Data Science and A.I Application in E-Mobility

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Data science and a i application in e mobility

Description

The future of energy storage lies in data. According to Aryan (Akhil Aryan, Co-Founder and CEO, ION Energy), Electric vehicle and energy storage space providers are increasingly understanding the importance of battery data to optimise their fleet, deploy faster, improve up time and to improve the life of the batteries, making a tremendous impact on the business. “We believe that technology alone cannot solve problems, it needs to be developed keeping in mind the domain and the business. By applying battery domain knowledge to technologies like data analytics, simulations, and machine learning, we can accelerate the transition of businesses to an all-electric future,” he asserts.

Data science, AI and IoT are revolutionising the EV space and are paving the way for an all-electric future in the next 5-10 years. “These technologies are making sense of battery data to derive valuable insights, that can determine and considerably improve the battery life. That would reduce the overall ownership cost and the planet’s dependence on fossil fuels,” states Aryan.

Mr. Aditya Kaki

Technical lead at ZF India Technical Center

Machine Learning and Deep Learning certification from IIIT Hyderabad, M.tech in Software and Systems in Bits Pilani

Provided training on MATLAB Simulink, MATLAB Stateflow, M scripting, Vector Cast tools, Automotive protocols, Python, Data science, Machine learning, Deep learning and Embedded etc, on corporate level. Delivered workshop in Machine learning, Deep learning and Data sciences in prestigious colleges NIIT Manglore, IIT Hyderabad, IIT Madras, IIT Bombay.

As a freelancer, provided several Embedded software solutions for robotics, products etc,. and also provided solution for the problem statements in the field of Machine learning and Computer vision based application and products.

Note: Kindly do not download certificate before update of duration in lesson. It is 00:00 now. It will be updated after completion of webinar.

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Program outcomes

Determining the terms Artificial Intelligence, Machine Learning, Deep Learning and Data Science
Difference between Traditional and Machine learning
Classification in Machine learning > Supervised, Unsupervised, Reinforcement and Semi supervised > Regression and Classification > Clustering and Association rules
Role of AI in E mobility, Discussing 2 R&D projects which are being worked on
Career options opportunists in Data Science and Artificial Intelligence
Different roles and responsibilities

Requirements

Mobile/Laptop/Tablet with good internet connectivity.

Interest in Learning Data Science, Machine Learning, Artificial Intelligence, E-Mobility etc.

Syllabus

1 Lessons
01:01:29 Hours

On Demand Webinar

On Demand Webinar Video01:01:29

Program outcomes

Determining the terms Artificial Intelligence, Machine Learning, Deep Learning and Data Science
Difference between Traditional and Machine learning
Classification in Machine learning > Supervised, Unsupervised, Reinforcement and Semi supervised > Regression and Classification > Clustering and Association rules
Role of AI in E mobility, Discussing 2 R&D projects which are being worked on
Career options opportunists in Data Science and Artificial Intelligence
Different roles and responsibilities

About instructor

Name : ISIEINDIA E-LEARNING

Reviews : 226 Reviews

Student : 4091 Students

Courses : 106 Courses

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Reviews

Based on 15 Reviews

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5 Stars

VINOD Gupta - Sun, 31-May-2020

Ashutosh shukla - Sun, 31-May-2020

Sandhya D - Mon, 01-Jun-2020

Prathmesh Barapatre - Tue, 02-Jun-2020

quite an informative session in terms of E Mobility and the best one ever attended. Would really like to attain such more sessions on data science and AI in terms of autonomous vehicle