# Neuraldemy ## Posts - [100% Working Hostinger Discount Coupons & Promo Codes (2026)](https://neuraldemy.com/hostinger-discount-coupons-promo-codes/): Are you looking to launch your dream website without breaking the bank? You are in the right place! Hostinger is already renowned for offering high-quality, lightning-fast web hosting at budget-friendly prices. But why pay full price when you can secure an even better deal? We have compiled an exclusive list of Hostinger discount coupons and promotional links that guarantee the maximum possible savings on your purchase. Whether you are starting a simple blog, an e-commerce store, or scaling an agency, we have a specialized discount link tailored for your needs. Why Choose Hostinger? Before diving into the deals, here is why […] - [Honest Review: Data Structures And Algorithms Made Easy By Narasimha Karumanchi](https://neuraldemy.com/data-structures-and-algorithms-made-easy-by-narasimha-karumanchi/): If you are studying computer science or preparing for software engineering interviews, you have probably searched for the perfect study materials. When I wanted a resource to help me deeply understand core programming concepts mostly so I could create better YouTube videos I noticed one specific book with incredibly high ratings on Amazon. That book is Data Structures And Algorithms Made Easy By Narasimha Karumanchi. I decided to buy it to see if it was really as good as people said. After reading through it, I want to share my honest, first-hand review with you. Let me start with a warning: […] - [JavaScript Concepts Revision For Interview](https://neuraldemy.com/javascript-concepts-revision-for-interview/): In this tutorial, we will do JavaScript concepts revision for interview. If you already know JavaScript and you just want to revise important concepts then this is the right tutorial for you. Let’s get started. 1. Variables, Scope, and the Temporal Dead Zone (TDZ) In modern JavaScript (ES6 and beyond), we use let and const instead of the legacy var. To understand why, and to answer common interview questions, you have to understand scope and hoisting. Scope Scope determines where your variables are accessible. var is function-scoped. let and const are block-scoped. Hoisting and the TDZ Hoisting is JavaScript’s default behavior […] - [Git Tutorial: A Beginners Guide To Git And GitHub](https://neuraldemy.com/git-tutorial-a-beginners-guide-to-git-and-github/): Git is an important concept in software development. In this git tutorial we will guide you how to use Git and GitHub. Imagine a developer has a folder on their computer that looks exactly like this: They do this because they are terrified of breaking things. When you have a working piece of code, the last thing you want to do is change it, break it, and realize you can’t remember how to get back to the working version. Git was built to solve this exact problem. It is a version control system. You can think of it as a time […] - [Why RAM Prices Will Continue To Rise?](https://neuraldemy.com/why-ram-prices-will-continue-to-rise/): If you have tried to buy a new smartphone, upgrade your laptop, or build a gaming PC recently, you have likely noticed a painful trend: the ram prices is skyrocketing. Tech enthusiasts are calling it “RAMageddon.” In early 2026, memory costs surged so violently that they forced the entire consumer electronics industry to rewrite its price tags. Apple quietly raised the prices of its MacBooks by up to $500 for higher memory configurations, Microsoft adjusted Xbox pricing, and the cost of buying standard PC RAM off the shelf jumped by hundreds of dollars compared to a year ago. This isn’t just […] - [100 CSS Interview Questions](https://neuraldemy.com/100-css-interview-questions/): In this guide, we’ve compiled almost 100 CSS interview questions along with clear and easy-to-understand answers. From selectors, the box model, Flexbox, and Grid to positioning, animations, and responsive design, these questions will help you refresh your concepts and boost your confidence before your next interview. CSS Interview Questions List Module 1: The Engine & Specificity 1. What color is the text, and why? Answer: Blue. The first rule scores 110 (1 ID, 1 Class). The second scores 21 (1 Tag, 2 Classes). ID specificity always wins unless overridden by another ID or !important. 