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Advanced Deep Learning with Python: Design and implement advanced next-generation AI solutions using TensorFlow and PyTorch

The Autonomous Enterprise: Powered by AI

Hands-on neural networks with TensorFlow 2.0: train, model and deploy the neural networks into your systems using the power of TensorFlow 2.0

The Autonomous Enterprise: Powered by AI

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Mobile Deep Learning Projects: 8 Project Guides to Help You Work Through End-to-End Neural Network Projects on Cross-Platform Apps

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Deep learning with MXNet cookbook: deep dive into a variety of recipes to build, train, and deploy scalable AI models on Apache MXNet

Not exactly: in praise of vagueness

Tensorflow Machine Learning Projects: Build 13 Real-world Projects With Advanced Numerical Computations Using the Python Ecosystem

Applied Deep Learning and Computer Vision for Self-Driving Cars: Build autonomous vehicles using deep neural networks and behavior-cloning techniques

Hands-On Gradient Boosting with XGBoost and scikit-learn: Perform accessible machine learning and extreme gradient boosting with Python

Hands-On SAS for Data Analysis: A practical guide to performing effective queries, data visualization, and reporting techniques

Python reinforcement learning: solve complex real-world problems by mastering reinforcement learning algorithms using OpenAI Gym and TensorFlow

Hands-On Generative Adversarial Networks with PyTorch 1.x: Implement next-generation neural networks to build powerful GAN models using Python

Hands-on Neural Network Programming With C#: Add Powerful Neural Network Capabilities to Your C# Enterprise Applications

Unlocking the Secrets of Prompt Engineering: Master the art of creative language generation to accelerate your journey from novice to pro

Deep Learning Essentials: Your hands-on guide to the fundamentals of deep learning and neural network modeling

Keras Deep Learning Cookbook: Over 30 recipes for implementing deep neural networks in Python

Hands-On Reinforcement Learning for Games: Implementing self-learning agents in games using artificial intelligence techniques

Not exactly: in praise of vagueness

Interpretable Machine Learning With Python: Build Explainable, Fair, and Robust High-Performance Models With Hands-on, Real-World Examples

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Deep Learning By Example: A hands-on guide to implementing advanced machine learning algorithms and neural networks

Algorithmic Short Selling with Python: Refine your algorithmic trading edge, consistently generate investment ideas, and build a robust long/short product

Python: Advanced Guide to Artificial Intelligence: Expert machine learning systems and intelligent agents using Python

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