Sentences with phrase «in big data projects»

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Average home prices in Dandong rose nearly 1 percent in April from March, according to data from the China Real Estate Association, compared with a 0.5 percent decline in the same period a year earlier, although city - wide averages tend not to fully reflect big price fluctuations at individual projects.
Multinational retailer Landmark Group, based in India, tackled a big project when it sought to expand its loyalty program without losing any data.
Thankfully, two software engineers, a Google big data project, and some careful analysis have already done the heavy lifting, revealing the simple trick to getting the top comment in most...
July was the biggest month for coin offerings, with 34 projects raising $ 665 million, Tokendata.io data shows — or twice as much money as was raised in the first five months of the year combined.
According to researchers at McGill, using the data from the At Home / Chez Soi project, «Support services for homeless people with mental illness in Canada's biggest cities cost more than $ 55K a year per person on average.»
Didi is becoming big in big data and, according to latest announcements, their new project is set to change how cities look at mobility.
«Our motivation was to take on this task, pushed by the greater availability of «big data» in various governmental and private organizations — such as the U.S. Social Security Administration, Gallup, and the Google Books Library project — as well as recent advances in forecasting methods,» says Grossmann.
Data sharing among countries is the biggest challenge to global scientific collaboration in Earth Science according to my experience in a Sino - German project.
Through its Exacycle project, Google has lent some of its considerable computing muscle to a half - dozen big data problems being tackled in academia.
The project will use big - data techniques to mine existing utility data to look for patterns in cascading outages, identify high - risk conditions for them and target mitigation efforts to those conditions.
The project will also demonstrate its competence in emerging application areas with highly demanding requirements requiring cloud and Big Data technologies such as machine - to - machine, Internet of Things and smart * (smart grid, smart cities, smart transport, etc.) and other more traditional areas such as online applications, multimedia applications, or distributed games demanding Big Data support to go beyond their current functionalities.
The big data project is publicly available at the Mouse Connectome Project and will aid in the leap toward precision medicine, Donproject is publicly available at the Mouse Connectome Project and will aid in the leap toward precision medicine, DonProject and will aid in the leap toward precision medicine, Dong said.
In an interview with CNN, Kulinskaya emphasized the Big Data nature of the project, noting that it was collected over a long period of time and is completely anonymous.
Here they will take four 5 ECTS courses and conduct a 10 ECTS project, which will enable them to strengthen their skills in digital and big data visualization and analysis in collaboration with external partners.
In his closing remarks, BTI President David Stern noted the high quality of the research projects and the large number of posters and talks describing research that used Big Data — large and complex data sets that require computer programs to fully analData — large and complex data sets that require computer programs to fully analdata sets that require computer programs to fully analyze.
One landmark example is the major effort to tackle common challenges in the era of big data: the Helix Nebula project, for instance, brought together three EIROforum partners — CERN, ESA and EMBL — along with private data service providers to deliver cloud computing services for science.
Katherine Pollard, PhD, is serving as an advisor to the newly launched National Microbiome Initiative, bringing her expertise in bioinformatics and big data to the national project.
Examples of science projects enabled by the data in the High - Latitude Survey include: mapping the formation of cosmic structure in the first billion years after the Big Bang via the detection and characterization of over 10,000 galaxies at z > 8; finding over 2,000 QSOs at z > 7; quantifying the distribution of dark matter on intermediate and large scales through lensing in clusters and in the field; identifying the most extreme star - forming galaxies and shock - dominated systems at 1 < z < 2; carrying out a complete census of star - forming galaxies and the faint end of the QSO luminosity function at z ~ 2, including their contribution to the ionizing radiation; and determining the kinematics of stellar streams in the Local Group through proper motions.
They offer courses in digital marketing, project management, cyber security, Salesforce, Big Data, and cloud computing.
It lets project managers make accurate data - based decisions keeping in mind the big picture.
Along this journey, big ideas in the curriculum include: «Systems, Data and Algorithms» introduced from Foundation, Year 1 and Year 2; «Digital Collaboration» introduced from Band / Stage 2 (Years 3 and 4); «Requirements Specification and User Interface / Experience Design» introduced from Band / Stage 3 (Years 5 and 6); «Project Management» introduced from Band / Stage 4 (Years 7 and 8); and by Stage / Band 5 (Years 9 and 10): «Modularity and Object Orientation».
In 2008, the Strategic Data Project (SDP)-- a project within the Harvard Graduate School of Education — based Center for Education Policy Research (CEPR) at Harvard University — began as a pilot program with two partners and big dreams to create a network of data strategists working in schools, agencies, and nonprofits across the countrIn 2008, the Strategic Data Project (SDP)-- a project within the Harvard Graduate School of Education — based Center for Education Policy Research (CEPR) at Harvard University — began as a pilot program with two partners and big dreams to create a network of data strategists working in schools, agencies, and nonprofits across the counData Project (SDP)-- a project within the Harvard Graduate School of Education — based Center for Education Policy Research (CEPR) at Harvard University — began as a pilot program with two partners and big dreams to create a network of data strategists working in schools, agencies, and nonprofits across the cProject (SDP)-- a project within the Harvard Graduate School of Education — based Center for Education Policy Research (CEPR) at Harvard University — began as a pilot program with two partners and big dreams to create a network of data strategists working in schools, agencies, and nonprofits across the cproject within the Harvard Graduate School of Education — based Center for Education Policy Research (CEPR) at Harvard University — began as a pilot program with two partners and big dreams to create a network of data strategists working in schools, agencies, and nonprofits across the coundata strategists working in schools, agencies, and nonprofits across the countrin schools, agencies, and nonprofits across the country.
Big data multimodal learning analytics tools for automated assessment in project based education
He has been a driving force in getting these publishers to deal with this library in these pilot projects and giving them all the big data they need to gauge if it's a success.
