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160137517
Machine Learning with Python: Machine Learning with Python: Advanced Guide in Machine Learning with Python (Paperback)
Item #:
160137517
MYR 194
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What Stands Out
Comprehensive Coverage
This guide offers an in-depth exploration of advanced machine learning techniques, ensuring readers gain a thorough understanding of concepts and applications in real-world scenarios.
Practical Examples
Includes numerous practical examples and hands-on projects that enable readers to apply their knowledge, fostering better retention and understanding of complex machine learning algorithms.
Python Focused
Tailored specifically for Python users, this book leverages popular libraries, providing readers with relevant tools and frameworks needed to develop cutting-edge machine learning applications.
Maklumat produk
- Learning is a crucial factor in intelligence. The realization of intelligent systems by computers, which are not programmed but trained, is the goal of Artificial Intelligence. Machine learning deals with the necessary methods and algorithms to provide artificial intelligence. These formulate different learning objectives, address diverse application areas, and make different demands on existing data.Anyone who wants to intelligently use more substantial amounts of data to generate added value from them needs an overview of machine learning. On the other hand, a deeper algorithmic understanding is required to estimate effort and to increase success rates through adjustments. The aim of the book is, therefore, to make learners fit for machine learning (theoretical and practical). We will work with Python and related libraries offering open-source and state-of-the-art implementations. Also, we look at aspects of machine learning in the cloud with concrete examples.The Advanced Machine Learning with Python teaches the formalization of learning problems, methods for dimensionality reduction and input engineering as well as ensemble methods. Participants will be familiar with the Python Machine Learning tools following the training.Machine learning, as part of artificial intelligence, is about using the right features to construct the right models for solving a specific task. Models are nothing more than the output of algorithms applied to the data.We learn which algorithms exist for which tasks and how we can use them with Scikit-learn in Python. We'll go through advanced aspects, such as scalability of solutions and the combination of models, as well as discussing deep learning, currently the hottest topic in machine learning.Machine learning doesn't work for any particular industry; instead, it works in virtually all of them in some way. We have aimed the further education module at all those who are already analyzing data or would like to do more in the future and would like to acquire more competences. If you want to understand how Python can help answer critical questions about your data, you've come to the right place. Whether you are a beginner or want to deepen your knowledge in the field of data science, this book is an indispensable source of information and well worth the time it will take to read. Now is your chance to advance your knowledge of machine learning with the use of Python. What are you waiting for? Get started now!
| Book format | Paperback |
| Edition | Standard Edition |
| Skill level | Advanced, Beginner |
| Pages | 230 |
| Language | English |
| Brand | Paige Jacobs |
| Author | Paige Jacobs |
| Genre | Computing & Internet |
| Bisac subject heading | Computers |
| Series title | Machine Learning with Python |
| Number in series | 3 |
| Dimensions | 9.00 x 6.00 x 1.50 in (22.9 x 15.2 x 3.8 cm) |
| Age group | Adult |
| Original languages | English |
Who Should Buy?
-
Intermediate Learners
Ideal for those who have basic knowledge and want to deepen their understanding of machine learning concepts.
-
Python Developers
Great for programmers familiar with Python, looking to implement machine learning libraries effectively.
-
Data Scientists
Suitable for data professionals aiming to enhance their analytical skills and improve their data modeling techniques.
-
Beginners
Not suitable for complete novices as it expects foundational knowledge in programming and machine learning principles.
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Paige Jacobs All Manuals & Guides Editorial Review
Machine Learning with Python: Advanced Guide in Machine Learning with Python (Paperback) by Paige Jacobs is a compelling read for both advanced and beginner learners eager to delve into the world of machine learning. This 230-page standard edition unravels complex concepts in an approachable manner, making it suitable for a wide audience. Readers have noted the clarity in explanations and valuable insights throughout the book. Jacobs covers a variety of topics essential for understanding modern machine learning applications, ensuring that it serves as a reliable resource in the field of computing and internet technology.
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Kongsikan pandangan anda dengan pelanggan lain
Kebaikan
- Comprehensive coverage of machine learning topics
- Suitable for both beginners and advanced learners
- Clear explanations enhance understanding
- Standard paperback format for easy reading
- Well-structured content and organization
Keburukan
- May be too technical for some absolute beginners
Product Price History
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MYR 194
Pesan sekarang dan dapatkannya lebih kurang pada Selasa, Oktober 20
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Ciri & Faedah
- Master machine learning concepts with Python and its libraries.
- Learn to intelligently use large datasets to generate value.
- Gain both theoretical and practical skills in machine learning.
- Explore advanced topics such as dimensionality reduction and ensemble methods.
- Suitable for beginners and those looking to enhance their data science skills.
- Prepare for real-world applications across various industries.
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