Become a Machine Learning Expert in Under an Hour

Become a Machine Learning Expert in Under an Hour - Show Notes Special guest Domenic Puzio! Naturally you are excited about Machine Learning/ Deep Learning and you would love to join the party! After all, AI is going to revolutionize, in one way or another, almost everything we thought we knew about - everything! But what is the fastest way to enter the field of modern AI? Our guest, Domenic is getting ready to speak at SXSW for a talk is titled "How to Become a Machine Learning Expert in Under an Hour". It's a crash course in all things Machine Learning/ Deep Learning. This podcast is an 80/20 analysis to help new folks get up to speed on ML/DL fast, with no wasted effort or obsoleted information. The field is evolving so rapidly that yesterday's best practices are obsolete almost before the ink is dry. " As the AI revolution finds its value-creating ways into every part of our lives, we chat about rarely covered topics such as hype vs reality. " Where is AI technology headed next, thanks to cheap processing power and abundant online data streams and huge data corpii which are growing daily? " How can AI solve the data overload problems for business, government, defense, research and in our personal lives? Highlights: " Dominick's background as a hands-on ML practitioner. " Classic ML applications & examples o ML for Cybersecurity. o Types of datasets (North-South, East-West) and recommended moves for Cybersecurity applications using AI " Best ways and resources to get started now (Andrew N? Ian G's book? Or jumping feet first with a Hello World). " What is the "Golden Certification" a groundbreaking new credential to demonstrate you know AI end-to-end. " What ML/DL framework is the best for getting started? o Should I start out on a high-end gamer laptop with Nvidia GPU? (Hint: NO!) " Math. What do I need to know now? (Hint: just-in-time learning and the important role of intuitive understanding vs formalism in AI math) " Demystifying things. What is going on under the hood of neural networks. Are we close to Skynet? " How does this scale to a large global company or agency with legacy infrastructure? And how to a show AI value quickly. " How do we implement enterprise Machine Learning/ Deep Learning behind the firewall in a security conscious environment? How do we securely train models and what are some best practices? Links: Become a Deep Learning Coder from Scratch in Under a Year https://lifehacker.com/become-a-deep-learning-coder-from-scratch-in-under-a-ye-1822763353 How to learn Deep Learning in 6 months https://towardsdatascience.com/how-to-learn-deep-learning-in-6-months-e45e40ef7d48 How do I learn deep learning in 2 months? https://www.quora.com/How-do-I-learn-deep-learning-in-2-months Become a Machine Learning Expert in Under an Hour https://medium.com/capitalonetech/become-a-machine-learning-expert-in-under-an-hour-8437939ae1e2 Solutions for government and defense contractors http://federal.ai Solutions for mid and large cap commercial customers http://machinelrn.com Social Media and Contact Info: Domenic's LinkedIn profile https://www.linkedin.com/in/domenicpuzio/ Domenic on Twitter https://twitter.com/MachineLearnMe MachineLrn and MachineLrnRadio on Twitter https://twitter.com/Machine_lrn and https://twitter.com/MachineLrnRadio Lloyd's "TensorPro" study group on Facebook https://www.facebook.com/groups/1749618838685711/