Hands On Machine Learning With Scikit Learn And Tensorflow by Aurélien Géron
- Publisher: COMPUTER SCIENCE
- Availability: In Stock
- SKU: 52344
- Number of Pages: 864
Rs.1,740.00
Rs.2,190.00
Tags: advanced machine learning , AI , Aurélien Géron , best books , Best Selling Books , coding machine learning , data preprocessing , data science tools , deep learning , deep neural networks , end-to-end machine learning , feature engineering , good books , hands-on AI , hands-on projects , machine learning algorithms , machine learning applications , machine learning book , machine learning pipeline , machine learning practice , machine learning projects , machine learning techniques , machine learning theory , ML , ML coding , ML deployment , ML frameworks , ML models , ML techniques , model evaluation , practical machine learning , predictive modeling , python machine learning , real-world machine learning , reinforcement learning , scikit learn , scikit learn examples , scikit learn library , scikit learn tutorial , supervised learning , tensorflow , tensorflow examples , tensorflow guide , tensorflow library , unsupervised learning
In Hands-On Machine Learning with Scikit-Learn and TensorFlow, Aurélien Géron guides you through the most effective machine learning techniques and practices using Python libraries such as TensorFlow and Scikit-Learn. This third edition is updated and expanded to include the latest developments in deep learning, model evaluation, and TensorFlow 2.x.
The book begins with a comprehensive introduction to machine learning, covering fundamental concepts and techniques that every aspiring data scientist or machine learning enthusiast should know. From there, Géron dives into practical examples and hands-on projects that demonstrate how to apply these concepts to real-world problems. You'll learn how to preprocess data, select appropriate models, tune hyperparameters, and deploy your models for production. The text also covers advanced topics like neural networks, natural language processing (NLP), and generative adversarial networks (GANs), ensuring you have a broad understanding of modern machine learning applications.
Key Points:
- Comprehensive coverage of both Scikit-Learn and TensorFlow libraries.
- Hands-on projects and examples to reinforce learning.
- Updated for TensorFlow 2.x and the latest advancements in machine learning.
- Practical guidance on model evaluation, hyperparameter tuning, and deployment.
════ ⋆★⋆ ═══
Writer ✤ Aurélien Géron (Author)
Related Products
Rs.590.00
Rs.650.00
Rs.375.00
Rs.500.00
Rs.1,500.00
Rs.2,095.00
Rs.480.00
Rs.492.00
Rs.650.00
Rs.795.00
Rs.300.00
Rs.350.00
Rs.690.00
Rs.750.00
