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Faculty research interests include algorithms and theory, AI and machine learning, bioinformatics, cyber-physical systems, computer networks, computer science education, computer vision and image processing, computational topology, data science, high performance computing, human computer interaction, open-source software, robotics and remote sensing, security and privacy, and software engineering.
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Demonstrated coursework / real world application of analytical methods such as Regression, Naïve-Bayes, Decision trees, experimental designs, support vector machines, machine learning and text mining, Natural Language Processing.
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Net, C#, Power BI, Machine Learning, Azure Data Factory, RedShift, UiPath, Cloud, RPA, AWS, Redshift, Python, Data Modeling, SQL, SSIS, SSAS, SSRS, Power Automate, Power Platform, AI Builder, Power Apps, Blue Prism, Automation Anywhere, UiPath Studio, Orchestrator, ERP, QuickBooks, SAP, NetSuite, Oracle, API, JSON, XML, Web Services, SOAP, Postman, Fiddler, Integration, Custom Activities, DLL, Insight, Automation Hub, Task Capture.
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The internship will involve using data science techniques that include predictive modeling, machine learning, text mining, segmentation and clustering to help in developing solutions to increase revenue and improve Member Experience.
$43 an hourPart-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Programming: You are proficient in Python or other high level programming language with experience in using geospatial and machine learning libraries (eg., OpenCV, TensorFlow, PyTorch etc.
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Together, Appen and Figure Eight Federal, combine the best of human and machine intelligence to provide high-quality annotated training data that powers the world's most innovative machine learning (ML) mission solutions.
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Data Analysis: Proficiency in data science tasks, including data visualization, analyzing large datasets, predictive analytics, machine learning, natural language processing, identifying trends, and drawing actionable insights.
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Omni Federal designs, builds and operates data-rich applications leveraging advanced data modeling, machine learning and data visualization techniques to empower our customers to make better data-driven decisions.
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Basic understanding of artificial intelligence/machine learning concepts. We are committed to the continuation of learning, growing, and changing our workplace so every employee can contribute to their life's best work.
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As part of our finance team, you’ll focus on providing the support companies need in their Finance Transformation journey enabled by Oracle Cloud ERP and EPM. You will be part of a team that helps clients rethink their Finance functions as they leverage new Cloud technology including RPA, Machine Learning and Analytics in conjunction with their ERP platform.
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Leads the design, development, and maintenance of predictive analytics, machine learning, and artificial intelligence solutions, making specific determinations about overall performance, reliability, and scalability.
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Data mining, machine learning, statistical modeling tools and underlying algorithms. As a Data Science Sr. Manager at CarMax, you’ll apply your passion and expertise in data, machine learning, and entrepreneurship to create data-science applications that enrich CarMax’s culture of innovation.
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Licenses/Certifications: Maintain Railroad Certifications, Loram Operating Rules Certification and All Loram Required E-Learning, On the Job, and 3rd Party Safety TrainingPREFERRED QUALIFICATIONS:Education: Associated Degree or Technical CertificationWORKING CONDITIONS: The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of the role.
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Regression, clustering, machine learning) with solid business acumen to unlock value within the ecosystem of Energizer. Combining deep experience in business analytics and statistics, s/he will support the team by identifying new and existing analytics problems that can be solved by statistical analysis, data storytelling, and deep business acumen.
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Certifications in data science, machine learning, or business intelligence (e.g., AWS Certified Data Analytics – Specialty, Microsoft Certified: Data Analyst Associate). Solid Mathematical Foundation: A good understanding of statistics, linear algebra, calculus, and probability theory to develop and interpret machine learning models effectively.
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machine learning jobs in St Louis, Hauula, Hawaii
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