Machine learning is a vital aspect of artificial intelligence (AI). The key for the future of AI technology, machine learning allows an AI system to learn from its experiences without it needing explicit programming. When applied in a business setting, this type of data-driven decision making becomes more accurate and accessible.
Machine Learning: Predictive Analysis for Business Decisions is an IEEE five-course program designed for executives and technical professionals to develop greater understanding of how machine learning can be used in the business world.
Contact an IEEE Content Specialist today to learn more about getting access to course programs for your organization.
IEEE eLearning courses are available in a wide range of topics, with many featured course series to choose from in various subtopics. Learn more about the full IEEE eLearning Library collection.
Fill out the form below to be contacted by an IEEE representative and receive information about IEEE Xplore and related products.
For a limited time, IEEE is offering faculty, librarians, and information professionals the opportunity to download four FREE eBooks from two engaging eBooks collections available in the IEEE Xplore Digital Library.
We hope you find these eBooks a valuable resource with critical information on emerging topics for your students and researchers. We encourage you to recommend these eBook collections to your librarian or contact your IEEE sales representative today for more information on how to purchase.
2 Jan 2020
DOWNLOAD E-BOOK29 Dec 2019
DOWNLOAD E-BOOK11 Nov 2019
DOWNLOAD E-BOOK2 Jan 2020
DOWNLOAD E-BOOKHarmonic Stability in Power Electronic Based Power Systems: Concept, Modeling, and Analysis
Extra Clocking of LFSR Seeds for Improved Path Delay Fault Coverage
Performance Enhancement of Edge-AI-Inference Using Commodity MRAM: IoT Case Study
For a limited time, IEEE is offering faculty, librarians, and information professionals the opportunity to download four FREE eBooks from two engaging eBooks collections available in the IEEE Xplore Digital Library.
We hope you find these eBooks a valuable resource with critical information on emerging topics for your students and researchers. We encourage you to recommend these eBook collections to your librarian or contact your IEEE sales representative today for more information on how to purchase.