Machine learning and deep learning using Python and Tensorflow / Venkat Reddy Konasani, Shailendra Kadre.
By: Konasani, Venkat Reddy [author.].
Contributor(s): Kadre, Shailendra [author.].
Publisher: New York : McGraw-Hill, ©2021Copyright date: ©2021Description: 533 p: illustrations ; 27 cm.Content type: text Media type: unmediated Carrier type: volumeISBN: 9781260462296; 1260462293.Subject(s): TensorFlow | Machine learning | Neural networks (Computer science) | Python (Computer program language) | Artificial intelligence | Artificial intelligence | Machine learning | Neural networks (Computer science) | Python (Computer program language)Genre/Form: Print books.| Current location | Call number | Status | Date due | Barcode | Item holds |
|---|---|---|---|---|---|
| On Shelf | Q325.5 .K57 2021 (Browse shelf) | Available | AU00000000018401 |
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| Q325.5 .K545 2022 Math for deep learning : what you need to know to understand neural networks / | Q325.5 .K55 2021 Practical deep learning : a Python-based introduction / | Q325.5 .K568 2018 Machine learning : a concise introduction / | Q325.5 .K57 2021 Machine learning and deep learning using Python and Tensorflow / | Q325.5 .K76 2020 Deep learning illustrated : a visual, interactive guide to artificial intelligence / | Q325.5 .L35 2020 Machine learning design patterns : solutions to common challenges in data preparation, model building, and MLOps / | Q325.5 .L39 2021 Machine Learning for Time Series Forecasting With Python / <br> |
Includes bibliographical references and index.
Introduction to machine learning and deep learning -- Basics of Python programming and statistics -- 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.
"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."--