Python :: real world machine learning : learn to solve challenging data science problems by building powerful machine learning models using Python /
Learn to solve challenging data science problems by building powerful machine learning models using Python About This Book Understand which algorithms to use in a given context with the help of this exciting recipe-based guide This practical tutorial tackles real-world computing problems through a r...
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| Hauptverfasser: | , , , , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Birmingham, UK :
Packt Publishing,
2016.
|
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Zusammenfassung: | Learn to solve challenging data science problems by building powerful machine learning models using Python About This Book Understand which algorithms to use in a given context with the help of this exciting recipe-based guide This practical tutorial tackles real-world computing problems through a rigorous and effective approach Build state-of-the-art models and develop personalized recommendations to perform machine learning at scale Who This Book Is For This Learning Path is for Python programmers who are looking to use machine learning algorithms to create real-world applications. It is ideal for Python professionals who want to work with large and complex datasets and Python developers and analysts or data scientists who are looking to add to their existing skills by accessing some of the most powerful recent trends in data science. Experience with Python, Jupyter Notebooks, and command-line execution together with a good level of mathematical knowledge to understand the concepts is expected. Machine learning basic knowledge is also expected. What You Will Learn Use predictive modeling and apply it to real-world problems Understand how to perform market segmentation using unsupervised learning Apply your new-found skills to solve real problems, through clearly-explained code for every technique and test Compete with top data scientists by gaining a practical and theoretical understanding of cutting-edge deep learning algorithms Increase predictive accuracy with deep learning and scalable data-handling techniques Work with modern state-of-the-art large-scale machine learning techniques Learn to use Python code to implement a range of machine learning algorithms and techniques In Detail Machine learning is increasingly spreading in the modern data-driven world. It is used extensively across many fields such as search engines, robotics, self-driving cars, and more. Machine learning is transforming the way we understand and interact with the world around us. In the first module, Python Machine Learning Cookbook, you will learn how to perform various machine learning tasks using a wide variety of machine learning algorithms to solve real-world problems and use Python to implement these algorithms. The second module, Advanced Machine Learning with Python, is designed to take you on a guided tour of the most relevant and powerful machine learning techniques and you'll acquire a broad set of powerful skills in the area of feature selection and fea... |
| Beschreibung: | 1 online resource (1 volume) : illustrations |
| Bibliographie: | Includes bibliographical references and index. |
| ISBN: | 9781787120679 1787120678 |
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| 520 | |a Learn to solve challenging data science problems by building powerful machine learning models using Python About This Book Understand which algorithms to use in a given context with the help of this exciting recipe-based guide This practical tutorial tackles real-world computing problems through a rigorous and effective approach Build state-of-the-art models and develop personalized recommendations to perform machine learning at scale Who This Book Is For This Learning Path is for Python programmers who are looking to use machine learning algorithms to create real-world applications. It is ideal for Python professionals who want to work with large and complex datasets and Python developers and analysts or data scientists who are looking to add to their existing skills by accessing some of the most powerful recent trends in data science. Experience with Python, Jupyter Notebooks, and command-line execution together with a good level of mathematical knowledge to understand the concepts is expected. Machine learning basic knowledge is also expected. What You Will Learn Use predictive modeling and apply it to real-world problems Understand how to perform market segmentation using unsupervised learning Apply your new-found skills to solve real problems, through clearly-explained code for every technique and test Compete with top data scientists by gaining a practical and theoretical understanding of cutting-edge deep learning algorithms Increase predictive accuracy with deep learning and scalable data-handling techniques Work with modern state-of-the-art large-scale machine learning techniques Learn to use Python code to implement a range of machine learning algorithms and techniques In Detail Machine learning is increasingly spreading in the modern data-driven world. It is used extensively across many fields such as search engines, robotics, self-driving cars, and more. Machine learning is transforming the way we understand and interact with the world around us. In the first module, Python Machine Learning Cookbook, you will learn how to perform various machine learning tasks using a wide variety of machine learning algorithms to solve real-world problems and use Python to implement these algorithms. The second module, Advanced Machine Learning with Python, is designed to take you on a guided tour of the most relevant and powerful machine learning techniques and you'll acquire a broad set of powerful skills in the area of feature selection and fea... | ||
