10 machine learning algorithms every engineer needs to know
When it comes to machine learning, it's all about the algorithms. But although machine learning algorithms are the bread and butter of a data...
Top Research papers showcased at NIPS 2017 – Part 1
The ongoing 31st annual Conference on Neural Information Processing Systems (NIPS 2017) in Long Beach, California is scheduled from December 4-9, 2017. The 6-day...
Top Research papers showcased at NIPS 2017 – Part 2
Continuing from where we left our previous post, we are back with a quick roundup of top research papers on Machine Translation, Predictive Modelling,...
20 lessons on bias in machine learning systems by Kate Crawford at NIPS 2017
Kate Crawford is a Principal Researcher at Microsoft Research and a Distinguished Research Professor at New York University. She has spent the last decade...
3 great ways to leverage Structures for Machine Learning problems by Lise Getoor at...
Lise Getoor is a professor in the Computer Science Department, at the University of California, Santa Cruz. She has a PhD in Computer Science...
NIPS 2017 Special: 6 Key Challenges in Deep Learning for Robotics by Pieter Abbeel
Pieter Abbeel is a professor at UC Berkeley and a former Research Scientist at OpenAI. His current research focuses on robotics and machine learning...
NIPS 2017 Special: How machine learning for genomics is bridging the gap between research...
Brendan Frey is the founder and CEO of Deep Genomics. He is the professor of engineering and medicine at the University of Toronto. His...
NIPS 2017 Special: Decoding the Human Brain for Artificial Intelligence to make smarter decisions
Yael Niv is an Associate Professor of Psychology at the Princeton Neuroscience Institute since 2007. Her preferred areas of research include human and animal...
NIPS 2017 Special: A deep dive into Deep Bayesian and Bayesian Deep Learning with...
Yee Whye Teh is a professor at the department of Statistics of the University of Oxford and also a research scientist at DeepMind. He...
10 Machine Learning Tools to watch in 2018
2017 has been a wonderful year for Machine Learning. Developing smart, intelligent models has now become easier than ever thanks to the extensive research...
Must Read in Mobile
Understanding the Foundation of Protocol-oriented Design
When Apple announced Swift 2 at the World Wide Developers Conference (WWDC) in 2016, they also declared that Swift was the world’s first protocol-oriented...
