YoVDO

Solving Optimization Problems on Databricks for the Ad Industry

Offered By: Databricks via YouTube

Tags

Databricks Courses Data Science Courses Big Data Courses Machine Learning Courses Algorithms Courses Data Processing Courses Scalability Courses

Course Description

Overview

Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!
Explore innovative approaches to solving optimization problems in the advertising industry using Databricks in this 29-minute conference talk. Discover how traditional optimization techniques are being adapted to handle large-scale data challenges. Learn about the exploration of various algorithms and their tuning for execution on the Databricks platform. Gain insights into how the Databricks Platform enables processing of data and solving complex problems at scale while seamlessly integrating with existing infrastructure. Presented by Bryan Liu, Sr. Data Scientist, and Jivitesh Poojary, Lead ML Engineer from Effectv / Comcast, this talk offers valuable knowledge for data scientists and engineers working in the ad industry or dealing with large-scale optimization challenges.

Syllabus

Solving Optimization Problems on Databricks for the Ad Industry


Taught by

Databricks

Related Courses

Data Analysis
Johns Hopkins University via Coursera Computing for Data Analysis
Johns Hopkins University via Coursera Scientific Computing
University of Washington via Coursera Introduction to Data Science
University of Washington via Coursera Web Intelligence and Big Data
Indian Institute of Technology Delhi via Coursera