this & this 46:03（00:42:36 - 00:58:44）
“What To Do Before Machine Learning” with Dr. Ernie Chan
“What To Do Before Machine Learning”
There is a great temptation to just let a deep neural net loose on your financial data and let it spit out returns predictions. This webinar will show you how to resist that temptation. Ernie Chan will discuss steps such as coming up with the simplest baseline...
“What To Do Before Machine Learning”
There is a great temptation to just let a deep neural net loose on your financial data and let it spit out returns predictions. This webinar will show you how to resist that temptation. Ernie Chan will discuss steps such as coming up with the simplest baseline models that financial machine learners often impatiently omit in their workflow.
About the Speaker:
Dr. Ernest Chan is the Managing Member of QTS Capital Management, LLC., a commodity pool operator and trading advisor. He began his career as a machine learning researcher at IBM’s Human Language Technologies Group, and later joined Morgan Stanley’s Data Mining Group. He was also a quantitative researcher and proprietary trader for Credit Suisse. Ernie is the author of “Machine Trading”, “Algorithmic Trading”, and “Quantitative Trading”, all published by Wiley, and a popular financial blogger at epchan.blogspot.com. He also teaches at the Master of Science in Predictive Analytics program at Northwestern University. He received his Ph.D. in theoretical physics from Cornell University.
Disclaimer
Quantopian provides this presentation to help people write trading algorithms - it is not intended to provide investment advice.
More specifically, the material is provided for informational purposes only and does not constitute an offer to sell, a solicitation to buy, or a recommendation or endorsement for any security or strategy, nor does it constitute an offer to provide investment advisory or other services by Quantopian.
In addition, the content neither constitutes investment advice nor offers any opinion with respect to the suitability of any security or any specific investment. Quantopian makes no guarantees as to accuracy or completeness of the views expressed in the website. The views are subject to change, and may have become unreliable for various reasons, including changes in market conditions or economic circumstances.
#finance #quantitative finance #risk #risk analysis #math #statistics #algorithms #algorithmic trading #machine learning #ernie chan #dr ernie chan #before machine learning #webinar #live webinar
“What To Do Before Machine Learning”
There is a great temptation to just let a deep neural net loose on your financial data and let it spit out returns predictions. This webinar will show you how to resist that temptation. Ernie Chan will discuss steps such as coming up with the simplest baseline...
There is a great temptation to just let a deep neural net loose on your financial data and let it spit out returns predictions. This webinar will show you how to resist that temptation. Ernie Chan will discuss steps such as coming up with the simplest baseline...
“What To Do Before Machine Learning”
There is a great temptation to just let a deep neural net loose on your financial data and let it spit out returns predictions. This webinar will show you how to resist that temptation. Ernie Chan will discuss steps such as coming up with the simplest baseline models that financial machine learners often impatiently omit in their workflow.
About the Speaker:
Dr. Ernest Chan is the Managing Member of QTS Capital Management, LLC., a commodity pool operator and trading advisor. He began his career as a machine learning researcher at IBM’s Human Language Technologies Group, and later joined Morgan Stanley’s Data Mining Group. He was also a quantitative researcher and proprietary trader for Credit Suisse. Ernie is the author of “Machine Trading”, “Algorithmic Trading”, and “Quantitative Trading”, all published by Wiley, and a popular financial blogger at epchan.blogspot.com. He also teaches at the Master of Science in Predictive Analytics program at Northwestern University. He received his Ph.D. in theoretical physics from Cornell University.
Disclaimer
Quantopian provides this presentation to help people write trading algorithms - it is not intended to provide investment advice.
More specifically, the material is provided for informational purposes only and does not constitute an offer to sell, a solicitation to buy, or a recommendation or endorsement for any security or strategy, nor does it constitute an offer to provide investment advisory or other services by Quantopian.
In addition, the content neither constitutes investment advice nor offers any opinion with respect to the suitability of any security or any specific investment. Quantopian makes no guarantees as to accuracy or completeness of the views expressed in the website. The views are subject to change, and may have become unreliable for various reasons, including changes in market conditions or economic circumstances.
#finance #quantitative finance #risk #risk analysis #math #statistics #algorithms #algorithmic trading #machine learning #ernie chan #dr ernie chan #before machine learning #webinar #live webinar
There is a great temptation to just let a deep neural net loose on your financial data and let it spit out returns predictions. This webinar will show you how to resist that temptation. Ernie Chan will discuss steps such as coming up with the simplest baseline models that financial machine learners often impatiently omit in their workflow.
About the Speaker:
Dr. Ernest Chan is the Managing Member of QTS Capital Management, LLC., a commodity pool operator and trading advisor. He began his career as a machine learning researcher at IBM’s Human Language Technologies Group, and later joined Morgan Stanley’s Data Mining Group. He was also a quantitative researcher and proprietary trader for Credit Suisse. Ernie is the author of “Machine Trading”, “Algorithmic Trading”, and “Quantitative Trading”, all published by Wiley, and a popular financial blogger at epchan.blogspot.com. He also teaches at the Master of Science in Predictive Analytics program at Northwestern University. He received his Ph.D. in theoretical physics from Cornell University.
Disclaimer
Quantopian provides this presentation to help people write trading algorithms - it is not intended to provide investment advice.
More specifically, the material is provided for informational purposes only and does not constitute an offer to sell, a solicitation to buy, or a recommendation or endorsement for any security or strategy, nor does it constitute an offer to provide investment advisory or other services by Quantopian.
In addition, the content neither constitutes investment advice nor offers any opinion with respect to the suitability of any security or any specific investment. Quantopian makes no guarantees as to accuracy or completeness of the views expressed in the website. The views are subject to change, and may have become unreliable for various reasons, including changes in market conditions or economic circumstances.
#finance #quantitative finance #risk #risk analysis #math #statistics #algorithms #algorithmic trading #machine learning #ernie chan #dr ernie chan #before machine learning #webinar #live webinar
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