{"books":[{"bookInfo":{"bookId":"3000693852","deepLink":"https://weread.qq.com/book-detail?type=1&v=469328c0811e2b209g0123e7","readerLink":"https://weread.qq.com/web/reader/469328c0811e2b209g0123e7","title":"Machine Learning","author":"Tom M. Mitchell","cover":"https://cdn.weread.qq.com/outpic/852/3000693852.jpg","intro":"This book covers the field of machine learning, which is the study of algorithms that allow computer programs to automatically improve through experience. The book is intended to support upper level undergraduate and introductory level graduate courses in machine learning.","publisher":"","price":0,"type":0,"payType":1,"bookStatus":5,"ispub":1,"cpid":0,"soldout":1,"format":"txt","finished":1,"showPaidInSearch":0,"paperBook":{"skuId":""},"isAutoDownload":1,"autoBookRequest":1},"searchIdx":1,"hints":"","reason":"","searchReport":"eyJxdWVyeSI6Ik1hY2hpbmUgTGVhcm5pbmciLCJxdWVyeV91aWQiOiIwZU9HYnl5fjNRUEsycEV5IiwiaXRlbV9pZHgiOjEsIml0ZW1faWQiOiIzMDAwNjkzODUyIiwiaXRlbV90eXBlIjo0fQ==","scope":3,"scopeCount":54,"subscribeCount":1,"seq":1,"type":0,"readingCount":0,"reading":0},{"bookInfo":{"bookId":"36697987","deepLink":"https://weread.qq.com/book-detail?type=1&v=3d7327e0722ff7833d77f6e","readerLink":"https://weread.qq.com/web/reader/3d7327e0722ff7833d77f6e","title":"Machine Learning for Algorithmic Trading","author":"Stefan Jansen","cover":"https://wfqqreader-1252317822.image.myqcloud.com/cover/987/36697987/s_36697987.jpg","intro":"The explosive growth of digital data has boosted the demand for expertise in trading strategies that use machine learning (ML). This revised and expanded second edition enables you to build and evaluate sophisticated supervised, unsupervised, and reinforcement learning models.This book introduces end-to-end machine learning for the trading workflow, from the idea and feature engineering to model optimization, strategy design, and backtesting. It illustrates this by using examples ranging from linear models and tree-based ensembles to deep-learning techniques from cutting edge research.This edition shows how to work with market, fundamental, and alternative data, such as tick data, minute and daily bars, SEC filings, earnings call transcripts, financial news, or satellite images to generate tradeable signals. It illustrates how to engineer financial features or alpha factors that enable an ML model to predict returns from price data for US and international stocks and ETFs. It also shows how to assess the signal content of new features using Alphalens and SHAP values and includes a new appendix with over one hundred alpha factor examples.By the end, you will be proficient in translating ML model predictions into a trading strategy that operates at daily or intraday horizons, and in evaluating its performance.","publisher":"Packt Publishing","price":90.46,"type":0,"payType":4097,"bookStatus":1,"ispub":1,"cpid":18120716,"soldout":0,"format":"epub","finished":1,"showPaidInSearch":0,"paperBook":{"skuId":""},"isAutoDownload":1},"searchIdx":2,"hints":"","reason":"","searchReport":"eyJxdWVyeSI6Ik1hY2hpbmUgTGVhcm5pbmciLCJxdWVyeV91aWQiOiIwZU9HYnl5fjNRUEsycEV5IiwiaXRlbV9pZHgiOjIsIml0ZW1faWQiOiIzNjY5Nzk4NyIsIml0ZW1fdHlwZSI6MH0=","type":0,"readingCount":4,"reading":4},{"bookInfo":{"bookId":"36698034","deepLink":"https://weread.qq.com/book-detail?type=1&v=b0c32fc0722ff7b2b0c62f2","readerLink":"https://weread.qq.com/web/reader/b0c32fc0722ff7b2b0c62f2","title":"The Machine Learning Workshop","author":"Hyatt Saleh","cover":"https://wfqqreader-1252317822.image.myqcloud.com/cover/34/36698034/s_36698034.jpg","intro":"Machine learning algorithms are an integral part of almost all modern applications. To make the learning process faster and more accurate, you need a tool flexible and powerful enough to help you build machine learning algorithms quickly and easily. With The Machine Learning Workshop, you'll master the scikit-learn library and become proficient in developing clever machine learning algorithms.The Machine Learning Workshop begins by demonstrating how unsupervised and supervised learning algorithms work by analyzing a real-world dataset of wholesale customers. Once you've got to grips with the basics, you’ll develop an artificial neural network using scikit-learn and then improve its performance by fine-tuning hyperparameters. Towards the end of the workshop, you'll study the dataset of a bank's marketing activities and build machine learning models that can list clients who are likely to subscribe to a term deposit. You'll also learn how to compare these models and select the optimal one.By the end of The Machine Learning Workshop, you'll not only have learned the difference between supervised and unsupervised models and their applications in the real world, but you'll also have developed the skills required to get started with programming