Data Science Weekly - Issue 232
Issue #232 May 3 2018
Editor Picks
Designing (and Learning From) a Teachable Machine
A blog post on UX insights gained from Google’s Teachable Machine on how to make ML models accessible...
Data Science for Startups: Introduction
I recently changed industries and joined a startup company where I’m responsible for building up a data science discipline. While we already had a solid data pipeline in place when I joined, we didn’t have processes in place for reproducible analysis, scaling up models, and performing experiments. The goal of this series of blog posts is to provide an overview of how to build a data science platform from scratch for a startup, providing real examples using Google Cloud Platform (GCP) that readers can try out themselves...
WaveGAN Demo
This is a demo of our WaveGAN method trained on drum sound effects (paper, code). All drum sounds are synthesized in browser by a neural network...
A Message from this week's Sponsor:
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Data Science Articles & Videos
AI in the UK: ready, willing and able? [PDF]
The United Kingdom's House of Lords Select Committee has released its report on the UK's AI strategy. The almost two-hundred page report, AI in the UK: ready, willing and able? covers issues ranging from how to design AI, how to develop it, how to work with it, and how to engage with it...
Beyond Narrative Description:
Generating Poetry from Images by Multi-Adversarial Training
Deep learning has gotten pretty good at generating text descriptions for images. So good, in fact, that researchers decided to take it a step further with a neural network that can create free verse using an image as the source of inspiration...
Introduction to Einstein summation (einsum) notation for Deep Learning
When talking to colleagues I realized that not everyone knows about einsum, my favorite function for developing deep learning models. This post is trying to change that once and for all!...
Command Line Tricks For Data Scientists
For many data scientists, data manipulation begins and ends with Pandas or the Tidyverse. In theory, there is nothing wrong with this notion. It is, after all, why these tools exist in the first place. Yet, these options can often be overkill for simple tasks like delimiter conversion...
TensorFlow Lite for iOS - Coding TensorFlow
In this episode of Coding TensorFlow, Laurence Moroney, Developer Advocate for TensorFlow at Google, talks us through how TensorFlow Lite works on iOS. You'll see how to deploy a trained model to an iOS App, and how you can run inference with it, using C++ called from a Swift App...
Stochastic Weight Averaging —
a New Way to Get State of the Art Results in Deep Learning
In this article, I will discuss two interesting recent papers that provide an easy way to improve performance of any given neural network by using a smart way to ensemble...
An Introduction to Deep Learning for Tabular Data
There is a powerful technique that is winning Kaggle competitions and is widely used at Google (according to Jeff Dean), Pinterest, and Instacart, yet that many people don’t even realize is possible: the use of deep learning for tabular data, and in particular, the creation of embeddings for categorical variables...
How to Attract Top Data Science Talent:
Lessons from 1,400+ Insight Fellows
The article focuses on three ways hiring managers need to differentiate themselves to attract top data talent...
Jobs
Director of Data Science - Fair Trade Certified - Oakland, CA
Fair Trade USA's newly formed Data Team works with departments across the organization to collect, manage, analyze and share data about Fair Trade USA’s business and the impact of our work. The organization is committed to being excellent stewards of our data while working quickly to create meaningful data insights that can be used to evaluate the effectiveness of our programs and deliver supply chain insights to our partners. The Director of Data Science will lead a team of 7 data practitioners at Fair Trade USA...
Training & Resources
Flatten A PyTorch Tensor
Learn how to flatten A PyTorch Tensor by using the PyTorch view operation, via a screencast video and full tutorial transcript...
HyperTools: A python toolbox for gaining geometric insights into high-dimensional data
A library for visualizing and manipulating high-dimensional data in Python. It is built on top of matplotlib (for plotting), seaborn (for plot styling), and scikit-learn (for data manipulation)...
Announcing Open Images V4
Today, we are happy to announce Open Images V4, containing 15.4M bounding-boxes for 600 categories on 1.9M images, making it the largest existing dataset with object location annotations...
Books
The Theory That Would Not Die:
How Bayes' Rule Cracked the Enigma Code, Hunted Down Russian Submarines, and Emerged Triumphant from Two Centuries of Controversy An enjoyable account of the history of Bayesian statistics from Thomas Bayes's first idea to the ultimate (near-)triumph of Bayesian methods in modern statistics...
For a detailed list of books covering Data Science, Machine Learning, AI and associated programming languages check out our resources page.
P.S., Want to reach our audience / fellow readers? Consider sponsoring - grab a spot now; first come first served! All the best, Hannah & Sebastian