stream:// data science
How to Work with C# Vectors and Matrices for Machine Learning
Here's a hands-on tutorial from bona-fide data scientist Dr. James McCaffrey of Microsoft Research to get you up to speed with machine learning development using C#, complete with code listings and graphics.
AI/ML Pipelines Using Open Data Hub and Kubeflow on Red Hat OpenShift
Amazon S3, Open Data Hub, Argo, Kubeflow, and Red Hat OpenShift are some of the popular tools that AI/ML Pipelines Using Open Data Hub and Kubeflow on Red Hat OpenShift uses. Learn more about the Language, Utilities, DevOps, and Business Tools in Red Hat, Inc.'s Tech Stack.
Google just published 25 million free datasets
Here’s what you need to know about the largest data repository in the world
23 Amazing Deep Learning Project Ideas [Source Code Included]
Work on these 23 amazing deep learning project ideas such as image caption generator, human pose estimation, etc to enhance your skills & become an expert.
Using neural networks to solve advanced mathematics equations
Facebook AI has developed the first neural network that uses symbolic reasoning to solve advanced mathematics problems.
Thoughtful Machine Learning with Python: A Test-Driven Approach
Overcome the complexity of building, training, and deploying machine learning models, from the cloud to the edge. Explore machine learning fundamentals, machine learning with Python, techniques for improving models, and developing viable frameworks for your machine learning solutions. In ...
Getting to Top 4% in Kaggle's Titanic Competition - Part 2, Automated ML
Second part of a series on how to get ahead of the Titanic machine learning competition, with as little effort as possible. In this episode I show you how to...
Getting to Top 4% in Kaggle's Titanic Competition - Part 1, scikit-learn
First part of a series on how to get ahead of the Titanic machine learning competition, with as little effort as possible. In this episode I discuss the Tita...
Microsoft Research 2019 reflection—a year of progress on technology’s toughest challenges
In 2019, Microsoft researchers assembled guidelines for human-AI interaction design, explored gender bias in machine learning, and created numerous technologies that improved accessibility. Learn how these advances emphasize inclusivity.
Tutorial: Detect objects using deep learning with ONNX and ML.NET
This tutorial illustrates how to use a pre-trained ONNX deep learning model in ML.NET to detect objects in images.
Practical Deep Learning for Coder
Practical Deep Learning for Coders, v3 | fast.ai course v3 Toggle navigation fast.ai course v3
14 data scientists you should follow on Twitter
Follow these top data scientists to keep up with the latest trends in the world of big data and machine learning.
9 Advanced Tips for Production Machine Learning
TLDR; Incorporating a new state of the art machine learning model into a production application is a rewarding yet often frustrating…
74 Summaries of Machine Learning and NLP Research - Marek Rei
My previous post on summarising 57 research papers turned out to be quite useful for people working in this field, so it is about time…
Apple attending & presenting at NeurIPS Machine Learning conference
Apple has announced that it will again be appearing at and sponsoring the NeurIPS conference on Machine Learning, from December 8 to December 14.
TensorFlow is dead, long live TensorFlow!
If you’re an AI enthusiast and you didn’t see the big news this month, you might have just snoozed through an off-the-charts earthquake…
Understanding searches better than ever before
How new advances in the science of language understanding will help you find more useful information in Search.
Amazon is now offering quantum computing as a service
It’s called Amazon Braket, and it’s a "fully managed" AWS service.
BERT for dummies — Step by Step Tutorial
DIY Practical guide on Transformer. Hands-on proven PyTorch code for Intent Classification with BERT fine-tuned.
Microsoft scientist accepts Hamburg Prize for Theoretical Physics for quantum contributions - Microsoft Quantum
Dr. Matthias Troyer accepted the 2019 Hamburg Prize for Theoretical Physics – one of the most valuable German prizes in the field – for his groundbreaking contributions to the development of quantum Monte Carlo algorithms.
ML.NET Model Builder Updates
ML.NET is a cross-platform, machine learning framework for .NET developers, and Model Builder is the UI tooling in Visual Studio that uses Automated Machine Le...
SciSharp/TensorFlow.NET
.NET Standard bindings for Google's TensorFlow for developing, training and deploying Machine Learning models in C#. - SciSharp/TensorFlow.NET
TensorFlow 2.0 on Azure: Fine-tuning BERT for question tagging
Congratulations to the TensorFlow community on the release of TensorFlow 2.0! In this blog, we aim to highlight some of the ways that Azure can streamline the building, training, and deployment of your TensorFlow model.
The Triumph and Tragedy of the Data Scientist
Our minds are continuous, unified and far more powerful than we’ve been taught.
7 start-ups shaking up Ireland’s data science scene
From athlete performance anayltics to predictive intelligence for transport, here are seven of Ireland's leading data science start-ups.
Hot Vacancies
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A developer is needed for an American startup that manages the operation and maintenance of residential complexes. This is a new project from scratch with a temporary integration of the old system (Web Forms, no code access).
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Senior Xamarin Developer
You will join a mobile team which is working on two very exciting projects, Sportsbook and Casino. The apps are used by users in the US, where we are working on the regulated markets. We are releasing apps every two weeks. Our apps are generating almost 75% of the company revenue and the user base is growing daily. Technical stack on the project: Xamarin.Forms, MVVM with DI, NewRelic, Azure + App Center etc. Switching to .Net MAUI in the nearest 2-3 months.
Senior .NET Engineer
You will be working in a large US-oriented company that puts as a priority: security, performance, and stability. The candidate will work on pushing a huge number of changes (several thousand per sec) to several thousand clients in a near real-time manner.
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Our customer is an American company that develops software for businesses to help manage their networks, systems, and information technology infrastructure. The company provides purpose-built products for IT professionals, MSPs, and DevOps pros.