2. How do you override an inline […] - [FormData API: A Beginner’s Guide to Native Validation](https://neuraldemy.com/formdata-api-a-beginners-guide-to-native-validation/): If you’ve ever built a web form in React or plain JavaScript, you’ve probably felt the pain of managing it. You create a state variable for every single input, write custom functions to check if an email is valid, and manually bundle everything into a JSON object to send to your database . It feels like a lot of work because it is. The good news? The browser already knows how to do 90% of this work for you. In this guide, we are going to learn how to stop fighting the browser and start using native HTML features like the […] - [Strategy Pattern In JavaScript](https://neuraldemy.com/strategy-pattern-in-javascript/): A modular checkout processor that delegates payment execution to interchangeable strategy classes (Credit Card, PayPal, Crypto). This allows the application to swap complex payment and verification algorithms dynamically at runtime without altering the core checkout logic. - [Factory Pattern In JavaScript](https://neuraldemy.com/factory-pattern-in-javascript/): A dynamic notification service (Email, SMS, Push) built to strictly adhere to SOLID principles. By using the Factory pattern and interfaces, the system avoids fragile if/else blocks and remains fully open for extension but closed for modification. - [Inside OpenAI Military Deal and the Ousting of Anthropic](https://neuraldemy.com/inside-openai-military-deal-and-the-ousting-of-anthropic/): The intersection of Big Tech and the U.S. military just experienced one of its most turbulent weekends in history. In a span of less than 72 hours, the Pentagon ousted its primary AI partner, a $200 million defense contract changed hands, a massive consumer boycott took root, and OpenAI was forced to hastily rewrite a highly controversial military agreement. If you are just catching up on the drama surrounding the U.S. Department of Defense (recently referred to by the Trump administration and industry insiders as the “Department of War” or DoW) and the artificial intelligence sector, here is the complete, detailed […] - [Nano Banana 2: Google’s New AI Image Generator Just Fixed the Speed vs. Quality Problem](https://neuraldemy.com/nano-banana-2-googles-new-ai-image-generator-just-fixed-the-speed-vs-quality-problem/): If you have spent any time messing around with AI image generators, you probably know the frustrating trade-off. You usually have to pick between two less-than-ideal options: a model that generates images in seconds but struggles with basic anatomy and lighting, or a heavy, studio-quality model that takes a coffee break to render a single prompt. Google DeepMind just effectively killed that trade-off. Building on the viral success of their original image models, Google has officially launched Nano Banana 2. This new state-of-the-art model takes the deep, complex reasoning of Nano Banana Pro and straps it to the blazing-fast engine of […] - [The 5 Best Books for Learning Machine Learning Mathematics](https://neuraldemy.com/the-5-best-books-for-learning-machine-learning-mathematics/): Machine learning looks like magic until you peek under the hood and realize it’s mostly just a massive pile of math. If you’ve ever tried building a neural network, tweaking a loss function, or reading an artificial intelligence research paper, you already know that dodging linear algebra and calculus just isn’t an option. You have to know the numbers to build the models. But let’s be real: staring at 600-page academic textbooks can be incredibly exhausting and overwhelming. That is exactly why we’ve put together our own hyper-focused, easy-to-digest Mathematics for Machine Learning Notes. Instead of wading through decades of dense […] - [Singleton pattern In JavaScript](https://neuraldemy.com/singleton-pattern-in-javascript/): An in-memory cache system that guarantees a single global instance using the Singleton Pattern in JavaScript/TypeScript - [Dynamic Array Implementation Modern C++](https://neuraldemy.com/dynamic-array-implementation-modern-c/): In this post, we’ll walk through a simplified implementation of a dynamic array class called MyVector. It mirrors many of the behaviors of std::vector while staying small enough to reason about and explain in an interview or learning context. - [How to Fix RangeError: Maximum Call Stack Size Exceeded in React & Next.js](https://neuraldemy.com/how-to-fix-rangeerror-maximum-call-stack-size-exceeded-in-react-next-js/): If you’ve been spending time building modern web applications with React or Next.js, you’ve probably encountered a truly frustrating sight in your console: RangeError: Maximum call stack size exceeded. This error looks intimidating, but you can think of it as your JavaScript engine waving a white flag and saying, “I’m out of memory!” It’s one of the most common issues developers face. In simple terms, it means you’ve created an infinite loop. This post will break down what’s actually happening and, more importantly, give you the exact steps to debug and fix it. The Core Problem: Understanding the Call Stack To […] - [[Fixed]CallbackRouteError & CredentialsSignin Error In Next-Auth@Beta(Auth.Js)](https://neuraldemy.com/fixedcallbackrouteerror-credentialssignin-error/): When I first started using NextAuth.js beta (next-auth@beta) with the Credentials provider, I figured it would be a quick setup: collect the user’s email and password, hand them off to signIn, and let NextAuth handle the rest. Instead, I spent four hours chasing down a confusing CallbackRouteError: Illegal arguments: string, undefined, and sometimes CredentialsSignin Erorr. I was frustrated because their documentation does not look good to me. I have shared my response in the GitHub