your very own machine learning algorithms.","publisher":"Packt Publishing","price":63.21,"type":0,"payType":4097,"bookStatus":1,"ispub":1,"cpid":18120716,"soldout":0,"format":"epub","finished":1,"showPaidInSearch":0,"paperBook":{"skuId":""},"isAutoDownload":1},"searchIdx":3,"hints":"","reason":"","searchReport":"eyJxdWVyeSI6Ik1hY2hpbmUgTGVhcm5pbmciLCJxdWVyeV91aWQiOiIwZU9HYnl5fjNRUEsycEV5IiwiaXRlbV9pZHgiOjMsIml0ZW1faWQiOiIzNjY5ODAzNCIsIml0ZW1fdHlwZSI6MH0=","type":0,"readingCount":2,"reading":2},{"bookInfo":{"bookId":"34725434","deepLink":"https://weread.qq.com/book-detail?type=1&v=fb3324f07211de3afb376a0","readerLink":"https://weread.qq.com/web/reader/fb3324f07211de3afb376a0","title":"Python Machine Learning / Second Edition","author":"Sebastian Raschka  Vahid Mirjalili","cover":"https://wfqqreader-1252317822.image.myqcloud.com/cover/434/34725434/s_34725434.jpg","intro":"Unlock modern machine learning and deep learning techniques with Python by using the latest cutting-edge open source Python libraries.About This Book• Second edition of the bestselling book on Machine Learning• A practical approach to key frameworks in data science, machine learning, and deep learning• Use the most powerful Python libraries to implement machine learning and deep learning• Get to know the best practices to improve and optimize your machine learning systems and algorithmsWho This Book Is ForIf you know some Python and you want to use machine learning and deep learning, pick up this book. Whether you want to start from scratch or extend your machine learning knowledge, this is an essential and unmissable resource. Written for developers and data scientists who want to create practical machine learning and deep learning code, this book is ideal for developers and data scientists who want to teach computers how to learn from data.What You Will Learn• Understand the key frameworks in data science, machine learning, and deep learning• Harness the power of the latest Python open source libraries in machine learning• Explore machine learning techniques using challenging real-world data • Master deep neural network implementation using the TensorFlow library• Learn the mechanics of classification algorithms to implement the best tool for the job• Predict continuous target outcomes using regression analysis• Uncover hidden patterns and structures in data with clustering• Delve deeper into textual and social media data using sentiment analysisIn DetailMachine learning is eating the software world, and now deep learning is extending machine learning. Understand and work at the cutting edge of machine learning, neural networks, and deep learning with this second edition of Sebastian Raschka’s bestselling book, Python Machine Learning. Thoroughly updated using the latest Python open source libraries, this book offers the practical knowledge and techniques you need to create and contribute to machine learning, deep learning, and modern data analysis.Fully extended and modernized, Python Machine Learning Second Edition now includes the popular TensorFlow deep learning library. The scikit-learn code has also been fully updated to include recent improvements and additions to this versatile machine learning library. Sebastian Raschka and Vahid Mirjalili’s unique insight and expertise introduce you to machine learning and deep learning algorithms from scratch, and show you how to apply them to practical industry challenges using realistic and interesting examples. By the end of the book, you’ll be ready to meet the new data analysis opportunities in today’s world.If you’ve read the first edition of this book, you’ll be delighted to find a new balance of classical ideas and modern insights into machine learning. Every chapter has been critically updated, and there are new chapters on key technologies. You’ll be able to learn and work with TensorFlow more deeply than ever before, and get essential coverage of the Keras neural network library, along with the most recent updates to scikit-learn.Style and ApproachPython Machine Learning Second Edition takes a practical, hands-on coding approach so you can learn about machine learning by coding with Python. This book moves fluently between the theoretical principles of machine learning and the practical details of implementation with Python.","publisher":"Packt Publishing","price":71.93,"type":0,"payType":4097,"bookStatus":1,"ispub":1,"cpid":18120716,"soldout":0,"format":"epub","finished":1,"showPaidInSearch":0,"paperBook":{"skuId":""},"isAutoDownload":1},"searchIdx":4,"hints":"","reason":"","searchReport":"eyJxdWVyeSI6Ik1hY2hpbmUgTGVhcm5pbmciLCJxdWVyeV91aWQiOiIwZU9HYnl5fjNRUEsycEV5IiwiaXRlbV9pZHgiOjQsIml0ZW1faWQiOiIzNDcyNTQzNCIsIml0ZW1fdHlwZSI6MH0=","type":0,"readingCount":1,"reading":1},{"bookInfo":{"bookId":"36700959","deepLink":"https://weread.qq.com/book-detail?type=1&v=46a322407230031f46ab541","readerLink":"https://weread.qq.com/web/reader/46a322407230031f46ab541","title":"Statistics