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 /
IPython Interactive Computing and Visualization Cookbook.
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 /
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.
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 /
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 /
Dynamic fuzzy machine learning /
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. /
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 /