Open Neural Network Exchange (ONNX) is an open format built to represent machine learning models. It defines the building blocks of machine learning and deep learning models along with a common file format to enable AI developers to use models with a variety…

Venture Capital in Machine Learning Startups

John Spindler CEO of Capital Enterprise. We talked about what trends he has been seeing within MLOps, ML companies and also how he evaluates a deal.

John Spindler has over 15 years of experience as an entrepreneur…

Abstract: In his talk, Vladimir will discuss the approach to verify that people wear face masks using Deep Learning.

Bio: Valdimir is Sr. Computer Vision Engineer at Lyft, Ph.D. Physics, Veteran of The Russian Airborne Forces, Kaggle Grandmaster

Vladimir…

Scale By the Bay 2019 is held on November 13-15 in sunny Oakland, California, on the shores of Lake Merritt: https://scale.bythebay.io. Join us!
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This is a list of 30 things to do after installing Ubuntu Bionic Beaver to make your Ubuntu Linux experience great.

1:15 Configure the update manager.
5:03 Install Drivers
5:45 Install Synaptic package manager
6:32 Install additional codecs, MS fonts, flash…

OpenAI announced that it will adopt Facebook's PyTorch machine learning development framework in the near future, eschewing Google's TensorFlow.

In our study published in Nature, we demonstrate how artificial intelligence research can drive and accelerate new scientific discoveries. We’ve built a dedicated, interdisciplinary team in hopes...

"Less Code, More Intelligence with PyTorch on SageMaker" by AWS

- Summary: Tired of managing your own EC2 instances? Wish you could just write your Torch model and walk away? In this session we’ll dive deep into Amazon SageMaker and understand how it helps…

The ultimate aim of Artificial Intelligence is to provide machines the ability to operate autonomously. One such area which is projected to grow exponentially over the next decade is Autonomous Vehicles. With Artificial Intelligence coupled with the rapid…

Recently, two news broke around the much hyped Telegram Open Network (TON): Firstly, the Durov brothers have officially given up on TON…

MS&E 476: Entrepreneurship through the Lens of Venture Capital

Ernestine Fu is an angel investor in Silicon Valley, partner at venture capital firm Alsop Louie Partners, and instructor at Stanford University.

In this talk, Ernestine discusses the foundations…

Оригинал (англ.): 👉https://docs.ton.dev/86757ecb2/p/7941cd-what-is-ton-os

In this post and the next, we will look at one of the trickiest and most critical problems in Machine Learning (ML): Hyper-parameter…

Выпуск, основанный на статье топового российского предпринимателя, о том, как грамотный подход к своему организму и своей психики может изменить жизнь.

ДОБАВКИ от CLEVERMIND (чтоб отлично себя чувствовать)
https://www.ozon.ru/seller/clevermind-252887/apteka…

I was the A/B Testing guy in my previous role. We were driving thousands of visitors from paid channels to our website, so naturally, we…

Welcome to the next tutorial covering deep learning with Python, Tensorflow, and Keras. We've been working on a cryptocurrency price movement prediction recurrent neural network, focusing mainly on the pre-processing that we've got to do. In this tutorial…

In this lecture, YC Partner Kevin Hale goes over how to package up your idea and communicate it to an investor. He shares his tips on how to craft your pitch in a clear and concise way that effectively grabs your audience's attention.

Transcript and lecture…

Explore and run machine learning code with Kaggle Notebooks | Using data from Credit Card Fraud Detection

Launching an artificial intelligence startup may be all the rage these days, but it's not as easy as you might think. Should you pursue venture capital or bootstrap your operation by focusing on profitability from day one? I'll discuss both approaches in…

Neural networks are trained using gradient descent where the estimate of the error used to update the weights is calculated based on a subset of the training dataset.

The number of examples from the training dataset used in the estimate of the error gradient…