for Machine Learning","author":"Pratap Dangeti","cover":"https://wfqqreader-1252317822.image.myqcloud.com/cover/959/36700959/s_36700959.jpg","intro":"This book is intended for developers with little to no background in statistics, who want to implement Machine Learning in their systems. Some programming knowledge in R or Python will be useful.","publisher":"Packt Publishing","price":90.46,"type":0,"payType":4097,"bookStatus":1,"ispub":1,"cpid":18120716,"soldout":0,"format":"epub","finished":1,"showPaidInSearch":0,"paperBook":{"skuId":""},"isAutoDownload":1},"searchIdx":5,"hints":"","reason":"","searchReport":"eyJxdWVyeSI6Ik1hY2hpbmUgTGVhcm5pbmciLCJxdWVyeV91aWQiOiIwZU9HYnl5fjNRUEsycEV5IiwiaXRlbV9pZHgiOjUsIml0ZW1faWQiOiIzNjcwMDk1OSIsIml0ZW1fdHlwZSI6MH0=","type":0,"readingCount":1,"reading":1},{"bookInfo":{"bookId":"34725354","deepLink":"https://weread.qq.com/book-detail?type=1&v=317322507211ddea3173997","readerLink":"https://weread.qq.com/web/reader/317322507211ddea3173997","title":"Machine Learning with R","author":"Brett Lantz","cover":"https://wfqqreader-1252317822.image.myqcloud.com/cover/354/34725354/s_34725354.jpg","intro":"Solve real-world data problems with R and machine learningKey Features* Third edition of the bestselling, widely acclaimed R machine learning book, updated and improved for R 3.6 and beyond* Harness the power of R to build flexible, effective, and transparent machine learning models* Learn quickly with a clear, hands-on guide by experienced machine learning teacher and practitioner, Brett LantzBook DescriptionMachine learning, at its core, is concerned with transforming data into actionable knowledge. R offers a powerful set of machine learning methods to quickly and easily gain insight from your data.Machine Learning with R, Third Edition provides a hands-on, readable guide to applying machine learning to real-world problems. Whether you are an experienced R user or new to the language, Brett Lantz teaches you everything you need to uncover key insights, make new predictions, and visualize your findings.This new 3rd edition updates the classic R data science book to R 3.6 with newer and better libraries, advice on ethical and bias issues in machine learning, and an introduction to deep learning. Find powerful new insights in your data; discover machine learning with R.What you will learn* Discover the origins of machine learning and how exactly a computer learns by example* Prepare your data for machine learning work with the R programming language* Classify important outcomes using nearest neighbor and Bayesian methods* Predict future events using decision trees, rules, and support vector machines* Forecast numeric data and estimate financial values using regression methods* Model complex processes with artificial neural networks — the basis of deep learning* Avoid bias in machine learning models* Evaluate your models and improve their performance* Connect R to SQL databases and emerging big data technologies such as Spark, H2O, and TensorFlowWho this book is forData scientists, students, and other practitioners who want a clear, accessible guide to machine learning with R.","publisher":"Packt Publishing","price":70.84,"type":0,"payType":4097,"bookStatus":1,"ispub":1,"cpid":18120716,"soldout":0,"format":"epub","finished":1,"showPaidInSearch":0,"paperBook":{"skuId":""},"isAutoDownload":1},"searchIdx":6,"hints":"","reason":"","searchReport":"eyJxdWVyeSI6Ik1hY2hpbmUgTGVhcm5pbmciLCJxdWVyeV91aWQiOiIwZU9HYnl5fjNRUEsycEV5IiwiaXRlbV9pZHgiOjYsIml0ZW1faWQiOiIzNDcyNTM1NCIsIml0ZW1fdHlwZSI6MH0=","type":0,"readingCount":0,"reading":0},{"bookInfo":{"bookId":"36698448","deepLink":"https://weread.qq.com/book-detail?type=1&v=dc332540722ff950dc3ccba","readerLink":"https://weread.qq.com/web/reader/dc332540722ff950dc3ccba","title":"Machine Learning for OpenCV 4（Second Edition）","author":"Aditya Sharma Vishwesh Ravi Shrimali Michael Beyeler","cover":"https://wfqqreader-1252317822.image.myqcloud.com/cover/448/36698448/s_36698448.jpg","intro":"OpenCV is an opensource library for building computer vision apps. The latest release, OpenCV 4, offers a plethora of features and platform improvements that are covered comprehensively in this up-to-date second edition.You'll start by understanding the new features and setting up OpenCV 4 to build your computer vision applications. You will explore the fundamentals of machine learning and even learn to design different algorithms that can be used for image processing. Gradually, the book will take you through supervised and unsupervised machine learning. You will gain hands-on experience using scikit-learn in Python for a variety of machine learning applications. Later chapters will