Featurepreneur AMA

TactLabs

In these podcasts, we'll be talking with passionate experts in Machine Learning and Data Science.

Episodes

  1. AMA with Pradeep Sharma

    09/12/2021

    AMA with Pradeep Sharma

    This is an AMA session with Pradeep Sharma, Developer Relations at open-source Jina AI, Prev. CEO at Invide, GitCommit.Show and the Author of 21 Career Hacks For Devs.

    48 min

  2. 08/22/2021

    AMA about Stack-Index

    This is an AMA session with Raja, Rohit, Divya, Talha, Vedha about StackIndex prediction using Timeseries analysis.

    18 min
  3. AMA with Sharmila

    08/15/2021

    AMA with Sharmila

    This is an AMA session with Sharmila.

    41 min
  4. AMA with Sunitha Radhakrishnan

    06/06/2021

    AMA with Sunitha Radhakrishnan

    This is an AMA session with Sunitha Radhakrishnan, a ML Consultant from Bavaria, Germany

    45 min
  5. AMA with Mazhar

    05/08/2021

    AMA with Mazhar

    This is an AMA session with Mazhar.

    20 min

  6. 05/02/2021

    AMA with Chidambaram

    This is an AMA session with Chidambaram P, a Developer at TATA Consultancy Services, Canada.

    34 min

  7. 04/24/2021

    AMA with Simbu

    This is an AMA session with Simbu on Canadian workplace culture and immigration.

    43 min
  8. Zohonite AMA with Divya and Jack

    04/23/2021

    Zohonite AMA with Divya and Jack

    This is an AMA session with Divya and Jack, interns at Zoho Corp.

    38 min

  9. 03/15/2021

    AMA with Suresh Mayavan

    This is an AMA session with Suresh Mayavan, a Lead Developer.

    44 min

  10. 02/14/2021

    AMA with Sowmya Vaidyanadan

    This is an AMA session with Sowmya Vaidyanadan, a Data Scientist.

    41 min

  11. 12/21/2020

    AMA with Jatin

    This is an AMA session with Jatin, a Tensorflow Developer.

    27 min

  12. 12/20/2020

    AMA with Muthu Revanth

    This is an AMA session with Muthu Revanth, an Amazon Intern.

    41 min
  • 12 Episodes

About

In these podcasts, we'll be talking with passionate experts in Machine Learning and Data Science.

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