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Machine Learning and Deep Learning Using Python and TensorFlow
Inglês
278 b
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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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