ML без приукрашивания: отвечаю на ваши самые частые вопросы

📌 Fill out the form now and receive a checklist of the "15 Most Popular Interview Questions and Answers" Pre-registration form: https://vk.cc/cO375f "ML Base" course: https://clck.ru/3PmfAx "ML in Business" course: https://clck.ru/3PmfE4 Telegram MLinside: https://t.me/+xPCRRLylQh5lMmI6 You often ask: "Is it possible to get into ML without a technical background?" "How much math do you really need?" "Is ML still alive or is neural networks already doing everything?" "Which language should I choose – Python or R?" In this video, Alexander Dubeykovsky answers the most frequently asked and honest questions from the comments – without fluff or embellishment. We explore fears, mistakes, and practical steps for getting started in machine learning. In this video: • Is it possible to enter ML without experience or a higher education? • What to do if you're afraid of math? • Which skills are more important—coding, theory, or soft skills? • Is it possible to get into IT from a related field? • Where to study if there are too many courses. This video will be useful for those who: • are thinking about switching to Data Science or ML; • don't know where to start; • are afraid they won't be able to handle it or are already stuck at the start. Speaker: Alexander Dubeykovsky, ML expert, former Yandex employee, instructor, and mentor at MLinside. Our "ML Basics" course helps beginners confidently master machine learning and prepare for their first job in the industry. #machinelearning #datascience #MLinside #mltraining #career If you liked the video, give it a like and subscribe to the MLinside channel. Here, we regularly publish honest answers to questions about ML, careers, and interviews. Timestamps: 00:00 — Introduction: Why this video and what questions viewers ask 00:27 — What real-life problems does an ML engineer solve at Yandex and Avito 02:13 — How to choose pet projects if you have no commercial experience 03:17 — Do you need SQL and how difficult is it 03:49 — Is it worth going into ML in 2025 — an honest answer 04:18 — Is it really possible to get into ML in a year without experience 05:09 — Do you need deep mathematics to work in ML 06:43 — Age and freelancing: Is it possible to get into ML after 30? 09:25 — What to do after learning the basics of ML: where to develop next 13:28 — Juniors, experience, and the truth about hiring in 2025 13:32 — The difference between an ML and an AI engineer 14:41 — Finale: Why Ask questions and join the MLinside community