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Machine Learning and Deep Learning Using Python and TensorFlow
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Machine Learning and Deep Learning Using Python and TensorFlow

Book Details

Format Paperback / Softback
ISBN-10 1260462293
ISBN-13 9781260462296
Publisher McGraw-Hill Education
Imprint McGraw-Hill Education
Country of Manufacture GB
Country of Publication GB
Publication Date Mar 15th, 2021
Print length 560 Pages
Weight 1,180 grams
Dimensions 26.20 x 21.10 x 3.30 cms
Product Classification: Electrical engineering
Ksh 17,650.00
Werezi Extended Catalogue 0 in stock

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Publisher's Note: Products purchased from Third Party sellers are not guaranteed by the publisher for quality, authenticity, or access to any online entitlements included with the product. Understand the principles and practices of machine learning and deep learning This hands-on guide lays out machine learning and deep learning techniques and technologies in a style that is approachable, using just the basic math required. Written by a pair of experts in the field, Machine Learning and Deep Learning Using Python and TensorFlow contains case studies in several industries, including banking, insurance, e-commerce, retail, and healthcare. The book shows how to utilize machine learning and deep learning functions in today’s smart devices and apps. You will get download links for datasets, code, and sample projects referred to in the text. Coverage includes:Machine learning and deep learning conceptsPython programming and statistics fundamentalsRegression and logistic regressionDecision treesModel selection and cross-validationCluster analysisRandom forests and boostingArtificial neural networksTensorFlow and KerasDeep learning hyperparametersConvolutional neural networksRecurrent neural networks and long short-term memory

Publisher''s Note: Products purchased from Third Party sellers are not guaranteed by the publisher for quality, authenticity, or access to any online entitlements included with the product.

Understand the principles and practices of machine learning and deep learning 

This hands-on guide lays out machine learning and deep learning techniques and technologies in a style that is approachable, using just the basic math required. Written by a pair of experts in the field, Machine Learning and Deep Learning Using Python and TensorFlow contains case studies in several industries, including banking, insurance, e-commerce, retail, and healthcare. The book shows how to utilize machine learning and deep learning functions in today’s smart devices and apps. You will get download links for datasets, code, and sample projects referred to in the text.

Coverage includes:

  • Machine learning and deep learning concepts
  • Python programming and statistics fundamentals
  • Regression and logistic regression
  • Decision trees
  • Model selection and cross-validation
  • Cluster analysis
  • Random forests and boosting
  • Artificial neural networks
  • TensorFlow and Keras
  • Deep learning hyperparameters
  • Convolutional neural networks
  • Recurrent neural networks and long short-term memory





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