{"product_id":"9781838820299-mastering-machine-learning-alg","title":"Mastering Machine Learning Algorithms","description":"\u003cmeta content=\"text\/html; charset=utf-8\" http-equiv=\"Content-Type\"\u003e\u003cp\u003e\u003cspan\u003eExpert techniques for implementing popular machine learning algorithms, fine-tuning your models, and understanding how they work, 2nd Edition. A new second edition of the bestselling guide to exploring and mastering the most important algorithms for solving complex machine learning problems, updated to include Python 3.8 and TensorFlow 2.x as well as the latest in new algorithms and techniques. \u003cp\u003e\u003cb\u003eUpdated and revised second edition of the bestselling guide to exploring and mastering the most important algorithms for solving complex machine learning problems\u003c\/b\u003e\u003c\/p\u003eKey Features\u003cul\u003e\n\u003cli\u003eUpdated to include new algorithms and techniques\u003c\/li\u003e\n\u003cli\u003eCode updated to Python 3.8 \u0026amp; TensorFlow 2.x \u003c\/li\u003e\n\u003cli\u003eNew coverage of regression analysis, time series analysis, deep learning models, and cutting-edge applications\u003c\/li\u003e\n\u003c\/ul\u003eBook Description\u003cp\u003eMastering Machine Learning Algorithms, Second Edition helps you harness the real power of machine learning algorithms in order to implement smarter ways of meeting today's overwhelming data needs. This newly updated and revised guide will help you master algorithms used widely in semi-supervised learning, reinforcement learning, supervised learning, and unsupervised learning domains.\u003c\/p\u003e\n\u003cp\u003eYou will use all the modern libraries from the Python ecosystem – including NumPy and Keras – to extract features from varied complexities of data. Ranging from Bayesian models to the Markov chain Monte Carlo algorithm to Hidden Markov models, this machine learning book teaches you how to extract features from your dataset, perform complex dimensionality reduction, and train supervised and semi-supervised models by making use of Python-based libraries such as scikit-learn. You will also discover practical applications for complex techniques such as maximum likelihood estimation, Hebbian learning, and ensemble learning, and how to use TensorFlow 2.x to train effective deep neural networks.\u003c\/p\u003e\n\u003cp\u003eBy the end of this book, you will be ready to implement and solve end-to-end machine learning problems and use case scenarios.\u003c\/p\u003eWhat you will learn\u003cul\u003e\n\u003cli\u003eUnderstand the characteristics of a machine learning algorithm\u003c\/li\u003e\n\u003cli\u003eImplement algorithms from supervised, semi-supervised, unsupervised, and RL domains\u003c\/li\u003e\n\u003cli\u003eLearn how regression works in time-series analysis and risk prediction\u003c\/li\u003e\n\u003cli\u003eCreate, model, and train complex probabilistic models \u003c\/li\u003e\n\u003cli\u003eCluster high-dimensional data and evaluate model accuracy \u003c\/li\u003e\n\u003cli\u003eDiscover how artificial neural networks work – train, optimize, and validate them \u003c\/li\u003e\n\u003cli\u003eWork with autoencoders, Hebbian networks, and GANs\u003c\/li\u003e\n\u003c\/ul\u003eWho this book is for\u003cp\u003eThis book is for data science professionals who want to delve into complex ML algorithms to understand how various machine learning models can be built. Knowledge of Python programming is required.\u003c\/p\u003e\n\u003cbr\u003e\u003c\/span\u003e\u003c\/p\u003e","brand":"Rarewaves","offers":[{"title":"Default Title","offer_id":41078914744417,"sku":"9781838820299","price":53.78,"currency_code":"GBP","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0092\/7504\/8033\/files\/83d10446e6523b92b04c4c40ccc1688b.png?v=1700187754","url":"https:\/\/www.rarewaves.com\/products\/9781838820299-mastering-machine-learning-alg","provider":"Rarewaves.com","version":"1.0","type":"link"}