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In den WarenkorbKartoniert / Broschiert. Zustand: New. MICHAEL BOWLES teaches machine learning at UC Berkeley, University of New Haven and Hacker Dojo in Silicon Valley, consults on machine learning projects, and is involved in a number of startups in such areas as semi conductor inspection, drug design and opt.
Verlag: John Wiley and Sons Inc, US, 2019
ISBN 10: 1119561930 ISBN 13: 9781119561934
Sprache: Englisch
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In den WarenkorbPaperback. Zustand: New. Machine Learning with Spark and Python Essential Techniques for Predictive Analytics, Second Edition simplifies ML for practical uses by focusing on two key algorithms. This new second edition improves with the addition of Spark-a ML framework from the Apache foundation. By implementing Spark, machine learning students can easily process much large data sets and call the spark algorithms using ordinary Python code. Machine Learning with Spark and Python focuses on two algorithm families (linear methods and ensemble methods) that effectively predict outcomes. This type of problem covers many use cases such as what ad to place on a web page, predicting prices in securities markets, or detecting credit card fraud. The focus on two families gives enough room for full descriptions of the mechanisms at work in the algorithms. Then the code examples serve to illustrate the workings of the machinery with specific hackable code.
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In den WarenkorbPaperback or Softback. Zustand: New. Machine Learning with Spark and Python: Essential Techniques for Predictive Analytics 1. Book.
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Verlag: John Wiley and Sons Inc, US, 2019
ISBN 10: 1119561930 ISBN 13: 9781119561934
Sprache: Englisch
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In den WarenkorbPaperback. Zustand: New. Machine Learning with Spark and Python Essential Techniques for Predictive Analytics, Second Edition simplifies ML for practical uses by focusing on two key algorithms. This new second edition improves with the addition of Spark-a ML framework from the Apache foundation. By implementing Spark, machine learning students can easily process much large data sets and call the spark algorithms using ordinary Python code. Machine Learning with Spark and Python focuses on two algorithm families (linear methods and ensemble methods) that effectively predict outcomes. This type of problem covers many use cases such as what ad to place on a web page, predicting prices in securities markets, or detecting credit card fraud. The focus on two families gives enough room for full descriptions of the mechanisms at work in the algorithms. Then the code examples serve to illustrate the workings of the machinery with specific hackable code.
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In den WarenkorbTaschenbuch. Zustand: Neu. Neuware - Machine Learning with Spark and Python Essential Techniques for Predictive Analytics, Second Edition simplifies ML for practical uses by focusing on two key algorithms. This new second edition improves with the addition of Spark--a ML framework from the Apache foundation. By implementing Spark, machine learning students can easily process much large data sets and call the spark algorithms using ordinary Python code.Machine Learning with Spark and Python focuses on two algorithm families (linear methods and ensemble methods) that effectively predict outcomes. This type of problem covers many use cases such as what ad to place on a web page, predicting prices in securities markets, or detecting credit card fraud. The focus on two families gives enough room for full descriptions of the mechanisms at work in the algorithms. Then the code examples serve to illustrate the workings of the machinery with specific hackable code.
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Verlag: John Wiley & Sons 2019-12-05, 2019
ISBN 10: 1119561930 ISBN 13: 9781119561934
Sprache: Englisch
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Verlag: John Wiley & Sons Inc, New York, 2019
ISBN 10: 1119561930 ISBN 13: 9781119561934
Sprache: Englisch
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In den WarenkorbPaperback. Zustand: new. Paperback. Machine Learning with Spark and Python Essential Techniques for Predictive Analytics, Second Edition simplifies ML for practical uses by focusing on two key algorithms. This new second edition improves with the addition of Sparka ML framework from the Apache foundation. By implementing Spark, machine learning students can easily process much large data sets and call the spark algorithms using ordinary Python code. Machine Learning with Spark and Python focuses on two algorithm families (linear methods and ensemble methods) that effectively predict outcomes. This type of problem covers many use cases such as what ad to place on a web page, predicting prices in securities markets, or detecting credit card fraud. The focus on two families gives enough room for full descriptions of the mechanisms at work in the algorithms. Then the code examples serve to illustrate the workings of the machinery with specific hackable code. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Verlag: John Wiley & Sons Inc, New York, 2019
ISBN 10: 1119561930 ISBN 13: 9781119561934
Sprache: Englisch
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In den WarenkorbPaperback. Zustand: new. Paperback. Machine Learning with Spark and Python Essential Techniques for Predictive Analytics, Second Edition simplifies ML for practical uses by focusing on two key algorithms. This new second edition improves with the addition of Sparka ML framework from the Apache foundation. By implementing Spark, machine learning students can easily process much large data sets and call the spark algorithms using ordinary Python code. Machine Learning with Spark and Python focuses on two algorithm families (linear methods and ensemble methods) that effectively predict outcomes. This type of problem covers many use cases such as what ad to place on a web page, predicting prices in securities markets, or detecting credit card fraud. The focus on two families gives enough room for full descriptions of the mechanisms at work in the algorithms. Then the code examples serve to illustrate the workings of the machinery with specific hackable code. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
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Verlag: John Wiley & Sons Inc, New York, 2019
ISBN 10: 1119561930 ISBN 13: 9781119561934
Sprache: Englisch
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In den WarenkorbPaperback. Zustand: new. Paperback. Machine Learning with Spark and Python Essential Techniques for Predictive Analytics, Second Edition simplifies ML for practical uses by focusing on two key algorithms. This new second edition improves with the addition of Sparka ML framework from the Apache foundation. By implementing Spark, machine learning students can easily process much large data sets and call the spark algorithms using ordinary Python code. Machine Learning with Spark and Python focuses on two algorithm families (linear methods and ensemble methods) that effectively predict outcomes. This type of problem covers many use cases such as what ad to place on a web page, predicting prices in securities markets, or detecting credit card fraud. The focus on two families gives enough room for full descriptions of the mechanisms at work in the algorithms. Then the code examples serve to illustrate the workings of the machinery with specific hackable code. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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In den Warenkorbpaperback. Zustand: New. Paperback.Pub Date:2022-03-01 Pages:314 Language:Chinese Publisher:People's Posts and Telecommunications Publishing House This book focuses on two types of core algorithms that can effectively predict results. including penalized linear regression methods and ensemble methods. Example details to show how to use these methods for different problems. The book is divided into 7 chapters. mainly about the selection of algorithms. the main points when building a prediction model. etc. and combine.
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In den Warenkorbpaperback. Zustand: New. Paperback.Pub Date:2022-03-01 Pages:314 Language:Chinese Publisher:People's Posts and Telecommunications Publishing House This book focuses on two types of core algorithms that can effectively predict results. including penalized linear regression methods and ensemble methods. Example details to show how to use these methods for different problems. The book is divided into 7 chapters. mainly about the selection of algorithms. the main points when building a prediction model. etc. and combine.