Under the Decision Tree (#5)

Written by Scott Schwalm

This post is days old.

Welcome back for another edition of Under the Decision Tree. We had a small break since the last episode. So there are quite a few interesting articles and podcasts to catch up on.

Comments are always welcome at: Decision Tree

News/Articles

Want to be a data scientist? ‘Stay humble and never stop learning’
Making computers explain themselves
Sure, A.I. Is Powerful—But Can We Make It Accountable?
Artificial intelligence: current trends and future developments
Microsoft’s Cognitive Toolkit teaches AI how to process data
Big data means big opportunities
Microsoft Releases Open Source Toolkit That Understands Words Just Like Humans, Adds C++ & Python Support
How robots will teach each other with data
To make robots more human-like, we need to teach them how to be mind readers
Facebook’s giving away servers for AI: So what does it get in return?
Living With Smart Machines
AI lawyer: I know how you ruled next summer
AI Is Not out to Get Us
The bots are coming. It’s time to rethink your career
AI Will Change the World and Even the Course of Our Species
The end of work
Ocado data chief: ‘Machine learning skills are very hard to find - we have to compete with Google DeepMind’
Machine Learning Is No Longer Just for Experts
The darker side of machine learning
Microsoft Stock: Solid Cloud Strategy Could Lift Microsoft Corporation (MSFT) Stock
Google’s Brain Team: ‘AIs can be racist and sexist but we can change that’
These are three of the biggest problems facing today’s AI
5 Reasons Your Creativity Is Your Greatest Asset
AL-HUSSEINI: Can we build AI without losing control over It?
The Rise of Deep Learning
Tesla vehicles are getting smarter: 222 million Autopilot miles and counting
Microsoft and the ubiquity of data intelligence
4 Ways Machine Learning Can Change E-Commerce
Microsoft Cloud AI Tests Turing Institute — Data Science Meets Machine Learning
Here’s What Happens When You Mix Weather, Political Data, and Machine Learning
TeleSign Battles Online Fraud Via Machine Learning
3 Ways Big Data and Machine Learning Affect Consumer Behavior
Omron’s table tennis robot gets machine learning smarts

Podcasts

2016-10-22 - TWiML Talk #8 - Diogo Almeida - Deep Learning: Modular in Theory, Inflexible in Practice
2016-10-21 - Linear Digressions - Data for fighting cancer: followup
2016-10-21 - Data Skeptic - MINI - Calculating Feature Importance
2016-10-20 - Data Stories - Machine Bias with Jeff Larson
2016-10-20 - O’Reilly Data Show - Why businesses should pay attention to deep learning
2016-10-17 - Learning Machines - How to Catch Spammers using Spectral Clustering
2016-10-16 - Linear Digressions - The 19-year-old determining the election
2016-10-14 - Data Skeptic - NYC Bike Share Rebalancing
2016-10-13 - O’Reilly Data Show - Understanding predictive analytics
2016-10-09 - Linear Digressions - How to Steal a Model
2016-10-09 - TWiML Talk #7 – Carlos Guestrin – Explaining the Predictions of Machine Learning Models
2016-10-07 - Data Skeptic - MINI - Random Forest
2016-10-06 - Data Stories - Statistical Numbing with Paul Slovic

Upcoming Conferences

November 2-3 2016, Machine Intelligence Summit, New York, New York
November 4-6 2016, Open Data Science West
November 16-18 2016, The 8th Asian Conference on Machine Learning, The University of Waikato, Hamilton

Blog Listings

R-Bloggers
Revolutions

Please send any suggestions to: Decision Tree We would love to hear from you.

Published Oct 28, 2016 by

Machine Learning

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Under the Decision Tree (#5)

News/Articles

Podcasts

Upcoming Conferences

Blog Listings

Comments

Under the Decision Tree (#5)

News/Articles

Podcasts

Upcoming Conferences

Blog Listings

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