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219644708
Grokking Machine Learning
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Item #:
219644708
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- It's time to dispel the myth that machine learning is difficult. Grokking Machine Learning teaches you how to apply ML to your projects using only standard Python code and high school-level math. No specialist knowledge is required to tackle the hands-on exercises using readily available machine learning tools!In Grokking Machine Learning, expert machine learning engineer Luis Serrano introduces the most valuable ML techniques and teaches you how to make them work for you. Practical examples illustrate each new concept to ensure you’re grokking as you go. You’ll build models for spam detection, language analysis, and image recognition as you lock in each carefully-selected skill. Packed with easy-to-followPython-based exercises and mini-projects, this book sets you on the path to becoming a machine learning expert.Key Features· Different types of machine learning, including supervised and unsupervised learning· Algorithms for simplifying, classifying, and splitting data· Machine learning packages and tools· Hands-on exercises with fully-explained Python code samplesFor readers with intermediate programming knowledge in Python or a similar language.About the technology Machine learning is a collection of mathematically-based techniques and algorithms that enable computers to identify patterns and generate predictions from data. This revolutionary data analysis approach is behind everything from recommendation systems to self-driving cars, and is transforming industries from finance to art.Luis G. Serrano has worked as the Head of Content for Artificial Intelligence at Udacity and as a Machine Learning Engineer at Google, where he worked on the YouTube recommendations system. He holds a PhD in mathematics from the University of Michigan, a Bachelor and Masters from the University of Waterloo, and worked as a postdoctoral researcher at the University of Quebec at Montreal. He shares his machine learning expertise on a YouTube channel with over 2 million views and 35 thousand subscribers, and is a frequent speaker at artificial intelligence and data science conferences.
| Publisher | Manning Publications |
| Publication date | 14 Dec. 2021 |
| Edition | 1st |
| Language | English |
| Print length | 350 pages |
| ISBN-10 | 1617295914 |
| ISBN-13 | 978-1617295911 |
| Dimensions | 18.75 x 3.25 x 23.5 cm |
Product Description
Grokking Machine Learning
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Product Buying Guide
Grokking Machine Learning is an essential guide for individuals interested in diving into the world of machine learning. It is tailored to provide a comprehensive understanding of machine learning concepts, making it an excellent choice for beginners as well as enthusiasts looking to expand their knowledge.
Product Specifications
- Author: Louis Serrano
- Publisher: Manning Publications
- Paperback: 350 pages
- Language: English
- ISBN-10: 1617293709
- ISBN-13: 978-1617293702
Key Features
- Clear and accessible explanations of complex machine learning concepts
- Real-world examples and scenarios to aid understanding
- Engaging visuals and diagrams for improved comprehension
- Step-by-step walkthroughs of algorithms and their implementation
- Practical exercises and quizzes for self-assessment
Usage Scenarios
- Self-learning machine learning concepts at one's own pace
- Supplementing academic studies in the field of machine learning
- Applying machine learning concepts in professional projects
- Gaining a foundational understanding of machine learning for career advancement
Usage Scenarios
- Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow by Aurélien Géron
- Python Machine Learning by Sebastian Raschka
Some User Review
- The book was incredibly helpful for a beginner like me. The author's approach to explaining complex concepts really made the learning experience enjoyable.
- The practical examples presented in the book were invaluable. They provided a clear understanding of how machine learning algorithms are applied in real-world scenarios.
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Buying Considerations
- Consider personal learning preferences - visual learners may benefit from the engaging visuals in Grokking Machine Learning.
- Review the specific topics covered to ensure alignment with individual learning goals.
- Compare prices and available discounts from reputable vendors to make an informed purchase decision.
Conclusion
In conclusion, Grokking Machine Learning is a top choice for individuals eager to comprehend the fundamental principles of machine learning in an engaging and intuitive manner.
View LessGrokking Machine Learning is an essential guide for individuals interested in diving into the world of machine learning. It is tailored to provide a comprehensive understanding of machine learning concepts, making it an excellent choice for beginners as well as enthusiasts looking to expand their knowledge. Continue Reading
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English edition Luis Serrano Format: Paperback Editorial Review
Grokking Machine Learning is a comprehensive guide published by Manning Publications, offering 350 pages of insight into the intricacies of machine learning. The first edition, released on December 14, 2021, is available in English and intended to facilitate a deep understanding of machine learning concepts through engaging illustrations. As readers progress, they will find that the book effectively breaks down complex theories into digestible explanations, making it accessible even for beginners. Its clear structure, coupled with a range of practical examples, enhances the learning experience and has garnered positive feedback from its audience.
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Pros
- Engaging illustrations make complex concepts easier to understand
- Clear explanations suitable for beginners
- Well-structured content enhances learning
- Practical examples provide real-world applications
- A comprehensive guide to machine learning
Cons
- Length may be overwhelming for some readers
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Features & Benefits
- Learn Supervised algorithms
- Data cleaning & simplification techniques
- Study Neural networks & complex dataset methods.
- No special knowledge required
- Packed with Python-based exercises & projects.
- Free eBook included with a print book purchase.
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