Maximum Likelihood Estimation (MLE) & Bayesian Statistics | Deep Learning Unit 1 Part 3 🚀

Welcome to the Deep Learning Series 🎯 In this video, we will cover Unit 1: Machine Learning Basics, focusing on: 👉 Maximum Likelihood Estimation (MLE) 👉 Bayesian Statistics (Part 3) This lecture is explained in a simple and teaching-friendly way, so even beginners can understand it easily. 📚 What You Will Learn: ✔️ What is Maximum Likelihood Estimation (MLE) ✔️ Understanding Likelihood Function ✔️ Basics of Bayesian Statistics ✔️ Difference between MLE and Bayesian Approach ✔️ Simple examples for better understanding 🎯 Who Should Watch This: B.Tech Students GATE Aspirants Data Science Beginners Machine Learning Learners 🚀 Why This Video is Important: If you are starting your journey in Deep Learning or Data Science, this topic is very important to build strong fundamentals. 🔔 Support the Channel: 👍 Like | 💬 Comment | 🔔 Subscribe #DeepLearning #MachineLearning #MLE #BayesianStatistics #DataScience #AI #LearnWithManmohan