issue here but I thought why not share it for other people to find. If you’re seeing the same error, this post will walk you through […] - [What's Is AI Labyrinth By Cloudflare?](https://neuraldemy.com/whats-is-ai-labyrinth-by-cloudflare/): Cloudflare has recently introduced a new tool called AI Labyrinth to help protect websites from unwanted web scrapers. In today’s digital age, many companies and individuals post their content online and expect that their work is respected. Unfortunately, many artificial intelligence companies collect data from the web without asking for permission. In the past, website owners have relied on a file called robots.txt to tell bots which parts of their site they can visit. However, these simple instructions are often ignored by many AI companies. AI Labyrinth is Cloudflare’s creative response to this growing problem. Cloudflare is one of the largest […] - [ChatGPT’s Studio Ghibli-Style Image Generation: The Good & The Bad!](https://neuraldemy.com/chatgpts-studio-ghibli-style-image-generation/): ChatGPT’s latest update has sent shockwaves through both the creative and legal worlds with its new Studio Ghibli–style image generation feature. Leveraging the enhanced capabilities of the updated GPT‑4o model, users can now transform ordinary photographs into enchanting illustrations that evoke the hand-drawn magic of iconic films like “My Neighbor Totoro” and “Spirited Away.” This feature, initially exclusive to paid subscribers but now available in a limited capacity for free users, has sparked a viral wave on social media, with millions sharing their “Ghiblified” images. Early demonstrations even led to server overloads and humorous comments from CEO Sam Altman about “melting […] - [Google's Gemma 3: Bringing Powerful AI to Your Fingertips](https://neuraldemy.com/googles-gemma-3-explained/): Google has consistently pushed the boundaries of artificial intelligence, and its family of open models, known as Gemma, is a testament to this commitment. Designed to be fast and efficient, these models empower developers to build innovative AI applications that can run directly on a wide array of devices, from smartphones and laptops to powerful workstations . The Gemma series has rapidly gained popularity within the developer community, evidenced by over 100 million downloads of its initial versions . Now, Google has unveiled its latest and most advanced iteration: Gemma 3 . This new model is built upon the same cutting-edge […] - [CSS Grid - The Ultimate Guide](https://neuraldemy.com/css-grid-the-ultimate-guide/): CSS Grid is a powerful layout system designed to create complex web layouts with ease. Unlike Flexbox, which works in one dimension (either row or column), Grid operates in two dimensions, allowing for precise placement of elements across both rows and columns. This blog post will take you through an in-depth look at CSS Grid, explaining every property in detail to ensure you master this layout system. 1. Grid Container Properties Defining a Grid Container To enable grid functionality, set the display property to grid or inline-grid. The difference is that grid makes the container a block-level element, while inline-grid makes […] - [Generative AI Tools, Like ChatGPT And Copilot, Are Affecting Critical Thinking!](https://neuraldemy.com/generative-ai-tools-are-affecting-critical-thinking/): A recent study by researchers from Carnegie Mellon University and Microsoft Research explores how generative AI tools, like ChatGPT and Copilot, are affecting critical thinking in professional settings. As AI becomes a regular part of daily work, there are growing concerns about its impact on human reasoning and problem-solving skills. The study surveyed 319 knowledge workers and collected 936 real-life examples of how AI is used in their jobs. Researchers wanted to understand how often people engage in critical thinking while using AI and whether AI assistance makes tasks easier or harder. One key discovery was that confidence plays a big […] - [Understanding Memoization in JavaScript: Optimizing Function Calls with Caching](https://neuraldemy.com/memoization-in-javascript/): When writing code, efficiency is one of the most critical factors to consider. Many functions, especially those performing expensive computations or recursive calls, can lead to unnecessary recalculations, making the program slower. One common technique to solve this problem is memoization in JavaScript. Memoization is an optimization strategy that involves caching function results so that future calls with the same arguments return the cached result instead of recomputing the output. This simple yet powerful approach can significantly improve performance and reduce redundant computations. At its core, memoization in JavaScript transforms a function into a version that “remembers” previously computed results. This […] - [MIT Researchers Develop AI Model for Human-Like Vocal Imitations](https://neuraldemy.com/mit-researchers-develop-ai-model-for-human-like-vocal-imitations/): Researchers at the Massachusetts Institute