Data mining and machine learning software

Kubeflow

Kubeflow is a free and open-source platform for machine learning on Kubernetes. The Kubeflow project has multiple distinct software components which each address specific stages of the machine learning lifecycle, including model development, model training , model serving, and automated machine learning. Each component of Kubeflow can be deployed separately, and it is not a requirement to deploy every component. (Wikipedia).

Kubeflow
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Real-Life Kubernetes 1: What is Kubernetes?

Part 1 of a Kubernetes course for sysadmins and other competent beginners. Kubernetes is a container scheduler and orchestrator, service registry, release management tool, secrets management tool, container networking layer, and a few other things. This video explains how it's different fr

From playlist Kubernetes

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Webinar: MLOps automation with Git Based CI/CD for ML

Deploying AI/ML based applications is far from trivial. On top of the traditional DevOps challenges, you need to foster collaboration between multidisciplinary teams (data-scientists, data/ML engineers, software developers and DevOps), handle model and experiment versioning, data versionin

From playlist Papers Explained

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ChefConf 2018 - Chef + Google Kubernetes Engine by Alex Stephen

Chef + Google Kubernetes Engine by Alex Stephen

From playlist ChefConf 2018

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Kubernetes Controllers and Services | Kubernetes Service Types | Kubernetes Training | Edureka

๐Ÿ”ฅEdureka Kubernetes Certification Training (๐”๐ฌ๐ž ๐‚๐จ๐๐ž: ๐˜๐Ž๐”๐“๐”๐๐„๐Ÿ๐ŸŽ): https://www.edureka.co/kubernetes-certification This Edureka video on ๐Š๐ฎ๐›๐ž๐ซ๐ง๐ž๐ญ๐ž๐ฌ ๐‚๐จ๐ง๐ญ๐ซ๐จ๐ฅ๐ฅ๐ž๐ซ๐ฌ ๐€๐ง๐ ๐’๐ž๐ซ๐ฏ๐ข๐œ๐ž๐ฌ, will firstly give you a brief introduction to Kubernetes and its Work Flow. Moving on, we will discuss the various C

From playlist Kubernetes Tutorial for Beginners | Edureka

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Git-Based CI CD for Machine Learning & MLOps - MLOps Live #3 - With Microsoft & GitHub

The session โ€” featuring David Aronchick, Head of OSS ML Strategy at Microsoft; Marvin Buss, Azure Customer Engineer at Microsoft; Zander Matheson, Senior Data Scientist at GitHub; and Yaron Haviv, Co-Founder and CTO at Iguazio (https://www.iguazio.com/) โ€” goes beyond theory, with industry

From playlist Top 10: MLOps Tutorials and Talks

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Attacking and Defending Kubernetes

Many companies have deployed Kubernetes, but few infosec folks have experience attacking it. We aim to address that shortage, culminating in an audience-directed Choose Your Own Adventure, movie-themed demo against an intentionally-vulnerable cluster named Bust-a-Kube. You'll see how to at

From playlist Containers

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SDS 533: Fusion Energy, Cancer Proteomics, and Massive-Scale Machine Vision โ€” with Dr. Brett Tully

#FusionEnergy #MachineVision #CancerProteomics Dr. Brett Tully joins us on the podcast to discuss his work as Director of AI Output Systems at Nearmap and his previous research in biomedical topics and nuclear fusion. In this episode you will learn: โ€ข What is Nearmap? [2:40] โ€ข What is a

From playlist Super Data Science Podcast

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Kubernetes Minikube Tutorial | Kubernetes Minikube Dashboard | Kubernetes Training | Edureka

๐Ÿ”ฅEdureka Kubernetes Certification Training (๐”๐ฌ๐ž ๐‚๐จ๐๐ž: ๐˜๐Ž๐”๐“๐”๐๐„๐Ÿ๐ŸŽ): https://www.edureka.co/kubernetes-certification This Edureka ๐Š๐ฎ๐›๐ž๐ซ๐ง๐ž๐ญ๐ž๐ฌ ๐Œ๐ข๐ง๐ข๐ค๐ฎ๐›๐ž ๐“๐ฎ๐ญ๐จ๐ซ๐ข๐š๐ฅ video will help you understand what is Kubernetes and its tools that are minikube and kubectl. We will also discuss minikube dashboard

From playlist Kubernetes Tutorial for Beginners | Edureka

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AI & ML Workflows with Kubernetes

Data science and machine learning are helping to drive business decisions and generate income and insights for organizations across a spectrum of industries, from oil and gas to financial services and many in between. However, developing and deploying ML workflows can be challenging. In th

From playlist Advanced Machine Learning

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AI Model Governance in a High Compliance Industry | Webinar

