Session: Open Source Machine Learning Toolkit

The last couple of years have seen a rapid bloom and dominance of Machine Learning in multiple domains. Needless to say, the Open Source environment has assisted this immense growth by dispensing up-to-date tools. There is a vast variety of Open Source ML frameworks and libraries available for us to ply, but it is valuable that we focus on our experience depth-wise. So let’s discuss some essential ones which will help us excel in this field of Machine Learning and Data Science.

Session Speakers:

Jigyasa Grover

Jigyasa Grover is a Machine Learning Engineer at Twitter and the author of the book ‘Sculpting Data for ML’. She has a myriad of experiences from her brief stints at Facebook, Inc., Nat [Read More]