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List of meetups:
- 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. - 2nd April, 2016. Discussion of Borde and Kwik algorithms, and Kaggle problems.
Read a blog entry related to it here. - 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. - 28th May, 2016. Discussion on the basics of Deep Learning and Neural Networks.
Read a blog entry related to it here. - 28th August, 2016. Discussion on NLP evolution and various word representations.
Read a blog entry related to it here. - 8th October, 2016. Discussion on Skymind, and Deeplearning4j and why they exist.
Read a blog entry related to it here. - 22nd October, 2016. Discussion on mapping a person’s skills to the right job.
Read a blog entry related to it here. - 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. - 18th February, 2017. Discussion on Entity search systems and improving search query responses.
Read a blog entry related to it here. - 25th March, 2017. Contributions to 'ogdindiar' R package and ML Intro workshop.
Read a blog entry related to it here. - 25th March, 2017. Use of ML in cyber security and productionizing ML models.
Read a blog entry related to it here.
- 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. - 25th June, 2016. Discussion on proactive search and digital assistants.
Read a blog entry related to it here. - 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. - 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. - 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. - 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. - 15th January, 2017. Discussion on vectorization of textual data and its’ applications in classification problems.
Read a blog entry related to it here. - 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. - 26th March, 2017. Hands-on session - Sentiment analysis of tweets.
Read a blog entry related to it here.
- 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. - 4th March, 2017. Introduction to Natural Language Processing.
Read a blog entry related to it here. - 9th April, 2017. Hands-on session - Sentiment analysis of tweets.
Read a blog entry related to it here.
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