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Data Engineer Skills for 2022

Data Engineer Skills for 2022

Δ 8. DevOps. A year ago, we recognized this key foundational piece for the Data Engineers knowledge as part of programming. This year it is broken into its own multi-piece area....

Machines of Loving Understanding

Machines of Loving Understanding

Brautigan’s poem inspires and terrifies me at the same time. It’s a reminder of how creepy a world full of devices that blur the line between life and objects could be, but...

GitHub - mlverse/tfevents: Write events for TensorBoard

GitHub - mlverse/tfevents: Write events for TensorBoard

Write events for TensorBoard Insights mlverse/tfevents This commit does not belong to any branch on this repository, and may belong to a fork outside of the...

How To Start With Deep Learning using TensorFlow

How To Start With Deep Learning using TensorFlow

Machine Learning | AI | Data Science Step:1 Setup Your Anaconda Environment using VSCode Step:2 Now we will start working with FASHION-MNIST Dataset Fashion-MNIST is a dataset...

AI: 3 top risks and how to avoid them

AI: 3 top risks and how to avoid them

Artificial intelligence systems and projects are becoming more commonplace as enterprises harness the power of this emerging technology to automate decision-making and improve...

Introduction to Machine Learning Interviews Book · MLIB

Introduction to Machine Learning Interviews Book · MLIB

You can read the web-friendly version of the book here. You can find the source code on GitHub. The Discord to discuss the answers to the questions in the book is here. As a...

7 Must Read Books To Learn 'Machine Learning' - OpenXcell

7 Must Read Books To Learn 'Machine Learning' - OpenXcell

Siften Halwai | 09 Jun 2016 Arthur Samuel, an American pioneer in the field of computer gaming, artificial intelligence and machine learning defined Machine Learning as a “Field...

Digging Into KeyBank’s Conversational AI Strategy

Digging Into KeyBank’s Conversational AI Strategy

It’s no longer rare for a financial institution to have deployed artificial intelligence technology in at least some aspect, whether it be customer-facing chatbots, or back-end...

Solving brain dynamics gives rise to flexible machine learning models

Solving brain dynamics gives rise to flexible machine learning models

Recently MIT researchers built “liquid” neural networks, inspired by the brains of small species: a class of flexible, robust machine learning models that learn on the job and...

Hierarchical Clustering in Machine Learning - Analytics Vidhya

Hierarchical Clustering in Machine Learning - Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Hierarchical clustering is one of the most famous clustering techniques used in unsupervised machine...

The Data Cards Playbook: A Toolkit for Transparency in Dataset Documentation

The Data Cards Playbook: A Toolkit for Transparency in Dataset Documentation

As machine learning (ML) research moves toward large-scale models capable of numerous downstream tasks, a shared understanding of a dataset’s origin, development, intent, and...

Responsible Data Enrichment Sourcing Library - Partnership on AI

Responsible Data Enrichment Sourcing Library - Partnership on AI

Improving Conditions for Data Enrichment Workers Resources for AI Practitioners AI is powered by data enrichment workers… To create today’s machine learning (ML) models, AI...