Tag: AI & Machine Learning

Grokking Machine Learning Front Cover

Grokking Machine Learning

  • Length: 512 pages
  • Publication Date: 2021-12-14
4.5
11 ratings
Machine Learning Engineering with Python: Manage the production life cycle of machine learning models using MLOps with practical examples Front Cover

Machine Learning Engineering with Python: Manage the production life cycle of machine learning models using MLOps with practical examples

  • Length: 276 pages
  • Publication Date: 2021-11-05
0
0 ratings
Building Industrial Digital Twins: Design, develop, and deploy digital twin solutions for real-world industries using Azure Digital Twins Front Cover

Building Industrial Digital Twins: Design, develop, and deploy digital twin solutions for real-world industries using Azure Digital Twins

  • Length: 286 pages
  • Publication Date: 2021-11-02
0
0 ratings
Deep Learning with Python, 2nd Edition Front Cover

Deep Learning with Python, 2nd Edition

  • Length: 504 pages
  • Publication Date: 2021-11-23
4.6
870 ratings
Essential PySpark for Scalable Data Analytics: A beginner’s guide to harnessing the power and ease of PySpark 3 Front Cover

Essential PySpark for Scalable Data Analytics: A beginner’s guide to harnessing the power and ease of PySpark 3

  • Length: 322 pages
  • Publication Date: 2021-10-29
0
0 ratings
Machine Learning with Amazon SageMaker Cookbook: 80 proven recipes for data scientists and developers to perform machine learning experiments and deployments Front Cover

Machine Learning with Amazon SageMaker Cookbook: 80 proven recipes for data scientists and developers to perform machine learning experiments and deployments

  • Length: 762 pages
  • Publication Date: 2021-10-29
0
0 ratings
IBM Cloud Pak for Data: An enterprise platform to operationalize data, analytics, and AI Front Cover

IBM Cloud Pak for Data: An enterprise platform to operationalize data, analytics, and AI

  • Length: 336 pages
  • Publication Date: 2021-11-24
0
0 ratings
Data Science Solutions with Python: Fast and Scalable Models Using Keras, PySpark MLlib, H2O, XGBoost, and Scikit-Learn Front Cover

Data Science Solutions with Python: Fast and Scalable Models Using Keras, PySpark MLlib, H2O, XGBoost, and Scikit-Learn

  • Length: 135 pages
  • Publication Date: 2021-11-09
0
0 ratings
Web App Development and Real-Time Web Analytics with Python: Develop and Integrate Machine Learning Algorithms into Web Apps Front Cover

Web App Development and Real-Time Web Analytics with Python: Develop and Integrate Machine Learning Algorithms into Web Apps

  • Length: 241 pages
  • Publication Date: 2021-12-05
0
0 ratings
Beginning Apache Spark 3: With DataFrame, Spark SQL, Structured Streaming, and Spark Machine Learning Library, 2nd Edition Front Cover

Beginning Apache Spark 3: With DataFrame, Spark SQL, Structured Streaming, and Spark Machine Learning Library, 2nd Edition

  • Length: 455 pages
  • Publication Date: 2021-11-08
0
0 ratings
Bots and Beasts: What Makes Machines, Animals, and People Smart? Front Cover

Bots and Beasts: What Makes Machines, Animals, and People Smart?

  • Length: 312 pages
  • Publication Date: 2021-10-19
0
0 ratings
Artificial Neural Networks with Java: Tools for Building Neural Network Applications, 2nd Edition Front Cover

Artificial Neural Networks with Java: Tools for Building Neural Network Applications, 2nd Edition

  • Length: 649 pages
  • Publication Date: 2021-11-06
0
0 ratings