Data Science at Home

If you think that the problem of self-driving cars has been solved, think twice. As a matter of fact, the problem of self-driving cars cannot be solved with the technical solutions that companies are currently considering. Don't get fooled by marketing and PR on social media. Whoever is telling you they solved the problem of driving a vehicle fully autonomously, they are lying. Here is why.   Our...

Let's look at the history of data platforms. How did they evolve? Why? Shall I switch to the latest architecture? Enjoy the show!   Our Sponsors Explore the Complex World of Regulations. Compliance can be overwhelming. Multiple frameworks. Overlapping requirements. Let Arctic Wolf be your guide. Check it out at https://arcticwolf.com/datascience   Amethix works to create and maximize the impact of...

Companies and other business entities are actively involved in defining data products and applied research every year. Academia has always played a role in creating new methods and solutions/algorithms in the fields of machine learning and artificial intelligence. However, there is doubt about how powerful and effective such research efforts are. Is studying AI in academia a waste of time?   Our S...

There are many solutions to private machine learning. I am pretty confident when I say that the one we are speaking in this episode is probably one of the most feasible and reliable. I am with Daniel Huynh, CEO of Mithril Security,  a graduate from Ecole Polytechnique with a specialisation in AI and data science. He worked at Microsoft on Privacy Enhancing Technologies under the office of the CTO...

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That deep learning alone is not sufficient to solve artificial general intelligence, is more and more accepted statement. Generalist agents have great properties that can overcome some of the limitations of single-task deep learning models. Be aware, we are still far from AGI, though.   So what are generalist agents?   References https://arxiv.org/pdf/2205.06175    

How does an autonomous vehicle see? How does it sense the road? They are equipped of many sensors, of course. Are they all powerful enough? Small enough to hide them and make your car look beautiful?  In this episode I speak about LIDAR, high resolution cameras and some machine learning methods adapted to a minimal number of sensors.   Our Sponsors Ready to advance your career in data science? Uni...

Sometimes applications crash. Some other times applications crash because memory is exhausted. Such issues exist because of bugs in the code, or heavy memory usage for reasons that were not expected during design and implementation. Can we use machine learning to predict and eventually detect out of memory kills from the operating system? Apparently, the Netflix app many of us use on a daily basis...

Companies and other business entities are actively involved in defining data products and applied research every year. Academia has always played a role in creating new methods and solutions/algorithms in the fields of machine learning and artificial intelligence. However, there is doubt about how powerful and effective such research efforts are. Is studying AI in academia a waste of time?   Our S...

Neural networks are becoming massive monsters that are hard to train (without the "regular" 12 last-generation GPUs). Is there a way to skip that? Let me introduce you to Zero-Cost proxies     References https://www.technologyreview.com/2022/08/05/1056814/automation-ai-machine-learning-automl/ https://iclr-blog-track.github.io/2022/03/25/zero-cost-proxies/

In this episode I speak about online learning systems and why blindly choosing such a paradigm can lead to very unpredictable and expensive outcomes. Also in this episode, I have to deal with an intruder :)     Links Birman, K.; Joseph, T. (1987). "Exploiting virtual synchrony in distributed systems". Proceedings of the Eleventh ACM Symposium on Operating Systems Principles - SOSP '87. pp. 123–138...

That deep learning alone is not sufficient to solve artificial general intelligence, is more and more accepted statement. Generalist agents have great properties that can overcome some of the limitations of single-task deep learning models. Be aware, we are still far from AGI, though.   So what are generalist agents?   References https://arxiv.org/pdf/2205.06175    

In this episode, I am with Chip Kent, chief data scientist at Deephaven Data Labs . We speak about streaming data, real-time, and other powerful tools part of the Deephaven platform.   Links Deephaven - https://deephaven.io Deephaven Community Core Documentation - ​​ https://deephaven.io/core/docs/ Deephaven Community Slack - https://join.slack.com/t/deephavencommunity/shared_invite/zt-11x3hiufp-D...

