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Pro Machine Learning Algorithms by Ayyadevara Kishore (19 results)
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Paperback. Condition: Good. No Jacket. Former library book; Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less 1.51.
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Paperback or Softback. Condition: New. Pro Machine Learning Algorithms: A Hands-On Approach to Implementing Algorithms in Python and R 1.51. Book.
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Add to basketCondition: New. Brand New! Not Overstocks or Low Quality Book Club Editions! Direct From the Publisher! We're not a giant, faceless warehouse organization! We're a small town bookstore that loves books and loves it's customers! Buy from Lakeside Books!
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Pro Machine Learning Algorithms : A Hands-on Approach to Implementing Algorithms in Python and R
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Pro Machine Learning Algorithms : A Hands-on Approach to Implementing Algorithms in Python and R
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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US$ 68.66
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Pro Machine Learning Algorithms: A Hands-On Approach to Implementing Algorithms in Python and R
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Add to basketPaperback. Condition: Brand New. 372 pages. 10.00x7.00x1.00 inches. In Stock.
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Pro Machine Learning Algorithms
Published by Apress, Apress Jul 2018, 2018
ISBN 10: 1484235630 ISBN 13: 9781484235638
Language: English
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
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Add to basketTaschenbuch. Condition: Neu. Neuware -Bridge the gap between a high-level understanding of how an algorithm works and knowing the nuts and bolts to tune your models better. This book will give you the confidence and skills when developing all the major machine learning models. In Pro Machine Learning Algorithms, you will first develop the algorithm in Excel so that you get a practical understanding of all the levers that can be tuned in a model, before implementing the models in Python/R.APress in Springer Science + Business Media, Heidelberger Platz 3, 14197 Berlin 396 pp. Englisch.
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Pro Machine Learning Algorithms: A Hands-On Approach to Implementing Algorithms in Python and R
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
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US$ 80.77
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Add to basketPaperback / softback. Condition: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 816.
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Pro Machine Learning Algorithms
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
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US$ 84.43
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Add to basketTaschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Bridge the gap between a high-level understanding of how an algorithm works and knowing the nuts and bolts to tune your models better. This book will give you the confidence and skills when developing all the major machine learning models. In Pro Machine Learning Algorithms, you will first develop the algorithm in Excel so that youget a practical understanding ofall the levers that can be tuned in a model, before implementing the models in Python/R.You will cover all the major algorithms: supervised and unsupervised learning, which include linear/logistic regression; k-means clustering; PCA; recommender system; decision tree; random forest; GBM; and neural networks.You will also be exposed to the latest in deep learning through CNNs, RNNs, and word2vec for text mining. You will be learning not only the algorithms, but also the concepts of feature engineering to maximize the performance of a model.You will see the theory along with case studies, such assentiment classification, fraud detection, recommender systems, and image recognition,so that you get the best of both theory and practice for the vast majority of the machine learning algorithms used in industry. Along with learning the algorithms, you will also be exposed to running machine-learning models on all the major cloud service providers.You are expected to have minimal knowledge of statistics/software programming and by the end of this book you should be able to work on a machine learning project with confidence.What You Will LearnGet an in-depth understanding of all the major machine learning and deep learning algorithmsFully appreciate the pitfalls to avoid while building modelsImplement machine learning algorithms in the cloudFollow a hands-on approach through case studies for each algorithmGain the tricks of ensemble learning to build more accurate modelsDiscover the basics of programming in R/Python and the Keras framework for deep learningWho This Book Is ForBusiness analysts/ IT professionals who want to transition into data science roles. Data scientists who want to solidify their knowledge in machine learning. 396 pp. Englisch.
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US$ 68.41
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Add to basketKartoniert / Broschiert. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Exposes readers to running a large-scale model in a cloud environmentCovers all major machine learning algorithms with theory along with case studies including the vast majority of algorithms used in industry.
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US$ 89.70
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Add to basketTaschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Bridge the gap between a high-level understanding of how an algorithm works and knowing the nuts and bolts to tune your models better. This book will give you the confidence and skills when developing all the major machine learning models. In Pro Machine Learning Algorithms, you will first develop the algorithm in Excel so that youget a practical understanding ofall the levers that can be tuned in a model, before implementing the models in Python/R.You will cover all the major algorithms: supervised and unsupervised learning, which include linear/logistic regression; k-means clustering; PCA; recommender system; decision tree; random forest; GBM; and neural networks.You will also be exposed to the latest in deep learning through CNNs, RNNs, and word2vec for text mining. You will be learning not only the algorithms, but also the concepts of feature engineering to maximize the performance of a model.You will see the theory along with case studies, such assentiment classification, fraud detection, recommender systems, and image recognition,so that you get the best of both theory and practice for the vast majority of the machine learning algorithms used in industry. Along with learning the algorithms, you will also be exposed to running machine-learning models on all the major cloud service providers.You are expected to have minimal knowledge of statistics/software programming and by the end of this book you should be able to work on a machine learning project with confidence.What You Will LearnGet an in-depth understanding of all the major machine learning and deep learning algorithmsFully appreciate the pitfalls to avoid while building modelsImplement machine learning algorithms in the cloudFollow a hands-on approach through case studies for each algorithmGain the tricks of ensemble learning to build more accurate modelsDiscover the basics of programming in R/Python and the Keras framework for deep learningWho This Book Is ForBusiness analysts/ IT professionals who want to transition into data science roles. Data scientists who want to solidify their knowledge in machine learning.
