Beginning Machine Learning

16 May 2018 | Written by Alex Mathai
Summer Program , Machine Learning SIG

Machine Learning Special Interest Group

SIG Co-ordinator - Alex Mathai

Terms

  1. All prerequisites must be completed by June 1st.

  2. If you don’t do this, it is your loss. The journey ahead will be very difficult for you.

  3. I will allow all of you to be a part of any number of SIGs till July. After this if you intend to be a part of the ML SIG, you can participate in utmost 2 SIGs.

  4. Right now, your only job is to study python.

Prerequisites

  1. Python

    1. Youtube Channel: Corey Schafer Python Tutorials
      1. 1 - 9 Videos
      2. 13 -16 Videos
      3. 19 - 23 Videos
      4. 25 Video
      5. 30 [Optional but recommended]
      6. 33 - 42 [Optional but recommended]

    2. For those who already know a programming language, the official python tutorial is a good resource. It might be a bit too comprehensive though.

    3. Use any other resource you want as long as you complete all the concepts in the above videos.

  2. Math-1: Done in BITS

  3. Math-2: Done in BITS

  4. Prob Stats: Done in BITS

SIG Duration - 2 months

Benefits of the SIG

  1. Get you to a level where you can start teaching yourself concepts of Deep Learning and Machine Learning.

  2. You will be implementing 1 or 2 projects during the summer in this SIG to give you practical exposure.

  3. Will help you to get exposure to projects that are being implemented for industries and other competitions. (Look Below)

Post SIG Goals

Project : Unsupervised Human Action Recognition

  1. This is a part of a 2 crore project for a surveillance company in Mumbai. This project will be very difficult, and very less research is currently available . Hence all that we will be doing will be state of the art. This is will be extremely fun because we will essentially be breaking into new domains of surveillance. Anything that we do, will be absolutely original and has most probably never been tried before.

Project : FIRE 2018 NLP Task

  1. FIRE (Forum for Information Retrieval Evaluation) is holding a competition this year among all major institutes like IIIT Hyderabad, BITS Pilani and some IITs. I will involve you in this competition, this will make you proficient in implementing recurrent neural networks,data pre-processing,glove model and many other natural language related concepts.

First Sem Hackathon

  1. I will be choosing between 1 to 2 of you to accompany me in my team for an off-campus Hackathon. This will provide you with enough exposure to how teams work, what’s essential to have in a team, how to strategize and so on…