Hi @Achuth dintakurthi, like many of the interesting questions in life the answer is it depends.... I think anyone can benefit from generic understanding of AI capabilities and the fastest route to AI may be to leverage some of the specialized prebuilt AI algorithms (i.e.: Watson APIs) focused on areas such as visual recognition, speech recognition, etc. But prebuilt models don't always get you to where you need, in which case you may want to learn how to build models from scratch. Since you already know python you already have some ground covered, but I recommend you refresh your probability, statistics, and basic linear algebra concepts. Then focus on developing machine learning skills of which neural networks is just one of the multiple algorithms to learn. Neural networks are at the center of deep learning but i highly recommend you don't jump into deep learning first. Learning machine learning first will give you a solid foundation to then focus on developing deeper deep learning skills. You may find some relevant courses here:
https://www.ibm.com/services/learning/ailearning and also at coursera.org/ibm
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Ana Echeverri
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Original Message:
Sent: Wed January 08, 2020 04:03 PM
From: Christina Howell
Subject: clarification
Thanks for joining the community and for reaching out, @Achuth dintakurthi. Your question may require further clarification, but my colleague @Ana Echeverri recently presented a webinar in the community, which covers the steps to build your data science career. You may find some great value in listening to the replay here.
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Christina Howell
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