Matti Räty

50 Added | 8 Magazines | 29 Likes | 22 Following | 6 Followers | @mraty | CTO @ Fjuul

Three pitfalls for non-technical managers managing Data Science teams

<i>This is a fairly opinionated post. It doesn’t represent the views of anyone else other than myself.</i><p>I recently came across – Pitfalls of a non …

AI experts predict the future: Truck drivers out of jobs by 2027, surgeons by 2053

Hundreds of AI experts predict when their models will beat humans at everything.<p>Google has hung up its AlphaGo gloves after trouncing the world's …

J.P.Morgan’s massive guide to machine learning and big data jobs in finance

So you want to work in machine learning and big data in finance? In 2017, J.P. Morgan issued a huge new report on that.

J.P. Morgan

Principal components

Principal components analysis<p>Principal components analysis (PCA) is a statistical technique that allows to identify underlying linear patterns in a …

A Brief History of CNNs in Image Segmentation: From R-CNN to Mask R-CNN

At Athelas, we use Convolutional Neural Networks(CNNs) for a lot more than just classification! In this post, we’ll see how CNNs can be used, with …

How to classify images with TensorFlow using Google Cloud Machine Learning and Cloud Dataflow | Google Cloud Big Data and Machine Learning Blog | Google Cloud Platform

Friday, December 16, 2016<p><i>Posted by Slaven Bilac, Software Engineer</i><p><b>For specialized image-classification use cases, using Google Cloud Dataflow and</b> …

Insurance and the big data technology revolution

Automatic razors, jet packs and traffic jams on the skyways. The Jetsons made all sorts of predictions about life in the distant future. But the …

Health Care

A Guide to Time Series Visualization with Python 3

IntroductionTime-series analysis belongs to a branch of Statistics that involves the study of ordered, often temporal data. When relevantly applied, …

Data Science

Federated Learning: Collaborative Machine Learning without Centralized Training Data

Posted by Brendan McMahan and Daniel Ramage, Research Scientists<br>Standard machine learning approaches require centralizing the training data on one …

Machine Learning

Neural Networks for Machine Learning: A Free Online Course

The 78-video playlist above comes from a course called <i>Neural Networks for Machine Learning</i>, taught by Geoffrey Hinton, a computer science professor …

Machine Learning

120 Machine Learning Business Ideas From the Latest McKinsey Report

12 sectors where automation will take over in the shortThe post 120 Machine Learning Business Ideas From the Latest McKinsey Report appeared first on …

Startups (India)

Evolution Strategies as a Scalable Alternative to Reinforcement Learning

We've discovered that <b>evolution strategies (ES)</b>, an optimization technique that's been known for decades, rivals the performance of standard</b> …

Deep Learning

Elon Musk’s OpenAI Unveils a Simpler Way for Machines to Learn - MIT Technology Review

Watch OpenAI’s research director, Ilya Sutskever on stage at EmTech Digital.<p>In 2013 a British artificial-intelligence startup called DeepMind …

Feature Engineering using R

Feature Engineering is paramount in building a good predictive model. It's significant to obtain a deep understanding of the data that is being used …

Tutorial: GraphQL Mutations with React – Apollo GraphQL

How to modify data on the server and keep the client in sync<p>In this tutorial, you’ll learn how to use a simple mutation to modify data on the server …

JavaScript

Distill — Latest articles about machine learning

Dec. 4, 2017commentaryUsing Artificial Intelligence to Augment Human IntelligenceBy creating user interfaces which let us work with the …

The Data Science Project Playbook

<b>By Matthew Coffman, High Alpha.</b><p>This post is a follow-up to "Four Big Ideas Shaping Product Strategy Today".<p>Josh Wills, head of data engineering at …

Understanding deep learning requires rethinking generalization

<i>Recent scientific paper by Chiyuan Zhang, Samy Bengio, Moritz Hardt, Benjamin Recht, and Oriol Vinyals. Published here.</i> <i></i><b>Abstract</b>Despite their massive …

Data Science

Robots learn to work together by chatting in new language they created

Robots have learned how to communicate with each other by creating their own language, a new report explains.<p>Experts at artificial intelligence …

Playing with Promises

Either writing Javascript or NodeJS, we are always dealing with an asynchronous approach. We have to be very careful while implementing in this …

JavaScript

Seeing Theory

Chapter 1<p>Basic Probability<p>This chapter is an introduction to the basic concepts of probability theory.<p>Chapter 2<p>Compound Probability<p>This chapter …

DeepMind's new algorithm adds 'memory' to AI

When DeepMind burst into prominent view in 2014 it taught its machine learning systems how to play Atari games. The system could learn to defeat the …

Machine Learning A-Z™: Hands-On Python & R In Data Science

Opportunities for machine-learning startups: An investor perspective

Machine learning is a trending topic today and for good reason. It has enormous potential to transform entire markets and industries. But there’s also a lot of hype surrounding the technology. As an investor, I look for four key characteristics that I believe distinguish winners who are …

Machine Learning

A.I. Can Predict Whether You Have Sepsis Before Doctors Even Know It

"We need fewer buzz words; we need systems that work."<p>By on<p>Filed Under A.I., Diseases & Health<p>The revolution will not be televised. It'll be sent to …

Facebook's new machine learning framework emphasizes efficiency over accuracy

In machine learning parlance, clustering or similarity search looks for affinities in sets of data that normally don't make such a job easy. If you …

Machine Learning

How I’m learning “Machine Learning”

In the past year, I’ve become convinced that machine learning is not hype. Strong AI/AGI is no longer a requirement for complex tasks. It doesn’t …

Machine Learning

Machine Learning

Tensorflow and deep learning - without a PhD by Martin Görner

Deep Learning