Machine Learning with Spark and Python : Essential Techniques for Predictive Analytics / Michael Bowles
データ種別 | 電子ブック |
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版 | 2nd ed. |
出版者 | Newark : Wiley |
出版年 | 2019 |
大きさ | 1 online resource (371 pages) |
著者標目 | *Bowles, Michael |
書誌詳細を非表示
一般注記 | Front Matter -- The Two Essential Algorithms for Making Predictions -- Understand the Problem by Understanding the Data -- Predictive Model Building -- Penalized Linear Regression -- Building Predictive Models Using Penalized Linear Methods -- Ensemble Methods -- Building Ensemble Models with Python Print version record Legal Deposit Only available on premises controlled by the deposit library and to one user at any one time The Legal Deposit Libraries (Non-Print Works) Regulations (UK) WlAbNL Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force WlAbNL 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 John Wiley and Sons Wiley Online Library: Complete oBooks HTTP:URL=https://onlinelibrary.wiley.com/doi/book/10.1002/9781119562023 |
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件 名 | LCSH:Machine learning CSHF:Apprentissage automatique FREE:Machine learning |
分 類 | LCC:Q325.5 DC23:006.3/1 |
書誌ID | EB00004509 |
ISBN | 9781119562023 |
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