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.
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