Data Science
Data Science | News, how-tos, features, reviews, and videos
![Do More With R [video teaser/video series] - R Programming Guide - Tips & Tricks](https://images.idgesg.net/images/article/2018/05/do_more_with_r_teaser-100758232-small.3x2.jpg)
Dplyr across: First look at a new Tidyverse function
See how to use dplyr to run functions across multiple columns at once. You can even run more than one function in the same line of code
Kaggle calls data scientists to action on COVID-19
In newest challenge, Kaggle asks AI researchers to apply machine learning tools and techniques to answering questions about COVID-19
Review: Nvidia’s Rapids brings Python analytics to the GPU
An end-to-end data science ecosystem, open source Rapids gives you Python dataframes, graphs, and machine learning on Nvidia GPU hardware
Interested in machine learning? Better learn PyTorch
Don’t look now, but easy, straightforward PyTorch has become the hottest product in data science
Interested in machine learning? Better learn PyTorch
Don’t look now, but easy, straightforward PyTorch has become the hottest product in data science
How to keep bias out of your AI models
AI models are empty, neutral machines. They will acquire a bias when trained with biased data
2 cloud and AI myths you shouldn’t believe
If you think the cloud will drive data centers to extinction and that AI projects are doomed to fail, think again
Pandas 1.0 brings big breaking changes
The first major point release of the powerful Python data analysis package removes many features and deprecates many others
Netflix open sources data science management tool
Metaflow manages Python data science projects end-to-end, works with any machine learning library, and integrates with AWS cloud services
Simplifying data management in the cloud
Enterprises are bogged down in a sea of data complexity as they expand the use of cloud-native databases. Could self-identifying data be the answer?
6 best programming languages for AI development
Which programming language should you pick for your machine learning or deep learning project? These are your best options
Handicapping the AI modeling horse race
AI has become a core focus for application developers everywhere. It’s as hot in the consumer space as it is in business, industry, research, and government
Data science and cloud computing win most political campaigns
With the 2020 elections a year away, technology will play a bigger role than policy. Enterprises should learn something
Why retailers can’t get enough data scientists
As the retail apocalypse continues – with an estimated 8,600 closing their doors in 2019 – other retail survivors are upping their game with hard-to-find data scientists
Google previews site for sharing machine learning experiments
TensorBoard.dev allows you to upload and share TensorBoards and visualize model graphs and metrics
Data integration platforms every developer should understand
Knowing the new data practices and machine learning technologies is vital for software developers to create business value
Artificial intelligence today: What’s hype and what’s real?
Two decades into the AI revolution, deep learning is becoming a standard part of the analytics toolkit. Here’s what it means
Semi-supervised learning explained
Using a machine learning model’s own predictions on unlabeled data to add to the labeled data set sometimes improves accuracy, but not always
Deep learning frameworks: PyTorch vs. TensorFlow
If you actually need a deep learning model, PyTorch and TensorFlow are both good choices
![Red flag warning button [alert / danger / disaster]](https://images.idgesg.net/images/article/2020/09/red_flag_warning_button_alert_danger_disaster_by_matejmo_gettyimages-644328002_2400x1600-100858026-small.3x2.jpg)