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| spelling | Joshi, Prateek, author. Python : real world machine learning : learn to solve challenging data science problems by building powerful machine learning models using Python / Prateek Joshi, John Hearty, Bastiaan Sjardin, Luca Massaron, Alberto Boschetti. Real world machine learning : learn to solve challenging data science problems by building powerful machine learning models using Python Learn to solve challenging data science problems by building powerful machine learning models using Python Birmingham, UK : Packt Publishing, 2016. 1 online resource (1 volume) : illustrations text txt rdacontent computer c rdamedia online resource cr rdacarrier Online resource; title from PDF title page (EBSCO, viewed January 23, 2018) Includes bibliographical references and index. Learn to solve challenging data science problems by building powerful machine learning models using Python About This Book Understand which algorithms to use in a given context with the help of this exciting recipe-based guide This practical tutorial tackles real-world computing problems through a rigorous and effective approach Build state-of-the-art models and develop personalized recommendations to perform machine learning at scale Who This Book Is For This Learning Path is for Python programmers who are looking to use machine learning algorithms to create real-world applications. It is ideal for Python professionals who want to work with large and complex datasets and Python developers and analysts or data scientists who are looking to add to their existing skills by accessing some of the most powerful recent trends in data science. Experience with Python, Jupyter Notebooks, and command-line execution together with a good level of mathematical knowledge to understand the concepts is expected. Machine learning basic knowledge is also expected. What You Will Learn Use predictive modeling and apply it to real-world problems Understand how to perform market segmentation using unsupervised learning Apply your new-found skills to solve real problems, through clearly-explained code for every technique and test Compete with top data scientists by gaining a practical and theoretical understanding of cutting-edge deep learning algorithms Increase predictive accuracy with deep learning and scalable data-handling techniques Work with modern state-of-the-art large-scale machine learning techniques Learn to use Python code to implement a range of machine learning algorithms and techniques In Detail Machine learning is increasingly spreading in the modern data-driven world. It is used extensively across many fields such as search engines, robotics, self-driving cars, and more. Machine learning is transforming the way we understand and interact with the world around us. In the first module, Python Machine Learning Cookbook, you will learn how to perform various machine learning tasks using a wide variety of machine learning algorithms to solve real-world problems and use Python to implement these algorithms. The second module, Advanced Machine Learning with Python, is designed to take you on a guided tour of the most relevant and powerful machine learning techniques and you'll acquire a broad set of powerful skills in the area of feature selection and fea... Python (Computer program language) http://id.loc.gov/authorities/subjects/sh96008834 Machine learning. http://id.loc.gov/authorities/subjects/sh85079324 Python (Langage de programmation) Apprentissage automatique. COMPUTERS / Programming Languages / Python. bisacsh Machine learning fast Python (Computer program language) fast Hearty, John, author. Sjardin, Bastiaan, author. Massaron, Luca, author. Boschetti, Alberto, author. has work: Python (Text) https://id.oclc.org/worldcat/entity/E39PD3xwP4vKXKKHGRykGdBrfV https://id.oclc.org/worldcat/ontology/hasWork FWS01 ZDB-4-EBA FWS_PDA_EBA https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=1421554 Volltext |
| spellingShingle | Joshi, Prateek Hearty, John Sjardin, Bastiaan Massaron, Luca Boschetti, Alberto Python : real world machine learning : learn to solve challenging data science problems by building powerful machine learning models using Python / Python (Computer program language) http://id.loc.gov/authorities/subjects/sh96008834 Machine learning. http://id.loc.gov/authorities/subjects/sh85079324 Python (Langage de programmation) Apprentissage automatique. COMPUTERS / Programming Languages / Python. bisacsh Machine learning fast Python (Computer program language) fast |
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| title | Python : real world machine learning : learn to solve challenging data science problems by building powerful machine learning models using Python / |
| title_alt | Real world machine learning : learn to solve challenging data science problems by building powerful machine learning models using Python Learn to solve challenging data science problems by building powerful machine learning models using Python |
| title_auth | Python : real world machine learning : learn to solve challenging data science problems by building powerful machine learning models using Python / |
| title_exact_search | Python : real world machine learning : learn to solve challenging data science problems by building powerful machine learning models using Python / |
| title_full | Python : real world machine learning : learn to solve challenging data science problems by building powerful machine learning models using Python / Prateek Joshi, John Hearty, Bastiaan Sjardin, Luca Massaron, Alberto Boschetti. |
| title_fullStr | Python : real world machine learning : learn to solve challenging data science problems by building powerful machine learning models using Python / Prateek Joshi, John Hearty, Bastiaan Sjardin, Luca Massaron, Alberto Boschetti. |
| title_full_unstemmed | Python : real world machine learning : learn to solve challenging data science problems by building powerful machine learning models using Python / Prateek Joshi, John Hearty, Bastiaan Sjardin, Luca Massaron, Alberto Boschetti. |
| title_short | Python : |
| title_sort | python real world machine learning learn to solve challenging data science problems by building powerful machine learning models using python |
| title_sub | real world machine learning : learn to solve challenging data science problems by building powerful machine learning models using Python / |
| topic | Python (Computer program language) http://id.loc.gov/authorities/subjects/sh96008834 Machine learning. http://id.loc.gov/authorities/subjects/sh85079324 Python (Langage de programmation) Apprentissage automatique. COMPUTERS / Programming Languages / Python. bisacsh Machine learning fast Python (Computer program language) fast |
| topic_facet | Python (Computer program language) Machine learning. Python (Langage de programmation) Apprentissage automatique. COMPUTERS / Programming Languages / Python. Machine learning |
| url | https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=1421554 |
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