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Mathematics for Machine Learning from Industry Expert
Starts at:
Friday, October 21 @ 1:30 p.m. UTC
Ends at:
Friday, October 21 @ 3 p.m. UTC
Friday, October 21 @ 1:30 p.m. UTC
Friday, October 21 @ 3 p.m. UTC
About the Event
Become a MAANG Engineer by 2023!
Machine Learning is the most rapidly growing domain in the IT industry. More and more sectors are using concepts of Machine Learning for enhancing their businesses.
It is an application of AI that enables systems to learn and improve from experience without being explicitly programmed. But have you ever wondered what is the magic behind ML?
The answer is mathematics. Mathematics is the core of designing ML algorithms that can automatically learn from data and make predictions. Therefore, it is very important to understand the Maths before going into a deep understanding of ML algorithms.
As a part of this webinar, we will discuss the correlation between Machine Learning and Mathematics in detail. We will further look into its importance during the interviews for Machine Learning job role.
Key Takeaways:
- How to become a Machine Learning Engineer?
- Why is mathematics important before diving into Machine Learning?
- Which mathematical concepts are required and their use cases
- What level of maths do you need?
- Proper way of learning mathematics for Machine Learning
- Tips and tricks to crack tech interviews in MAANG companies
- Resources to follow
The Certificate of Participation will be provided from CloudxLab to all the attendees.
About Presenter
He is a Software Engineer and aspiring scientist. He mainly worked on Python, C++, and Java, creating microservices and APIs using AWS.
He also worked on projects involving risk assessment using ML models, computer vision, image processing, and compilers.