ML in 2025: How to Start from Scratch and Avoid Failure (A Step-by-Step Plan from Experience) | P...
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Alexander Dubeykovsky is an expert in machine learning in business (3 years of experience at Yandex), a mentor to students and schoolchildren in IT, and a graduate of the Yandex School of Data Analysis.
How can you start learning machine learning (ML) from scratch in 2025 and avoid wasting years? In this video, Alexander shares his proven step-by-step plan to help you quickly enter the world of data science and master the profession of a machine learning developer.
You'll learn:
Why learning ML in 2025 has become easier thanks to ChatGPT and new technologies;
What professions are in demand in data science and what should a beginner choose;
Where to start: mathematics, Python, algorithms, and interview preparation;
How to use ChatGPT as a personal mentor and speed up your learning by 2-3 times.
This is the first part of a comprehensive guide to learning ML from scratch. Suitable for both students and those changing careers and wanting to enter IT with minimal risk.
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Timestamps:
00:00 – Introduction: Why ML Has Become Easier in 2025
01:44 – How Technologies Are Changing the Labor Market and Demand for Data Science
03:00 – Key Data Science Professions: Which One to Choose for a Beginner
04:42 – How ChatGPT Is Changing ML Training
07:52 – Step-by-Step Learning Plan: Key Steps to Get Started
09:29 – Probability Theory and Statistics: The Basics
10:44 – Learning Python and Preparing for Interviews
14:00 – Part 1 Summary: Key Things to Get Started
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