10 Best Book Learning Machines In The Us - Black Friday 2024
Best Choice1
The MIT PressProbabilistic Machine Learning: Advanced Topics (Adaptive Computation and Machine Learning series)
9.9Exceptional
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Value for Money2
MIT Press20% OffMachine Learning: A Probabilistic Perspective (Adaptive Computation and Machine Learning series)
9.8Exceptional
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3
O'Reilly Media28% OffDesigning Machine Learning Systems: An Iterative Process for Production-Ready Applications
9.7Exceptional
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4
O'Reilly Media44% OffHands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems
Main highlights- Use scikit-learn to track an example ML project end to end
- Use TensorFlow and Keras to build and train neural nets for computer vision, natural language processing, generative models, and deep reinforcement learning
- Explore several models, including support vector machines, decision trees, random forests, and ensemble methods
- Exploit unsupervised learning techniques such as dimensionality reduction, clustering, and anomaly detection
- Dive into neural net architectures, including convolutional nets, recurrent nets, generative adversarial networks, autoencoders, diffusion models, and transformers
9.5Excellent
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5
MIT Press41% OffDeep Learning (Adaptive Computation and Machine Learning series)
Main highlights- Language Published: English
- It ensures you get the best usage for a longer period
- Binding: hardcover
9.4Excellent
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6
O'Reilly Media28% OffIntroduction to Machine Learning with Python: A Guide for Data Scientists
9.3Excellent
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7
Cambridge University PressMathematics for Machine Learning
9.0Excellent
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8
Packt Publishing28% OffInterpretable Machine Learning with Python: Build explainable, fair, and robust high-performance models with hands-on, real-world examples
8.9Very Good
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9
O'Reilly Media32% OffGenerative Deep Learning: Teaching Machines To Paint, Write, Compose, and Play
8.8Very Good
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10
O'Reilly Media43% OffMachine Learning Design Patterns: Solutions to Common Challenges in Data Preparation, Model Building, and MLOps
8.6Very Good
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