Online learning is better than batch, right? Wrong! (Ep. 200)

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. doi:10.1145/41457.37515. ISBN 089791242X. S2CID 7739589.  

Streaming data with ease. With Chip Kent from Deephaven Data Labs (Ep. 198)

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-DmOMWDAvXv_pNDUlVkagLQ GitHub: Deephaven Community Core - https://github.com/deephaven/deephaven-core Barrage - https://github.com/deephaven/barrage Deephaven web components - https://github.com/deephaven/web-client-ui YouTube Channel - https://www.youtube.com/channel/UCoaYOlkX555PSTTJz8ZaI_w Blog posts  Real-time classification with Deephaven and SciKit-Learn - https://deephaven.io/blog/2022/02/02/learn-scikit/ Display a quadrillion rows of data in the browser - https://deephaven.io/blog/2022/01/24/displaying-a-quadrillion-rows/ A performance comparison between Materialize and Deephaven - https://deephaven.io/blog/2022/03/05/deephaven-materialize-study/ Careers https://deephaven.io/company/careers/ Community Slack http://deephaven.io/slack. 

Learning from data to create personalized experiences with Matt Swalley from Omneky (Ep. 197)

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 ads https://www.omneky.com/ Data Science at Home Podcast (Live) https://www.twitch.tv/datascienceathome

Improving your AI by finding issues within data pockets (Ep. 195)

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 of customer success at Mona, the leading AI monitoring intelligence company, Itai has a unique view of the AI industry. Working closely with data science and ML teams applying dozens of AI solutions in over 10 industries, Itai encounters the wide variety of business use-cases, organizational structures and cultures, and technologies and tools used in today’s AI world.   References https://www.monalabs.io  

Fake data that looks, feels, and behaves like production.(Ep.194)

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

Batteries and AI in Automotive (Ep. 193)

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 https://www.didiglobal.com/ https://waymo.com/ https://group.mercedes-benz.com/ https://www.fakultaet73.de https://www.bmw.de https://www.volkswagen.de https://cariad.technology/  

Bayesian Machine Learning with Ravin Kumar (Ep. 191)

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 rocket ships. All opinions in this episode are his own and none of the companies he has worked for are represented.   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 their API and more. Just tell them you came through Data Science at Home podcast.   and by Amethix Technologies Amethix use advanced Artificial Intelligence and Machine Learning to build data platforms and predictive engines in domain like finance, healthcare, pharmaceuticals, logistics, energy. Amethix provide solutions to collect and secure data with higher transparency and disintermediation, and build the statistical models that will support your business.     References Bayesian Modeling and Computation in Python (Chapman & Hall/CRC Texts in Statistical Science) amazon.com Bayesian Modeling and Computation in Python https://twitter.com/canyon289    

What is spatial data science? With Matt Forest from Carto (Ep. 190)

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 their API and more. Just tell them you came through Data Science at Home podcast.   and by Amethix Technologies Amethix use advanced Artificial Intelligence and Machine Learning to build data platforms and predictive engines in domain like finance, healthcare, pharmaceuticals, logistics, energy. Amethix provide solutions to collect and secure data with higher transparency and disintermediation, and build the statistical models that will support your business.   References Carto https://carto.com Spatial Feature Engineering: https://geographicdata.science/book/intro.html CARTO Blog: https://carto.com/blog/ Spatial SQL Resources: https://forrest.nyc/learn-spatial-sql/ Spatial Data Science: https://forrest.nyc/geospatial-python  

Connect. Collect. Normalize. Analyze. An interview with the people from Railz AI (Ep. 189)

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 accounting platforms to provide you with quick access to normalized and analyzed financial data.   Sponsored 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 Amethix Technologies Amethix use advanced Artificial Intelligence and Machine Learning to build data platforms and predictive engines in domain like finance, healthcare, pharmaceuticals, logistics, energy. Amethix provide solutions to collect and secure data with higher transparency and disintermediation, and build the statistical models that will support your business.   References Railz Homepage: https://go.railz.ai/Railz-DSH Railz API Document: https://go.railz.ai/RailzAPI-DSH Railz API Signup: https://go.railz.ai/RailzSignup-DSH Railz Startup Pricing: https://go.railz.ai/RailzStartupPricing-DSH Railz Careers: https://secure.collage.co/jobs/railz 

History of data science [RB] (Ep. 188)

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 deploy AI projects in one place, including easy-to-use data preparation and pipelines, AutoML, and advanced automation.   Sponsored 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 Amethix Technologies Amethix use advanced Artificial Intelligence and Machine Learning to build data platforms and predictive engines in domain like finance, healthcare, pharmaceuticals, logistics, energy. Amethix provide solutions to collect and secure data with higher transparency and disintermediation, and build the statistical models that will support your business.   References www.historyofdatascience.com