These words of wisdom found their way to that part of my brain responsible with long-term memory after watching RIO 2. There was something about that toucan that made this phrase stick. Couple this philosophy with the idea that interviewing and recruiting talent is just like dating and the fact that full time employees spend more time at work than with their spouses at home, and I think you'll agree that working relationships between employees and employers are a lot like marriage. It's not uncommon for companies to take employees for granted and think that just because they are on payroll they will always give 110% or that they will be loyal forever and ever. When all companies want is to take, take, take and think that employees should only give, give, give, their relationship will eventually suffer and their employee turnover rate will get big, big, big. But when both parties treat each other right, and play with all cards on the table, things change.

In our previous post of this blog post series about knowledge graphs and AI in the pharmaceutical and healthcare industry, you got an overview of the challenges knowledge-intensive organizations face to be able to support data-driven innovation and improve healthcare outcome. In this blog post, you will learn by the hand of a use case about how connecting your siloed departmental data with external authoritative resources will leverage the value of your content assets. Visit us at PhUSE EU Connect 2018, where we will introduce the innovative approach of PoolParty Semantic Suite to make the most out of your data with semantic data integration. Stay tuned for upcoming blog posts that will help you understand how knowledge graphs and AI can leverage your organization. Our partner Findwise, global experts in search-driven solutions for the pharmaceutical and healthcare industry, are bringing all their expertise in information management and knowledge engineering into this blog post series. A smart semantic information engine will connect a variety of information systems relevant within the pharmaceutical and healthcare industry.

An LSTM Autoencoder is an implementation of an autoencoder for sequence data using an Encoder-Decoder LSTM architecture. Once fit, the encoder part of the model can be used to encode or compress sequence data that in turn may be used in data visualizations or as a feature vector input to a supervised learning model. In this post, you will discover the LSTM Autoencoder model and how to implement it in Python using Keras. A Gentle Introduction to LSTM Autoencoders Photo by Ken Lund, some rights reserved. An autoencoder is a neural network model that seeks to learn a compressed representation of an input.

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Microsoft has revealed two new training programs to tackle the shortage of AI-related skills in business and academia. What is AI? Everything you need to know about Artificial Intelligence The first of the two programs, Microsoft AI Academy, will run face-to-face and online training sessions for business and public-sector leaders, IT professionals, developers, and startups. "The academy will be helping to develop practical AI skills, learning, and certification for customers and partners," said Cindy Rose, Microsoft UK CEO, speaking at the Future Decoded event in London today. Rose added that Microsoft will use the academy to train up its own staff, including herself. Microsoft's ambition for the academy, she said, is "to empower you and your organization to do more with AI".

As advanced machine learning algorithms are gaining acceptance across many organizations and domains, machine learning interpretability is growing in importance to help extract insight and clarity regarding how these algorithms are performing and why one prediction is made over another. There are many methodologies to interpret machine learning results (i.e. However, some recent R packages that focus purely on ML interpretability agnostic to any specific ML algorithm are gaining popularity. One such package is DALEX and this post covers what this package does (and does not do) so that you can determine if it should become part of your preferred machine learning toolbox. We implement machine learning models using H2O, a high performance ML toolkit. Let's see how DALEX and H2O work together to get the best of both worlds with high performance and feature explainability!

This talk was recorded in London on October 30th, 2018. Slides from the talk can be viewed here: https://www.slideshare.net/0xdata/nea... Session: Travelport is a leading travel commerce platform that has truly huge data and many complex needs in terms of processing, performance and latency. This talk will demonstrate how we were able to harness big data technologies, H2O and cloud integration to deploy AI at scale and at low latency. The talk to cover practical advice taken from our AI journey; you will learn the successful strategies and the pitfalls of near real-time retraining ML models with streaming data and using all opensource technologies. Bio: As principal data scientist at Travelport, Levi Brackman leads a team of data scientists that are putting ML model into production.

This beginner-friendly Python course will take you from zero to programming in Python in a matter of hours.

AI and machine learning have surged at breakneck speed, and organizations are now eager to learn how to design robust AI applications and products. To learn more about how AI and machine learning provide a real competitive advantage and ROI, check out our AI and machine learning infographic below. If you want to take a deeper dive into machine learning, sign up for our FREE online machine learning course here!

Fortnite has gone down ahead of its latest update. Players are unable to get into the game as developers Epic deploy the latest updates. When it does arrive, it will bring a whole host of new features and bug fixes. The I.F.O. is fuelled by eight electric engines, which is able to push the flying object to an estimated top speed of about 120mph. The giant human-like robot bears a striking resemblance to the military robots starring in the movie'Avatar' and is claimed as a world first by its creators from a South Korean robotic company Waseda University's saxophonist robot WAS-5, developed by professor Atsuo Takanishi and Kaptain Rock playing one string light saber guitar perform jam session A man looks at an exhibit entitled'Mimus' a giant industrial robot which has been reprogrammed to interact with humans during a photocall at the new Design Museum in South Kensington, London Electrification Guru Dr. Wolfgang Ziebart talks about the electric Jaguar I-PACE concept SUV before it was unveiled before the Los Angeles Auto Show in Los Angeles, California, U.S The Jaguar I-PACE Concept car is the start of a new era for Jaguar.