focus on different machine learning algorithms, such as a decision tree, support vector machines (SVM), and Bayesian learning, and how they can be used for object detection computer vision operations. You will then delve into deep learning and ensemble learning, and discover their real-world applications, such as handwritten digit classification and gesture recognition. Finally, you’ll get to grips with the latest Intel OpenVINO for building an image processing system.By the end of this book, you will have developed the skills you need to use machine learning for building intelligent computer vision applications with OpenCV 4.","publisher":"Packt Publishing","price":80.65,"type":0,"payType":4097,"bookStatus":1,"ispub":1,"cpid":18120716,"soldout":0,"format":"epub","finished":1,"showPaidInSearch":0,"paperBook":{"skuId":""},"isAutoDownload":1},"searchIdx":7,"hints":"","reason":"","searchReport":"eyJxdWVyeSI6Ik1hY2hpbmUgTGVhcm5pbmciLCJxdWVyeV91aWQiOiIwZU9HYnl5fjNRUEsycEV5IiwiaXRlbV9pZHgiOjcsIml0ZW1faWQiOiIzNjY5ODQ0OCIsIml0ZW1fdHlwZSI6MH0=","type":0,"readingCount":0,"reading":0},{"bookInfo":{"bookId":"36699070","deepLink":"https://weread.qq.com/book-detail?type=1&v=02e32b90722ffbbe02e1fc8","readerLink":"https://weread.qq.com/web/reader/02e32b90722ffbbe02e1fc8","title":"Machine Learning with Apache Spark Quick Start Guide","author":"Jillur Quddus","cover":"https://wfqqreader-1252317822.image.myqcloud.com/cover/70/36699070/s_36699070.jpg","intro":"Every person and every organization in the world manages data, whether they realize it or not. Data is used to describe the world around us and can be used for almost any purpose, from analyzing consumer habits to fighting disease and serious organized crime. Ultimately, we manage data in order to derive value from it, and many organizations around the world have traditionally invested in technology to help process their data faster and more efficiently.But we now live in an interconnected world driven by mass data creation and consumption where data is no longer rows and columns restricted to a spreadsheet, but an organic and evolving asset in its own right. With this realization comes major challenges for organizations: how do we manage the sheer size of data being created every second (think not only spreadsheets and databases, but also social media posts, images, videos, music, blogs and so on)? And once we can manage all of this data, how do we derive real value from it?The focus of Machine Learning with Apache Spark is to help us answer these questions in a hands-on manner. We introduce the latest scalable technologies to help us manage and process big data. 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It provides a set of supervised and unsupervised learning algorithms. This book is the easiest way to learn how to deploy, optimize, and evaluate all of the important machine learning algorithms that scikit-learn provides.This book teaches you how to use scikit-learn for machine learning. You will start by setting up and configuring your machine learning environment with scikit-learn. To put scikit-learn to use, you will learn how to implement various supervised and unsupervised machine learning models. You will learn classification, regression, and clustering techniques to work with different types of datasets and train your models.Finally, you will learn about an effective pipeline to help you build a machine learning project from scratch. By the end of this book, you will be confident in building your own machine learning models for accurate predictions.","publisher":"Packt Publishing","price":52.31,"type":0,"payType":4097,"bookStatus":1,"ispub":1,"cpid":18120716,"soldout":0,"format":"epub","finished":1,"showPaidInSearch":0,"paperBook":{"skuId":""},"isAutoDownload":1},"searchIdx":9,"hints":"","reason":"","searchReport":"eyJxdWVyeSI6Ik1hY2hpbmUgTGVhcm5pbmciLCJxdWVyeV91aWQiOiIwZU9HYnl5fjNRUEsycEV5IiwiaXRlbV9pZHgiOjksIml0ZW1faWQiOiIzNjY5OTI4NCIsIml0ZW1fdHlwZSI6MH0=","type":0,"readingCount":0,"reading":0},{"bookInfo":{"bookId":"36700511","deepLink":"https://weread.qq.com/book-detail?type=1&v=c3e320b07230015fc3e5439","readerLink":"https://weread.qq.com/web/reader/c3e320b07230015fc3e5439","title":"Machine Learning with TensorFlow 1.x","author":"Quan Hua Shams Ul Azeem Saif Ahmed","cover":"https://wfqqreader-1252317822.image.myqcloud.com/cover/511/36700511/s_36700511.jpg","intro":"This book is for data scientists and researchers who are looking to either migrate from an existing machine learning library or jump into a machine learning platform headfirst. The book is also for software developers who wish to learn deep learning by example. Particular focus is placed on solving commercial deep learning problems from several industries using TensorFlow’s unique features. 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