Organized by IEEE SB DA-IICT

Summer School 2018
18th - 24th June

ABOUT SUMMER SCHOOL

Are you bored thinking about what you'll do in summer? Do not fret. IEEE SB of DA-IICT is organizing a course in Summer by which can enhance everyone's knowledge in one of the most sought-after fields. Rest assured that it will be an amazing experience full of fun and knowledge.

This year's course is an introductory course on Machine Learning. What exactly is machine learning? Machine Learning is the science of getting computers to act without being explicitly programmed. It is an application of AI that provides systems the ability to automatically learn and improve from experience without being explicitly programmed. As you know, Machine Learning is one of the most sought-after fields in the current market.

This course is designed to help the students gain an overview of Machine Learning. It will deal with the Introduction and then will cover advanced topics such as Data Visualization techniques, Linear Regression, Neural Networks, Deep Learning, and a lot more. In the end, the students will also be assigned a project to put these new skills to use.

Hence, we urge you to join this course and make your summer a productive one. Enroll now to gear up your arsenal in the field of Machine Learning.

Join us for these seven days and make these days the best days of your summer!

Our Speakers

Schedule

Before Lunch :

   Introduction to Machine Learning
   Concept of Machine Learning Systems
   Types of learning
   Overview of ML algorithms

After Lunch :

   Basic libraries in python for Data Analysis
   Data Preprocessing techniques
   Data Visualisation techniques

Before Lunch :

   Linear Regression theory
   Gradient Descent and Backpropogation Algorithm
   Gradient Descent Implementation

After Lunch :

   Linear Regression Implementation
   Logistic Regression Theory
   Logistic Regression Implementation

Before Lunch :

   Neural Networks Intuition
   Neural Networks Theory

After Lunch :

   Neural Networks Implementation
   Deep Learning Intuition

Before Lunch :

   Unsupervised learning techniques
   k-Nearest Neighbours Algorithm
   k-Means Clustering Algorithm

After Lunch :

   Project showcase by DA-IICT students
   k-Means Clustering Implementation
   Decision trees Theory
   Decision tress Implementation

Before Lunch :

   Optimisation Techniques
   Hyperparameter Tuning

After Lunch :

   Project showcase by DA-IICT students
   Introduction to Dimensionality Reduction Algorithms
   Principal Component Analysis(PCA) Algorithm
   PCA Implementation

Before Lunch :

   Linear Classifiers: Support Vector Machines

After Lunch :

   Project showcase by DA-IICT students
   Non linear classifiers: Kernel Support Vector Machines
   SVM Implementation

Mini Project


   Prerequisites : Basic Python

Note : All the summer school attendees are required to have basic knowledge in python. They must go through all the resources which will be shared on the website before coming to the summer school.

Refer This Drive Link For Basic Pyton Knowledge And Basic Concept Of Machine Learning.

Register Here


DA-IICT Student

IEEE Member

₹ 800

Non-IEEE Member

₹ 1000

Non DA-IICT Student

IEEE Member

₹ 1000

Non-IEEE Member

₹ 1200

After 12th June

IEEE Member

₹ 1200

Non-IEEE Member

₹ 1400



Online Ticketing Partner

Contact Us

Abhi Ratnman

+91 757 484 2044

Jainil Pariya

+91 955 802 1183

Shivani Bhandari

+91 701 610 1851


Find Us At

IEEE ROOM, CLUB HOUSE - 2, DA-IICT, GANDHINAGAR – 382007 GUJARAT, INDIA