We’re releasing an analysis showing that since 2012 the amount of compute needed to train a neural net to the same performance on ImageNet classification has been decreasing by a factor of 2 every 16 months. Compared to 2012, it now takes 44 times less compute to train a neural…
Clearly distinguish loc and iloc
From Controlling for Testing Errors to Selecting the Right Test
Start learning with step-by-step, hands-on, command-line tutorials, videos, and hosted terminal sessions. Actionable examples help you learn to provision, secure, connect, or run any application on any infrastructure.
Search and browse cloud infrastructure services such as PaaS, IaaS, log management, exception monitoring, realtime backend APIs, and more. Find the right tools and services to build your next app.
How to create time series datasets with different patterns
Let’s all move to Flavortown, where no one is mean and everything is going to be OK. (For now?!)
Quadratic voting is a rated voting method procedure where voters express the degree of their preferences. By doing so, quadratic voting seeks to address issues of the Condorcet paradox and tyranny of the majority. Quadratic voting works by allowing users to "pay" for additional…
The stores aren’t dead yet
Lagrange Multiplier on a function with 2 variables with 1 equality constraint
Deno features improved security, performance, and developer experience compared to its predecessor. It's a great time to upgrade your Node.js project to run on Deno.
RVM vs. rbenv: why RVM is bad and rbenv is good. Easy setup instructions for MacOS X.
Install Terraform on Mac, Linux, or Windows by downloading the binary or using a package manager (Homebrew or Chocolatey). Then create a Docker container locally by following a quick-start tutorial to check that Terraform installed correctly.
How Single Lock Records unites the hometown legends of Muscle Shoals, Alabama, music with the new generation.
How and why we built a custom app for visual debugging of warehouse pick paths.
KUT 90.5 FM Austin on-air program schedule for local news, NPR, National Public Radio, BBC World Service and Newshour, American Public Media, Texas Standard and other radio programming
It’s not uncommon for malware to use a technique known as formgrabbing; this is done by hooking browser functions responsible for encrypting and sending data to a webpage. By intercepting data before it is encrypted with SSL the malware can read the HTTP header and steal…
2020 was the year East Fork ceramics planned to become profitable. Now, that's likely no longer on the table, but the company is using a new model to better handle its balance sheet: pre-sales. Now, new product lines will all be for sale before they're manufactured, as a way to…
Next.js 9.4 introduces React Fast Refresh, Incremental Static Regeneration, New Environment Support, Built-in Fetch, and more!
Qualcomm open sources the AI Model Efficiency Toolkit on GitHub, providing a simple library plugin for AI developers.
TL;DR — Text data suffers heavily from high-dimensionality. Latent Semantic Analysis (LSA) is a popular, dimensionality-reduction…
Although Leon Redbone’s 2018 documentary was satirically titled, “Please, Don’t Talk About Me When I’m Gone,” it’s impossible not to talk about- and…
Making the design process faster and more efficient by generating 3D objects from natural language descriptions.
Introducing the multi-armed bandit (MAB) optimization used for hero images on hotels.com
This post is about installing SQL, explaining SQL and running SQL.
Everything You Need to Get Started!
Deep dive into spatial autocorrelation and their industry use cases
Important list of 10 python snippets to make your code efficient
This post will address the issues that can arise when Pandas slicing is used improperly. If you see the warning that reads "A value is trying to be set on a copy of a slice from a DataFrame", this post is for you.
Graph Theory is the study of graphs which are mathematical structures used to model pairwise relations between objects. These graphs are…
Know your Pandas library function arsenal as a data scientist
A practical guide to modify the shape of arrays
This new Python package accelerates notebook-based machine learning experimentation
We will walk through a simple example with basic arithmetics to demystify the concept of kernel.
A Comparison of Naive Bayes and Logistic Regression
Using q-learning for sequential decision making and therefore learning to play a simple game.
Pandas is the go-to library for data science. These are the shortcuts I use to do repetitive data science tasks faster and simpler.
A basic guide to using Python to fit non-linear functions to experimental data points
The Pandas library for Python is a game-changer for data preparation. But, when the data gets big, really big, then your computer needs more help to efficiency handle all that data. Learn more about how to use Dask and follow a demo to scale up your Pandas to work with…
From not sweating missing values, to determining feature importance for any estimator, to support for stacking, and a new plotting API, here are 5 new features of the latest release of Scikit-learn which deserve your attention.
I came across Pycaret while I was browsing on a slack for data scientists. It's a versatile library in which you can apply/evaluate/tune…
We recently collaborated with Riskfuel, a startup developing fast derivatives models based on AI, to measure the performance gained by running a Riskfuel-accelerated model on the Azure ND40rs_v2 Virtual Machine instance powered by NVIDIA GPUs against traditional CPU-driven…
In this blog, you will get an intuition behind the use of cross-entropy and log-loss in machine learning.
A Walkthrough on Hyperspectral Image Analysis Using Python.
A tank level measurement application to help you develop intuition on Kalman Filters
Figuring out what words are predictive for your problem is easy!
Deploy, scale and manage your machine learning services with Kubernetes and Terraform on GCP.
Berkeley CS61A Textbook