of Technology (MIT) have unveiled an innovative artificial intelligence (AI) model capable of mimicking everyday sounds that humans commonly produce. Drawing inspiration from the human vocal tract, the model can replicate sounds such as a snake’s hiss, an approaching ambulance siren, or the rustling of leaves. This breakthrough could reshape how machines interact with humans by creating more intuitive and lifelike interfaces in fields like entertainment, education, and sound design. Understanding Vocal Imitation Vocal imitation is an intrinsic human ability, allowing us to recreate sounds from the environment to communicate in ways that words sometimes cannot. […] - [Pickle Module In Python: A Comprehensive Guide for Beginners](https://neuraldemy.com/pickle-module-in-python-a-guide-for-beginners/): The pickle module in Python is used for serializing and deserializing Python objects. Notice the stress is on Python objects. The goal of this tutorial is to help you understand the concepts related to pickle module in python, and how to use it. I will show some examples, and also give you some problems to practice in the jupyter notebook below. So, let’s get started. Basics Of Serialization Before we understand how pickle module works, we need to understand what it is designed for. In programming or computer science, we often need to save complex data structures or objects for later […] - [Python OS Module: A Comprehensive Guide for Beginners](https://neuraldemy.com/python-os-module/): The python os module is a powerful tool that allows you to interact with your operating system directly from your Python scripts. Whether you’re building a file management system, automating system tasks, or simply need to navigate directories, the OS module has got you covered. In this tutorial, we’ll dive deep into the python os module, exploring its key functions and demonstrating how to use them effectively. By the end, you’ll have a solid understanding of how to leverage this module in your Python projects. Free Intermediate 5 Days to Learn OS Module Prerequisites Basic Python Knowledge Understanding of File and […] - [Mathematics For Machine Learning: Mathematical Intuition Basics](https://neuraldemy.com/mathematics-for-machine-learning/): Mathematics is the core of many sciences, including machine learning and data science. But how exactly does it help us solve such complex problems? What happens behind the scene that allows us to teach computers to perform tasks that seemed impossible decades ago? The answer lies in the power of mathematics, which provides the tools and frameworks needed to model, analyze, and solve these problems. In this tutorial on mathematics for machine learning, we will build mathematical intuition, exploring how core mathematical concepts drive the algorithms and techniques we use today. We will focus on the fundamentals as these concepts are […] - [Autoencoders: Fundamentals of Encoders and Decoders Using Neural Nets](https://neuraldemy.com/autoencoders-fundamentals-of-encoders-and-decoders/): In the previous tutorials, we have talked about various neural nets architectures. In this tutorial, we will learn about Autoencoders and their application in machine learning. As we already know, dimensionality reduction is a crucial technique in machine learning and data science, used to simplify complex datasets while preserving their essential characteristics. Two prominent methods for this task are Principal Component Analysis (PCA) and Autoencoders. While PCA is a traditional linear method, Autoencoders represent a more flexible, non-linear approach leveraging deep learning. Principal Component Analysis is a linear dimensionality reduction technique that transforms a dataset into a new coordinate system. The […] - [ResNet And DenseNet Implementation In Depth](https://neuraldemy.com/resnet-and-densenet-implementation-in-depth/): In recent years, convolutional neural networks (CNNs) have revolutionized the field of computer vision, enabling machines to recognize patterns, classify images, and even generate artwork. Among the numerous advancements in CNN architectures, ResNet and DenseNet stand out due to their innovative designs and remarkable performance improvements. In this article, we will delve into the concepts behind of ResNet and DenseNet, exploring their architectures, underlying principles, and practical implementations. CNNs are designed to automatically and adaptively learn spatial hierarchies of features from input images. They consist of several types of layers, including: A detailed tutorial on CNNs is available here. CNNs have […] - [Install Miniconda on Windows (The EASIEST Way! )](https://neuraldemy.com/install-miniconda-on-windows-the-easiest-way/): This video is your one-stop shop for installing Miniconda on Windows, the essential tool for your journey! We’ll walk you through the entire process step-by-step, ensuring you have a clean and optimized environment for your projects. Plus, we’ll show you how to fire up Jupyter Notebook, a powerful data analysis and exploration platform. This