{"product_id":"9781835082225","title":"Python Machine Learning By Example: Unlock machine learning best practices with real-world use cases","description":"\u003cb\u003eAuthor Yuxi (Hayden) Liu teaches machine learning from the fundamentals to building NLP transformers and multimodal models with best practice tips and real-world examples using PyTorch, TensorFlow, scikit-learn, and pandas.\u003c\/b\u003e\u003cp\u003eFree with your book: DRM-free PDF version + access to Packt's next-gen Reader*\u003c\/p\u003e\u003cstrong\u003eKey Features\u003c\/strong\u003e\u003cul\u003e\n\u003cli\u003eDiscover new and updated content on NLP transformers, PyTorch, and computer vision modeling\u003c\/li\u003e\n\u003cli\u003eIncludes a dedicated chapter on best practices and additional best practice tips throughout the book to improve your ML solutions\u003c\/li\u003e\n\u003cli\u003eImplement ML models, such as neural networks and linear and logistic regression, from scratch\u003c\/li\u003e\n\u003c\/ul\u003e\u003cstrong\u003eBook Description\u003c\/strong\u003eThe fourth edition of Python Machine Learning By Example is a comprehensive guide for beginners and experienced machine learning practitioners who want to learn more advanced techniques, such as multimodal modeling. Written by experienced machine learning author and ex-Google machine learning engineer Yuxi (Hayden) Liu, this edition emphasizes best practices, providing invaluable insights for machine learning engineers, data scientists, and analysts.\u003cp\u003eExplore advanced techniques, including two new chapters on natural language processing transformers with BERT and GPT, and multimodal computer vision models with PyTorch and Hugging Face. You’ll learn key modeling techniques using practical examples, such as predicting stock prices and creating an image search engine.\u003c\/p\u003e\u003cp\u003eThis hands-on machine learning book navigates through complex challenges, bridging the gap between theoretical understanding and practical application. Elevate your machine learning and deep learning expertise, tackle intricate problems, and unlock the potential of advanced techniques in machine learning with this authoritative guide.\u003c\/p\u003e*Email sign-up and proof of purchase required\u003cstrong\u003eWhat you will learn\u003c\/strong\u003e\u003cul\u003e\n\u003cli\u003eFollow machine learning best practices throughout data preparation and model development\u003c\/li\u003e\n\u003cli\u003eBuild and improve image classifiers using convolutional neural networks (CNNs) and transfer learning\u003c\/li\u003e\n\u003cli\u003eDevelop and fine-tune neural networks using TensorFlow and PyTorch\u003c\/li\u003e\n\u003cli\u003eAnalyze sequence data and make predictions using recurrent neural networks (RNNs), transformers, and CLIP\u003c\/li\u003e\n\u003cli\u003eBuild classifiers using support vector machines (SVMs) and boost performance with PCA\u003c\/li\u003e\n\u003cli\u003eAvoid overfitting using regularization, feature selection, and more\u003c\/li\u003e\n\u003c\/ul\u003e\u003cstrong\u003eWho this book is for\u003c\/strong\u003e\u003cp\u003eThis expanded fourth edition is ideal for data scientists, ML engineers, analysts, and students with Python programming knowledge. The real-world examples, best practices, and code prepare anyone undertaking their first serious ML project.\u003c\/p\u003e","brand":"Packt Publishing","offers":[{"title":"Default Title","offer_id":46331372896497,"sku":"9781835082225","price":36.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0674\/5433\/7265\/files\/9781835082225_p0.jpg?v=1765586157","url":"https:\/\/shop.barnesandnoble.com\/products\/9781835082225","provider":"Barnes \u0026 Noble","version":"1.0","type":"link"}