{"title":"Yuxi Liu","description":null,"products":[{"product_id":"python-machine-learning-by-example-book-yuxi-liu-9781789616729","title":"Python Machine Learning By Example","description":"Python Machine Learning by Example covers in detail the most important concepts, techniques, algorithms, and libraries that every data scientist or machine learning practitioner needs to know. This example-enriched guide will make your learning journey easier and happier, enabling you to solve real-world data-driven problems.","brand":"WoB","offers":[{"title":"GB \/ VERY_GOOD \/ INTERNAL","offer_id":49662567448849,"sku":"GOR013336335","price":0.0,"currency_code":"GBP","in_stock":false},{"title":"US \/ VERY_GOOD \/ SBYB","offer_id":50391232184593,"sku":"CIN1789616727VG","price":0.0,"currency_code":"GBP","in_stock":false},{"title":"GB \/ LIKE_NEW \/ INTERNAL","offer_id":51027915735313,"sku":"GOR014166283","price":0.0,"currency_code":"GBP","in_stock":false},{"title":"GB \/ NEW \/ INGRAM","offer_id":52659552256273,"sku":"NLS9781789616729","price":0.0,"currency_code":"GBP","in_stock":true},{"title":"US \/ NEW \/ INGRAM","offer_id":53036957073681,"sku":"NIN9781789616729","price":0.0,"currency_code":"GBP","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0784\/4072\/6801\/files\/1789616727.jpg?v=1750929886"},{"product_id":"python-machine-learning-by-example-book-yuxi-liu-9781783553112","title":"Python Machine Learning By Example","description":"Take tiny steps to enter the big world of data science through this interesting guide  About This Book  • Learn the fundamentals of machine learning and build your own intelligent applications • Master the art of building your own machine learning systems with this example-based practical guide • Work with important classification and regression algorithms and other machine learning techniques  Who This Book Is For  This book is for anyone interested in entering the data science stream with machine learning. Basic familiarity with Python is assumed.  What You Will Learn  • Exploit the power of Python to handle data extraction, manipulation, and exploration techniques • Use Python to visualize data spread across multiple dimensions and extract useful features • Dive deep into the world of analytics to predict situations correctly • Implement machine learning classification and regression algorithms from scratch in Python • Be amazed to see the algorithms in action • Evaluate the performance of a machine learning model and optimize it • Solve interesting real-world problems using machine learning and Python as the journey unfolds  In Detail  Data science and machine learning are some of the top buzzwords in the technical world today. A resurging interest in machine learning is due to the same factors that have made data mining and Bayesian analysis more popular than ever. This book is your entry point to machine learning. This book starts with an introduction to machine learning and the Python language and shows you how to complete the setup. Moving ahead, you will learn all the important concepts such as, exploratory data analysis, data preprocessing, feature extraction, data visualization and clustering, classification, regression and model performance evaluation. With the help of various projects included, you will find it intriguing to acquire the mechanics of several important machine learning algorithms – they are no more obscure as they thought. Also, you will be guided step by step to build your own models from scratch. Toward the end, you will gather a broad picture of the machine learning ecosystem and best practices of applying machine learning techniques. Through this book, you will learn to tackle data-driven problems and implement your solutions with the powerful yet simple language, Python. Interesting and easy-to-follow examples, to name some, news topic classification, spam email detection, online ad click-through prediction, stock prices forecast, will keep you glued till you reach your goal.  Style and approach  This book is an enticing journey that starts from the very basics and gradually picks up pace as the story unfolds. Each concept is first succinctly defined in the larger context of things, followed by a detailed explanation of their application. Every concept is explained with the help of a project that solves a real-world problem, and involves hands-on work—giving you a deep insight into the world of machine learning. With simple yet rich language—Python—you will understand and be able to implement the examples with ease.","brand":"WoB","offers":[{"title":"US \/ VERY_GOOD \/ SBYB","offer_id":50055246086417,"sku":"CIN1783553111VG","price":0.0,"currency_code":"GBP","in_stock":false},{"title":"US \/ GOOD \/ SBYB","offer_id":50399767920913,"sku":"CIN1783553111G","price":0.0,"currency_code":"GBP","in_stock":false},{"title":"US \/ NEW \/ INGRAM","offer_id":51052024168721,"sku":"NIN9781783553112","price":0.0,"currency_code":"GBP","in_stock":false},{"title":"GB \/ NEW \/ GARDNERS","offer_id":51630502674705,"sku":"NGR9781783553112","price":0.0,"currency_code":"GBP","in_stock":true},{"title":"GB \/ NEW \/ INGRAM","offer_id":52137716351249,"sku":"NLS9781783553112","price":0.0,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0784\/4072\/6801\/files\/1783553111.jpg?v=1750929443"},{"product_id":"python-machine-learning-by-example-book-yuxi-liu-9781800209718","title":"Python