Deep learning from the basics : Python and deep learning : theory and implementation /
THE TENSORFLOW WORKSHOP : a hands-on guide to building deep learning models from scratch using real-world datasets.
Ensemble Machine Learning Cookbook : Over 35 Practical Recipes to Explore Ensemble Machine Learning Techniques Using Python.
The the Deep Learning with Pytorch Workshop : Build Deep Neural Networks and Artificial Intelligence Applications with Pytorch.
ADVANCED DEEP LEARNING WITH TENSORFLOW 2 AND KERAS : APPLY DL, GANS, VAES, DEEP RL, UNSUPERVISED LEARNING, OBJECT DETECTION AND SEGMENTATION, AND MORE.
Python deep learning : next generation techniques to revolutionize computer vision, AI, speech and data analysis /
PyTorch Deep Learning Hands-On : Apply Modern AI Techniques with CNNs, RNNs, GANs, Reinforcement Learning, and More /
Getting Started with Python for the Internet of Things : Leverage the Full Potential of Python to Prototype and Build IoT Projects Using the Raspberry Pi.
Machine Learning for Time-Series with Python : Forecast, Predict, and Detect Anomalies with State-Of-the-art Machine Learning Methods.
Python : deeper insights into machine learning : leverage benefits of machine learning techniques using Python : a course in three modules.
The deep learning with Keras workshop : learn how to define and train neural network models with just a few lines of code /
MACHINE LEARNING USING TENSORFLOW COOKBOOK : over 60 recipes on machine learning using deep ... learning solutions from kaggle masters and google.
Python machine learning by example : easy-to-follow examples that get you up and running with machine learning /
Distributed machine learning with Python : accelerating model training and serving with distributed systems /
Python Robotics Projects : Build smart and collaborative robots using Python.
Deep learning with PyTorch : a practical approach to building neural network models using PyTorch /
Python deep learning : exploring deep learning techniques and neural network architectures with PyTorch, Keras, and TensorFlow /
Modern Computer Vision with Pytorch : Explore Deep Learning Concepts and Implement over 50 Real-World Image Applications.
CRAFTING TEST-DRIVEN SOFTWARE WITH PYTHON : write test suites that scale with your applications... needs and complexity, using python and pytest.
Natural language processing and computational linguistics : a practical guide to text analysis with Python, Gensim, spaCy, and Keras /
Mastering machine learning with R : advanced prediction, algorithms, and learning methods with R 3.x /
Advances in large margin classifiers /
Machine learning and artificial intelligence : proceedings of MLIS 2020 /
Artificial intelligence by example : develop machine intelligence from scratch using real artificial intelligence use cases /
Hands-on data science and Python machine learning : perform data mining and machine learning efficiently using Python and Spark /
Mastering machine learning algorithms : expert techniques to implement popular machine learning algorithms and fine-tune your models /
Machine learning with Go : implement regression, classification, clustering, time-series models, neural networks, and more using the Go programming language /
Python deep learning cookbook : over 75 practical recipes on neural network modeling, reinforcement learning, and transfer learning using Python /
Dynamic fuzzy machine learning /
Data Science with Python : Combine Python with Machine Learning Principles to Discover Hidden Patterns in Raw Data.
Engineering MLOps : rapidly build, test, and manage production-ready machine learning life cycles at scale /
Mastering Machine Learning Algorithms : Expert techniques for implementing popular machine learning algorithms, fine-tuning your models, and understanding how they work, 2nd Edition. /
Data analysis with Python : a modern approach /
Machine Learning Algorithms : Popular Algorithms for Data Science and Machine Learning, 2nd Edition.
Machine Learning Engineering with Python : Manage the Production Life Cycle of Machine Learning Models Using MLOps with Practical Examples.
Data Science for Business and Decision Making : an introductory Text for Students and Practitioners /
Machine learning in asset pricing /
IPython Interactive Computing and Visualization Cookbook.
Mastering Python for finance /
OpenCV with Python by example : build real-world computer vision applications and develop cool demos using OpenCV for Python /
Python 2.6 graphics cookbook : over 100 great recipes for creating and animating graphics using Python /
Learn Robotics Programming : Build and Control Autonomous Robots Using Raspberry Pi 3 and Python.
Mastering pandas : a complete guide to pandas, from installation to advanced data analysis techniques, 2nd Edition. /
FreeCAD [how-to] : solid modeling with the power of Python /
OpenCV 4 with Python blueprints become proficient in computer vision by designing advanced projects using OpenCV 4 with Python 3.8 /
Programming ArcGIS 10.1 with Python Cookbook.
Learning NumPy Array /
Mastering Python for finance : implement advanced state-of-the-art financial statistical applications using Python /
Artificial intelligence with Python : build real-world artificial intelligence applications with Python to intelligently interact with the world around you /
Machine Learning Automation with TPOT : Build, Validate, and Deploy Fully Automated Machine Learning Models with Python.