There is more to building a sustainable Deep Learning solution than what is provided by Deep Learning frameworks like TensorFlow and…

Docker is everywhere in the software industry today. We will take a look at how docker in helping in the Machine Learning spectrum.

Using Flask to deploy an ML model

Generative Adversarial Networks, or GANs, are an architecture for training generative models, such as deep convolutional neural networks for generating images. The conditional generative adversarial network, or cGAN for short, is a type of GAN that involves…

Browse the End to End Machine Learning product catalog to explore and discover available products.

This meme has been all over social media lately, producing appreciative chuckles across the internet as the hype around deep learning…

Discussions:
Hacker News (366 points, 21 comments), Reddit r/MachineLearning (256 points, 18 comments)


Translations: Chinese 1, Chinese 2, Japanese, Korean






The NumPy package is the workhorse of data analysis, machine learning, and scientific computing…

You already know that building your own Deep Learning Computer is 10x cheaper than using AWS and you can save thousands as compared to…

Overview

This presentation was posted by Jason Mayes, senior creative engineer at Google, and was shared by many data scientists on social networks. Chances are that yo…

Here are 7 ambitious projects you should try out to broaden your data science skillset!

Explore and run machine learning code with Kaggle Notebooks | Using data from Customer Support on Twitter

Top 10 ML and stats articles for learning data concepts