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Blog posts tagged
"Kubeflow News"


anaqvi
28 October 2019

Digest #2019.10.28 – AI for Biodiversity Research

Ubuntu Kubeflow

AI for Biodiversity Research – Google, in collaboration with Global Biodiversity Information Facility (GBIF), iNaturalist, and Visipedia is making a push to bring AI to biodiversity research. While ML is prevalent in biodiversity research, proper attribution and oversight is a hit or miss. Google is hoping to bridge the gap and raise the ...


anaqvi
14 October 2019

Digest #2019.10.14 – The Ultimate Learning Machine

Ubuntu Kubeflow

The Ultimate Learning Machine – Babies… This article dives into how machines are trained and their motivation for learning compared to a human baby. Guess what… babies learn faster, require less data and have a power that machines don’t – curiosity! The AI lab at UC Berkeley is trying to innovate with AI to mimic ...


anaqvi
7 October 2019

Digest #2019.10.07 – Machine Learning in Space? Agriculture?

AI Machine Learning

How NASA uses Machine Learning – If you think the Earth is the only planet with Machine Learning you were wrong. The Mars Rover learning its path and environment at Mars? The healthcare needs for future astronauts? Planet exploration and discovery? Robotic astronaut!? All of these are questions NASA is experimenting and researching with M ...


anaqvi
30 September 2019

Digest #2019.09.30 – Making the Most of Machine Learning

Kubeflow Machine Learning

Understanding Fairness in Machine Learning – This article is a great reminder and defense for the statement, “the data speaks for itself.” Biases in training models affect the results of analyses. It is essential to understand how our models make decisions to tackle this bias by adding more balanced training data. Knowledge of biases in ...


anaqvi
23 September 2019

Digest #2019.09.23 – Machine Learning is the word…

Ubuntu Machine Learning

MLOps, Rise of the Term: Most of us by now have heard this word frequenting around; MLOps, or Machine Learning Operations.. This is an interesting article on the rise of the term and the challenges actually faced by teams working cross-functionally and dealing with Machine Learning. It talks about the limitation of managed solutions for ...


anaqvi
16 September 2019

Digest #2019.09.16 – The State of AI and ML

Ubuntu Article

Machine Learning and AI in 2019: A recent survey conducted by Dresner Advisory Services shows Machine Learning and AI to rank as highest priority for enterprises. R&D, Marketing, Sales, Insurance, Fintech, Telco, Retail and Healthcare enterprise rank machine learning as their biggest bet and believe it is critical to their success. “2019 ...


Carmine Rimi
9 September 2019

Digest #2019.09.09 – Machine Learning on a Budget

AI Article

How To Develop Successful Machine Learning Projects On A Budget – A quick journey through some of the principles for a successful AI getting started project. The article includes an example of how to go from nothing to something – from data pipeline creation to models in production. The primary focus is on a model ...


Carmine Rimi
2 September 2019

Digest #2019.09.02 – The why of Kubeflow

AI Article

AI Tales: Building Machine learning pipeline using Kubeflow and Minio – Understand the Kubeflow value proposition in an entertaining format. The story starts with Joe, the neighbourhood Machine learning enthusiast. Joe reads a few things, becomes an expert, and then the real fun begins. He quickly runs into problems with portability, DevO ...


Carmine Rimi
26 August 2019

Digest #2019.08.26 – Kubeflow basics, TensorFlow 2.0

AI Article

Kubeflow for Poets – This article introduces the core concepts necessary to understand all of the moving pieces in a Kubeflow based machine learning Pipeline. It includes a brief introduction to microservices, Docker, Kubeflow, Kubernetes, virtualisation, Google cloud and more. Read this article for step-by-step low level interaction with ...


Carmine Rimi
20 August 2019

How AI is changing Recruiting

AI Article

How AI Is Changing The Game For Recruiting – In this use case spotlight, we review how machine learning toolkits like Kubeflow and AI are changing the recruiting industry. Talent acquisition is expensive, and getting it wrong is more expensive. AI can helping improve talent acquisition efficiency and effectiveness. From finding the right ...


Carmine Rimi
19 August 2019

Digest #2019.08.19 – Kubeflow at CERN

AI Article

Replicating Particle Collisions at CERN with Kubeflow – this post is interesting for a number of reasons. First, it shows how Kubeflow delivers on the promise of portability and why that matters to CERN. Second, it reiterates that using Kubeflow adds negligible performance overhead as compared to other methods for training. Finally, the p ...


Carmine Rimi
12 August 2019

Digest #2019.08.12 – The Kubeflow Machine Learning Toolkit

AI Article

Kubeflow — a machine learning toolkit for Kubernetes – An introduction to Kubeflow from the perspective of a data scientist. This article quickly runs through some key components – Notebooks, Model Training, Fairing, Hyperparameter Tuning (Katib), Pipelines, Experiments, and Model Serving. If you are looking for a quick overview, give thi ...