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.
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.
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. Rothberg has served in senior leadership positions in optimization software companies for more than twenty years. Prior to his role as Gurobi Chief Scientist and Chairman of the Board, Dr. Rothberg held the Gurobi CEO position from 2015 - 2022 and the COO position from the co-founding of Gurobi in 2008 to 2015. Prior to co-founding Gurobi, he led the ILOG CPLEX team. Dr. Edward Rothberg has a BS in Mathematical and Computational Science from Stanford University, and an MS and PhD in Computer Science, also from Stanford University. Dr. Rothberg has published numerous papers in the fields of linear algebra, parallel computing, and mathematical programming. He is one of the world's leading experts in sparse Cholesky factorization and computational linear, integer, and quadratic programming. He is particularly well known for his work in parallel sparse matrix factorization, and in 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. Rothberg has served in senior leadership positions in optimization software companies for more than twenty years. Prior to his role as Gurobi Chief Scientist and Chairman of the Board, Dr. Rothberg held the Gurobi CEO position from 2015 - 2022 and the COO position from the co-founding of Gurobi in 2008 to 2015. Prior to co-founding Gurobi, he led the ILOG CPLEX team. Dr. Edward Rothberg has a BS in Mathematical and Computational Science from Stanford University, and an MS and PhD in Computer Science, also from Stanford University. Dr. Rothberg has published numerous papers in the fields of linear algebra, parallel computing, and mathematical programming. He is one of the world's leading experts in sparse Cholesky factorization and computational linear, integer, and quadratic programming. He is particularly well known for his work in parallel sparse matrix factorization, and in 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
Dr. Rothberg has served in senior leadership positions in optimization software companies for more than twenty years. Prior to his role as Gurobi Chief Scientist and Chairman of the Board, Dr. Rothberg held the Gurobi CEO position from 2015 - 2022 and the COO position from the co-founding of Gurobi in 2008 to 2015. Prior to co-founding Gurobi, he led the ILOG CPLEX team. Dr. Edward Rothberg has a BS in Mathematical and Computational Science from Stanford University, and an MS and PhD in Computer Science, also from Stanford University. Dr. Rothberg has published numerous papers in the fields of linear algebra, parallel computing, and mathematical programming. He is one of the world's leading experts in sparse Cholesky factorization and computational linear, integer, and quadratic programming. He is particularly well known for his work in parallel sparse matrix factorization, and in heuristics for mixed integer programming.
