Domains targeting keyword applied machine learning)

Naborly lets landlords know exactly who they're renting to, before they move in using Applied Artificial Intelligence and Machine Learning.

Machine learning and AI solutions for a better tomorrow.

Mikhail Langovoy, Data Science Executive and Researcher in Statistics, Machine Learning and Applied Mathematics

Practical, super intuitive guides for developers, analysts, and beginner data scientists. Join our free 7-day crash course on applied machine learning.

Applied Predictive Modeling is a text on the practice of machine learning and pattern recognition.

Machine learning applied to financial translation. Lingua Custodia developed the ONLY automated translation solution dedicated to financial documents.

QCon.ai is a AI and Machine Learning conference held in San Francisco for developers, architects & technical managers focused on applied AI/ML.

Naborly lets landlords know exactly who they're renting to, before they move in using Applied Artificial Intelligence and Machine Learning.

If you're considering a development project, talk to our team. We'll walk you through a brainstorming session where we can scope your project and explain how we can build within your budget.

Current Position September 2016 - present. University Lecturer in Machine Learning (equivalent to US Assistant Professor) at the Department of Engineering in the University of Cambridge, UK. Past Positions September 2014 - August 2016. Postdoctoral fellow in the Harvard Intelligent Probabilistic Systems group, School of Engineering and Applied Sciences, Harvard University, working with Prof. Ryan Adams…

Optellum’s vision is to redefine early cancer interception, so that every patient can be diagnosed & treated optimally in every hospital. Our first product is the first end-end solution for managing patients at high risk of developing lung cancer, based on machine learning applied along the entire pathway.

Homepage of Jesse Read. École Polytechnique, Paris, France.

Applied Data Science, progamming and machine learning projects

IPI International Packaging Institute is an education, networking and service center for the packaging industry. We educate packaging professionals, connect the packaging industry and support the industry with flexible consulting services.

We are scientists, engineers and strategists. We bring tangible value to our clients through mathematics and machine learning. We make AI work for our clients.

Machine Learning, data-science and AI that would help the participants go from a real world business problem to a first cut, working and deployable solution

We're experts in applied AI. We help organisations leverage AI and Machine Learning technologies. We are dedicated to growing our clients’ AI capability.

Genetic Programming applied to Data Mining, Predictive modelling, Regression and Classification. Discipulus is faster and produces better models than Neural Networks, decision trees, support vector machines, Artificial Neural Network Applications, Algorithms Software, Predictive Models, and ROC Curve.

A website devoted to data visualisation, machine learning and statistics. All applied to brain imaging research.

2000 attendees. 120 speakers. World Summit AI is most important event in the AI calendar, built on a global network of over 100+ annual AI events

London based data science and analytics consultancy. Start applying machine learning to your data to drive measurable value - book a free consultation today.

Machine learning techniques are increasingly being used in medical image analysis. In particular, the CNN (Convolution Neural Network) method, which has shown great successes in object recognitions, has been widely applied to analyze high-levl features from medical images. Unfortunately, owing to the limitation of gathering clinical data, this method has faced obstacles in the clinical…

Thoughts on applied AI and machine learning

The CeDAWI is an Applied Research Center for Data Analytics and Web Insights dedicated to promote, support and maintain research projects, academic programs and industry collaborations in area of Data Mining and Analytics.

OWKIN - Efficient Data. Effective Medicine. Artificial Intelligence to make accurate medical prédictions. Big Data Science applied to health sector

Felix Juefei Xu | Electrical and Computer Engineering | ECE | CyLab Biometrics Center | Carnegie Mellon University | CMU. I'm a Ph.D. research fellow at Electrical and Computer Engineering Deparment, Carnegie Mellon University. I'm currently working in a research group specializing in pattern recognition, machine learning, computer vision, and image processing, especially as applied to the field of biometrics, in Carnegie Mellon CyLab Biometrics Center under the supervision of Professor Marios Savvides. Prior to that, I had my Bachelor's degree in Electronic Engineering in 2009 from Shanghai Jiao Tong University, Shanghai, China. I'm a Graduate Student Member of the IEEE and also a Member of the IEEE Computer Society and the IEEE Signal Processing Society. My research interests are biometrics, pattern recognition, machine learning, computer vision, and image processing.

Machine learning plays an important role in many aspects of modern IR systems, and deep learning is applied to all of those. The fast pace of modern-day research into deep learning has given rise to many different approaches to many different IR problems. What are the underlying key technologies and what key insights into IR problems are they able to give us? This full-day tutorial gives a clear overview of current tried-and-trusted neural methods in IR and how they benefit IR research and our understanding of IR problems. Additionally, we peek into the future by examining recently introduced paradigms as well as current challenges. Expect to learn about neural networks in semantic matching, ranking, user interaction, and response generation in a highly interactive tutorial.

Seth Flaxman is a lecturer in statistics at Imperial College London, working on Bayesian machine learning applied to public policy.

Thoughts on applied AI and machine learning