Ai And Machine Learning For Coders: A Programmer's Guide To Artificial Inte...
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| Book Title | Ai And Machine Learning For Coders: A Programmer's Guide To ... |
| ISBN | 9781492078197 |
| Subject Area | Computers |
| Publication Name | Ai and Machine Learning for Coders : a Programmer's Guide to Artificial Intelligence |
| Publisher | O'reilly Media, Incorporated |
| Item Length | 9.1 in (23.11 cm) |
| Subject | Programming / General, Machine Theory, Information Theory, Intelligence (Ai) & Semantics, Natural Language Processing |
| Publication Year | 2020 |
| Type | Textbook |
| Format | Trade Paperback |
| Language | English |
| Item Height | 0.8 in (2.03 cm) |
| Author | Laurence Moroney |
| Item Weight | 23.1 Oz (654.89 grams) |
| Item Width | 7.3 in (18.54 cm) |
| Number of Pages | 300 Pages |
Who Should Buy?
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Aspiring Data Scientists
Ideal for those looking to deepen their understanding of AI and machine learning through practical, hands-on coding examples.
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Professional Developers
Perfect for programmers wanting to expand their skill set with AI techniques relevant in today's tech-driven job market.
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Tech Students
Beneficial for students in computer science or related fields seeking a practical introduction to AI concepts and applications.
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Absolute Beginners
Not suitable for individuals with no coding experience, as a foundational knowledge of programming is assumed.
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Editorial Review
Ai And Machine Learning For Coders: A Programmer's Guide To Artificial Intelligence by Laurence Moroney delves into the intricacies of AI and machine learning, offering a robust foundation for programmers. This textbook, published by O'reilly Media in 2020, spans 300 pages and covers essential topics such as natural language processing and machine theory, making it an invaluable resource for those in the computer science field. The structured approach allows readers to grasp complex concepts easily while working through practical coding examples. This makes it particularly appealing for aspiring machine learning practitioners and those seeking to enhance their programming skills with AI.
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Pros
- Comprehensive coverage of AI and machine learning concepts
- Includes practical coding examples
- Suitable for programmers of all skill levels
- Published by a reputable publisher
- Well-structured and easy to follow
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