Upgrade & Secure Your Future with DevOps, SRE, DevSecOps, MLOps!

We spend hours on Instagram and YouTube and waste money on coffee and fast food, but won’t spend 30 minutes a day learning skills to boost our careers.
Master in DevOps, SRE, DevSecOps & MLOps!

Learn from Guru Rajesh Kumar and double your salary in just one year.

Get Started Now!

Amazon India introduces machine learning summer school

Source – https://www.therahnuma.com/

Bengaluru, June 13 (IANS) Amazon India on Sunday announced the launch of ML Summer School which will provide an integrated learning experience for students to gain applied Machine Learning (ML) skills.

A batch of students from select tech campuses in India will be presented with the opportunity to engage through virtual classroom tutorials followed by interactive Q&A sessions with scientists at Amazon.

For students with prior exposure to certain areas of ML, the programme can act as a refresher course, while additionally providing a practical perspective on ML applications in industry, the company said in a statement.

“With the pace of advancements in ML, we are proactively helping students to learn about the latest trends in the field of ML and apply them to solve real-world problems,” said Rajeev Rastogi, VP, India Machine Learning at Amazon.

“Our aim is to prepare students for science roles — this will help to reduce the gap between the growing demand for ML roles across companies and the talent pool with applied ML skills,” he added.

ML Summer School is open to engineering students in their pre-final/final year of Bachelors, Masters or PhD studies across select tech campuses in 2021.

Participants of ML Summer School will be identified through an online assessment.

They will also have access to the Amazon Research Days (ARD) conference where they can learn about technology trends in industry through presentations from renowned ML leaders around the world.

The curriculum of ML Summer School will cover the fundamental concepts in ML while linking them to practical industry applications through an immersive three-day course.

Students will get to learn first-hand on how advanced ML techniques such as Deep Learning and Probabilistic Graphical Models can be leveraged to solve specific business problems in the e-commerce domain such as demand forecasting, catalogue quality, product recommendations, search ranking and online advertising.

Related Posts

What is Machine Learning and what are the Types of Machine Learning Tools Available?

What is Machine Learning? Machine Learning is a subfield of Artificial Intelligence that incorporates statistical models and algorithms to help computer systems learn from data and improve Read More

Read More

What is an Autonomous System and what are Applications of Autonomous Systems?

Introduction to Autonomous Systems Autonomous systems, once the stuff of science fiction, have become a reality in our world today. From self-driving cars to drones, robots, and Read More

Read More

What is Predictive Analytics and what is the Types of Predictive Analytics Tools

Introduction to Predictive Analytics Tools As businesses continue to collect vast amounts of data, it becomes increasingly challenging to make informed decisions that drive growth and improve Read More

Read More

What is Neural Network Libraries and What are the popular neural network libraries available today?

1. Introduction to Neural Network Libraries Neural networks are being used more and more in today’s technology landscape, powering everything from image recognition algorithms to natural language Read More

Read More

What is Reinforcement Learning and What are Reinforcement Learning Libraries?

Introduction to Reinforcement Learning Reinforcement learning is a machine learning technique that involves training an agent to make decisions based on trial and error. It is an Read More

Read More

What are Graphical Models? Why use Graphical Models Libraries and Types of Graphical Models Libraries?

Graphical Models Libraries are powerful tools that allow developers and data scientists to build complex models with more accuracy and less complexity. These libraries help in capturing Read More

Read More
Subscribe
Notify of
guest
0 Comments
Oldest
Newest Most Voted
Inline Feedbacks
View all comments
0
Would love your thoughts, please comment.x
()
x