The Machine Learning Crash Course (MLCC) Study Jam series comes to India

Looking for an inroad into the world of Artificial Intelligence and Machine Learning? Now you can access practical — and free — training from Google experts.

• by Chetan Krishnaswamy, Director – Public Policy, Google India

From helping farmers detect the onset of crop infections to enabling doctors diagnose the occurrence of diabetic blindness among millions, Artificial Intelligence is helping tackle challenges inventively across a range of sectors. At Google, we believe that AI has the potential to make apps and services more useful, while helping innovation among businesses and developers, be it in their own field or while taking on humanity’s big challenges.

In India the AI ecosystem is nascent but is developing rapidly. With companies of all sizes adopting AI in their solutions, there is a clear and present need for trained and technically-equipped developers to drive these AI-related challenges and projects. To help facilitate this, Google signed a Statement of Intent with NITI Aayog earlier this year to jointly work towards building the AI ecosystem in India.

One of the key initiatives of this collaboration is to train Indian developers in the field of Machine Learning. With this as the objective we are excited to  bring the Machine Learning Crash Course (MLCC) Study Jam series to India this July.

This course intends to improve developers’ technical proficiency in machine learning, enabling them to apply cutting-edge techniques to help take on a range of practical challenges.

About MLCC

MLCC is Google’s flagship machine learning course, initially created for Google engineers. This course was taken up by more than 18,000 Googlers, and was recently made publicly available.  MLCC provides exercises, interactive visualizations, and instructional videos that anyone can use to learn and practice ML concepts.

What does the course cover?

MLCC covers numerous machine learning fundamentals, from  basic concepts such as loss function and gradient descent, then building through more advanced theories like classification models and neural networks. The programming exercises include the basics of TensorFlow — our open-source machine learning framework — and also feature succinct videos from Google machine learning experts. Participants will be able to read short text lessons, and play with educational gadgets devised by Google’s instructional designers and engineers.

Who should take this (free!) course?

MLCC is intended for those who wish to learn about ML from a practical, applied perspective that will enable them to gain a deeper understanding of the power of TensorFlow, and incorporate best practices into their everyday projects. This course is ideally suited to developers with basic machine learning knowledge, who are keen to gain experience in ML and TensorFlow.

For more details  :    Visit the website and apply now for a study jam.

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