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data-science

Thanks for reading. Here you will find a huge range of information in text, audio and video on topics such as Data Science, Data Engineering, Machine Learning Engineering, DataOps and much more. The show notes for “Data Science in Production” are also collated here.

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Recent Blogs

Docker for Data Science: Docker Fundamentals
Why do we need Docker? I have worked in software development for a while and in that time I...
Comparing deployment options for Machine Learning Models in Azure
Last week I delivered a training session on how to deploy machine learning models in Azure. We...
Data Science In Production Episode 5: Data Lakes for Data Science
Hey Productionaneers, In this podcast we explore the concept of data lakes. Data lakes are a...
Data Science In Production Episode 4: #MLFlow with Matei Zaharia
Hey Productionaneers, In this podcast I was able to catch-up with a tech giant Matei Zaharia....
Getting started with #MLFlow in Azure Databricks
MLFlow in Azure Databricks just went in to public preview yesterday. Here is a video which...
Machine Learning: From Model to Production with the Cloud, Containers...
Hello, On April 26th I will delivering a full day about Machine Learning in Exeter. The...
What is Project BrainWave? #Microsoft #DeepLearning
Project Brainwave is a new way of doing inference with Deep Learning from Microsoft. Below is...
Data Science In Production Episode 3: Version control for Data Science
Hello Productionaneers (that might need work). Is this podcast for you? Is all you code in...
Data Science In Production Episode 2: Deploying Deep Learning models...
Earlier in December I was able to catch up with two incredible Data Scientists and Machine...
Monte Carlo models In Python
We were talking to a customer about the types of Machine Learning and experiments they were...
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    10 Incredibly Useful Time Series Forecasting Algorithms

    Azure OpenAI vs OpenAI: What's the Difference?

    What's in a name? Naming your Fabric artifacts

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