video is perfect for: By the end of this video, you’ll be able to: - [Convolutional Neural Networks (CNNs): Concept And Application](https://neuraldemy.com/convolutional-neural-networks-cnns/): In the previous tutorial on Introduction to Artificial Neural Networks (ANNs), we explored the fundamentals of deep learning and witnessed the capabilities of fully connected neural networks in tackling various tasks. We delved into how neurons within FNNs connect to solve basic problems like regression and classification. However, the human brain excels at solving significantly more intricate tasks beyond the capabilities of FNNs. To address these challenges, we have developed various types of artificial neurons, each tailored for specific problems. For instance, image and video processing requires a more complex architecture than traditional FNNs can offer. This is where convolutional neural […] - [TensorFlow Simplified Guide For Beginners](https://neuraldemy.com/tensorflow-simplified-guide-for-beginners/): TensorFlow is an open-source machine learning library developed by the Google Brain team. It provides a comprehensive set of tools and capabilities for building and deploying various machine learning and deep learning models. This is a TensorFlow Simplified Guide for Beginners who are taking our tutorials on deep learning. It is made available free for all. Features: Keras: Definition: Keras is an open-source high-level neural networks API written in Python. Originally developed as an independent library, Keras has been integrated into TensorFlow as its official high-level API since TensorFlow version 2.0. Features: Here is the tutorial for you: Tensorflow Simplified Guide Part […] - [[In Depth] Deep Learning: Introduction To Artificial Neural Networks (ANNs)](https://neuraldemy.com/deep-learning-introduction-to-anns/): In our previous tutorials, we explored different machine-learning tools to solve problems like predicting house prices or classifying emails. But what if we want computers to understand the world more humanly, like recognizing different cat breeds in a photo or translating languages fluently? That’s where Deep Learning comes in! Deep learning is an advanced and dynamic subset of machine learning that has revolutionized the field of artificial intelligence. While machine learning provides valuable insights and predictions based on data, deep learning takes a giant leap forward by leveraging complex neural networks to automatically learn and make intelligent decisions. It allows computers […] - [Test Of Consciousness For AI: A Simple Test to Determine if AI Can Exhibit Consciousness Similar to Humans](https://neuraldemy.com/test-of-consciousness-how-to-know/): When should we be afraid of AI replacing humans? How can we discern whether AI possesses self-consciousness and thinking abilities? Is consciousness present in current AI systems, if yes, how can we know? I suggest a straightforward test of consciousness that comprehensively addresses the aforementioned questions. This test will enable us to evaluate whether artificial intelligence can think, generate novel (new) knowledge (never created before) or exhibit consciousness similar to humans. Caution This post primarily addresses a human-level (or beyond) test of consciousness and intelligence, with certain aspects also applicable to other conscious beings. My post is open to discussion and […] - [Gaussian Mixture Models](https://neuraldemy.com/gaussian-mixture-models/): Gaussian Mixture Models related concepts are explained in the notebook below. Please practice and ask your questions in the forum if any. Please don’t share the notebook anywhere without our permission. Gaussian Mixture Models: Concept And Application Gaussian Mixture Model (GMM) vs. K-Means: Comparison Comparison K-Means GMM Objective Partition data into K clusters with nearest mean Model data as a mixture of Gaussian distributions Cluster Shape Spherical and equally sized clusters Flexible, accommodates varied shapes and sizes Uncertainty and Probabilistic Assignment Provides hard assignments Provides probabilistic assignments (soft clustering) Assumption Assumes equal variance and isotropic clusters Allows for different variances and […] - [[In Depth] Nearest Neighbors: Concept And Application](https://neuraldemy.com/nearest-neighbors-concept/): In this tutorial, we will learn our next machine-learning model called nearest neighbors (NN), known as k-nearest Neighbors (k-NN). It belongs to the family of supervised learning algorithms, specifically within the category of instance-based learning (like SVM). Unlike many other models involving complex mathematical equations and intricate training processes, k-NN relies on a beautifully simple principle – that similar instances are likely to share common characteristics. Traditional machine learning models go through a training phase where they learn patterns and relationships from the provided data. In contrast, k-NN doesn’t have a distinct training phase. It memorizes the entire training dataset, essentially […] - [A Beginner's