Model Selection and Boosting with XGBoost
XGBoost is an implementation of gradient boosted decision trees designed for speed and performance.
In this webinar, we will discover XGBoost and get a gentle introduction to what is, where it came from and how you can learn more.
What XGBoost is and the goals of the project.
Why XGBoost must be apart of your machine learning toolkit.
Where you can learn more to start using XGBoost on your next machine learning project.
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What is the Price:
THIS IS FREE.
Meet Your Presenter:
Navin Singh holds two Graduate degrees, Master in Computer Sciences and Application and Master in Advanced Electronics. He has his undergraduate degree majoring in Mathematics and Statistics. He has been continuously working in the field of Big Data and Artificial Intelligence.
He has worked on many Implementation projects with many Fortune 100 companies like MasterCard, GE, Cisco, Brocade, Nissan and helped Government Organization like Accountant General, Counties, Health, and Human Services to achieve their financial Data management and reporting. Navin is a Marathon runner and has done his 15th Marathon. Currently, he is involved in the research on Next Generation AI and Sigma trading algorithms.
He is a hands-on technology architect with great exposure to most of the data and AI technologies. His passion is to support the next generation of engineers and data scientists and push them to achieve the highest level of excellence.
COSO IT is a global company started in 2008 to provide products and services in Big Data and Artificial Intelligence. To learn more about COSO IT, visit www.cosoit.com or browse carrier opportunity on https://www.cosoit.com/current-openings