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Pragmatic AI: An Introduction to Cloud-Based Machine Learning (Addison Wesley Data & Analytics) 1st Edition, Kindle Edition

by Noah Gift (Author) Format: Kindle Edition
3.4 3.4 out of 5 stars 33 ratings
See all formats and editions

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.

Previous page
  1. ISBN-13
    978-0134863863
  2. Edition
    1st
  3. Sticky notes
    On Kindle Scribe
  4. Publisher
    Addison-Wesley Professional
  5. Publication date
    July 12, 2018
  6. Language
    English
  7. File size
    31630 KB
  8. See all details
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Editorial Reviews

About the Author

Noah Gift is lecturer and consultant at UC Davis Graduate School of Management in the MSBA program. Professionally, Noah has approximately 20 years’ experience programming in Python and is a member of the Python Software Foundation. He has worked for a variety of companies in roles ranging from CTO, general manager, consulting CTO, and cloud architect. Currently, he is consulting start-ups and other companies on machine learning and cloud architecture, and is doing CTO-level consulting via Noah Gift Consulting. He has published close to 100 technical publications including two books on subjects ranging from cloud machine learning to DevOps. He is also a certified AWS Solutions Architect. Noah has an MBA from University of California, Davis; an MS in computer information systems from California State University, Los Angeles; and a BS in nutritional science from Cal Poly, San Luis Obispo. You can find more about Noah by following him on Github (https://github.com/noahgift/), visiting http://noahgift.com, or connecting with him on https://www.linkedin.com/in/noahgift/.

Product details

  • ASIN ‏ : ‎ B07FB8F8QP
  • Publisher ‏ : ‎ Addison-Wesley Professional; 1st edition (July 12, 2018)
  • Publication date ‏ : ‎ July 12, 2018
  • Language ‏ : ‎ English
  • File size ‏ : ‎ 31630 KB
  • Simultaneous device usage ‏ : ‎ Up to 5 simultaneous devices, per publisher limits
  • Text-to-Speech ‏ : ‎ Enabled
  • Screen Reader ‏ : ‎ Supported
  • Enhanced typesetting ‏ : ‎ Enabled
  • X-Ray ‏ : ‎ Not Enabled
  • Word Wise ‏ : ‎ Not Enabled
  • Sticky notes ‏ : ‎ On Kindle Scribe
  • Print length ‏ : ‎ 272 pages
  • Customer Reviews:
    3.4 3.4 out of 5 stars 33 ratings

About the author

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Noah Gift

Noah Gift

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Noah Gift is the founder of Pragmatic AI Labs. Noah Gift lectures at MSDS, at Northwestern, Duke MIDS Graduate Data Science Program, and the Graduate Data Science program at UC Berkeley and the UC Davis Graduate School of Management MSBA program, and UNC Charlotte Data Science Initiative. He is teaching and designing graduate machine learning, A.I., Data Science courses, and consulting on Machine Learning and Cloud Architecture for students and faculty. These responsibilities include leading a multi-cloud certification initiative for students.

Noah is a Python Software Foundation Fellow, and AWS ML Hero. He currently holds the following industry certifications for AWS: AWS Subject Matter Expert (SME) on Machine Learning, AWS Certified Solutions Architect, and AWS Certified Machine Learning Specialist, AWS Certified Big Data Specialist, AWS Academy Accredited Instructor, AWS Faculty Ambassador. He also is certified on both the Google and Azure platform: Google Certified Professional Cloud Architect, Certified Microsoft MTA on Python. He has published over 100 technical publications including multiple books on subjects ranging from Cloud Machine Learning to DevOps. Publications appear in Forbes, IBM, Red Hat, Microsoft, O’Reilly, Pearson, Udacity, Coursera, datascience.com, and DataCamp. Workshops and Talks around the world for organizations including NASA, PayPal, PyCon, Strata, O’Reilly Software Architecture Conference, and FooCamp. As an SME on Machine Learning for AWS, he helped created the AWS Machine Learning certification.

He has worked in roles ranging from CTO, General Manager, Consulting CTO, Consulting Chief Data Scientist, and Cloud Architect. This experience has been with a wide variety of companies: ABC, Caltech, Sony Imageworks, Disney Feature Animation, Weta Digital, AT&T, Turner Studios, and Linden Lab, and industries: Television, Film, Games, SaaS, Sports, Telecommunications. He has film credits in many major motion pictures for technical work, including Avatar, Spider-Man 3, and Superman Returns.

He has been responsible for shipping many new products at multiple companies that generated millions of dollars of revenue and had a global scale. Currently, he is consulting startups and other companies, on Machine Learning, Cloud Architecture, and CTO level consulting as the founder of Pragmatic A.I. Labs.

