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The Guide Of IBM Cognitive Analytics Program

by Online answers Digi Online solutions for every query

Cognitive analytics helps you gain insight from all forms of data, structured or unstructured, visual or aural. It can help you learn, improve processes and accelerate your business. Learn more about IBM cognitive analytics at Skillup Online.


IBM’s Cognitive Analytics program consists of four courses:

Statistics 101 - If you’re looking to take your career to the next level, or even just to learn a valuable new skill, SkillUp is an excellent resource. You’ll be able to evaluate data more effectively and improve your understanding of how this powerful tool can be used.


Predictive Modeling Fundamentals I - This course is to develop a solid foundation in predictive modeling techniques by exposing the students to different types of data models and their applications across various industry domains. The course will provide hands-on experience using IBM SPSS Modeler to create predictive models.


Machine Learning with Python - While taking this course you will learn how to install and configure the Python environment for developing machine learning. You will also be shown how to use various libraries such as NumPy, Pandas, and Scikit-learn so that you can start coding data science algorithms from scratch. 


Machine learning with Apache SystemML - In this course, you'll learn how to use Apache SystemML for machine learning. This course starts off with a guided tour of SystemML, which is the foundation for performing machine learning. This course is meant to provide a solid foundation for anyone who wants to use SystemML for their machine learning projects.


IBM Cognitive Analytics is an innovative program that provides learners the opportunity to expand their skill set and take their learning to top companies. SkillUp Online’s training programs are designed to ensure you receive the latest practical instruction in developing skills for a variety of physical and non-physical work environments.



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Created on Dec 28th 2021 03:28. Viewed 187 times.

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