WEBINAR / EVENT
On-Demand: Optimization 201 for Data Scientists
This is a hands-on virtual intermediate training event that introduces mathematical optimization, the critical role it serves in analytics.
April 15 2024
WEBINAR / EVENT
On-Demand: Optimization 201 for Data Scientists
This is a hands-on virtual intermediate training event that introduces mathematical optimization, the critical role it serves in analytics.
April 15 2024
WEBINAR / EVENT
On-Demand: Optimization 201 for Data Scientists
This is a hands-on virtual intermediate training event that introduces mathematical optimization, the critical role it serves in analytics.
April 15 2024
AVAILABLE ON-DEMAND FROM APRIL 15 – SEPTEMBER 15, 2024: This is a hands-on virtual intermediate training event that introduces mathematical optimization, the critical role it serves in analytics, and why it should be a part of every data scientists’ toolkit.
Who Should Attend?
Opti201 – On-Demand Training is tailored for data scientists, machine learning enthusiasts, analysts, academics and professionals seeking to elevate their skills by learning to build more complex mathematical optimization models and better understanding how optimization integrates with machine learning.
Course Highlights Include:
Day 1 (self-paced):
Introduction: You Heard about the Benefits of Mathematical Optimization in 101, Now Let’s See it in Action and How Optimization & ML Work Together
Oh, So You Think You Can Optimize: How different approaches can help you make better decisions
Intermediate Modeling with Gurobipy
Hands-on Modeling and Coding: Part 1
Intermediate Exercise Set 1
Day 2 (self-paced):
Hidden Gems: Learn about the Features Available to Improve your Models
Hands-on Modeling and Coding: Part 2
Putting it All Together: Introducing the Intermediate Use Case
Use Case Modeling in Colab
Wrap-up
What’s Next for Your Learning Journey: The Gurobi ML Package & OptiMods Example (Optional)
*This training was originally offered live in November 2023 with a corresponding certificate of completion for those who completed all session content. We will be offering another live training in November 2024 with a certificate path, but the on-demand training will not issue certificates due to the self-paced nature of the training content. We are excited to have you learn and upskill with us!
Did you miss Opti 101? Not a problem, as a pre-requisite, we recommend viewing all Opti 101 sessions on-demand.
AVAILABLE ON-DEMAND FROM APRIL 15 – SEPTEMBER 15, 2024: This is a hands-on virtual intermediate training event that introduces mathematical optimization, the critical role it serves in analytics, and why it should be a part of every data scientists’ toolkit.
Who Should Attend?
Opti201 – On-Demand Training is tailored for data scientists, machine learning enthusiasts, analysts, academics and professionals seeking to elevate their skills by learning to build more complex mathematical optimization models and better understanding how optimization integrates with machine learning.
Course Highlights Include:
Day 1 (self-paced):
Introduction: You Heard about the Benefits of Mathematical Optimization in 101, Now Let’s See it in Action and How Optimization & ML Work Together
Oh, So You Think You Can Optimize: How different approaches can help you make better decisions
Intermediate Modeling with Gurobipy
Hands-on Modeling and Coding: Part 1
Intermediate Exercise Set 1
Day 2 (self-paced):
Hidden Gems: Learn about the Features Available to Improve your Models
Hands-on Modeling and Coding: Part 2
Putting it All Together: Introducing the Intermediate Use Case
Use Case Modeling in Colab
Wrap-up
What’s Next for Your Learning Journey: The Gurobi ML Package & OptiMods Example (Optional)
*This training was originally offered live in November 2023 with a corresponding certificate of completion for those who completed all session content. We will be offering another live training in November 2024 with a certificate path, but the on-demand training will not issue certificates due to the self-paced nature of the training content. We are excited to have you learn and upskill with us!
Did you miss Opti 101? Not a problem, as a pre-requisite, we recommend viewing all Opti 101 sessions on-demand.
AVAILABLE ON-DEMAND FROM APRIL 15 – SEPTEMBER 15, 2024: This is a hands-on virtual intermediate training event that introduces mathematical optimization, the critical role it serves in analytics, and why it should be a part of every data scientists’ toolkit.
Who Should Attend?
Opti201 – On-Demand Training is tailored for data scientists, machine learning enthusiasts, analysts, academics and professionals seeking to elevate their skills by learning to build more complex mathematical optimization models and better understanding how optimization integrates with machine learning.
Course Highlights Include:
Day 1 (self-paced):
Introduction: You Heard about the Benefits of Mathematical Optimization in 101, Now Let’s See it in Action and How Optimization & ML Work Together
Oh, So You Think You Can Optimize: How different approaches can help you make better decisions
Intermediate Modeling with Gurobipy
Hands-on Modeling and Coding: Part 1
Intermediate Exercise Set 1
Day 2 (self-paced):
Hidden Gems: Learn about the Features Available to Improve your Models
Hands-on Modeling and Coding: Part 2
Putting it All Together: Introducing the Intermediate Use Case
Use Case Modeling in Colab
Wrap-up
What’s Next for Your Learning Journey: The Gurobi ML Package & OptiMods Example (Optional)
*This training was originally offered live in November 2023 with a corresponding certificate of completion for those who completed all session content. We will be offering another live training in November 2024 with a certificate path, but the on-demand training will not issue certificates due to the self-paced nature of the training content. We are excited to have you learn and upskill with us!
Did you miss Opti 101? Not a problem, as a pre-requisite, we recommend viewing all Opti 101 sessions on-demand.
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.
