Скачать или смотреть Python for AI and Machine Learning | From Basics to AI Agents & Careers

In this session, we introduce Python for Machine Learning and Artificial Intelligence, explaining why Python is the most preferred language for AI despite being slower than C++ or Java. We explore the Python ecosystem, including essential libraries such as NumPy, Pandas, SciPy, scikit-learn, TensorFlow, and PyTorch.

The video covers:

Difference between Compilers and Interpreters

Python fundamentals required before AI and ML

Role of CPUs, GPUs, and TPUs in training large AI models like ChatGPT

Comparison between rule-based programming and machine learning

Overview of traditional ML, deep learning, transformers, and generative AI

Introduction to AI agent development and cloud-based execution

Tools used by data scientists: Jupyter Notebook, VS Code, Cloud GPUs

Career guidance for Data Science, ML, AI, and Robotics roles

Skills and salary expectations in AI and Robotics industry

This video is ideal for students, working professionals, data engineers, and beginners who want to transition into Machine Learning, Artificial Intelligence, or Robotics.