About this Show
Data Science at Home is a podcast about machine learning, artificial intelligence and algorithms. 
The show is hosted by Dr. Francesco Gadaleta on solo episodes and interviews with some of the most influential figures in the field
Technology, AI, machine learning and algorithms. Come join the discussion on Discord! https://discord.gg/4UNKGf3

Friday Apr 01, 2022
Friday Apr 01, 2022
Friday Apr 01, 2022
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/
 
![Collect data at the edge [RB] (Ep. 192)](https://pbcdn1.podbean.com/imglogo/image-logo/1799802/dsh-cover-2_300x300.jpg)
Friday Mar 25, 2022
Friday Mar 25, 2022
Friday Mar 25, 2022
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 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
https://tsecond.us/company/manavalan-krishnan/
 

Saturday Mar 19, 2022
Saturday Mar 19, 2022
Saturday Mar 19, 2022
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
 
 

Wednesday Mar 02, 2022
Wednesday Mar 02, 2022
Wednesday Mar 02, 2022
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
 

Tuesday Feb 22, 2022
Tuesday Feb 22, 2022
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)](https://pbcdn1.podbean.com/imglogo/image-logo/1799802/dsh-cover-2_300x300.jpg)
Wednesday Feb 16, 2022
Wednesday Feb 16, 2022
Wednesday Feb 16, 2022
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
 

Tuesday Feb 08, 2022
Tuesday Feb 08, 2022
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 listeners!
 
Sponsored 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.
 
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.
 
References
https://cast.ai/
Cloud automation https://cast.ai/blog/cloud-automation-in-2021-the-new-normal-in-the-tech-industry/ 
Cloud cost management https://cast.ai/blog/cloud-cost-management-alone-wont-fix-your-cloud-spend-problem/
Case study on how gross margin could be increased by cloud automation https://cast.ai/blog/the-hidden-shortcut-to-increasing-fintech-gross-margins-cloud-automation/
 
 

Thursday Feb 03, 2022
Thursday Feb 03, 2022
Thursday Feb 03, 2022
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 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.
 
Links
Amethix Embedded Machine Learning
https://tvm.apache.org/
 

Tuesday Jan 25, 2022
Tuesday Jan 25, 2022
Tuesday Jan 25, 2022
In this episode I speak about machine learning compilers, the most important tools to bridge the gap between high level frontends, ML backends and hardware target architectures.
There are several compilers one can choose. Before that, let's get familiar with what a compiler is supposed to do.
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 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.
 
Links
Amethix Embedded Machine Learning
https://tvm.apache.org/
https://github.com/pytorch/glow
https://docs.nvidia.com/cuda/cuda-compiler-driver-nvcc/index.html
 
 
 
 

Thursday Jan 20, 2022
Thursday Jan 20, 2022
Thursday Jan 20, 2022
In this episode I speak about neural network quantization, a technique that makes networks feasible for embedded systems and small devices.
There are many quantization techniques depending on several factors that are all important to consider during design and implementation.
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 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.
 
Links
Amethix Embedded Machine Learning
Introduction to quantization on Pytorch
 
 
 

Data Science at Home is the top-10 best data science podcasts on Apple Podcasts, Spotify, Stitcher, Podbean and many more aggregators. 
We reach our audience on a weekly basis via 30-minute episodes enriched with blog posts and show notes. Our episodes reach a highly targeted audience across a wide demographics and globally distributed.
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Data Science at Home is a podcast about machine learning, artificial intelligence and algorithms. 
The show is hosted by Dr. Francesco Gadaleta on solo episodes and interviews with some of the most influential figures in the field