Software Engineering Challenges of Deep Learning
Oct 29 2018 Data dependencies have been found to build similar debt as code dependencies. Few tools currently exist for evaluating and analyzing data ...
5656-hidden-technical-debt-in-machine-learning-systems.pdf
Machine learning offers a fantastically powerful toolkit for building useful com- The challenges of building machine learning tools for the masses.
Grounding interactive machine learning tool design in how non
Emerging research addresses this issue by creating ML tools that are easy and accessible to people who are not formally trained in. ML (“non-experts”). This
Power to the People: The Role of Humans in Interactive Machine
has been made thus far we discuss some of the challenges we face in moving the field forward. Introduction. Machine learning is a powerful tool for
Driving impact at scale from automation and AI
Notes from the AI frontier: Applications and value of deep learning. On the people front much of the construction and optimization of deep neural networks
Opportunities and Challenges of New Technologies for AML/CFT
Creating an enabling environment for the use of new technologies in AI and machine learning tools or solutions can also generate more accurate.
There Are No Colorblind Models in a Colorful World: How to
People Analytics Tool to Build Equitable Workplaces. Artificial intelligence and machine learning are revolutionizing the practice of HR management.
Building Machines That Learn and Think Like People
Mar 15 2016 Here we present two challenge problems for machine learning and AI: learning simple visual concepts. (Lake
workforce-of-the-future-the-competing-forces-shaping-2030-pwc.pdf
Together we build tailored people and organisation solutions with a deep HR challenges – at a time when business leaders are already wrestling with ...
Deep learning neural network tools for proteomics
Mass-spectrometry-based proteomics enables quantitative analysis of thousands of human proteins. How- ever experimental and computational challenges
