Pages: 560,
Specialty: Electrical Engineering,
Publisher: McGraw-Hill,
Publication Year: 2021,
Cover: Hardback,
Dimensions: 215.9x266.7x31.75mm

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 show more