Machine Learning Thinking Explained | Problem Understanding vs Logical vs Analytical Mindset скачать в хорошем качестве

Machine Learning Thinking Explained | Problem Understanding vs Logical vs Analytical Mindset

This session explains the most important foundation of Machine Learning: how a Machine Learning engineer THINKS before writing any code. In this video, I clearly explain: ✔ What is Problem Understanding in Machine Learning ✔ What is Logical Thinking and how it helps in decision-making ✔ What is Analytical Mindset and how data is used to find insights ✔ Step-by-step comparison of all three thinking skills ✔ Real-life examples: • Student performance analysis • Loan approval decision making This session is useful for: • Beginners in Machine Learning • Engineering & Degree students • Data Science aspirants • Career switchers • Anyone who wants to understand ML from basics Machine Learning is not just algorithms. It starts with the right way of thinking. machine learning basics machine learning thinking ml for beginners problem understanding in machine learning logical thinking in python analytical thinking for data science data science basics machine learning foundation ml mindset how machine learning works machine learning concepts explained ml career guidance data science for students ml real life examples student performance analysis ml loan approval machine learning ai and machine learning basics machine learning without math sreedevi patnala Machine Learning Basics | ML Thinking | Problem Understanding Channel: Sreedevi Patnala