If you are a developer, tester, or a person in operations or Devops who wants to start practising CI, start using TeamCity or both, then this book is for you. Moreover, if you have thought about bringing CI into your team, if you are already using a CI tool and want to move to TeamCity, or if you are looking for ideal practises and techniques while implementing CI with TeamCity, this book will be useful.

If you are a Java developer, a software architect, a technical project manager, a build manager, or a development or QA engineer, then this book is ideal for you. A basic understanding of the software development life cycle and Java development is needed, as well as a rudimentary understanding of Jenkins.

This book is a must-have for software developers, business intelligence analysts, IT students, or anyone involved or interested in developing ETL solutions. If you plan on using Pentaho Data Integration for doing any data manipulation task, this book will help you as well. This book is also a good starting point for data warehouse designers, architects, or anyone who is responsible for data warehouse projects and needs to load data into them.

This book is a must-have for software developers, business intelligence analysts, IT students, or anyone involved or interested in developing ETL solutions. If you plan on using Pentaho Data Integration for doing any data manipulation task, this book will help you as well. This book is also a good starting point for data warehouse designers, architects, or anyone who is responsible for data warehouse projects and needs to load data into them.

This book is for Microsoft Enterprise developers, DevOps, and IT professionals who would like to use Azure App Service and Microsoft Cloud Integration technologies to create cloud-based web and mobile apps.

This book is for Microsoft Enterprise developers, DevOps, and IT professionals who would like to use Azure App Service and Microsoft Cloud Integration technologies to create cloud-based web and mobile apps.

This book is for machine learning engineers, data analysts, data scientists interested in deep learning and are looking to explore implementing advanced algorithms in PyTorch. Some knowledge of machine learning is helpful but not a mandatory need. Working knowledge of Python programming is expected.

If you have a basic knowledge of machine learning and want to implement various machine-learning concepts in the context of Spark ML, this book is for you. You should be well versed with the Scala and Python languages.

维克托·迈尔—舍恩伯格（Viktor Mayer-Schönberger）牛津大学互联网研究所教授，担任微软、世界经济论坛等大公司和组织的顾问，是大数据领域公认的权威，写过《大数据时代》等八本书和上百篇论文。 肯尼思·库克耶（Kenneth Cukier） 《经济学人》（The Economist）数据编辑，是一位著名的大数据发展评论员。 赵中建 华东师范大学课程与教学研究所教授，上海纽约大学文理学院副院长，国家基础教育课程教材专家工作委员会委员，长期致力于国际教育政策和基础教育研究。 张燕南 上海第二军医大学教师、华东师范大学博士。

We're living in a big data world. Being able to make near-real-time decisions becomes increasingly crucial. To succeed, we need machine learning systems that can turn massive amounts of data into valuable insights. But when you're just starting out in the data science field, how do you get started creating machine learning applications? The answer is TensorFlow, a new open sour...(展开全部)