Machine Learning by Example","description":"Equipped with the latest updates, this third edition of Python Machine Learning By Example provides a comprehensive course for ML enthusiasts to strengthen their command of ML concepts, techniques, and algorithms.","brand":"WoB","offers":[{"title":"GB \/ VERY_GOOD \/ INTERNAL","offer_id":50194452087057,"sku":"GOR013884651","price":0.0,"currency_code":"GBP","in_stock":true},{"title":"US \/ GOOD \/ SBYB","offer_id":50400777896209,"sku":"CIN1800209711G","price":0.0,"currency_code":"GBP","in_stock":false},{"title":"US \/ NEW \/ INGRAM","offer_id":51053674594577,"sku":"NIN9781800209718","price":0.0,"currency_code":"GBP","in_stock":false},{"title":"GB \/ NEW \/ INGRAM","offer_id":52410915815697,"sku":"NLS9781800209718","price":0.0,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0784\/4072\/6801\/files\/1800209711.jpg?v=1751442779"},{"product_id":"r-deep-learning-projects-book-yuxi-liu-9781788478403","title":"R Deep Learning Projects","description":"5 real-world projects to help you master deep learning concepts  About This Book  • Master the different deep learning paradigms and build real-world projects related to text generation, sentiment analysis, fraud detection, and more  • Get to grips with R's impressive range of Deep Learning libraries and frameworks such as deepnet, MXNetR, Tensorflow, H2O, Keras, and text2vec  • Practical projects that show you how to implement different neural networks with helpful tips, tricks, and best practices  Who This Book Is For  Machine learning professionals and data scientists looking to master deep learning by implementing practical projects in R will find this book a useful resource. A knowledge of R programming and the basic concepts of deep learning is required to get the best out of this book.  What You Will Learn  • Instrument Deep Learning models with packages such as deepnet, MXNetR, Tensorflow, H2O, Keras, and text2vec  • Apply neural networks to perform handwritten digit recognition using MXNet • Get the knack of CNN models, Neural Network API, Keras, and TensorFlow for traffic sign classification • Implement credit card fraud detection with Autoencoders  • Master reconstructing images using variational autoencoders  • Wade through sentiment analysis from movie reviews  • Run from past to future and vice versa with bidirectional Long Short-Term Memory (LSTM) networks  • Understand the applications of Autoencoder Neural Networks in clustering and dimensionality reduction  In Detail  R is a popular programming language used by statisticians and mathematicians for statistical analysis, and is popularly used for deep learning. Deep Learning, as we all know, is one of the trending topics today, and is finding practical applications in a lot of domains. This book demonstrates end-to-end implementations of five real-world projects on popular topics in deep learning such as handwritten digit recognition, traffic light detection, fraud detection, text generation, and sentiment analysis. You'll learn how to train effective neural networks in R—including convolutional neural networks, recurrent neural networks, and LSTMs—and apply them in practical scenarios. The book also highlights how neural networks can be trained using GPU capabilities. You will use popular R libraries and packages—such as MXNetR, H2O, deepnet, and more—to implement the projects.  By the end of this book, you will have a better understanding of deep learning concepts and techniques and how to use them in a practical setting.  Style and approach  This book's unique, learn-as-you-do approach ensures the reader builds on his understanding of deep learning progressively with each project. This book is designed in such a way that implementing each project will empower you with a unique skillset and enable you to implement the next project more confidently.","brand":"WoB","offers":[{"title":"US \/ GOOD \/ SBYB","offer_id":50401070285073,"sku":"CIN1788478401G","price":0.0,"currency_code":"GBP","in_stock":false},{"title":"GB \/ NEW \/ INGRAM","offer_id":52120633016593,"sku":"NLS9781788478403","price":0.0,"currency_code":"GBP","in_stock":true},{"title":"US \/ NEW \/ INGRAM","offer_id":52754905465105,"sku":"NIN9781788478403","price":0.0,"currency_code":"GBP","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0784\/4072\/6801\/files\/1788478401.jpg?v=1750833782"},{"product_id":"python-machine-learning-by-example-book-yuxi-liu-9781835085622","title":"Python Machine Learning By Example","description":"Author 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. Free with your book: DRM-free PDF version + access to Packt's next-gen Reader*  Key Features  Discover new and updated content on NLP transformers, PyTorch, and computer vision modeling Includes a dedicated chapter on best practices and additional best practice tips throughout the book to improve your ML solutions Implement ML models, such as neural networks and linear and logistic regression, from scratch  Book DescriptionThe 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.  Explore 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.  