Dive into the world of Artificial Intelligence and Machine Learning with Hands-On Machine Learning with Scikit-Learn and TensorFlow, one of the most popular and practical guides for learning modern machine learning techniques. Written by AI expert Aurélien Géron, this bestselling book combines theory with hands-on coding projects, helping readers build intelligent systems using industry-leading machine learning frameworks.

Hands-On Machine Learning with Scikit-Learn and TensorFlow by Aurélien Géron is a comprehensive machine learning guide that explores supervised learning, unsupervised learning, deep learning, neural networks, data preprocessing, model training, predictive analytics, artificial intelligence, TensorFlow, Scikit-Learn, and real-world AI applications.

The book provides a practical, project-based approach to machine learning, enabling readers to learn by building intelligent applications. It covers essential concepts such as classification, regression, clustering, dimensionality reduction, ensemble learning, support vector machines, decision trees, random forests, neural networks, and deep learning architectures.

Through clear explanations, code examples, and real-world datasets, readers learn how to prepare data, train models, evaluate performance, optimize algorithms, and deploy machine learning solutions. The book also introduces advanced topics such as deep neural networks, convolutional neural networks (CNNs), recurrent neural networks (RNNs), and AI-driven problem-solving techniques.

Widely recommended for data scientists, software developers, AI engineers, students, researchers, and business analysts, Hands-On Machine Learning with Scikit-Learn and TensorFlow serves as an essential resource for mastering machine learning and artificial intelligence.

Blending machine learning theory, practical programming, data science, deep learning, predictive modeling, and AI development, this book remains one of the most trusted resources in modern AI education.

Publisher: SHROFF PUBLISHING AND DISTRIBUTORS LTD

Language : English

Binding: PAPER BACK

Pages : 545