Basics of Machine Learning

11th December to 11th December, 2016
1 Days
Age Group
16 and above
11:00 AM - 05:00 PM
Rs. 1500

This workshop introduces students on how to approach real life machine learning problems and apply machine learning solutions using MATLAB. It covers the types of machine learning problems in brief and focuses in detail on the supervised learning algorithms. After this workshop, the learner can predict future prices of products based on current trends, design algorithms to automatically cluster and organize objects.

Topics Covered:

  1. History and need for Machine Learning
  2. Types of Machine Learning Problems
  3. Installation and Setup in MATLAB
  4. Optimization using Gradient descent
  5. Regressors and Classifiers
  6. Linear and Logistic Regression
  7. Bias and Variance
  8. Underfitting, overfitting and learning curves
  9. Artificial Neural Networks
  10. Clustering using kNN
  11. Algorithm design to automatically cluster and organize objects
  12. Algorithm design to predict future prices of products.

About the Speaker: Shubhojyoti Ganguly has worked on different applications of Machine Learning in Robotic Vision. He is an active member of the Coursera Mentor Community, Google Developers Community, Wakatime Developer community, and Society of Robots and Society of Automotive Engineers (SAE).

Certificates will be provided on successful completion of the course.

Terms and Conditions

1.      The ticket cost includes entry to the 1-day workshop.

2.      Attendees are requested to carry a laptop.

3.      Pizzas will be given on Sunday to all attendees.

4.      Certificates will be provided on successful completion of the course.

5.      Please carry two passport size photos.

Contact Person
Team Robocraze
Contact No.
Email ID
Visit Us
#822, 9th Main, 1st C Cross, HRBR Layout Banaswadi
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