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Анатолий Постолит Основы искусственного интеллекта в примерах на Python. Самоучитель

Анатолий Постолит Основы искусственного интеллекта в примерах на Python. Самоучитель

1887.00 RUB
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Price: 1887.00 RUB

A Practical Guide to AI with Python – Perfect for Liverpool FC Fans Exploring Tech

Dive into the world of artificial intelligence with this hands-on self-tutorial, "Анатолий Постолит Основы искусственного интеллекта в примерах на Python. Самоучитель." Written for beginners and intermediate learners, this book covers the fundamentals of AI concepts and definitions, while building a solid foundation in Python programming. It walks you through software implementation of neural network elements and constructing multi-layer neural networks, using specialized libraries like PyBrain, Scikit-learn, Keras, and TensorFlow for structuring and training networks. Image processing is also explored with ImageAI and OpenCV.

The material is illustrated with clear examples, demonstrating pre-trained neural networks for object recognition, creating custom datasets, and practical network training. The second edition features updated code, library versions, improved diagrams, and corrections based on reader feedback. An electronic archive with all code listings is available for download from the publisher’s website.

Priced at 1887.00 RUR, this guide is ideal for Liverpool fans keen on tech or anyone wanting to master AI basics through Python. Whether you’re analyzing match data or just starting your AI journey, this book offers a structured, example-driven approach.

Customer reviews

Andrew Blake ★★★★★
In short, The card is very clear and well-organized, making it easy to quickly understand what this Python AI book offers. I appreciate the detailed breakdown of topics like neural networks and the list of libraries covered. The price and download info are also presented upfront, which is helpful.
Alex Turner ★★★★★
The card is very clear and well-organized, making it easy to quickly understand what this Python AI book offers. I appreciate the detailed breakdown of topics like neural networks and the list of libraries covered. The price and download info are also presented upfront, which is helpful.