This 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. *Email sign-up and proof of purchase requiredWhat you will learn  Follow machine learning best practices throughout data preparation and model development Build and improve image classifiers using convolutional neural networks (CNNs) and transfer learning Develop and fine-tune neural networks using TensorFlow and PyTorch Analyze sequence data and make predictions using recurrent neural networks (RNNs), transformers, and CLIP Build classifiers using support vector machines (SVMs) and boost performance with PCA Avoid overfitting using regularization, feature selection, and more  Who this book is forThis 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.","brand":"WoB","offers":[{"title":"US \/ NEW \/ INGRAM","offer_id":51053550338321,"sku":"NIN9781835085622","price":0.0,"currency_code":"GBP","in_stock":false},{"title":"GB \/ NEW \/ INGRAM","offer_id":52539935457553,"sku":"NLS9781835085622","price":0.0,"currency_code":"GBP","in_stock":true},{"title":"US \/ LIKE_NEW \/ SBYB","offer_id":52885687304465,"sku":"CIN1835085628LN","price":0.0,"currency_code":"GBP","in_stock":false},{"title":"US \/ GOOD \/ SBYB","offer_id":52934117490961,"sku":"CIN1835085628G","price":0.0,"currency_code":"GBP","in_stock":false},{"title":"US \/ VERY_GOOD \/ SBYB","offer_id":53613817397521,"sku":"CIN1835085628VG","price":0.0,"currency_code":"GBP","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0784\/4072\/6801\/files\/1835085628.jpg?v=1767866289"},{"product_id":"pytorch-1-x-reinforcement-learning-cookbook-book-yuxi-liu-9781838551964","title":"PyTorch 1.x Reinforcement Learning Cookbook","description":"Implement reinforcement learning techniques and algorithms with the help of real-world examples and recipes  Key Features  Use PyTorch 1.x to design and build self-learning artificial intelligence (AI) models Implement RL algorithms to solve control and optimization challenges faced by data scientists today Apply modern RL libraries to simulate a controlled environment for your projects  Book DescriptionReinforcement learning (RL) is a branch of machine learning that has gained popularity in recent times. It allows you to train AI models that learn from their own actions and optimize their behavior. PyTorch has also emerged as the preferred tool for training RL models because of its efficiency and ease of use.  With this book, you'll explore the important RL concepts and the implementation of algorithms in PyTorch 1.x. The recipes in the book, along with real-world examples, will help you master various RL techniques, such as dynamic programming, Monte Carlo simulations, temporal difference, and Q-learning. You'll also gain insights into industry-specific applications of these techniques. Later chapters will guide you through solving problems such as the multi-armed bandit problem and the cartpole problem using the multi-armed bandit algorithm and function approximation. You'll also learn how to use Deep Q-Networks to complete Atari games, along with how to effectively implement policy gradients. Finally, you'll discover how RL techniques are applied to Blackjack, Gridworld environments, internet advertising, and the Flappy Bird game.  By the end of this book, you'll have developed the skills you need to implement popular RL algorithms and use RL techniques to solve real-world problems.  What you will learn  Use Q-learning and the state–action–reward–state–action (SARSA) algorithm to solve various Gridworld problems Develop a multi-armed bandit algorithm to optimize display advertising Scale up learning and control processes using Deep Q-Networks Simulate Markov Decision Processes, OpenAI Gym environments, and other common control problems Select and build RL models, evaluate their performance, and optimize and deploy them Use policy gradient methods to solve continuous RL problems  Who this book is forMachine learning engineers, data scientists and AI researchers looking for quick solutions to different reinforcement learning problems will find this book useful. Although prior knowledge of machine learning concepts is required, experience with PyTorch will be useful but not necessary.","brand":"WoB","offers":[{"title":"US \/ NEW \/ INGRAM","offer_id":51055783182609,"sku":"NIN9781838551964","price":0.0,"currency_code":"GBP","in_stock":false},{"title":"GB \/ NEW \/ INGRAM","offer_id":52455003062545,"sku":"NLS9781838551964","price":0.0,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0784\/4072\/6801\/files\/1838551964.jpg?v=1751279862"},{"product_id":"hands-on-deep-learning-architectures-with-python-book-yuxi-liu-9781788998086","title":"Hands-On Deep Learning Architectures with Python","description":"This book explains the essential learning algorithms used for deep and shallow architectures. Packed with practical implementations to help you understand the concepts and ideas required to build efficient artificial intelligence systems, this book will help you construct deep models using popular frameworks and datasets.","brand":"WoB","offers":[{"title":"GB \/ NEW \/ INGRAM","offer_id":52587104010513,"sku":"NLS9781788998086","price":0.0,"currency_code":"GBP","in_stock":true},{"title":"US \/ NEW \/ INGRAM","offer_id":53036953272593,"sku":"NIN9781788998086","price":0.0,"currency_code":"GBP","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0784\/4072\/6801\/files\/9781788998086.jpg?v=1761055711"}],"url":"https:\/\/www.worldofbooks.com\/en-au\/collections\/author-books-by-yuxi-liu.oembed","provider":"World of Books ","version":"1.0","type":"link"}