In this episode, we interview Less Wright, who has set 13 records on the fast.ai leaderboard, and we talk about one of his tricks is using cutting-edge optimizers, he also developed one, which is called Ranger. He talks also about different strategies of using Deep Learning optimizers, it is worth to take those into consideration. We also tested Ranger and in our case, it also outperformed Adam/RAdam variants. Co-host is Levente Szabados. Less' LinkedIn: https://www.linkedin.com/in/less-wright-22b59017/ Ranger's article:  https://medium.com/@lessw/how-we-beat-the-fastai-leaderboard-score-by-19-77-a-cbb2338fab5c Less' medium articles: https://medium.com/@lessw  His article about Mixnet he mentions:  https://medium.com/@lessw/meet-mixnet-google-brains-new-state-of-the-art-mobile-ai-architecture-bd6c37abfa3a His Github: https://github.com/lessw2020 Co-Host: Levente Szabados https://www.linkedin.com/in/levente-szabados-76334728/ ---General Info--- Podcast's Website: http://machinelearningcafe.org/  Host's LinkedIn: https://www.linkedin.com/in/miklostoth/  Email of the host: miklos@machinelearningcafe.org ---Copyright Info--- Music is from https://filmmusic.io, intro first part is by Miklos Toth and some free garage band loops. :) intro second part: "Aces High" by Kevin MacLeod, outro "Acid Trumpet" by Kevin MacLeod (https://incompetech.com), License: CC BY (http://creativecommons.org/licenses/by/4.0/)

A New Deep Learning Optimizer called Ranger with Less Wright - 005

This is a machine-learning-focused Podcast, where we interview people in the field of Artificial Intelligence and discuss interesting technical topics of Machine Learning. In the episodes, we focus on business-related use-cases (especially with Deep Learning ) and we also try to bring some technical white papers to the ground, not forgetting on the way that there are always some people behind the technology, so we try to understand their motivation and drive.

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In this episode, our guest was Balázs Kégl who is head of AI Research at Huawei Paris. We were talking about machine learning projects from the organizational point of view. We talked about the relationship between technical and non-technical people, and why are there so many POC projects why only a few of them is productionised? So, if you are a data scientist and you cannot convince your manager or your client to create a project, you should definitely listen to this episode. Moreover, we talked about some technical stuff at the end. Connect Balazs at Linkedin: https://www.linkedin.com/in/balazskegl/  ---General Info--- About the host: Miklos Toth is a Machine Learning enthusiast who is also teaching Machine Learning and Deep Learning at international companies, working on various ML projects as an engineer. About the co-host: Levente Szabados is a Deep tech leader, consultant, and manager with a special interest in artificial intelligence, cognitive sciences, data science, and deep learning. He is teaching various ML courses at the Frankfurt School of Finance and Management. About the podcast: The podcast was created to serve the technical community with details of ML algorithms, use-cases. The episodes are recorded in Budapest, Hungary, Europe. Website of the podcast: http://machinelearningcafe.org/  Host's LinkedIn: https://www.linkedin.com/in/miklostoth/  Co-Host LinkedIn: https://www.linkedin.com/in/levente-szabados-76334728/  Write an email to the host: miklos@machinelearningcafe.org Equipment: On the host's side the show is recorded with Rode Procaster and with Roland Quad-Capture audio interface. ---Copyright Info--- Music is from https://filmmusic.io, intro first part is by Miklos Toth and some free garage band loops. :) intro second part: "Aces High" by Kevin MacLeod, outro "Acid Trumpet" by Kevin MacLeod (https://incompetech.com), License: CC BY (http://creativecommons.org/licenses/by/4.0/)      

What is beyond PoCs? ML project-hurdles you should be prepared to take with Balázs Kégl - 016

