Introduction to Machine Learning with Python: A Guide for Data Scientists
This book will teach you practical ways to build your own machine learning solutions, even as a beginner.
Introduction to Machine Learning with Python: A Guide for Data Scientists
Item #: 193172969

Introduction to Machine Learning with Python: A Guide for Data Scientists

Item #: 193172969

€ 69

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This book will teach you practical ways to build your own machine learning solutions, even as a beginner.
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What Stands Out

Comprehensive Guide
This book provides a thorough introduction to machine learning concepts, making it ideal for both beginners and experienced data scientists seeking practical insights and real-world applications using Python.
Hands-On Approach
The text emphasizes practical implementations with code examples, allowing readers to apply machine learning techniques immediately, enhancing understanding and skills through hands-on experience.
Broad Audience
Designed for a wide range of readers, from students to professionals, it serves as an essential resource for anyone interested in harnessing python for data science and machine learning projects.

Product Details

Shop Introduction to Machine Learning with Python: A Guide for Data Scientists online at a best price in Slovakia. 1449369413
  • Introduction to Machine Learning with Python: A Guide for Data Scientists 1st Edition
  • By O'Reilly, a brand known for sharing the knowledge of experts
  • Comprehensive guide to machine learning for data scientists
  • Provides the necessary skills and understanding for success
  • Inspires companies and individuals to innovate and excel
  • Helps customers build the innovations that propel the world forward
Yayu0131ncu0131O'Reilly Media
Yayu0131nlanma Tarihi15 Kasu0131m 2016
Basku01311.
Dilu0130ngilizce
Basku0131 Uzunluu011fu392 sayfa
ISBN-101449369413
ISBN-13978-1449369415
Boyutlar17.53 x 1.78 x 23.11 cm

Who Should Buy?

Suitable For
  • Aspiring Data Scientists

    Ideal for beginners wanting practical skills in machine learning using Python through clear examples and hands-on exercises.

  • Python Programmers

    Great for those familiar with Python who wish to expand their knowledge into machine learning concepts and applications.

  • Academic Researchers

    Suitable for researchers looking for a foundational text on machine learning to complement their theoretical knowledge with practical coding.

Not Suitable For
  • Complete Beginners

    Not ideal for users without any programming experience, as it assumes prior knowledge of Python syntax and basic concepts.

Product Description

Introduction to Machine Learning with Python: A Guide for Data Scientists

About This Item

Product Description: Unlock the power of machine learning with "Introduction to Machine Learning with Python: A Guide for Data Scientists (1st Edition)". Designed specifically for aspiring data scientists, this comprehensive guide serves as a valuable resource to master the essential concepts and techniques of machine learning using Python. Whether you are a beginner or an experienced professional in the field of data science, this book is packed with valuable insights and practical examples to enhance your understanding of machine learning algorithms, models, and techniques. With a focus on Python for data science, you'll learn how to leverage its powerful libraries such as NumPy, Pandas, and Scikit-learn to analyze and manipulate data efficiently. "Introduction to Machine Learning with Python" covers a wide range of topics including data analysis, data visualization, predictive analytics, big data analytics, and artificial intelligence.

You'll gain a deeper understanding of key concepts such as deep learning, natural language processing, reinforcement learning, supervised and unsupervised learning, classification algorithms, regression analysis, and more. Harness the full potential of machine learning by exploring advanced concepts including feature engineering, model evaluation, cross-validation, dimensionality reduction, clustering algorithms, neural networks, support vector machines, random forests, decision trees, ensemble learning, anomaly detection, time series analysis, recommendation systems, sentiment analysis, and data cleaning. Written by industry experts, this 1st edition guide is an invaluable resource for data scientists who want to stay ahead in the rapidly evolving field of machine learning. Maximize your career opportunities and develop your skills to solve complex data challenges with confidence. Take your first step towards becoming a proficient data scientist with "Introduction to Machine Learning with Python: A Guide for Data Scientists (1st Edition)". Order your copy today and embark on a transformative journey into the world of machine learning and Python for data science.

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