In this episode I speak with Matt Swalley, Chief Business Officer of Omneky , an AI platform that generates, analyzes and optimizes personalized ad creatives at scale. We speak about the way AI is used for generating customized recommendation and creating experiences with data aggregation and analytics. And yes! respecting the privacy of individuals.   Links Grow your business with personalized ad...

Let's take a break and think about the state of AI in 2022. In this episode I summarize the long report from the Stanford Institute for Human-Centered Artificial Intelligence (HAI) Enjoy! References https://spectrum.ieee.org/artificial-intelligence-index  

In this episode I have a conversation with, Itai Bar-Sinai, CPO & Cofounder of Mona. We speak about several interesting points about data and monitoring. Why is AI monitoring so different from monitoring classic software? How to reduce the gap between data science and business? What is the role of MLOps in the data monitoring field? With over 10 years of experience with AI and as the CPO and head...

I am with Ander Steele, data scientist and mathematician with a passion for privacy and Shannon Bayatpur, product manager with a background in technical writing and computer science, from Tonic.ai. We speak about data. Fake data. But all we say is authentic.   Links Tonic website   Career page Neural networks for synthetic data

In this episode my friend and I speak about AI, batteries and automotive. Dennis Berner, founder of Digitlabs has been operating in the field of automotive and batteries for a long time. His point of views are absolutely a must to listen to. Below a list of the links he mentioned in the show. https://amethix.com https://digitlabs.com https://www.moia.io https://www.elli.eco https://www.uber.com ht...

In this episode I speak with Manavalan Krishnan from Tsecond about capturing massive amounts of data at the edge with security and reliability in mind.   This episode is brought to you by NordVPN NordVPN protects your privacy while you are online. Get secure and private access to the internet by surfing nordvpn.com/DATASCIENCE or use coupon code DATASCIENCE and get a massive discount. and by Ameth...

This is one episode where passion for math, statistics and computers are merged. I have a very interesting conversation with Ravin,  data scientist at Google where he uses data to inform decisions. He has previously worked at Sweetgreen, designing systems that would benefit team members and communities through sustainable and healthy food, and SpaceX, creating tools that would ultimately launch ro...

In this episode I am with Matt Forrest, VP of Solutions Engineering at Carto. We speak about machine learning applied to spatial data, spatial SQL and GIS (Geographic Information System). Enjoy the show!   This episode is brought to you by RailzAI The Railz API connects to major accounting platforms to provide you with quick access to normalized and analyzed financial data. Get free access to thei...

In this episode I am with Pasha Zavari - Director of Data Science and Derek Manuge - Co-founder and CTO at Railz. Railz is a very interesting company with an incredible mission: normalizing and extracting insights from the most tedious data out there, financial data. Guess what technology stack are they on? Enjoy the show!   This episode is brought to you by RailzAI The Railz API connects to major...

How did we get here? Who invented the methods data scientists use every day? We answer such questions and much more in this wonderful episode with Triveni Gandhi, Senior Data Scientist and Shaun McGirr, AI Evangelist at Dataiku . We cover topics about the history of data science, ethical AI and...   This episode is brought to you by Dataiku With Dataiku, you have everything you need to build and d...

In this episode I speak about AI and cloud automation with Leon Kuperman, co-founder and CTO at CAST AI. Formerly Vice President of Security Products OCI at Oracle, Leon’s professional experience spans across tech companies such as IBM, Truition, and HostedPCI. Enjoy the episode!   Chat with me Join us on Discord community chat to discuss the show, suggest new episodes and chat with other listener...

This is the last episode of the series "Embedded ML" and I made it for the bravest :) I speak about machine learning compiler optimization to a much greater detail. Enjoy the episode!   Chat with me Join us on Discord community chat to discuss the show, suggest new episodes and chat with other listeners!   Sponsored by Amethix Technologies Amethix use advanced Artificial Intelligence and Machine L...