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Unpaid Courses makes you a keen learner of Machine Learning and Artificial Intelligence

By ridhigrg |Email | Apr 22, 2019 | 7236 Views

Some courses which are free from edX and will make your learning more influencing and interesting. 

Developing Big Data Solutions with Azure Machine Learning Provided by Microsoft
What will you Learn
  • How to create predictive web services with Azure Machine Learning
  • How to work with big data sources in Azure Machine Learning
  • How to integrate Azure Machine Learning into big data batch processing pipelines
  • How to integrate Azure Machine Learning into real-time big data processing solutions

Machine Learning can be an incredibly beneficial tool to uncover hidden insights and predict future trends. This Machine Learning with Python course will give you all the tools you need to get started with supervised and unsupervised learning.
What you will learn
  • Supervised vs Unsupervised Machine Learning
  • How Statistical Modeling relates to Machine Learning, and how to do a comparison of each.
  • Different ways machine learning affects society

What you will learn
  • In this course, you will learn how to:
  • Build simple machine learning models with Azure Machine Learning;
  • Use Python and Microsoft cognitive services to work with text, speech, images, and video;
  • Use the Microsoft Bot Framework to implement conversational bots.

Learn the fundamentals of Artificial Intelligence (AI), and apply them. Design intelligent agents to solve real-world problems including, search, games, machine learning, logic, and constraint satisfaction problems.
What you will learn
  • Introduction to Artificial Intelligence and intelligent agents, history of Artificial Intelligence
  • Building intelligent agents (search, games, logic, constraint satisfaction problems)
  • Machine Learning algorithms
  • Applications of AI (Natural Language Processing, Robotics/Vision)
  • Solving real AI problems through programming with Python

What you will learn
  • Solid understanding of the guiding principles of AI.
  • Apply concepts of machine learning to real life problems and applications.
  • Design and harness the power of Neural Networks.
  • Broad applications of AI in fields of robotics, vision and physical simulation.

Source: HOB
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