Through 142 photographs with accompanying data, the project exposed the properties and transactions of one of the biggest real estate holders in New York, primarily concentrated in the Lower East Side and Harlem.
Here it is in a nutshell... Solve Problems over Predefined Solutions, Experiences over Designs, Product over Project, Value over Volume, Data Driven over Opinion, Iterative over Big Bang, Adaptability over Constraints.
«In the CMDV project, we have a big observational team familiar with ARM data working with a team of global modelers.»
The biggest mistake of the establishment was to ignore the longer term cycles and to project forward several decades of data linearly when we are obviously approaching, at or just past a peak in a millennial cycle.
And it's also no wonder why projects like the IBM and Syracuse University data center which is among the greenest in the world are a big deal.
In complex, large - scale litigation and regulatory investigations, the level of electronic information is too big to by hand sort, organize and review (also known as objective coders, database coders, legal coders, or litigation coders) review and code documents, files along with other data so the litigation team can easier search and retrieve information throughout the situation or project.
«The Big Picture in Capturing, Analyzing Data Ecosystems Main What Does an E-Discovery Project Look Like?»
It's part of Project Maven, aka, Algorithmic Warfare Cross-Functional Team (AWCFT)(PDF), a Pentagon - driven project started last April to make use of big data and machine learning tech to advance the DoD's capabilities in theProject Maven, aka, Algorithmic Warfare Cross-Functional Team (AWCFT)(PDF), a Pentagon - driven project started last April to make use of big data and machine learning tech to advance the DoD's capabilities in theproject started last April to make use of big data and machine learning tech to advance the DoD's capabilities in the field.
In this week's episode of the Structure Show, Derrick Harris recounts his big data adventures at a Chicago data mining show and Microsoft's (s msft) latest open - source project.
There are four key trends within the market: 1) Application projects driven by digitization, paperless working and data - management trends (BI and Big - Data) 2) Financial Regulatory projects including banking transformation due to regulation (e.g. Mifid, Fatca, EMIR and Prybs) 3) IT infrastructure outsourcing: Luxembourg is one of top countries for datacenters with powerful players in the market (IBM, EbRC or CSC) and multiple «Tier IV» datacentres 4) Security and risk control consulting focused on control and governadata - management trends (BI and Big - Data) 2) Financial Regulatory projects including banking transformation due to regulation (e.g. Mifid, Fatca, EMIR and Prybs) 3) IT infrastructure outsourcing: Luxembourg is one of top countries for datacenters with powerful players in the market (IBM, EbRC or CSC) and multiple «Tier IV» datacentres 4) Security and risk control consulting focused on control and governaData) 2) Financial Regulatory projects including banking transformation due to regulation (e.g. Mifid, Fatca, EMIR and Prybs) 3) IT infrastructure outsourcing: Luxembourg is one of top countries for datacenters with powerful players in the market (IBM, EbRC or CSC) and multiple «Tier IV» datacentres 4) Security and risk control consulting focused on control and governance.
In fact, some of technology's biggest players host regular hackathons — IBM uses them as a portal for digital professionals to start new projects and work with interesting data, and Dropbox runs a yearly hack week where employees can work on anything they want.
Professional Summary Sr IT Technical Project / Program Manager in Digital Media, Mobile, Pharma, Machine Learning, Ecommerce Web Development and Pharma, with strong leadership skills in the areas of strategic planning, pharma compliance, big data management using Cloudera Hadoop, manage digital media mobile and web design and development, systems, and systems management.
Garnered extensive knowledge in Governance, Risk And compliance, Business analytics, Enterprise Risk Management, Internal Audit, Financial Analysis, Big Data Analytics, Project Management and Internal Control / Co...
Karlsruhe, Germany About Blog Blue Yonder, a company that uses algorithms developed for processing the data created as part of the CERN project for predictive modelling, regularly posts updates on its work and developments in Germany's Big Data ecosphdata created as part of the CERN project for predictive modelling, regularly posts updates on its work and developments in Germany's Big Data ecosphData ecosphere.
A challenging position for development projects in the field of Big data infrastructure & ETL pipelines, Machine Learning (Deep learning), Natural Language Processing, Data mining & Analytics, Machine Translation which builds upon my 24 years of software development experience on Windows / Mac / Linux by using Python, C / C + +, Scala, JAVA, Javascript, AJAX, JSON, SQL, NoSQL, Cloud (Docker), Machine learning, Keras, Tensorflodata infrastructure & ETL pipelines, Machine Learning (Deep learning), Natural Language Processing, Data mining & Analytics, Machine Translation which builds upon my 24 years of software development experience on Windows / Mac / Linux by using Python, C / C + +, Scala, JAVA, Javascript, AJAX, JSON, SQL, NoSQL, Cloud (Docker), Machine learning, Keras, TensorfloData mining & Analytics, Machine Translation which builds upon my 24 years of software development experience on Windows / Mac / Linux by using Python, C / C + +, Scala, JAVA, Javascript, AJAX, JSON, SQL, NoSQL, Cloud (Docker), Machine learning, Keras, Tensorflow...
Program / Account Manager / Project Manager for CSC's Big Data & Analytics Practice with extensive IT (Service Delivery, Portfolio management and SDLC experience) focused on leading and managing strategic complex programs / projects in matrixed and global environments for Fortune 500 companies in various industries including, Insurance, Oil & Gas, Healthcare, Financ...
«In order to move beyond the pre-canned automated valuation models (AVMs), or even baseline reporting on a home's past value adjusted for current sales, we need bigger data sets and stronger algorithms to project future value with a high degree of accuracy,» says Dave Garland, a partner with Second Century Ventures and the director of Strategic Investments for the National Association of REALTORS ®.
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