AI News, Why is machine learning so popular?
- On Thursday, October 4, 2018
- By Read More
Why is machine learning so popular?
Traditional analytics like BI are severely limited in that they try to support decisions by surfacing simple trends and patterns and leaving the onus of decision making entirely on the end user.
Translating naive intuitions into hard-coded business rules restricts all software to simplistic low-variable trends that have little to do with real world complexity.
In addition, what has been learned by machine learning can be transferred and scaled across multiple applications and millions of users, which is a much more practical approach to integrating expertise into data-intensive products (which is fast becoming ALL products).
This represents a unique challenge for Data Scientists and Software Developers to meet in the middle, in order to produce applications that have both well-tested explicit instructions, but can also maneuver in situations that cannot be explicitly designed for upfront.
It is a natural outgrowth of humanity’s demand to create technologies that extend our own biology and improve our ability to meet today’s toughest challenges.
- On Thursday, February 21, 2019
TPU Machine Learning (LIVE)
Google just made it really easy for anyone to use a "Tensor Processing Unit" (TPU) to train machine learning models. Their open-source research tool (Google ...
The world is poorly designed. But copying nature helps.
Biomimicry design, explained with 99% Invisible. Check them out here: Subscribe to our channel here: .
But what *is* a Neural Network? | Deep learning, chapter 1
Subscribe to stay notified about new videos: Support more videos like this on Patreon: Or don'
Machine learning models + IoT data = a smarter world (Google I/O '18)
With the IoT market set to triple in size by 2020, and massive increases in computing power on small devices, the intersection of IoT and machine learning is a ...
Lecture 16 | Adversarial Examples and Adversarial Training
In Lecture 16, guest lecturer Ian Goodfellow discusses adversarial examples in deep learning. We discuss why deep networks and other machine learning ...
Lecture 15 | Efficient Methods and Hardware for Deep Learning
In Lecture 15, guest lecturer Song Han discusses algorithms and specialized hardware that can be used to accelerate training and inference of deep learning ...
What is Artificial Intelligence (or Machine Learning)?
What is AI? What is machine learning and how does it work? You've probably heard the buzz. The age of artificial intelligence has arrived. But that doesn't mean ...
Build a Neural Net in 4 Minutes
How does a Neural network work? Its the basis of deep learning and the reason why image recognition, chatbots, self driving cars, and language translation ...
Lecture 16: Dynamic Neural Networks for Question Answering
Lecture 16 addresses the question ""Can all NLP tasks be seen as question answering problems?"". Key phrases: Coreference Resolution, Dynamic Memory ...
Machine Learning & Natural Language Processing (NLP) at Elsevier
Meet the the Content & Innovation team at Elsevier! We're hiring Machine Learning experts in many of our operations and technology locations: Amsterdam, ...