We continue with a micro-series, where we talk about alternative learning methods. In the first episode of this micro-series our guest is Dmitry Krotov, Researcher at MIT-IBM Watson AI Lab and IBM Research in Cambridge. Among many things, we will talk about an unusual learning rule, which has a degree of biological plausibility.  Find Dmitry on Linkedin: https://www.linkedin.com/in/krotovdmitry/ Paper: Unsupervised Learning by Competing Hidden Units https://arxiv.org/abs/1806.10181 Paper: Local Unsupervised Learning for Image Analysis: https://arxiv.org/abs/1908.08993 ---General Info--- About the host: Miklos Toth is a Machine Learning enthusiast who is also teaching Machine Learning and Deep Learning at international companies, working on various ML projects as an engineer. About the co-host: Levente Szabados is a Deep tech leader, consultant, and manager with a special interest in artificial intelligence, cognitive sciences, data science, and deep learning. He is teaching various ML courses at the Frankfurt School of Finance and Management. About the podcast: The podcast was created to serve the technical community with details of ML algorithms, use-cases. The episodes are recorded in Budapest, Hungary, Europe. Website of the podcast: http://machinelearningcafe.org/  Host's LinkedIn: https://www.linkedin.com/in/miklostoth/  Co-Host LinkedIn: https://www.linkedin.com/in/levente-szabados-76334728/  Write an email to the host: miklos@machinelearningcafe.org Equipment: On the host's side the show is recorded with Rode Procaster and with Roland Quad-Capture audio interface. ---Copyright Info--- Music is from https://filmmusic.io, intro first part is by Miklos Toth and some free garage band loops. :) intro second part: "Aces High" by Kevin MacLeod, outro "Acid Trumpet" by Kevin MacLeod (https://incompetech.com), License: CC BY (http://creativecommons.org/licenses/by/4.0/)

Alternative Learning Methods 01 with Dmitry Krotov - 015

In this "extra" episode, our guest is Denis Rothman, who is an Artificial Intelligence Specialist. He has spent 40 years in this industry, he is the author of the book called "Artificial Intelligence by Example". He is a teacher, a speaker, and he is an exceptional expert. He has a very special view on what software development is and how to build-up systems that may or may not use artificial intelligence. We believe he is one of the brightest minds we have ever talked to. I think if you listen to this episode you will have new viewpoints of the world. LinkedIn: https://www.linkedin.com/in/denis-rothman-0b034043/ Latest Book:  https://www.amazon.com/Artificial-Intelligence-Example-advanced-learning/dp/1839211539/ref=sr_1_1?dchild=1&keywords;=Artificial+Intelligence+by+Example&qid;=1591873875&sr;=8-1 ---General Info--- About the host: Miklos Toth is a Machine Learning enthusiast who is also teaching Machine Learning and Deep Learning at international companies, working on various ML projects as an engineer. About the co-host: Levente Szabados is a Deep tech leader, consultant, and manager with a special interest in artificial intelligence, cognitive sciences, data science, and deep learning. He is teaching various ML courses at the Frankfurt School of Finance and Management. About the podcast: The podcast was created to serve the technical community with details of ML algorithms, use-cases. The episodes are recorded in Budapest, Hungary, Europe. Website of the podcast: http://machinelearningcafe.org/  Host's LinkedIn: https://www.linkedin.com/in/miklostoth/  Co-Host LinkedIn: https://www.linkedin.com/in/levente-szabados-76334728/  Write an email to the host: miklos@machinelearningcafe.org Equipment: On the host's side the show is recorded with Rode Procaster and with Roland Quad-Capture audio interface. ---Copyright Info--- Music is from https://filmmusic.io, intro first part is by Miklos Toth and some free garage band loops. :) intro second part: "Aces High" by Kevin MacLeod, outro "Acid Trumpet" by Kevin MacLeod (https://incompetech.com), License: CC BY (http://creativecommons.org/licenses/by/4.0/)

"Monkeys with laptops" - the (hi)story of applying AI in real life with Denis Rothman - 014

