The Mysteries and Makings of Machine Learning with Dr. Ernie Chan of QTS Cap

Does all this Machine Learning stuff really work? If it’s so good, why aren’t AI powered hedge funds printing money? And what is the difference between AI, machine learning, deep learning, machine trading, and more. Today’s guest is one that’s been at the center of the AI/MT/ML universe for over four decades. Ernie Chan runs a machine learning hedge fund at QTS Capital management, has authored 3 books – with the 4th on the way - and is the creator of PredictNow.ai. Ernie is joining us on The Derivative to talk about machine learning, decision trees, factors, and more factors, Niagara-on-the-Falls, bells & whistles becoming commonplace, Tim Hortons, the basics of machine learning, Les Miserable, ensemble approaches (diversification), classification vs regression, random forest techniques,  the merging of AI and Machine Learning, PredictNow.ai, supervised vs unsupervised learning, Harry Potter (instead of Star Wars), and the effects of machine learning on the market. Chapters: 00:00-02:45 = Intro  02:46-22:38 = Complicated Machine Learning - Going Back to Basics 22:39-38:45 = Basics of Machine Learning, ML vs AI + Unsupervised Learning  38:46-46:34 = PredictNow.Ai  46:35-01:06:07 = Take Us to QTS / You can Still Gain an Edge  01:06:08-01:10:46 = Favorites You can view and download Ernie’s QTS performance track record via the links below: QTS Capital Management, LLC. Tail Reaper, QTS Capital Management, LLC. QTS Partners, L.P. (QEP Only), QTS Capital Management, LLC. VIX Timer (QEP only), QTS Capital Management, LLC. (Chimera QEP only) Follow along with Ernie by checking out his published work, following him on LinkedIn, and taking a look at PredictNow.ai & the QTS website. And last but not least, don't forget to subscribe to The Derivative, and follow us on Twitter, or LinkedIn, and Facebook, and sign-up for our blog digest. Disclaimer: This podcast is provided for informational purposes only and should not be relied upon as legal, business, or tax advice. All opinions expressed by podcast participants are solely their own opinions and do not necessarily reflect the opinions of RCM Alternatives, their affiliates, or companies featured. Due to industry regulations, participants on this podcast are instructed not to make specific trade recommendations, nor reference past or potential profits. And listeners are reminded that managed futures, commodity trading, and other alternative investments are complex and carry a risk of substantial losses. As such, they are not suitable for all investors. For more information, visit www.rcmalternatives.com/disclaimer