Pragmatic AI
Noah Gift
- 出版商: Addison-Wesley Professional
- 出版日期: 2018-09-01
- 售價: $1,500
- 貴賓價: 9.5 折 $1,425
- 語言: 英文
- 頁數: 272
- 裝訂: Paperback
- ISBN: 0134863860
- ISBN-13: 9780134863863
-
相關分類:
人工智慧
立即出貨 (庫存=1)
買這商品的人也買了...
-
貴賓價: $279OpenCV 3 計算機視覺 : Python 語言實現 (原書第2版)(Learning OpenCV 3 Computer Vision with Python, 2/e)
-
貴賓價: $1,361Advanced Deep Learning with Keras: Applying GANs and other new deep learning algorithms to the real world (Paperback)
-
售價: $177人工智能
-
貴賓價: $279諸神之眼 : Nmap 網絡安全審計技術揭秘
-
貴賓價: $336走近安全——網絡世界的攻與防
-
貴賓價: $336scikit learn機器學習:常用算法原理及編程實戰
-
$400售價: $199 -
貴賓價: $1,249Web Application Security, A Beginner's Guide (Paperback)
商品描述
Master Powerful Off-the-Shelf Business Solutions for AI and Machine Learning
Pragmatic AI will help you solve real-world problems with contemporary machine learning, artificial intelligence, and cloud computing tools. Noah Gift demystifies all the concepts and tools you need to get results—even if you don’t have a strong background in math or data science.
Gift illuminates powerful off-the-shelf cloud offerings from Amazon, Google, and Microsoft, and demonstrates proven techniques using the Python data science ecosystem. His workflows and examples help you streamline and simplify every step, from deployment to production, and build exceptionally scalable solutions. As you learn how machine language (ML) solutions work, you’ll gain a more intuitive understanding of what you can achieve with them and how to maximize their value.
Building on these fundamentals, you’ll walk step-by-step through building cloud-based AI/ML applications to address realistic issues in sports marketing, project management, product pricing, real estate, and beyond. Whether you’re a business professional, decision-maker, student, or programmer, Gift’s expert guidance and wide-ranging case studies will prepare you to solve data science problems in virtually any environment.
- Get and configure all the tools you’ll need
- Quickly review all the Python you need to start building machine learning applications
- Master the AI and ML toolchain and project lifecycle
- Work with Python data science tools such as IPython, Pandas, Numpy, Juypter Notebook, and Sklearn
- Incorporate a pragmatic feedback loop that continually improves the efficiency of your workflows and systems
- Develop cloud AI solutions with Google Cloud Platform, including TPU, Colaboratory, and Datalab services
- Define Amazon Web Services cloud AI workflows, including spot instances, code pipelines, boto, and more
- Work with Microsoft Azure AI APIs
- Walk through building six real-world AI applications, from start to finish
Register your book for convenient access to downloads, updates, and/or corrections as they become available. See inside book for details.