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- Introduction to Machine Learning with Python : A Guide for Data Scientists
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77142400
Introduction to Machine Learning with Python : A Guide for Data Scientists
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Item #:
77142400
ANG 99
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What Stands Out
Comprehensive Coverage
This guide offers a thorough exploration of machine learning concepts, making complex topics accessible for budding data scientists looking to build a solid foundation.
Hands-On Practice
Includes practical examples and Python code snippets that enable readers to implement machine learning algorithms, bridging the gap between theory and real-world application.
Beginner-Friendly Approach
Tailored for novices, this guide simplifies intricate topics in machine learning, ensuring even those with limited programming experience can confidently navigate Python and data science.
Product Details
| Book format | Paperback |
| Fiction/nonfiction | Non-Fiction |
| Genre | Computing & Internet |
| Publication date | October, 2016 |
| Pages | 398 |
| Reading level | Professional & Vocational |
| Subgenre | Languages |
| Series title | No Series |
| Edition | 1 |
| Publisher | O'Reilly Media |
| Original languages | English |
| Language | English |
| Educational level | General |
| Is collectible | N |
| Editor | Fu-Chan Wei |
| Binding type | Perfect Binding |
| Recording time | 0 min |
| Retail packaging | Single Piece |
| Assembled product dimensions (l x w x h) | 6.90 x 0.70 x 9.10 in (17.5 x 1.8 x 23.1 cm) |
| Assembled product weight | 1.3 lb (590 grams) |
| Bisac subject heading | Computers |
Who Should Buy?
-
Beginner Data Scientists
Individuals new to data science who seek a comprehensive guide to understanding machine learning concepts and Python implementation.
-
Self-learners
Individuals motivated to learn on their own, looking for structured content to grasp machine learning techniques effectively.
-
Python Programmers
Developers familiar with Python coding who want to transition into machine learning applications through practical examples.
-
Advanced Practitioners
Experienced data scientists may find the content too basic and not sufficiently challenging for their skill level.
Product Description
Introduction to Machine Learning with Python : A Guide for Data Scientists
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Pros
- Accessible for beginners
- Real-world examples provided
- Clear and concise explanations
- Practical coding exercises
- Excellent review of libraries
Cons
- Some topics could be more in-depth.
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Features & Benefits
- Learn practical ways to build machine learning solutions using Python
- Discover the fundamental concepts and applications of machine learning
- Understand the advantages and shortcomings of widely used machine learning algorithms
- Learn advanced methods for model evaluation and parameter tuning
- Explore the concept of pipelines for chaining models and encapsulating your workflow
- Get suggestions for improving your machine learning and data science skills
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