Customer reviews

3.4 out of 5 stars
3.4 out of 5
33 global ratings
Look no further, guide to get going with Cloud AI
5 Stars
Look no further, guide to get going with Cloud AI
Great read! This eaxactly what I was looking for. If you need a get started guide to could AI, look no further.Although most of the information you can research yourself online (as some commenters have noted) getting this book will save you DAYS if not WEEKS of clicking arround and googling how to do something and messing up. For that alone is worth 10x the price for me.The explanations are clear and very easy to follow, at least for me. I have not stopped referring back to the book since I got it. It is a lot easier than going down the google rabbit hole, for what I need to do at work. You do need some experience coding and messing around with AI to get some of the concepts.Although the information may seem scattered, it is not actually, there are no transitions between explaining different platforms. That’s all! . Which is great! I don’t want to be reading fluff, just tell me what I need to know to get going.Overall I’m happy to have this resource.
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Top reviews from the United States

Rigo Roche
5.0 out of 5 stars Look no further, guide to get going with Cloud AI
Reviewed in the United States on October 26, 2018
Verified Purchase
Great read! This eaxactly what I was looking for. If you need a get started guide to could AI, look no further.
Although most of the information you can research yourself online (as some commenters have noted) getting this book will save you DAYS if not WEEKS of clicking arround and googling how to do something and messing up. For that alone is worth 10x the price for me.
The explanations are clear and very easy to follow, at least for me. I have not stopped referring back to the book since I got it. It is a lot easier than going down the google rabbit hole, for what I need to do at work. You do need some experience coding and messing around with AI to get some of the concepts.
Although the information may seem scattered, it is not actually, there are no transitions between explaining different platforms. That’s all! . Which is great! I don’t want to be reading fluff, just tell me what I need to know to get going.
Overall I’m happy to have this resource.
Customer image
Rigo Roche
5.0 out of 5 stars Look no further, guide to get going with Cloud AI
Reviewed in the United States on October 26, 2018
Great read! This eaxactly what I was looking for. If you need a get started guide to could AI, look no further.
Although most of the information you can research yourself online (as some commenters have noted) getting this book will save you DAYS if not WEEKS of clicking arround and googling how to do something and messing up. For that alone is worth 10x the price for me.
The explanations are clear and very easy to follow, at least for me. I have not stopped referring back to the book since I got it. It is a lot easier than going down the google rabbit hole, for what I need to do at work. You do need some experience coding and messing around with AI to get some of the concepts.
Although the information may seem scattered, it is not actually, there are no transitions between explaining different platforms. That’s all! . Which is great! I don’t want to be reading fluff, just tell me what I need to know to get going.
Overall I’m happy to have this resource.
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3 people found this helpful
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Chan Chee Siong
1.0 out of 5 stars Not worth the money
Reviewed in the United States on October 12, 2018
Verified Purchase
Read the first 35% of the book and nothing much you can take away from as the information is easily available freely on internet. The author is more interested to tell you to use Amazon and Google platform for your AI or machine learning and merely listing their products URL.

You could have easily visited Google and AWS website and read the user guides there without spending a dime
11 people found this helpful
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Wayne Blanchard
5.0 out of 5 stars good introduction to cloud architecture
Reviewed in the United States on October 17, 2018
Verified Purchase
Great introduction to AWS and GCP. A lot of explanations on all the tools that are available to work with both. Plus some good python code to use. Explains well how powerful Jupyter notebook is with some good examples. Ties AI, ML and cloud applications all together.
One person found this helpful
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Amazon Customer
5.0 out of 5 stars Just what I was looking for
Reviewed in the United States on October 12, 2018
Verified Purchase
Pragmatic AI hits at the intersection of cloud, Python programming and AI. This book will not help you earn your PHD in AI, but it will show you what it takes to get an AI workload into production using cutting edge cloud technology.
Customer image
Amazon Customer
5.0 out of 5 stars Just what I was looking for
Reviewed in the United States on October 12, 2018
Pragmatic AI hits at the intersection of cloud, Python programming and AI. This book will not help you earn your PHD in AI, but it will show you what it takes to get an AI workload into production using cutting edge cloud technology.
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2 people found this helpful
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Sasha
1.0 out of 5 stars Kind of AWS advertisement
Reviewed in the United States on October 12, 2018
Verified Purchase
Unstructured and chaotic information, useless diagrams, totally unreadable.
Pretty weak book dont match the cover name.
4 people found this helpful
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ZafdielDeGato
3.0 out of 5 stars Is it a mistake?
Reviewed in the United States on September 12, 2022
There are 2 hyphens there.
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ZafdielDeGato
3.0 out of 5 stars Is it a mistake?
Reviewed in the United States on September 12, 2022
There are 2 hyphens there.
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Reinaldo Maciel
4.0 out of 5 stars A good book
Reviewed in the United States on January 3, 2019
It really deliveries what it promises: how to apply A.I. to the real world in a productive way.
One person found this helpful
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Dave K.
5.0 out of 5 stars Timely and Topical Read
Reviewed in the United States on October 15, 2018
Verified Purchase
Enjoyed it from cover to cover. Great book for anyone looking for trends and pragmatic approaches to doing data science in the cloud. Will use as a reference as I build my toolkit!
One person found this helpful
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Top reviews from other countries

Shadab K.
1.0 out of 5 stars Not an introduction, waste of time and money
Reviewed in India on November 7, 2020
Verified Purchase
This book gave me a headache. The author just assumes you know everything already from makefile to docker to jenkins. This is no introduction.
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