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Machine Learning India

Fostering data science and machine learning in India

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List of meetups:

  1. 27th February, 2016. Discussion of the paper: A Machine Learning Approach to Twitter User Classification by Pennacchiotti et al.[link]
    Read a blog entry related to it here.

  2. 2nd April, 2016. Discussion of Borde and Kwik algorithms, and Kaggle problems.
    Read a blog entry related to it here.

  3. 30th April, 2016. Discussion on the significance of the role of a data scientist and as well as a workshop on Neural Networks.
    Read a blog entry related to it here.

  4. 28th May, 2016. Discussion on the basics of Deep Learning and Neural Networks.
    Read a blog entry related to it here.

  5. 28th August, 2016. Discussion on NLP evolution and various word representations.
    Read a blog entry related to it here.

  6. 8th October, 2016. Discussion on Skymind, and Deeplearning4j and why they exist.
    Read a blog entry related to it here.

  7. 22nd October, 2016. Discussion on mapping a person’s skills to the right job.
    Read a blog entry related to it here.

  8. 28th January, 2017. Discussion on applications of some simple ML algos and data forecasting strategies to trading solution.
    Read a blog entry related to it here.

  9. 18th February, 2017. Discussion on Entity search systems and improving search query responses.
    Read a blog entry related to it here.


  1. 14th May, 2016. Introduction to machine learning pipeline and its fundamentals. A hands-on session on data interpretation and analysis followed by simple model building using Linear-Regression.
    Read a blog entry related to it here.

  2. 25th June, 2016. Discussion on proactive search and digital assistants.
    Read a blog entry related to it here.

  3. 21st August, 2016. Discussion on face and finger recognition, image processing, and making the learners understand how to break down the problem and then approach it.
    Read a blog entry related to it here.

  4. 13th November, 2016. Discussion on kaggle Titanic dataset, and on basic implementation and workflow to build predictive models.
    Read a blog entry related to it here.

  5. 27th November, 2016. Discussion on the learnings and doubts from Week 1 of CS231, a computer vision and deep learning course offered by Stanford.
    Read a blog entry related to it here.

  6. 18th December, 2016. Discussion on the learnings and doubts from Week 2 of CS231, a computer vision and deep learning course offered by Stanford.
    Read a blog entry related to it here.

  7. 15th January, 2017. Discussion on vectorization of textual data and its’ applications in classification problems.
    Read a blog entry related to it here.

  8. 5th February, 2017. Discussion on applications of some simple ML algos and data forecasting strategies to trading solutions.
    Read a blog entry related to it here.


  1. 4th February, 2017. Introduction to ML and discussion of the paper: A Machine Learning Approach to Twitter User Classification by Pennacchiotti et al.[link]
    Read a blog entry related to it here.

  2. 4th March, 2017. Introduction to Natural Language Processing.
    Read a blog entry related to it here.

Are you a student, professor, CEO or Maschinenmensch? Subscribe to ml-india's google group to join the discussion and recieve updates, news and resources about India's ml-ecosystem. Click here
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