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AI and Machine Learning for Coders: A Programmer's Guide to Artificial Intelligence
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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
Detalles de producto
- 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?
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Aspiring Data Scientists
Ideal for individuals looking to transition into data science, providing foundational knowledge of AI and machine learning.
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Software Developers
Beneficial for programmers who want to incorporate AI techniques into their software applications for enhanced functionality.
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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.
DESCRIPCIÓN DEL PRODUCTO
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
AI and Machine Learning for Coders: A Programmer's Guide to Artificial Intelligence offers a comprehensive introduction to artificial intelligence concepts tailored for programmers. Published by O'Reilly Media, this 390-page book provides practical insights and hands-on examples to enhance your coding skills in the realm of AI. The first edition, released on November 10, 2020, is an ideal read for those with a reading age of one year and up. Reviewers appreciate its clear explanations and actionable advice, making complex topics accessible. This book serves as a valuable resource for developers looking to integrate machine learning into their projects effectively.
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ventajas
- Comprehensive introduction to AI for programmers
- Clear examples make complex topics accessible
- Well-structured for easy understanding
- Suitable for a wide reading age
- Published by a reputable source
Contras
- Might be too technical for absolute beginners
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GTQ 374
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características y beneficios
- 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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