Guide to Data Preprocessing In ML](https://neuraldemy.com/guide-to-data-preprocessing-in-ml/): Welcome to a beginner’s guide to data preprocessing in machine learning. In the previous few tutorials, we saw some basic concepts and a few models related to Linear Regression. In this tutorial, you will learn about data preprocessing techniques. It involves steps like Exploratory Data Analysis (EDA), Feature Selection, and Feature Engineering. Each step is crucial in preparing your data for the ultimate goal: training a model that can make accurate predictions or insightful decisions. Before you do anything you should get to know about your data and visualize it. Try to understand your raw data as much as possible. Visualize […] - [[In Depth] Stochastic Gradient Descent: Concept And Application](https://neuraldemy.com/stochastic-gradient-descent/): If you have been following my previous tutorials, you must be familiar with other optimization techniques to solve ML problems. In this tutorial, I am going to introduce you to a numerical optimization technique called stochastic gradient descent which is widely used in modern machine-learning models such as neural nets. This tutorial is very important and will serve as the foundation for deep learning-related tutorials. Please don’t skip this. Now, why does SGD stand out? Well, unlike some other methods that might be a bit slow and meticulous, SGD is like a speedy learner. It adapts quickly, updating its knowledge with […] - [[In Depth] Logistic Regression: Concept And Application](https://neuraldemy.com/in-depth-logistic-regression/): In our last tutorial, we discussed naive Bayes, a nifty tool for categorizing things. Now, let’s delve into logistic regression, another heavyweight in the world of classification. So, why go with logistic regression instead of naive Bayes? Picture this: naive Bayes can get a bit puzzled when it encounters practically inseparable features. It treats them like independent entities and tends to be overly optimistic in its predictions. Now, logistic regression steps in as the problem-solver. It manages these closely tied features more effectively by sharing the workload between them, providing more accurate results. When dealing with loads of data or hefty […] - [[In Depth] Linear Regression: Concept And Application](https://neuraldemy.com/in-depth-linear-regression-concept-and-application/): Imagine you are a real estate agent trying to estimate the price of a house based on its size. You’ve probably noticed that larger houses tend to have higher prices, but how can you quantify this relationship? This is where linear regression, a fundamental concept in machine learning, comes into play. Linear regression is a powerful tool that helps us understand and predict the relationship between two variables. In our real estate example, the size of the house is the independent variable (also known as the predictor or feature), and the price is the dependent variable (the target or outcome). Linear […] - [Probability Calibration in Machine Learning](https://neuraldemy.com/probability-calibration-in-machine-learning/): Probability calibration is the key to unlocking the true potential of machine learning models, ensuring that the predicted probabilities align with the actual likelihood of events. In this tutorial, we will see how we can perform probability calibration, using techniques like sigmoid calibration and isotonic regression, both conveniently implemented through the sklearn library. Here’s a sneak peek at what we are going to learn: By the end of this tutorial, you’ll have a solid understanding of these calibration techniques and the practical skills to implement them using sklearn. If you have any questions, feel free to ask in the forum. - [[In depth] Naive Bayes: Concept And Application](https://neuraldemy.com/in-depth-naive-bayes-concept-and-application/): In this tutorial, we will learn our next machine-learning model called Naive Bayes. Naive Bayes is widely recognized as a sophisticated and effective tool known for its simplicity. Rooted in Bayesian probability theory, it has proven invaluable in diverse applications such as text classification, spam filtering, and medical diagnosis. Its strength lies in its capacity to make precise predictions with minimal computational complexity, making it a foundational concept in both introductory machine-learning courses and real-world applications. Prerequisites What You Will Learn: If you are familiar with Bayes theorem you can easily grasp the idea of Naive Bayes. It calculates the probability […] - [[In Depth] Random Forests & Ensemble Learning: Concept And Application](https://neuraldemy.com/in-depth-random-forests-ensemble-learning-concept-and-application/): In this tutorial, we are going to learn an advanced concept related to decision trees called random forests. The idea behind random forests is the concept of ensembling. Sir Francis Galton (1822–1911), an English philosopher and statistician, was the brain behind the basic ideas of standard deviation and correlation. Once, during