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- Python Machine Learning, 1st Edition
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Artigo n.º:
980944
Python Machine Learning, 1st Edition
88% of respondents would recommend this to a friend
Artigo n.º:
980944
STD 1039695
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Unlock deeper insights into Machine Learning with this vital guide to cutting-edge predictive analytics.
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O que se Destaca
Practical Examples
This edition includes hands-on projects that demystify complex concepts, making machine learning accessible for beginners and practical for professionals seeking real-world applications.
Comprehensive Coverage
It offers an extensive overview of essential algorithms and tools used in Python machine learning, ensuring that readers gain a solid foundation and versatility in various data-driven scenarios.
Clear Explanations
The book breaks down intricate topics into digestible explanations, catering to readers of all levels, which enhances learning retention and boosts confidence in applying machine learning techniques.
Detalhes do produto
- Unlock deeper insights into Machine Leaning with this vital guide to cutting-edge predictive analyticsAbout This BookLeverage Python's most powerful open-source libraries for deep learning, data wrangling, and data visualizationLearn effective strategies and best practices to improve and optimize machine learning systems and algorithmsAsk and answer tough questions of your data with robust statistical models, built for a range of datasetsWho This Book Is ForIf you want to find out how to use Python to start answering critical questions of your data, pick up Python Machine Learning whether you want to get started from scratch or want to extend your data science knowledge, this is an essential and unmissable resource.What You Will LearnExplore how to use different machine learning models to ask different questions of your dataLearn how to build neural networks using Keras and TheanoFind out how to write clean and elegant Python code that will optimize the strength of your algorithmsDiscover how to embed your machine learning model in a web application for increased accessibilityPredict continuous target outcomes using regression analysisUncover hidden patterns and structures in data with clusteringOrganize data using effective pre-processing techniquesGet to grips with sentiment analysis to delve deeper into textual and social media dataIn DetailMachine learning and predictive analytics are transforming the way businesses and other organizations operate. Being able to understand trends and patterns in complex data is critical to success, becoming one of the key strategies for unlocking growth in a challenging contemporary marketplace. Python can help you deliver key insights into your data its unique capabilities as a language let you build sophisticated algorithms and statistical models that can reveal new perspectives and answer key questions that are vital for success.Python Machine Learning gives you access to the world of predictive analytics and demonstrates why Python is one of the world's leading data science languages. If you want to ask better questions of data, or need to improve and extend the capabilities of your machine learning systems, this practical data science book is invaluable. Covering a wide range of powerful Python libraries, including scikit-learn, Theano, and Keras, and featuring guidance and tips on everything from sentiment analysis to neural networks, you'll soon be able to answer some of the most important questions facing you and your organization.Style and approachPython Machine Learning connects the fundamental theoretical principles behind machine learning to their practical application in a way that focuses you on asking and answering the right questions. It walks you through the key elements of Python and its powerful machine learning libraries, while demonstrating how to get to grips with a range of statistical models.
| Publisher | Packt Publishing |
| Publication date | September 1, 2015 |
| Language | English |
| Print length | 354 pages |
| ISBN-10 | 9781783555130 |
| ISBN-13 | 978-1783555130 |
| Item Weight | 1.71 pounds (780 grams) |
| Dimensions | 7.5 x 1.03 x 9.25 inches (19.1 x 2.6 x 23.5 cm) |
Quem Deverá Comprar?
-
Beginner Programmers
Ideal for those new to programming, offering foundational knowledge in Python and machine learning concepts.
-
Data Science Students
Perfect for students pursuing data science, providing practical examples to apply theoretical knowledge effectively.
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Self-learners
A great resource for self-taught individuals seeking to enhance their skills in machine learning and Python.
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Advanced Practitioners
Not suitable for experienced machine learning professionals looking for advanced techniques or in-depth research topics.
DESCRIÇÃO DO PRODUTO
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Perguntas e respostas do cliente
-
Pergunta:
Who is this book for?
Resposta: It's for anyone looking to start or enhance their knowledge in Python and machine learning. -
Pergunta:
What will I learn from this book?
Resposta: You will learn to use various machine learning models, build neural networks, and perform data analysis techniques. -
Pergunta:
Why should I choose Python for machine learning?
Resposta: Python offers unique capabilities and powerful libraries that allow for sophisticated statistical modeling and data insights.
Neural Networks Editorial Review
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Prós
- Comprehensive coverage of topics
- Easy to understand explanations
- Practical examples and exercises
- Great for beginners and experts
Contras
- Some examples may be outdated.
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STD 1039695
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Os nossos principais Parceiros Logísticos
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Recursos e benefícios
- Leverage powerful Python libraries for deep learning and data visualization.
- Learn effective strategies to optimize machine learning systems.
- Explore different models to ask critical questions of your data.
- Build neural networks and write clean, elegant Python code.
- Discover clustering and regression analysis for predictive outcomes.
- Gain insights into text data with sentiment analysis techniques.
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