Data Science with Python : Combine Python with Machine Learning Principles to Discover Hidden Patterns in Raw Data.
Python deep learning cookbook : over 75 practical recipes on neural network modeling, reinforcement learning, and transfer learning using Python /
Python machine learning by example : easy-to-follow examples that get you up and running with machine learning /
Python machine learning : machine learning and deep learning with Python, scikit-learn, and TensorFlow /
Python 3 for machine learning /
Python machine learning;machine learning and deep learning with python, scikit-learn, and tensorflow 2, 3rd edition
Distributed machine learning with Python : accelerating model training and serving with distributed systems /
Machine Learning Engineering with Python : Manage the Production Life Cycle of Machine Learning Models Using MLOps with Practical Examples.
Building Machine Learning Systems with Python.
Python : deeper insights into machine learning : leverage benefits of machine learning techniques using Python : a course in three modules.
Hands-on unsupervised learning with Python : implement machine learning and deep learning models using Scikit-Learn, TensorFlow, and more /
Data analysis with Python : a modern approach /
Machine Learning for Time-Series with Python : Forecast, Predict, and Detect Anomalies with State-Of-the-art Machine Learning Methods.
Python deep learning : next generation techniques to revolutionize computer vision, AI, speech and data analysis /
Python natural language processing : explore NLP with machine learning and deep learning techniques /
INTRODUCTION TO MACHINE LEARNING WITH PYTHON
Machine Learning Automation with TPOT : Build, Validate, and Deploy Fully Automated Machine Learning Models with Python.
Deep learning from the basics : Python and deep learning : theory and implementation /
Practical data science with Python : learn tools and techniques from hands-on examples to extract insights from data /
Energy and analytics BIG DATA and building technology integration /
Machine learning with Go : implement regression, classification, clustering, time-series models, neural networks, and more using the Go programming language /
Statistics for data science : leverage the power of statistics for data analysis, classification, regression, machine learning, and neural networks /
The billion dollar byte : turn big data into good profits, the datapreneur® way /
Transforming healthcare with big data and AI /
Big data and democracy /
Data Science for Business and Decision Making : an introductory Text for Students and Practitioners /
Mastering Predictive Analytics with Scikit-Learn and TensorFlow : Implement Machine Learning Techniques to Build Advanced Predictive Models Using Python.
Applied data analytics : principles and applications /
Reality mining : using big data to engineer a better world /
Learning Spark SQL : architect streaming analytics and machine learning solutions /
Big data analytics with SAS : get actionable insights from your big data using the power of SAS /
Big data analysis using machine learning for social scientists and criminologists /
Ceph cookbook : practical recipes to design, implement, operate, and manage Ceph storage systems /
Spark for data science : analyze your data and delve deep into the world of machine learning with the latest Spark version, 2.0 /
Composition and big data /
Streaming, sharing, stealing : big data and the future of entertainment /
Building big data pipelines with Apache Beam : use a single programming model for both batch and stream data processing /
Energy's digital future : harnessing innovation for American resilience and national security /
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 /
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 in asset pricing /
Statistics for machine learning : build supervised, unsupervised, and reinforcement learning models using both Python and R /