a visit to a livestock fair, Galton got interested in a simple game where people tried to guess the weight of an ox. Lots of folks joined in, but no one hit the exact weight: 1,198 pounds. But guess what? Galton discovered something cool – when he averaged out all […] - [[In Depth] Decision Trees: Concept And Application](https://neuraldemy.com/in-depth-decision-trees-concept-and-application/): In this post, we will learn about our next machine-learning algorithm, Decision Trees. Imagine you’re trying to decide what movie to watch. You ask simple questions like “Do you want action or comedy?” based on your answers, you keep narrowing down your choices until you find the perfect movie. That’s exactly how Decision Trees work in computers. They help machines make smart choices by asking simple questions. Let’s dive into the world of Decision Trees and see how they make decisions and how we can use decision trees in machine learning problems. Prerequisites What You Will Learn Basic Concepts Related To […] - [[In Depth] Support Vector Machine: Concepts And Applications](https://neuraldemy.com/support-vector-machines/): In this post, we will learn about our next machine learning algorithm called support vector machine or SVM or support vector networks. This is a crucial concept and a powerful algorithm that has an advantage over neural networks when it comes to finding the optimum solution. We use SVM mainly for classification and regression tasks and sometimes even for clustering tasks. It is a supervised learning algorithm. But what makes SVM truly special? How does it work its magic in discerning patterns within data? In this tutorial, we embark on a journey into the world of SVM, unraveling its concepts, breaking […] - [Machine Learning: An Introduction](https://neuraldemy.com/machine-learning-an-introduction/): At its core, Machine Learning (ML) is like having a super-smart computer that learns from experience. Imagine teaching a child to recognize animals by showing them pictures and explaining what each one is. Over time, the child becomes better at identifying animals without needing your guidance for every single picture. Similarly, ML allows computers to learn patterns and make decisions without explicit programming. Concise History The genesis of machine learning finds its roots in the mid-20th century, a pivotal period marked by the intersection of computing and theoretical musings on artificial intelligence (AI). The luminary figure in this narrative is Alan […] - [[In Depth] Linear Discriminant Analysis: Concepts And Application](https://neuraldemy.com/linear-discriminant-analysis/): In the previous post, we learned about PCA and how to use PCA in machine learning for various applications. In this tutorial, we are going to learn about linear discriminant analysis (LDA). In PCA we project the higher dimensional data to lower dimensions but we are only concerned with the features of the data in LDA we consider the classes of the data. This means LDA allow us to project data in a manner so that classes are linearly well separable. This means LDA is a supervised learning algorithm since we have labels involved here. So, let’s get started. If you […] - [[In Depth] Principal Components Analysis: Concepts And Application](https://neuraldemy.com/principal-components-analysis/): In the previous post, we learned about SVD and how to use SVD for low-rank approximation. Building upon the concepts of SVD now let’s learn about principal component analysis and how to use this advanced tool for machine learning problems. Imagine you are working with a dataset with many features or a higher-dimensional dataset. The first problem you will face is figuring out what these features say about the data and how to find the important features. Additionally, It becomes really challenging to visualize such features since they exist in a higher dimension. That’s where the PCA comes in to help […] - [[In Depth] Singular Value Decomposition: Concepts And Applications](https://neuraldemy.com/singular-value-decomposition/): The singular value decomposition (SVD) is a crucial concept for machine learning that builds the foundation of many algorithms you will use throughout your machine learning journey. It’s not only used in ML or data science but in other fields too. At its core, SVD breaks down complex datasets into simpler, more interpretable components, helping us get some deeper insights. It also allows you to find solutions to various problems such as image compression, text mining, and multidimensional data analysis. That’s why it’s so important to understand. For machine learning, you don’t need to learn how to implement SVD in Python […] - [Intelligence, Knowledge, Data, Information, AGI, Superintelligence And Responsible AI](https://neuraldemy.com/intelligence-knowledge-data-information/): As human beings, we need information in one form or another for our survival. Imagine a human baby, it doesn’t know about the consequences of getting into the fire until it goes near it. The moment the baby receives the information