The current state of applied data science
Recent trends in practical use and a discussion of key bottlenecks in supervised machine learning.
Recent trends in practical use and a discussion of key bottlenecks in supervised machine learning.
Startup Talk, History Tables, DNA in a Box, and Sans Font
Machine learning opens the door for the use of training rather than programming in game development.
Multi-Cloud, GIS Politics, Board Meetings, and Programming Biology
Cloud Operations, Machine Learning Radio, Flying Cameras, and Text Organization
How organizations can create more fluid interactions between humans and machines.
Neural Style Transfer, Hype Cycles, Automation and Jobs, and Become a Bayesian
Implementing Compression, Eliminating Humans, Mapping NES, and Classifying Defects
IoT Hacking, Virtual School Fails, Neural Network NLP, and Using Logical Fallacies
P != NP, Open Source Lab Notebook, Science Data, and Anonymous Feedback
Robotics Interviews, Customer Development, Engineering Method, and Complex System Failures
Practical questions to help you make a decision.
Cracking Wi-Fi, Hacking with DNA, Animation Playthings, and Physics Simulation
Sarcasm Detector, GMO Salmon, New Deep Learning Courses, and Serverless Malware Detection
Event Trend Detection, Separation of Duties, Online Communities, and Autonomous Tractors
Better Bloom Filter, AI Future, Adversarial Benchmarking, and Civilized Discourse
A look ahead at the tools and methods for learning from sparse feedback.
Social Agents, Computational Zoom, Living Memory, and AI Policy