How to Pursue a Career in Machine Learning and AI
Dr. Tirthajyoti Sarkar works as a Sr. Principal Engineer at ON Semiconductor, where he leads Artificial intelligence and Machine learning projects and develops advanced semiconductor technology and products which power everything from smartphones and data centers to electric cars.
He has published data science books, and regularly contributes highly cited AI/ML related articles on top platforms. Tirthajyoti has also developed multiple open-source software packages in the field of statistical modeling and data analytics. He has 5 US patents and ~30 technical publications in IEEE journals/conferences.
He conducts regular workshops and participates in expert panels on various AI/ML topics and contributes to the broader data science community in numerous ways. Tirthajyoti holds a Ph.D. from the University of Illinois and a B.Tech degree from the Indian Institute of Technology.
What this webinar will cover
Dr. Sarkar will talk about learning techniques and transition strategies for taking up data science/machine learning projects in your organization. He will cover this from an outsider’s perspective i.e. as someone whose primary job responsibility has been traditional engineering. He will also cover pointers to valuable open-source/low-cost resources for starting the journey into this path.
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