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Pragmatic AI: An Introduction to Cloud-Based Machine Learning (Addison Wesley Data & Analytics)
82% of respondents would recommend this to a friend
MDL 749
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What Stands Out
Product Details
| Publisher | Addison-Wesley Professional |
| Publication date | August 22, 2018 |
| Edition | 1st |
| Language | English |
| Print length | 256 pages |
| ISBN-10 | 0134863860 |
| ISBN-13 | 978-0134863863 |
| Item Weight | 7.4 ounces (209.79 grams) |
| Dimensions | 6.93 x 0.62 x 9.06 inches (17.6 x 1.6 x 23 cm) |
Who Should Buy?
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Beginner Data Scientists
Ideal for newcomers to machine learning seeking a foundational understanding of cloud-based AI techniques and applications.
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Technical Managers
Helps managers grasp machine learning concepts, enabling informed decisions in collaboration with data science teams.
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IT Professionals
Great for IT staff looking to implement AI solutions in cloud environments and enhance their technical skill set.
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Experienced Practitioners
Advanced data scientists may find the content too basic and lacking in depth for their expertise.
Product Description
Pragmatic AI: An Introduction to Cloud-Based Machine Learning (Addison Wesley Data & Analytics)
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Intelligence & Semantics Editorial Review
Pragmatic AI: An Introduction to Cloud-Based Machine Learning (Addison Wesley Data & Analytics) offers a practical overview suited for those interested in AI and cloud technologies. Readers find the book particularly helpful as it combines essential tools from AWS and GCP with clear explanations and practical Python code. It serves as a solid starting point for individuals with some coding experience who want to dive into AI workloads using cloud technology. The book is structured to save you time by concentrating on actionable insights, making it a valuable resource for newcomers to the field. The content may seem scattered at times, but many appreciate the lack of fluff and unnecessary transitions, allowing them to focus on crucial information.
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Pros
- Practical guide for beginners in cloud AI
- Clear explanations and easy to follow
- Combines AWS and GCP tools effectively
- Includes useful Python code examples
- Great resource for building a toolkit
Cons
- Some information available freely online
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