that the fire can burn him that’s the moment he realizes that he should be away from the fire and the baby keeps this information in his memory forever. This is actually how we learn or most of the time our caretakers teach us based on their experiences or learnings received from their ancestors but just know that this is […] - [AI & Jobs: Understanding How Things May Actually Happen](https://neuraldemy.com/ai-jobs-understanding-how-things-may-actually-happen/): AI these days seems to be a hot topic, maybe because of the release of ChatGPT or maybe I feel that way because of the way we consume information on the internet suggested mostly by recommendation engines. There are tonnes of videos talking about how ChatGPT will replace many jobs/businesses (even from news sources). No doubt ChaGPT appears to be really good at so many things that one can think (or many are even worried) that the way the AI field is progressing soon we will have far better AI that will replace many jobs. There are so many things you need […] - [Why AI Won’t Replace Your Jobs!!](https://neuraldemy.com/why-ai-wont-replace-your-jobs/): All over the Internet people are just crazy about AIs these days — even the ones who don’t know how AI works are creating videos and articles. The reason behind doing this is to increase engagement on their posts. It’s a hot topic so everyone is doing it. The key players are news sources because that’s what they do best. You will notice, they always write scary titles. In this post, I will tell you why AI won’t replace your jobs. The reality is we have not yet created AI. What you see today are mathematical algorithms running on data. Creating […] - [Create A To-Do-List App In Python: Complete Tutorial](https://neuraldemy.com/create-a-to-do-list-app-in-python-complete-tutorial/): In this tutorial you will learn how to create a to-do-list app in Python is really an interesting project idea. I have created one such project. Please check out the code below and see if you can create it on your own. Make sure you are familiar with OOP in Python before you start. Please note this project also covers errors and exception handling so if you are a beginner make sure to practice simple projects first. What You Will Learn: Please make sure to code along to learn faster. You can’t copy the site content due to security purposes. Make […] - [Notes App In Python: Complete Tutorial](https://neuraldemy.com/notes-app-in-python-complete-tutorial/): This unique notes app in Python allows users to create and manage notes on their computers. It’s user-friendly and tested. In case you find any bugs feel free to report them. Try on your own and see what you can achieve. Please note this app is the result of my own thought process. Unique suggestions and improvements are welcome. In this project you will learn: Prerequisites: Please note there are some limitations in the update_note() function due to the operating system. Rest everything works fine. It’s a great project to learn the os module, file r,w, r+ and more. Make sure […] - [E-commerce App In Python - User Facing](https://neuraldemy.com/e-commerce-app-in-python-use-facing/): In this post, I will share how we can implement the concept of fast e-commerce-based applications such as Blinkit and Zepto in Python. We will deliver groceries in seconds. In this application, you will learn a lot of things. I have designed it independently and will keep improving it with more ideas. Let’s see how we can implement an e-commerce app in Python What You Will Learn In this app, users can: Prerequisites Before we start: Please note that this is just a user-facing implementation, not the whole app, which means e-commerce applications often involve many parties. This app works and […] - [19 Basic Machine Learning Questions](https://neuraldemy.com/19-basic-machine-learning-questions/): Before I start, I would like to mention that these 19 basic machine learning questions have been taken from the amazing book Hands-on Machine Learning with Scikit-Learn, Keras, and TensorFlow by Aurélien Géron. I am trying to put answers to all the basic questions in one place so that anyone can re-visit the post and get an overall idea or refresh their concepts. 1. What Is Machine Learning? Ans: Machine Learning is a science of programming computers to allow them to learn from the given data. (Comment your definitions as well 😅) A computer program is said to learn from experience […] - [How To Create A Signup And Login Form In Python With Validation](https://neuraldemy.com/signup-and-login-form-in-python/): In this post, you will see how you can design your own signup and login form in Python with user validation and start building your own apps. Before we go to the production approach, we first need to see the beginners model and then part 2 covers the production part. Prerequisites: What You Will Learn: Part 1: Beginner Level For Practice So, let’s get started. First of all, we are going to import the regex for email validation and create a database. 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