Skip to Main Content
WEBINAR / EVENT
Mathematical Optimization and Machine Learning
Mathematical optimization and Machine Learning (ML) are different but complementary technologies. Simply put – Mixed Integer Programming (MIP) answers questions that ML cannot. Machine learning makes predictions while MIP makes decisions. For Data Scientists to be effective, an understanding of MIP and when to use it is critical, as ML does not solve all problems effectively.
September 01 2022
WEBINAR / EVENT
Mathematical Optimization and Machine Learning
Mathematical optimization and Machine Learning (ML) are different but complementary technologies. Simply put – Mixed Integer Programming (MIP) answers questions that ML cannot. Machine learning makes predictions while MIP makes decisions. For Data Scientists to be effective, an understanding of MIP and when to use it is critical, as ML does not solve all problems effectively.
September 01 2022
WEBINAR / EVENT
Mathematical Optimization and Machine Learning
Mathematical optimization and Machine Learning (ML) are different but complementary technologies. Simply put – Mixed Integer Programming (MIP) answers questions that ML cannot. Machine learning makes predictions while MIP makes decisions. For Data Scientists to be effective, an understanding of MIP and when to use it is critical, as ML does not solve all problems effectively.
September 01 2022
In this webinar you will learn:
The latest trends in ML and Artificial Intelligence
Key findings from the Forrester Mathematical Optimization Survey
How you can use MIP in concert with ML techniques
How industries are using MIP today to efficiently use resources, often resulting in time savings and millions of dollars in cost savings
Presented Materials
You can download the materials associated with this webinar here.
Speakers
Meet Your Expert Speaker
Learn from the best in the industry, bringing years of experience and groundbreaking insights to the forefront of AI personalization.
Edward Rothberg
Chairman of the Board and Co-Founder
Dr. Edward Rothberg holds a BS in Mathematical and Computational Science, an MS in Computer Science, and a PhD in Computer Science, all from Stanford University. He is Gurobi’s Chief Scientist and Chairman of the Board. He co-founded Gurobi in 2008, served as COO until 2015, and was CEO from 2015 to 2022. Before Gurobi, he led the ILOG CPLEX team. He has more than twenty years of senior leadership in optimization software and has published numerous papers on linear algebra, parallel computing, and mathematical programming. He is a leading expert in sparse Cholesky factorization, computational linear, integer, and quadratic programming, and heuristics for mixed-integer programming.
Speakers
Meet Your Expert Speaker
Learn from the best in the industry, bringing years of experience and groundbreaking insights to the forefront of AI personalization.
Edward Rothberg
Chairman of the Board and Co-Founder
Dr. Edward Rothberg holds a BS in Mathematical and Computational Science, an MS in Computer Science, and a PhD in Computer Science, all from Stanford University. He is Gurobi’s Chief Scientist and Chairman of the Board. He co-founded Gurobi in 2008, served as COO until 2015, and was CEO from 2015 to 2022. Before Gurobi, he led the ILOG CPLEX team. He has more than twenty years of senior leadership in optimization software and has published numerous papers on linear algebra, parallel computing, and mathematical programming. He is a leading expert in sparse Cholesky factorization, computational linear, integer, and quadratic programming, and heuristics for mixed-integer programming.
Speakers
Meet Your Expert Speaker
Learn from the best in the industry, bringing years of experience and groundbreaking insights to the forefront of AI personalization.
Chairman of the Board and Co-Founder
Edward Rothberg