Get your Free Spark NLP and Spark OCR Free Trial: https://www.johnsnowlabs.com/spark-nlp-try-free/ Watch all NLP & AI webinars: https://events.johnsnowlabs.com/webinars Model governance defines a collection of best practices for data science โ€“ versioning, reproducibility, experiment trac

From playlist AI & NLP Webinars

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Kubectl Commands Tutorial | Minikube and Kubectl Explained | Kubernetes Training | Edureka

๐Ÿ”ฅEdureka Kubernetes Certification Training (๐”๐ฌ๐ž ๐‚๐จ๐๐ž: ๐˜๐Ž๐”๐“๐”๐๐„๐Ÿ๐ŸŽ): https://www.edureka.co/kubernetes-certification This Edureka ๐Š๐ฎ๐›๐ž๐œ๐ญ๐ฅ ๐‚๐จ๐ฆ๐ฆ๐š๐ง๐๐ฌ ๐“๐ฎ๐ญ๐จ๐ซ๐ข๐š๐ฅ will help you understand what is Kubectl and Minikube tools in Kubernetes. Moving on, we will learn how to install Kubectl and Minikube i

From playlist Kubernetes Tutorial for Beginners | Edureka

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Cloud Native Apps with Server-Side WebAssembly

Server-side WebAssembly has the potential to increase security, extend application portability, and simplify cloud-native applications when operated in the Kubernetes ecosystem. This talk explores the pros and cons of different deployment models - embedded in a container, native execution,

From playlist WebAssembly

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Azure MLops- MLPipeline_MNIST Hands-on- Session II, part 5

Configure Azure ML pipeline Credentials Dependencies Dockerize Datastore Computre resources Model training step Model evaluation & registration steps Publish, trigger, schedule pipeline Q&A

From playlist Azure ML Ops

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Kubernetes Launch - Customer and Partner Showcase: Sapho

From the Kubernetes 1.0 Launch, presented by Google. Subscribe to O'Reilly on YouTube: http://goo.gl/n3QSYi Follow O'Reilly on Twitter: http://twitter.com/oreilly Facebook: http://facebook.com/OReilly Google: http://plus.google.com/+oreillymedia

From playlist OSCON 2015

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Kubernetes Done Right

Like Linux, Kubernetes consists of a core and an assortment of building block components that must be assembled and integrated to create an enterprise production-level platform. Most Kubernetes deployments fail because organizations underestimate the complexity of Kubernetes and overestima

From playlist Containers

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AI Show | Scikit-Learn with Andreas Mรผller

Andreas Mรผller chats with Seth Juarez about his journey, watch for a short overview of scikit-learn and introduce his new dabl project. Stay tuned till the end to find out what he thinks is next for ML. Jump To: [20:20] Scki-learn demo start [25:20] Dabl demo start Learn More: DABL ht

From playlist talks

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How To Train BERT 15x Faster | NLP Summit 2020

Get your Free Spark NLP and Spark OCR Free Trial: https://www.johnsnowlabs.com/spark-nlp-try-free/ Register for NLP Summit 2021: https://www.nlpsummit.org/2021-events/ Watch all NLP Summit 2020 sessions: https://www.nlpsummit.org/ While state-of-the-art NLP models are very powerful, the

From playlist NLP Summit 2020

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What is MLOps and how to get started? | MLOps series

โค๏ธ Become The AI Epiphany Patreon โค๏ธ https://www.patreon.com/theaiepiphany ๐Ÿ‘จโ€๐Ÿ‘ฉโ€๐Ÿ‘งโ€๐Ÿ‘ฆ Join our Discord community ๐Ÿ‘จโ€๐Ÿ‘ฉโ€๐Ÿ‘งโ€๐Ÿ‘ฆ https://discord.gg/peBrCpheKE Disclaimer: this channel is separate from my work at Google DeepMind and is my attempt to educate the broader community of future ML enginee

From playlist MLOps

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DjangoCon 2019 -Forklifting Django: Migrating A Complex Django App To Kubernetes by Noah Kantrowitz

DjangoCon 2019 -Forklifting Django: Migrating A Complex Django App To Kubernetes by Noah Kantrowitz Everyone is talking about Kubernetes, but migrating existing applications is often easier said than done. This talk will cover the tale of migrating our main Django application to Kubernete

From playlist DjangoCon US 2019

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SDS 489: Monetizing Machine Learning โ€” with Vin Vashishta

Vin Vashishta joins us to discuss his AI consulting work and his philosophy on AI strategy for monetization. In this episode you will learn: โ€ข V-Squared [3:18] โ€ข Vinโ€™s online content [15:43] โ€ข Low-code/no-code in data science [23:55] โ€ข Top five gap skills [33:45] โ€ข Data sets for insights

From playlist Super Data Science Podcast

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RStudio | XGBoost | Apache MXNet | Scikit-learn | Hyperparameter optimization | TensorFlow | PyTorch | Early stopping | Kubernetes