This site like many others, uses small files called cookies to help us customise your experience.

At Microsoft, we have been on a quest to advance AI beyond existing techniques, by taking a more holistic, human-centric approach to learning and understanding. As Chief Technology Officer of Azure AI Cognitive Services, I have been working with a team of amazing scientists and engineers to turn this quest into a reality. In my […] The post A holis
1
Pitfalls To Avoid while Interpreting Machine Learning-PDP/ICE case Photo by Leio McLaren (@leiomclaren) on Unsplash Abstract One can find numerous articles today on Explainable AI, some of which can be found here . The most standard guide for Explainable AI will undoubtedly be this book by Christoph Molnar. When I came across the recent paper Pitfa ...
be the first to vote
Tired of wordclouds? PictureText converts a list of short documents to an interactive tree map with minimal code The amount of written text available and relevant for us is staggering and, like most things these days, increasing exponentially. Yet the tools we use to read have largely remained unchanged. When researching a topic, reading the news o ...
be the first to vote
Leveraging target encoding when your categorical variables have a hierarchical structure Photo by Mauro Gigli on Unsplash At the very beginning of this millennium, when my hair was a lot darker, I wrote a little article with a pretty long name, entitled “A preprocessing scheme for high-cardinality categorical attributes in classification and predic ...
be the first to vote
To provide a bit of context I was interviewing for a Data Analytics position in a company and the interviewer noticed that I had used XGBoost in a project from my resume and asked this question verbatim
“Can you name some algorithms better than XGBoost?”
My response was “Wouldn’t that depend on the type of problem and the data? I don’t know w ...
be the first to vote
Image by author Use linear regression and Newton’s method to maximize a company’s production output Introduction Economics and data science can look very similar at times. Many techniques that have been used by economists for decades are imperative to data science and machine learning. The intersection comes not only from the close relationship of ...
be the first to vote
Image source: The New York Times Forecasting. Everyone does it. No one does it the same way. I’m hoping to solve this problem with a deep learning approach by borrowing some of the best-in-class methods across the industry and showing you how to do the same. The data I’m using data from NYC OpenData — specifically, all arrests made during 2020. Thi ...
be the first to vote
Analyzing the Google Play Store Apps Reviews based on sentiment reported by reviewers About this article This article talks about the results of a data visualization project in the context of the Google Play Store Apps Review. The Google Play Store is one of the most used digital distribution services in the world, with tons of apps and users. Beca ...
be the first to vote
Hi Everyone,
Excited to share with you Aim - a project we have been working on the past few months. Aim is an open source AI Development Environment focused on capturing and presenting the research context.
It helps to record, search and compare 100s of experiments within minutes. Comparing lots of experiments could take hours on TensorBoard/ ...
be the first to vote
? Utilizing high power computers to simulate chemistry! Protein folding? ⚠️ [Don’t look at this photo for very long, especially if you are prone to migraines or seizures] Have you ever heard of the protein folding problem, or wanted to test the ground state energy of a molecule, test for aging and lifetime in lithium storage cells or determine the ...
be the first to vote
I’m looking to get a ML job and one of my biggest ML projects is where I built an object detection model that can identify nudity in images with a higher success rate than any publicly available solution. However, this is inherently NSFW and I’m wanting to know whether it would be acceptable to put this on my resume or if I should just get involved ...
be the first to vote
Abstract As we are getting more and more dependent on technology, we also expose ourselves to all kinds of online threats.It has now become necessary to adopt countermeasures against cyber-attacks that are becoming more sophisticated as the years pass. Since the first confirmed attack in 2002, targeted attacks have inflicted significant damage in a ...
be the first to vote
“Understanding Confusion Matrix, Precision-Recall, and F1-Score” by Pratheesh Shivaprasad https://link.medium.com/WQf664ObIab ...
be the first to vote
Few weeks ago we finished Why R? 2020 conference. We had an honour to host Julia Silge, a data scientist and software engineer at RStudio PBC. This post contains a biography of the speaker and an abstract of her talk: Data visualization for machine le... The post Julia Silge - Data visualization for machine learning practitioners first appeared on
be the first to vote
Predicting taxi demand in Manhattan Image from Pexels in Pixabay I have recently finished a Master’s Degree in Data Science (KSchool) and wanted to share my Final Project so that other Data Scientists can benefit from my work. Manhattan Taxi Demand Predictor is a machine learning app that predicts for the next three days how many passengers will re ...
1 Views
I bought GIGABYTE RTX 3080 gaming oc 10GB for deep learning and used it to train a model.

But **the validation loss was nan but training loss was fine.**
I tested the same script with 4 environments(OS : Windows 10 x64):
1. 3700x + RTX 3080 (CUDA 10.1)2. 3700x only (no GPU)3. Other laptop (i7 8750H + GTX 1050ti)4. 3700x + RTX 3080 (CU ...
be the first to vote
An introduction to the harm that ML systems cause and to the power imbalance that exists between ML system developers and ML system participants …and 10 concrete ways for machine learning practitioners to help build fairer ML systems.Read the full story ...
be the first to vote
Learn the basics of PyTorch such as what it is, how to build and deploy a model, its strong community and more.   Jump To:  [01:15] What makes PyTorch different from other frameworks? [02:31] What is PyTorch? [05:35] How does PyTorch deal with data? [10:35] Building a model with PyTorch [22:08] Deploying PyTorch models to production [29:09] PyTorch
be the first to vote
Many decisions we make in life are based on the opinions of multiple other people. This includes choosing a book to read based on reviews, choosing a course of action based on the advice of multiple medical doctors, and determining guilt. Often, decision making by a group of individuals results in a better outcome than […] The post A Gentle Introdu
be the first to vote