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…

Hands-on Learning with KubeFlow + Keras/TensorFlow 2.0 + TF Extended (TFX) + Kubernetes + PyTorch + XGBoost + Airflow + MLflow + Spark + Jupyter + TPU

RSVP Here: https://www.eventbrite.com/e/full-day-workshop-kubeflow-kerastensorflow-20-tf-extended-tfx-kubernetes…

https://arxiv.org/pdf/2006.10029v1.pdf

How do Kubeflow and SageMaker go up against each other what are the benefits of using one or the other? How does versioning your Machine Learning steps work with Kubeflow and Arrikto? For our 8th MLOps community meetup Josh Bottum VP of Arrikto and Kubeflow…

Everything in Python is an object. And what every newcomer to Python should quickly learn is that all objects in Python can be either…

Locality Sensitive Hashing (LSH) is an effective method of indexing a set of items to support efficient nearest neighbors queries in high-dimensional spaces. The basic idea of LSH is that similar...