Do you ever think about how Netflix ends up reading your mind and suggesting just what you wanted to watch next?
Join us for a live, interactive session with Juan Castillo (Sr. Machine Learning Engineer at Andium) as he discusses how to create a Netflix Recommendation System with the help of some data science and machine learning techniques and algorithms. He will discuss the role of the Data Science and Machine Learning program and how it helps to build data-driven solutions and in-demand skills top organizations look for.
Agenda for the session
- Understanding how to create a movie recommendation system
- Knowing data science career scope, trends, and opportunities
- Developing the right and in-demand data science skillset
- Becoming industry-ready with the program
About Speakers
Juan Castillo
Sr. Machine Learning Engineer at Andium
Juan Castillo is a seasoned professional with extensive experience in data science and emerging technologies. He is currently working as a Machine Learning Engineer at Andium, which is an end-to-end industrial IoT platform that brings intelligent software services. His research includes data science, software engineering, machine learning, deep learning, robotics, and computer vision.
Data Science and Machine Learning: Making Data-Driven Decisions Program
The Data Science and Machine Learning: Making Data-Driven Decisions Program has a curriculum carefully crafted by MIT faculty to provide you with the skills & knowledge to apply data science techniques to help you make data-driven decisions.
This data science program has been designed for the needs of data professionals looking to grow their careers and enhance their data science skills to solve complex business problems. In a relatively short period of time, the program aims to build your understanding of most industry-relevant technologies today such as machine learning, deep learning, network analytics, recommendation systems, graph neural networks, and time series.
