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Introduction to Machine Learning

About this Free Certificates Course

The school for the course is Dr. Abhinanda Sarkar, Ph.D. from Stanford College and Ex-School MIT, is Educational Director at Nice Learning for Information Science and Machine Learning Applications.

Machine Learning is a subset of Synthetic Intelligence and in it a pc is programmed with the power to self-learn and enhance itself on a selected process. With the world being pushed by the developments in AI and its disciplines, Machine Learning is progressively conquering the world in all its glory, and that is why it is probably the most sought-after profession choices at present, which is precisely why so many individuals need to be taught it at present. This course introduces you to the world to Machine Learning. This course will stroll you thru Supervised and Unsupervised studying, Regression and Classification, hackathon, kaggle, advice techniques and ML on cloud.


  • Introduction of Machine Learning

Course Syllabus

Introduction to Machine Learning

  • Supervised studying
  • Unsupervised Learning
  • Introduction to Machine Learning
  • Steps of Machine Learning
  • Hackathon and Kaggle
  • Regression and Classification
  • Netflix Value
  • Recommender System
  • ML on Cloud

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