Spark for data science : analyze your data and delve deep into the world of machine learning with the latest Spark version, 2.0 /

Data analysis with Python : a modern approach /

Hands-on unsupervised learning with Python : implement machine learning and deep learning models using Scikit-Learn, TensorFlow, and more /

MACHINE LEARNING USING TENSORFLOW COOKBOOK : over 60 recipes on machine learning using deep ... learning solutions from kaggle masters and google.

Building machine learning systems with Python : explore machine learning and deep learning techniques for building intelligent systems using scikit-learn and TensorFlow /

TensorFlow 1.x deep learning cookbook : over 90 unique recipes to solve artificial-intelligence driven problems with Python /

Apache Spark 2.x for Java developers : explore data at scale using the Java APIs of Apache Spark 2.x /

Learning Spark SQL : architect streaming analytics and machine learning solutions /

Python deep learning : exploring deep learning techniques and neural network architectures with PyTorch, Keras, and TensorFlow /

INTRODUCTION TO MACHINE LEARNING WITH PYTHON

Essential PySpark for data analytics : a beginner's guide to harnessing the power and ease of PySpark 3.0 /

THE TENSORFLOW WORKSHOP : a hands-on guide to building deep learning models from scratch using real-world datasets.

Deep learning with PyTorch : a practical approach to building neural network models using PyTorch /

Python 3 and data analytics : pocket primer /

Data Science with Python : Combine Python with Machine Learning Principles to Discover Hidden Patterns in Raw Data.

Artificial intelligence by example : develop machine intelligence from scratch using real artificial intelligence use cases /

Transformers for natural language processing : build, train, and fine-tune deep neural network architectures for NLP with Python, PyTorch, TensorFlow, BERT, and GPT-3 /

ADVANCED DEEP LEARNING WITH TENSORFLOW 2 AND KERAS : APPLY DL, GANS, VAES, DEEP RL, UNSUPERVISED LEARNING, OBJECT DETECTION AND SEGMENTATION, AND MORE.

Hands-on recommendation systems with Python : start building powerful and personalized, recommendation engines with Python /

Artificial intelligence with Python : build real-world artificial intelligence applications with Python to intelligently interact with the world around you /

Natural language processing and computational linguistics : a practical guide to text analysis with Python, Gensim, spaCy, and Keras /

Python deep learning : exploring deep learning techniques and neural network architectures with PyTorch, Keras, and TensorFlow /

IPython Interactive Computing and Visualization Cookbook.

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 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.

Python deep learning cookbook : over 75 practical recipes on neural network modeling, reinforcement learning, and transfer learning using 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 /

Data Science with Python : Combine Python with Machine Learning Principles to Discover Hidden Patterns in Raw Data.

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 /

Python : deeper insights into machine learning : leverage benefits of machine learning techniques using Python : a course in three modules.

Artificial intelligence with Python : build real-world artificial intelligence applications with Python to intelligently interact with the world around you /

Data analysis with Python : a modern approach /

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 /

Python deep learning : exploring deep learning techniques and neural network architectures with PyTorch, Keras, and TensorFlow /

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. /

Python : deeper insights into machine learning : leverage benefits of machine learning techniques using Python : a course in three modules.

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 /

Hands-on data science and Python machine learning : perform data mining and machine learning efficiently using Python and Spark /