Machine Learning Approaches #machinelearningtechniques #mltbcs055

Machine Learning /

# 🌈 Machine Learning Approaches — AKTU BCS-055 🤖 Machine Learning Approaches AKTU BCS-055 — Unit I Artificial Neural Network • Clustering • Reinforcement Learning • Decision Tree • Bayesian Network • SVM • Genetic Algorithm 📌 Introduction Machine Learning can be implemented using different approaches depending on the type of problem, available data, and […]

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Multiple Linear Regression Explained

Artificial Intelligence, Machine Learning /

📈 Multiple Linear Regression Explained PostNetwork Academy 🚀 | Machine Learning Series 📌 What is Regression? Regression is a supervised learning technique where we predict a continuous numerical value instead of a category. Example: predicting house price, temperature, salary, etc. 🏠 House Price Dataset (Multiple Features) Area Bedrooms Age Price (Lakh) 1000 2 5 40

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Loan Approval Dataset से Classification Problem को समझें

Agentic AI, Artificial Intelligence, Machine Learning, Machine Learning /

Loan Approval Dataset से Classification Problem को समझें नमस्कार दोस्तों! PostNetwork Academy में आपका स्वागत है। आज हम Machine Learning की एक बहुत महत्वपूर्ण concept — Classification Problem — को एक simple Loan Approval Dataset की मदद से समझेंगे। 📌 Classification क्या है? Classification एक ऐसी Machine Learning problem है जिसमें model को किसी input

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Steps in Designing a Learning System | AKTU BCS-055 Machine Learning Techniques

Agentic AI /

Steps in Designing a Learning System A learning system improves its performance through experience. Before we can build one, we need a precise, engineering-level definition of what “learning” actually means — and Tom Mitchell gave us exactly that. This post walks through the five steps used to design any machine learning system, from defining the

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Machine Learning Techniques

Artificial Intelligence, Deep Learning, Machine Learning, Machine Learning, Probability and Statistics, Projects /

Complete Machine Learning Course (All Lectures + Resources) Unit Lecture Topic Video PDF Quiz Program I L1 Introduction to ML ▶ Video PDF Quiz – I L2 Types of Learning ▶ Video PDF Quiz – I L3 Well-defined Problems ▶ Video PDF Quiz – I L4 Learning System Design ▶ Video PDF Quiz – I

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Latex Workshop for Research Paper Writing

Latex /

Workshop Detail Presentation Resources Latex Tutorials 1-https://www.bu.edu/math/files/2013/08/ShortTeX3.pdf 2-https://cdn.overleaf.com/static/latex/learn/free-online-introduction-to-latex-part-1.pdf 3-https://tobi.oetiker.ch/lshort/lshort.pdf  Latex Diagrams  Tikz  Package 4-https://tug.ctan.org/info/visualtikz/VisualTikZ.pdf 5-https://www.bu.edu/math/files/2013/08/tikzpgfmanual.pdf   See Also: Beamer Latex Code to Explain Variance What is Research? How to Write a Research Paper

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Normal Distribution – Numerical Problems with Solutions

Artificial Intelligence, Machine Learning, Probability and Statistics /

Normal Distribution – Numerical Problems with Solutions Author: Bindeshwar Singh Kushwaha Platform: PostNetwork Academy 1. Definition of Normal Distribution A continuous random variable $X$ follows a Normal Distribution with mean $\mu$ and variance $\sigma^2$ if its probability density function (PDF) is: $$ f(x) = \frac{1}{\sigma \sqrt{2\pi}} e^{ -\frac{(x – \mu)^2}{2\sigma^2} }, \quad -\infty < x

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Retrieval-Augmented Generation (RAG) with LLMs

Retrieval-Augmented Generation (RAG)Retrieval-Augmented Generation (RAG) Explained | LLMs and the Need for RAG

Agentic AI, Generative A. I., Large Language Models, RAG /

Retrieval-Augmented Generation (RAG) LLMs and the Need for RAG Author: Bindeshwar Singh Kushwaha Platform: PostNetwork Academy Let’s Start With a Question Suppose you ask a Large Language Model: “What is the medical history of my uncle?” Will the LLM know the answer? Answer: No. Why Can’t the LLM Answer? LLMs are trained on public Internet

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