In this episode, our guest was Vladimir Vlasov, who is a senior machine learning researcher at Rasa. If you don't know Rasa, it's a company that is building a standard infrastructure for conversational AI. Vladimir is working on Rasa's machine learning-based dialogue tools which allow developers to automate contextual conversations. So we were talking about state-of-the-art area of conversational AI and NLP, also briefly how Rasa’s framework is built up, and what are the technical problems to be solved, and what is the future of conversational AI. Vladimir on LinkedIn: https://www.linkedin.com/in/vladimir-vv-vlasov/ Rasa: https://rasa.com/ Conference on 18th June: https://www.l3-ai.dev YouTube channel: https://www.youtube.com/channel/UCJ0V6493mLvqdiVwOKWBODQ Algorithm Whiteboard:  https://www.youtube.com/watch?v=wWNMST6t1TA&list;=PL75e0qA87dlG-za8eLI6t0_Pbxafk-cxb Using Neural Networks to Find Answers in Tables:  https://ai.googleblog.com/2020/04/using-neural-networks-to-find-answers.html  ---General Info--- About the host: Miklos Toth is a Machine Learning enthusiast who is also teaching Machine Learning and Deep Learning at international companies, working on various ML projects as an engineer. About the co-host: Levente Szabados is a Deep tech leader, consultant, and manager with a special interest in artificial intelligence, cognitive sciences, data science, and deep learning. He is teaching various ML courses at the Frankfurt School of Finance and Management. About the podcast: The podcast was created to serve the technical community with details of ML algorithms, use-cases. The episodes are recorded in Budapest, Hungary, Europe. Website of the podcast: http://machinelearningcafe.org/  Host's LinkedIn: https://www.linkedin.com/in/miklostoth/  Co-Host LinkedIn: https://www.linkedin.com/in/levente-szabados-76334728/  Write an email to the host: miklos@machinelearningcafe.org Equipment: On the host's side the show is recorded with Rode Procaster and with Roland Quad-Capture audio interface. ---Copyright Info--- Music is from https://filmmusic.io, intro first part is by Miklos Toth and some free garage band loops. :) intro second part: "Aces High" by Kevin MacLeod, outro "Acid Trumpet" by Kevin MacLeod (https://incompetech.com), License: CC BY (http://creativecommons.org/licenses/by/4.0/)

Conversational AI at Rasa with Vladimir Vlasov - 013

In this episode, our guest is Eugene Dubossarsky, who is the chief data scientist at AlphaZetta and co-founder at multiple data science companies in Australia. He is a managing partner of the Global Training Academy and he is teaching too. Eugene is dealing with machine learning since the 80s, so you can imagine he has a very strong opinion about different topics in this industry. We talked about random forests, neural nets, boosting strategies, the importance of understanding data and statistics. We couldn't skip talking about the effects of the current and upcoming crisis either.  Eugene's LinkedIn: https://www.linkedin.com/in/eugene-dubossarsky-09208a1/ AlphaZetta: https://alphazetta.ai/ Reask Track cyclons: https://reask.earth/ The Prediction Machines book: https://www.predictionmachines.ai/ Hopfield network: https://en.wikipedia.org/wiki/Hopfield_network Bengio talk:  https://slideslive.com/38922304/from-system-1-deep-learning-to-system-2-deep-learning Finnian Lattimore and Cheng Soon Ong Paper https://arxiv.org/pdf/1806.01488.pdf  ---General Info--- About the host: Miklos Toth is a Machine Learning enthusiast who is also teaching Machine Learning and Deep Learning at international companies, working on various ML projects as an engineer. About the co-host: Levente Szabados is a Deep tech leader, consultant, and manager with a special interest in artificial intelligence, cognitive sciences, data science, and deep learning. He is teaching various ML courses at the Frankfurt School of Finance and Management. About the podcast: The podcast was created to serve the technical community with details of ML algorithms, use-cases. The episodes are recorded in Budapest, Hungary, Europe. Website of the podcast: http://machinelearningcafe.org/  Host's LinkedIn: https://www.linkedin.com/in/miklostoth/  Co-Host LinkedIn: https://www.linkedin.com/in/levente-szabados-76334728/  Write an email to the host: miklos@machinelearningcafe.org Equipment: On the host's side the show is recorded with Rode Procaster and with Roland Quad-Capture audio interface. ---Copyright Info--- Music is from https://filmmusic.io, intro first part is by Miklos Toth and some free garage band loops. :) intro second part: "Aces High" by Kevin MacLeod, outro "Acid Trumpet" by Kevin MacLeod (https://incompetech.com), License: CC BY (http://creativecommons.org/licenses/by/4.0/)

A New Deep Learning Optimizer called Ranger with Less Wright - 005

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