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Item #:
37162050
AI and Machine Learning for Coders: A Programmer's Guide to Artificial Intelligence
89% of respondents would recommend this to a friend
Item #:
37162050
AED 172
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A hands-on, code-first approach to help you build confidence while you learn key topics
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What Stands Out
Accessible Learning
Designed specifically for programmers, this book simplifies complex AI concepts, enabling coders to grasp essential principles without prior AI experience.
Practical Applications
Focuses on real-world coding examples, empowering users to integrate AI tools effectively in their projects and improve problem-solving capabilities.
Comprehensive Resources
Provides a wealth of resources, including code snippets and exercises, to enhance learning and foster hands-on experience in machine learning.
Product Details
- Designed for programmers looking to transition into AI specialization
- Hands-on, code-first approach to build confidence while learning key topics
- Covers common machine learning scenarios: computer vision, NLP, and sequence modeling
- Practical lessons with code samples, avoiding complex math
- Includes TensorFlow skills desired by employers
- Teaches embedding models in Android, iOS, and serving models in web and cloud with TensorFlow Serving
| Publisher | O'Reilly Media |
| Publication date | November 10, 2020 |
| Edition | 1st |
| Language | English |
| Print length | 390 pages |
| ISBN-10 | 1492078190 |
| ISBN-13 | 978-1492078197 |
| Item Weight | 2.31 pounds (1.05 kg) |
| Reading age | 1 year and up |
| Dimensions | 7 x 1.25 x 9 inches (17.8 x 3.2 x 22.9 cm) |
Who Should Buy?
-
Aspiring Data Scientists
Ideal for individuals looking to transition into data science, providing foundational knowledge of AI and machine learning.
-
Software Developers
Beneficial for programmers who want to incorporate AI techniques into their software applications for enhanced functionality.
-
Tech Enthusiasts
Great for hobbyists interested in emerging technologies, offering hands-on projects to ignite curiosity in AI.
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Complete Beginners
Not suitable for those with no programming experience, as it assumes prior coding knowledge and familiarity.
Product Description
AI and Machine Learning for Coders: A Programmer's Guide to Artificial Intelligence
About This Item
Introducing "AI and Machine Learning For Coders: A Programmer's Guide to Artificial Intelligence Paperback – Large Print, 16 Oct. 2020" Are you a programmer looking to dive into the fascinating world of artificial intelligence and machine learning? Look no further! "AI and Machine Learning For Coders" is the ultimate guide to empower you with the knowledge and skills needed to excel in this exciting field. This comprehensive book is specifically designed for programmers like you who are eager to understand the inner workings of AI and machine learning. Whether you're a beginner or an experienced coder, this guide is packed with valuable insights and practical examples that will help you master the concepts and applications of AI in no time. With its large print format, this paperback edition ensures optimal readability, making it easy for you to follow along and grasp complex concepts.
This means you can focus on learning without any unnecessary eye strain or fatigue. Inside the pages of this book, you will find a systematic and step-by-step approach to understanding the fundamentals of AI and machine learning. From foundational concepts to advanced techniques, you'll discover how to develop intelligent systems that can analyze data, make predictions, and improve their performance over time. Key Topics Covered: - The Basics of AI and Machine Learning - Essential Algorithms and Data Structures - Supervised and Unsupervised Learning - Neural Networks and Deep Learning - Natural Language Processing - Computer Vision and Image Recognition - Reinforcement Learning - Ethical Considerations in AI Designed as a programmer's guide, this book goes beyond just theory. It offers practical examples, real-world case studies, and hands-on exercises that allow you to apply your newfound knowledge to practical scenarios.
This approach ensures that you not only understand the concepts but also gain the necessary skills to implement AI and machine learning techniques in your own projects. Stay ahead of the curve and unlock the potential of AI and machine learning in your coding journey. Order your copy of "AI and Machine Learning For Coders: A Programmer's Guide to Artificial Intelligence" today and take your programming skills to new heights.
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Intelligence & Semantics Editorial Review
The book "AI and Machine Learning for Coders: A Programmer's Guide to Artificial Intelligence 1st Edition" by Laurence Moroney provides practical and understandable explanations of coding machine learning into different environments using TensorFlow. The author gives good starter discussion on ML techniques and examples of neural networks that are intuitive. However, some customers reported misaligned sample codes with those in the GitHub repository, suggesting that the codes may not be properly tested. The last chapter on ethics and federated learning felt short, and some difficult to understand topics were not explained in-depth. Nevertheless, some customers praised the book as being practical and directly applicable to real-world problems, with examples that might directly solve problems one may be contemplating using TensorFlow for. Others commended the author for explaining tough concepts in an easy-to-understand way, and the absence of math in the book. Some customers recommend the book in combination with Laurence's videos on YouTube to build a solid foundation in deep learning.
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Pros
- Provides practical and understandable explanations
- Good starter discussion on ML techniques
- Examples of neural networks are intuitive
- Helpful code samples
- Practical and directly applicable to real-world problems
- Good "cookbook" for both using TensorFlow and deploying TensorFlow models to alternate/resource-Constrained devices
- Author explains tough concepts in an easy-to-understand way
- Math is almost absent in the book
Cons
- Some sample codes misalign with those in the GitHub repository
Product Price History
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Features & Benefits
- Learn AI and Machine Learning for Coders from scratch
- Practical lessons with direct code implementation
- Get a comprehensive knowledge of computer vision, NLP, and sequence modeling
- Build models with TensorFlow and deploy them on various platforms
- A beginner-friendly guide without advanced math requirements
- Ideal for programmers looking for a career move in AI
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