Item #:
189313626
Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow Textbook
Item #:
189313626
CHF 42
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What Stands Out
Comprehensive Coverage
This textbook provides an extensive overview of machine learning concepts, frameworks, and techniques. It integrates Scikit-Learn, Keras, and TensorFlow for a holistic understanding, making it suitable for both beginners and experienced practitioners.
Practical Approach
Hands-on exercises and real-world projects ensure that readers can apply learned techniques effectively. This practical approach bridges the gap between theory and application, empowering learners to build impactful machine learning solutions.
Up-to-Date Content
Updated with the latest trends and tools in machine learning, this textbook remains relevant in a fast-evolving field. Readers gain insights into current practices, enhancing their learning experience and professional relevance.
Product Details
| ISBN | 9781492032649 |
| Subject Area | Mathematics, Computers |
| Publication Name | Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow : Concepts, Tools, and Techniques to Build Intelligent Systems |
| Publisher | O'reilly Media, Incorporated |
| Item Length | 9.4 in (23.9 cm) |
| Subject | Intelligence (Ai) & Semantics, General, Data Processing, Computer Vision & Pattern Recognition |
| Publication Year | 2019 |
| Type | Textbook |
| Format | Trade Paperback |
| Language | Eng,Swa |
| Item Height | 1.4 in (3.6 cm) |
| Author | Aurélien Géron |
| Item Weight | 43.2 Oz (1224.72 grams) |
| Item Width | 7 in (17.8 cm) |
| Number of Pages | 848 Pages |
| Country of Origin | India |
Who Should Buy?
-
Aspiring Data Scientists
Ideal for individuals pursuing a career in data science, as it provides practical skills in machine learning.
-
Developers Moving to AI
Software developers looking to transition into artificial intelligence and machine learning will benefit from its clear explanations.
-
Self-learners
Great resource for self-learners who prefer hands-on projects and real-world applications of machine learning techniques.
-
Complete Beginners
Individuals with no prior programming or mathematical knowledge may struggle with the concepts explained in this textbook.
-
Advanced Practitioners
Experienced machine learning professionals might find the material too basic or lacking in advanced topics and techniques.
-
Theoretical Learners
Those preferring theoretical knowledge over hands-on application may not find this approach suitable or helpful.
Product Description
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Customer Questions & Answers
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Question:
Who is this book suitable for?
Answer: It is suitable for programmers and tech enthusiasts, both beginners and experienced. -
Question:
What topics does the book cover?
Answer: It covers topics from basic concepts to advanced techniques, including practical applications. -
Question:
What programming frameworks are utilized in this book?
Answer: The book utilizes powerful Python frameworks like Scikit-Learn and TensorFlow.
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Pros
- Clear and practical examples
- Comprehensive coverage of topics
- Great for beginners and experts
- Hands-on approach enhances learning
- Up-to-date with latest tools
Cons
- Some readers may want more advanced topics.
Product Price History
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Features & Benefits
- Master the art of machine learning with hands-on techniques and accessible knowledge.
- Comprehensive guide covering basics to advanced methodologies across 848 pages.
- Real-world applications make it ideal for both beginners and experienced programmers.
- Learn to build intelligent systems using Python frameworks like Scikit-Learn and TensorFlow.
- Gain confidence in implementing machine learning techniques such as neural networks and decision trees.
- Stay updated with the latest breakthroughs in deep learning and AI solutions.