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Architects of Intelligence : The truth about AI from the people building it

Exploring deepfakes : get hands-on with generative AI for face replacement

Building Computer Vision Projects with OpenCV 4 and C++ : Implement complex computer vision algorithms and explore deep learning and face detection

Machine Learning with Go Quick Start Guide : Hands-on techniques for building supervised and unsupervised machine learning workflows

Machine Learning Algorithms : Popular algorithms for data science and machine learning, 2nd Edition

Python: Advanced Predictive Analytics : Gain practical insights by exploiting data in your business to build advanced predictive modeling applications

Hands-on Python deep learning for web : a comprehensive guide to integrating neural network architectures to bring smart automation for web

Artificial Intelligence By Example : Develop machine intelligence from scratch using real artificial intelligence use cases

Java Deep Learning Essentials

OpenCV 4 Computer Vision Application Programming Cookbook : Build complex computer vision applications with OpenCV and C++, 4th Edition

Deep learning with fastai cookbook : leverage the easy-to-use fastai framework to unlock the power of deep learning

Learn TensorFlow Enterprise : Build, manage, and scale machine learning workloads seamlessly using Google's TensorFlow Enterprise

Comet for data science : enhance your ability to manage and optimize the lifecycle of your data science project

Hands-On Deep Learning for IoT : Train neural network models to develop intelligent IoT applications

Deep Reinforcement Learning with Python : Master classic RL, deep RL, distributional RL, inverse RL, and more with OpenAI Gym and TensorFlow, 2nd Edition

Splunk Operational Intelligence Cookbook -

Deep learning for beginners : a beginner's guide to getting up and running with deep learning from scratch using Python

Advanced Machine Learning with R : Tackle data analytics and machine learning challenges and build complex applications with R 3.5

Deep learning with R for beginners : design neural network models in R 3.5 using TensorFlow, Keras, and MXNet

Hands-on big data analytics with PySpark : analyze large datasets and discover techniques for testing, immunizing, and parallelizing Spark jobs

Machine Learning with R Quick Start Guide : A beginner's guide to implementing machine learning techniques from scratch using R 3.5

Live longer with AI : how artificial intelligence is helping us extend our healthspan and live better too

Applied deep learning and computer vision for self-driving cars : build autonomous vehicles using deep neural networks and behavior-cloning techniques

Quantum Computing and Blockchain in Business : Exploring the applications, challenges, and collision of quantum computing and blockchain

What's new in TensorFlow 2.0 : use the new and improved features of TensorFlow to enhance machine learning and deep learning

Hands-On Neuroevolution with Python : Build high-performing artificial neural network architectures using neuroevolution-based algorithms

Hands-On One-shot Learning with Python : Learn to implement fast and accurate deep learning models with fewer training samples using PyTorch

Artificial intelligence for IoT cookbook : over 70 recipes for building AI solutions for smart homes, industrial IoT, and smart cities

Tensorflow 2 reinforcement learning cookbook : over 50 recipes to help you build, train, and deploy learning agents for real-world applications

The deep learning with PyTorch workshop : build deep neural networks and artificial intelligence applications with PyTorch

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