Eko Analytics is a registered data analytics firm which specializes in machine learning, business intelligence, Statistical Inference, computing and data visualization... We provide consultancy services for renewable and hybrid power projects across..
AIPI3 is an artificial intelligence, machine learning, and data engineering platform which integrates agile data mining, innovative machine learning algorithms, and progressive big data science... Our team has witnessed firsthand how businesses are..
Simplifio is a company which utilizes automation and machine learning to make your product data fly...
Simplifio builds and maintains Product Data- and Machine Learning based services online. From smart Price Comparison engines to Feed Management...
In a world increasingly awash in data, in which learning is no longer a term relevant only to humans, but also to machines, and in which disruptive competitive pressures never relent, Optimizing Data-to-Learning-to-Action delivers the powerful new..
The game is based on real machine learning tech which is a vital tool to succeed in the game. Our goal is to make Learning Factory a fun and gentle way to learn basic things of data analysis and machine learning...
Our team works with multiple data sources including satellite data and ground-based remote sensing data from multiple sources. We combine this with proprietary data from the platforms of the companies and organizations with which we work to discern..
ActiveWizards is a team of experienced data scientists and engineers focused on complex data projects. We provide high-quality data science, machine learning, data visualizations, and big data applications services... ActiveWizards machine learning..
Here is a brief history of CloudyML company. CloudyML was born in May 2021 with a vision of making data science learning easy, enriching, and ensuring. The cornerstone of CloudyML data science courses is that learning data science necessitates actual..
I am currently an undergraduate student studying computer science at Georgia Tech driven to create technological solutions with the power of big data and AI. I have dqone this through contributing to data-driven software products at Microsoft and..
The Machine Learning Group at the University of Waikato helped shape the open-source community in the machine learning space with its well-known machine learning workbench WEKA. WEKA was mainly aimed at batch-processing, though it also had some..
Over the past two decades, high-throughput data collection technologies have become commonplace in most fields of science and technology, and with them an ever-increasing amount of big high dimensional data is being generated by virtually every real-..
I began my professional career as a federal consultant mainly in the national security and defense sectors. Throughout my time at Deloitte, I grew deeply interested in how to shape structured and unstructured data into compelling visualizations and..
A Data Scientist currently working at IBM. Right now doing R&D on product STAAR(Self-Learning Ticket Assignment and Routing) where we perform Data Analysis, Machine Learning, Deep Learning and Natural Language Processing on support tickets and..
Zenzium has developed an Artificial Intelligence (AI) approach, more specifically a deep learning technology, to identify and predict exacerbations in chronic diseases from physiological and other data. We apply deep learning to multivariate time-..
We incorporate data, machine learning and analytics alongside a strong behavioural science and visual design capability to provide lasting value across all the projects we deliver... Data and machine learning technologies are fundamentally changing..
SHELDON AI is a data sciences company with expertise in providing machine learning solutions to businesses ranging from startups to Fortune 500 companies. Our competitive edge lies in our specialization in deep learning and neural network techniques,..
On the other hand, we focus on training models with both machine and deep learning and labelling data sets for different projects. The latter allows us to classify non-coded data using trained models backed by human validation workflow, which..
Identified which Enron employees are more likely to have committed fraud using machine learning and public Enron financial and email data;... Gained practice in feature engineering, model selection, hyper-parameters tuning, validation strategies and..
Predictia emerged in 2008 as a spin-off company from the data mining group at the University of Cantabria. Our aim is to offer data management and modelling solutions for in scientific challenges, specially those linked to climate and health. We are..
Our central motivation is to understand animal and machine intelligences, and in particular how learning and memory arises in such systems. We believe that all intelligences operate under certain shared principles, much like all matter and energy are..
PyODDS is an end-to end Python system for outlier detection with database support. PyODDS provides outlier detection algorithms which meet the demands for users in different fields, w/wo data science or machine learning background. PyODDS gives the..
In a nutshell, the FlexGP project goal is scalable machine learning using genetic programming (GP)... Genetic programming is a mature, robust multi-point search technique (inspired by evolution) which supports readable, and flexibly specified..
Emerald Clinics is a team of medical doctors, clinical researchers and data scientists who deliver evidence-based healthcare through its clinics and collaborating partners. We utilise a unique data platform to capture and aggregate anonymous clinical..
Research Blogs of Qdata Team in the University of Virignia Computer Science Department... This front adapts from our legacy website deepchrome.org (later to deepchrome.net) and introduces updates of a suite of deep learning tools we have developed..
We have developed of a general framework of distributed learning (also known as collaborative learning) methods with novel inferential procedures that integrate sensitive biomedical data (e.g., EHR data and biobank data) across multiple institutes...
We work on open-source data projects and do education,consulting, and training in machine learning and statistics. From time to time, we release our open data work through free and open-source materials(projects) which we share through our data lab...
The triumph of artificial intelligence is accompanied by an intensive discussion about the algorithms and machine learning methods used there... Deep learning and neural networks, which are widely used in machine learning, are experiencing a..
Learning is a commonality, mindfulness, or comprehension of somebody or something, for example, realities, data, depictions, or abilities, which is procured through involvement or training by seeing, finding, or learning...
Thingstel is a leading provider of end to end IoT solutions integrating the latest innovations in Network Technologies, Cloud Computing, Big Data, Machine Learning, and Artificial Intelligence to offer data-driven decision support which in turn..
I am part of the Hardware Accelerated Learning (HAL) group at USC. We focus on co-designing algorithms and hardware for reduced complexity training of Neural Networks... We investigate the problem of training RE models in the low data regime. To..