Machine Learning in Python: Hands on Machine Learning with Python Tools, Concepts and Techniques, (Hardcover)
BZD 125
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Machine Learning is the most effective data analysis tool that can propel your career or business to great heights.
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- Are you excited about Artificial Intelligence and want to get started?Are you excited about Machine Learning and want to learn how to implement in Python? The book below is the answer. Given the large amounts of data we use everyday; whether it is in the web, supermarkets, social media etc. analysis of data has become integral to our daily life. The ability to do so effectively can propel your career or business to great heights. Machine Learning is the most effective data analysis tool. While it is a complex topic, it can be broken down into simpler steps, as show in this book. We are using Python, which is a great programming language for beginners.Python is a great language that is commonly used with Machine Learning. Python is used extensively in Mathematics, Gaming and Graphic Design. It is fast to develop and prototype. It is web capable, meaning that we can use Python to gather web data. It is adaptable, and has great community of users.Here's What's Included In This Book: What is Machine Learning? Why use Python? Regression Analysis using Python with an example Clustering Analysis using Python with an example Implementing an Artificial Neural Network Backpropagation 90 Day Plan to Learn and Implement Machine Learning Conclusion
| Book format | Hardcover |
| Fiction/nonfiction | Non-Fiction |
| Genre | Computing & Internet |
| Publication date | July, 2019 |
| Pages | 126 |
| Subgenre | Artificial Intelligence |
| Series title | No Series |
| Edition | 1 |
| Publisher | Bob Mather |
| Original languages | English |
| Language | English |
| Edu focus | Mathematics |
| Educational level | General |
| Is collectible | N |
| Binding type | Case Binding |
| Retail packaging | Single Piece |
| Assembled product dimensions (l x w x h) | 5.83 x 0.38 x 8.27 Inches (14.8 x 1 x 21 cm) |
| Assembled product weight | 0.67 lb (300 grams) |
| Bisac subject heading | Computers |
| Country of Origin | This item will be imported from US |
| What is in the box | Machine Learning in Python:... For more details, please check description/product details |
Who Should Buy?
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Aspiring Data Scientists
Ideal for those looking to build foundational skills in machine learning using Python frameworks and libraries.
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Intermediate Programmers
Beneficial for programmers with Python experience who want to apply their skills to machine learning applications.
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Learners Seeking Practicality
Great for individuals who prefer hands-on learning through practical examples and real-world applications of machine learning.
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Absolute Beginners
May be overwhelming for users with no prior programming or machine learning knowledge and experience.
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Advanced Practitioners
Not suited for experienced professionals seeking in-depth theoretical insights or advanced methodologies beyond basic concepts.
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Focused Theoreticians
Not ideal for those who prioritize theoretical studies of machine learning without a focus on practical implementation.
Product Description
Customer Questions & Answers
-
Question:
Is this book suitable for beginners?
Answer: Yes, the book is designed for beginners with easy-to-follow steps. -
Question:
What kind of topics does the book cover?
Answer: It covers machine learning concepts, Python usage, regression analysis, and artificial neural networks. -
Question:
Will I be able to implement what I learn?
Answer: Absolutely, the book includes practical examples and a 90-day implementation plan.
Bob Mather All Books Editorial Review
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BZD 125
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Features & Benefits
- Learn Machine Learning with a hands-on approach using Python.
- Ideal for beginners with step-by-step breakdowns of complex topics.
- Gain practical skills in data analysis, regression, and clustering.
- Includes a 90-day plan for learning and implementing Machine Learning.
- Explore the extensive uses of Python in various fields.
- Unlock career opportunities through effective data analysis.