The Indian Institute of Technology (IIT), Roorkee is organizing an Online Short Term Course/ Faculty Development Program on Machine Learning & IoT with Amazon Web Service from June 23 to July 2, 2020.
Machine learning uses statistical algorithms that learn from existing data, a process called training, in order to make decisions about new data, a process called inference. During training, patterns, and relationships in the data are identified to build a model.
The program will provide the participants with an introduction of data analytics, machine learning and it’s real-life applications and Connecting AWS platform with the Internet of Things.
- Learn the various aspects of the AWS platform and its real-life applications.
- Carry out predictions, detect fraud, recommend, and forecast based on data analysis on cloud.
- Add image and video analysis to your applications to catalog assets, automate media workflows, and extract meaning.
- Industries and the domain where analytics are used extensively.
- Guide/ Mentor the participants to seek job opportunities in IoT and AWS along with Machine Learning.
- Install the AWS CLI and create a device in the thing registry.
- AWS IoT SQL Reference.
- AWS IoT SDKs.
- Introduction to Python.
- Python for Data Analysis and Data Visualization.
- Introduction to Machine Learning.
- Linear Regression, Logistic Regression, and K Nearest Neighbour.
Faculty/ Ph.D./ Research Scholars of engineering/ technical institutions and persons from Govt. departments/ labs and industry are invited to apply.
- Faculty members: ₹ 1500/-
- Research scholars: ₹ 1500/-
- Persons from Industry: ₹ 2000/-
The program is split into lectures and labs/ hands-on sessions. Hands-on experience in basic and advanced-level topics. Certificates to participants will be provided by the E&ICT Academy IIT Roorkee. To pay the registration fees online, click here.
Interested candidates can register online by clicking here.
The last date to register is June 18, 2020.
Phone Number: +91-9717524177
Email ID: email@example.com
For further details, click here.
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