Jerry Yurchisin
Senior Data Science Strategist
Mr. Yurchisin has over ten years’ experience applying operations research, machine learning, statistics, and data visualization to improve decision making. Before joining Gurobi, Jerry (who also goes by Jerome) was a Senior Consultant at OnLocation, Inc. where he customized several linear programming models within the National Energy Modeling System (NEMS) to analyze implementing specific energy policies and utilizing new technologies.
Prior to OnLocation, Jerry was an Operations Research Analyst & Data Scientist at Booz Allen Hamilton for over seven years. There he formulated scheduling and staffing integer programming models for the US Coast Guard, as well as led a project to quantify the maritime risks of offshore energy installations with the Research & Development Center. Further, Jerry was the technical lead on several Coast Guard studies including Living Marine Resources and Maritime Domain Awareness, providing statistical analysis and building supervised and unsupervised machine learning models. He also performed statistical analyses, machine learning modeling, and data visualization for cyberspace directorates at DoD and DHS.
Jerry has several years of experience teaching a wide variety of college-level mathematics and statistics courses and has a passion for education. He also enjoys golfing, biking, and writing about sports from an analytics point of view. He lives in Alexandria, Virginia with his wife, son, and two dogs.
Jerry holds B.S., Ed. and M.S., Mathematics degrees from Ohio University and an M.S. in Operations Research and Statistics from The University of North Carolina at Chapel Hill.
Ehsan Khodabandeh
Principal Operations Research Scientist, Decision Spot
Ehsan is a Principal Operations Research Scientist at Decision Spot, with knowledge in logistics and transportation industries. Over the years, he has worked with several Fortune 500 companies, including GE, Norfolk Southern, and C.H. Robinson. Ehsan has worked on a variety of supply chain projects and has focused primarily on network optimization and routing.
He holds a PhD in Industrial Engineering and has been an Adjunct Lecturer at Northwestern Master of Science in Machine Learning and Data Science (MLDS) program since Fall 2019.
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.
Jerry Yurchisin
Senior Data Science Strategist
Mr. Yurchisin has over ten years’ experience applying operations research, machine learning, statistics, and data visualization to improve decision making. Before joining Gurobi, Jerry (who also goes by Jerome) was a Senior Consultant at OnLocation, Inc. where he customized several linear programming models within the National Energy Modeling System (NEMS) to analyze implementing specific energy policies and utilizing new technologies.
Prior to OnLocation, Jerry was an Operations Research Analyst & Data Scientist at Booz Allen Hamilton for over seven years. There he formulated scheduling and staffing integer programming models for the US Coast Guard, as well as led a project to quantify the maritime risks of offshore energy installations with the Research & Development Center. Further, Jerry was the technical lead on several Coast Guard studies including Living Marine Resources and Maritime Domain Awareness, providing statistical analysis and building supervised and unsupervised machine learning models. He also performed statistical analyses, machine learning modeling, and data visualization for cyberspace directorates at DoD and DHS.
Jerry has several years of experience teaching a wide variety of college-level mathematics and statistics courses and has a passion for education. He also enjoys golfing, biking, and writing about sports from an analytics point of view. He lives in Alexandria, Virginia with his wife, son, and two dogs.
Jerry holds B.S., Ed. and M.S., Mathematics degrees from Ohio University and an M.S. in Operations Research and Statistics from The University of North Carolina at Chapel Hill.
Ehsan Khodabandeh
Principal Operations Research Scientist, Decision Spot
Ehsan is a Principal Operations Research Scientist at Decision Spot, with knowledge in logistics and transportation industries. Over the years, he has worked with several Fortune 500 companies, including GE, Norfolk Southern, and C.H. Robinson. Ehsan has worked on a variety of supply chain projects and has focused primarily on network optimization and routing.
He holds a PhD in Industrial Engineering and has been an Adjunct Lecturer at Northwestern Master of Science in Machine Learning and Data Science (MLDS) program since Fall 2019.
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.
Senior Data Science Strategist
Jerry Yurchisin
Mr. Yurchisin has over ten years’ experience applying operations research, machine learning, statistics, and data visualization to improve decision making. Before joining Gurobi, Jerry (who also goes by Jerome) was a Senior Consultant at OnLocation, Inc. where he customized several linear programming models within the National Energy Modeling System (NEMS) to analyze implementing specific energy policies and utilizing new technologies.
Prior to OnLocation, Jerry was an Operations Research Analyst & Data Scientist at Booz Allen Hamilton for over seven years. There he formulated scheduling and staffing integer programming models for the US Coast Guard, as well as led a project to quantify the maritime risks of offshore energy installations with the Research & Development Center. Further, Jerry was the technical lead on several Coast Guard studies including Living Marine Resources and Maritime Domain Awareness, providing statistical analysis and building supervised and unsupervised machine learning models. He also performed statistical analyses, machine learning modeling, and data visualization for cyberspace directorates at DoD and DHS.
Jerry has several years of experience teaching a wide variety of college-level mathematics and statistics courses and has a passion for education. He also enjoys golfing, biking, and writing about sports from an analytics point of view. He lives in Alexandria, Virginia with his wife, son, and two dogs.
Jerry holds B.S., Ed. and M.S., Mathematics degrees from Ohio University and an M.S. in Operations Research and Statistics from The University of North Carolina at Chapel Hill.
Principal Operations Research Scientist, Decision Spot
Ehsan Khodabandeh
Ehsan is a Principal Operations Research Scientist at Decision Spot, with knowledge in logistics and transportation industries. Over the years, he has worked with several Fortune 500 companies, including GE, Norfolk Southern, and C.H. Robinson. Ehsan has worked on a variety of supply chain projects and has focused primarily on network optimization and routing.
He holds a PhD in Industrial Engineering and has been an Adjunct Lecturer at Northwestern Master of Science in Machine Learning and Data Science (MLDS) program since Fall 2019.
