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Grokking Machine Learning
89% of respondents would recommend this to a friend
LSL 1682
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Discover valuable machine learning techniques you can understand and apply using just high-school math.
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Product Details
| Country of Origin | This item will be imported from US |
| Item Weight | 1.3 lbs (590 grams) |
| What is in the box | Grokking Machine Learning... For more details, please check description/product details |
Who Should Buy?
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Beginners in ML
Ideal for those new to machine learning looking for a comprehensive, beginner-friendly introduction to the subject.
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Self-learners
Perfect for individuals eager to learn at their own pace with practical examples and guided exercises.
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Job Seekers
Beneficial for job seekers aiming to enhance their resumes with machine learning knowledge and skills.
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Advanced Practitioners
Not suitable for experienced ML professionals looking for advanced theories, research, or complex algorithms.
Product Description
Grokking Machine Learning
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Neural Networks Editorial Review
"Grokking Machine Learning" is a book that has received mixed reviews from customers. While some praise the book for its clear writing style and beginner-friendly approach, others have pointed out that the book's focus on the turicreate package, which is only valid with Python up to 3.8, makes it unsuitable for those using Python 3.9 or later. The book contains 410 pages, with turicreate mentioned until page 171 and scikit learn only starting at page 265. The information provided in the book is said to look good based on the first two chapters, but it may not be the best option for those specifically looking for information on scikit learn. Overall, the book is highly recommended for anyone interested in machine learning, especially novice learners.
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Pros
- Clear writing style
- Beginner-friendly approach
- Good information provided in the first two chapters
- Highly recommended for novice learners
Cons
- Focus on turicreate package, which is only valid with Python up to 3.8
Product Price History
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LSL 1682
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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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