Machine Learning

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Drones and AI combine to combat poaching in southern Africa

Drones have the potential to play a big role in protecting endangered species, with a number of trials being conducted to investigate how small …

Wildlife

Deep Learning in Label-free Cell Classification

Altmetric: 215<p>Views: 39,176<p>Citations: 13<p>More detail<p>Article |<p>Open<p>Claire Lifan Chen<br>• , Ata Mahjoubfar<br>• , Li-Chia Tai<br>• , Ian K. Blaby<br>• , Allen Huang<br>• , Kayvan …

Deep Learning

Cancer Diagnostics with Deep Learning and Photonic Time Stretch

An imaging system combining flow cytometry, photonic time stretch, and machine learning algorithms enables UCLA researchers to classify cancer cells …

Machine Learning

Lyrebird Is An AI That Can Accurately Imitate Any Voice

Even in the best AI interfaces such as Microsoft's Cortana and Amazon's Alexa, natural-sounding voice emulators have long been an unachievable goal …

Artificial Intelligence

Plotting Time Series in R using Yahoo Finance data

(This article was first published on <b> Revolutions</b>, and kindly contributed to R-bloggers)by Joseph RickertI recently rediscovered the Timely Portfolio …

Data Science

Modern Machine Learning Algorithms: Strengths and Weaknesses

In this guide, we’ll take a practical, concise tour through modern machine learning algorithms. While other such lists exist, they don’t really …

Data Science

Predictive analytics: The smart person's guide

IBM Watson is the most well-known example of predictive analytics in use. If your company wants to benefit from predictive analytics, here's what you …

Business Intelligence

Improving automatic document production with R

(This article was first published on <b>R – Locke Data</b>, and kindly contributed to R-bloggers)<p>In this post, I describe the latest iteration of my …

Data Science

Google’s New AI Is Better at Creating AI Than the Company’s Engineers

Google’s AutoML<p>One of the more noteworthy remarks to come out of Google I/O ’17 conference this week was CEO Sundar Pichai recalling how his team had …

Artificial Intelligence

Google made a site that shows how millions of people draw the same object

Back in November, Google released artificial intelligence experiment that asks you to draw a random object and see if the neural network can identify your doodle. Quick, Draw! was eventually turned into a tool that transformed drawings into clip art based on the best results it got, helping people …

Google I/O

The 'Semantic Bank' that works with you is coming soon, this is why

On May 19, I’m going to unveil the Semantic Bank to the <i>The Next Web</i> audience, and wrote a bit about it the other day here. I thought I would expand a little more on the background to the Semantic Bank by talking in more depth about artificial intelligence, machine learning and deep learning, which …

Artificial Intelligence

Ideas on interpreting machine learning

You’ve probably heard by now that machine learning algorithms can use big data to predict whether a donor will give to a charity, whether an infant …

Data Science

Introduction to scikit-learn

Introducing Scikit-Learn<p>There are several Python libraries which provide solid implementations of a range of machine learning algorithms. One of the …

Machine Learning

11 Important Model Evaluation Techniques Everyone Should Know

40 Techniques Used by Data Scientists

R-exercises – Start here to learn R!

Ready, set, go!<p>On R-exercises, you will find <i>more than 1,000</i> R exercises. We’ve bundled them into exercise <i>sets</i>, where each set covers a specific …

Data Science

R-exercises – Call Center Productivity Boosting with ML Exercises

Difficulty level: Not rated yet<p>The telephone had rung when Jean was watching her favorite TV Show. It was a call center selling newspaper, so she got …

Machine Learning

Top 15 Python Libraries for Data Science in in 2017

As Python has gained a lot of traction in the recent years in Data Science industry, I wanted to outline some of its most useful libraries for data …

Python Programming

A Free Course on Machine Learning & Data Science from Caltech

Right now, Machine Learning and Data Science are two hot topics, the subject of many courses being offered at universities today. Above, you can …

Machine Learning

Which machine learning algorithm should I use?

This resource is designed primarily for beginning data scientists or analysts who are interested in identifying and applying machine learning …

Machine Learning

A deep-learning tool that lets you clone an artistic style onto a photo

The Deep Photo Style Transfer tool lets you add artistic style and other elements from a reference photo onto your photo. (credit: Cornell University)<p>…

Machine Learning

Neural Network Basics

<b>David Leverington</b> <br>Associate Professor of Geosciences<p><b>The Feedforward Backpropagation Neural Network Algorithm</b><p>Although the long-term goal of the …

Deep Learning

RIDE – A New Data Science IDE for Python and R

The data science world is split into two parts: the (i)Python and the R community. Both groups offer a plethora of tools and libraries enriching our …

Data Science

Scientists predict AI will allow us to translate dolphin language by 2021

Why it matters to you<p>Using AI to translate dolphin chatter shows just how quickly natural language processing tech is advancing, and how many …

Machine Learning

Causal Inference Using Graphical Models with the R Package pcalg | Kalisch | Journal of Statistical Software

Authors:<p>Markus Kalisch, Martin Mächler, Diego Colombo, Marloes H. Maathuis, Peter Bühlmann<p>Title:<p><b>Causal Inference Using Graphical Models with the R</b> …

Data Science

Targeted Learning R Packages for Causal Inference and Machine Learning

by Sherri Rose<br>Assistant Professor of Health Care Policy<br>Harvard Medical SchoolTargeted learning methods build machine-learning-based estimators of …

Data Science

Causal Inference In Statistics: A Companion for R Users

Graphical Models and Their Applications<p>Study question 2.3.1<p>First we define the two graphs used in this exercise.<p>List all pairs of variables in the …

Data Science

Neural Networks Face Unexpected Problems in Analyzing Financial Data

One area where machine learning and neural networks are set to make a huge impact is in financial markets. This field is rich in the two key factors …

Machine Learning