DataHour: Applications of Machine Learning in Self Driving Cars

DataHour: Applications of Machine Learning in Self Driving Cars

09 Nov 202213:11pm - 09 Nov 202214:11pm

DataHour: Applications of Machine Learning in Self Driving Cars

About the Event

The development of self-driving cars is one of the most popular applications in the world of AI. Artificial Intelligence is rapidly displacing human drivers by enabling self-driving cars that use sensors to gather data about their surroundings. Autonomous vehicles can get into many different situations on the road. A car has to learn and adapt to the ever changing behavior of other vehicles around it. Machine learning algorithms and deep learning in self-driving cars make autonomous vehicles capable of making decisions in real time.

In this DataHour, Apoorva will explain the usage and application of the machine learning algorithms needed to create a fully driverless future.

Prerequisites: Zeal of learning Data Science.

  1. Best articles get published on Analytics Vidhya’s Blog Space
  2. Best articles get published on Analytics Vidhya’s Blog Space
  3. Best articles get published on Analytics Vidhya’s Blog Space
  4. Best articles get published on Analytics Vidhya’s Blog Space
  5. Best articles get published on Analytics Vidhya’s Blog Space

Who is this DataHour for?

  1. Best articles get published on Analytics Vidhya’s Blog Space
  2. Best articles get published on Analytics Vidhya’s Blog Space
  3. Best articles get published on Analytics Vidhya’s Blog Space

About the Speaker

Apoorva M. Kakde

Apoorva M. Kakde

Senior Engineer in Tata Consultancy Services

Apoorva is currently working as a Senior Engineer in Tata Consultancy Services. She has 6+ years of experience in analysis, solution designing , providing technical direction,consulting on solution validation, releasing plans and implementing agile methodology best practices for the project. She also holds experience in design and architecture end to end solutions to business problems and test environment creation using machine learning.She is efficiently leading to coach and mentor development teams in delivering solutions and driving planning & performance management development standards and best practices.

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