• Machine Learning
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The Machine Learning Toolkit for Kubernetes

May 05

Kubeflow welcomes two Google Summer of Code students

The Kubeflow community is delighted to announce that we’ll mentor two Google Summer of Code (GSoC) students this year. GSoC is a global program, run by Google, which brings students and open source…

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Jul 10

Kubeflow & Kale simplify building better ML Pipelines with automatic hyperparameter tuning

TL;DR: Convert Notebook to Kubeflow Pipelines, run them as hyperparameter tuning experiments, track executions and artifacts with MLMD, cache and maintain an immutable history of executions: Kale…

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Mar 19

Introduction to Kubeflow MPI Operator and Industry Adoption

Kubeflow just announced its first major 1.0 release recently, which makes it easy for machine learning engineers and data scientists to leverage cloud assets (public or on-premise) for machine…

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Mar 03

The Making of Kubeflow 1.0: Designing for stability and broad market adoption

The broad market adoption of Kubeflow 1.0 demonstrates that an open source, machine learning community can effectively develop, iterate and sustain the operating structure and processes that are…

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AWS - Machine Learning - Sep 18 - Blog Post:
Detecting and redacting PII using Amazon Comprehend

Amazon Comprehend is a natural language processing (NLP) service that uses machine learning (ML) to find insights and relationships like...

MarketMuse - Sep 18 - Blog Post:
GPT-3 Exposed: Behind the Smoke and Mirrors

Here's why GPT-3 can't produce expert-level, long-form content that's reliably free of bias or discrimination.

Stermedia.ai - Sep 18 - Blog Post:
#TECH_EPISODE_01 [AI] Gradient Boosing Tree – The Underlying Model

Decision trees are one of the simplest to explain approaches to predictive modeling. They serve as a foundation of algorithms...

Sitezeus - Sep 18 - Blog Post:
How multi-unit brands thrive with A.I.

In today’s economy, rapid change is a fact of life. To maintain a successful, yet flexible market strategy, multi-unit brands...

Dataiku - Sep 18 - Blog Post:
Training Cutting-Edge Neural Networks With Tensor2Tensor and 10 Lines of Code

We used Google's Tensor2Tensor to make Translators using advanced new neural net architectures , specifically the Transformer, with hardly any...

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