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Subject Matter Depth and Breadth with some of the following statistical, econometric, data science, and predictive modeling approaches: Unsupervised Learning; K-Means; Linear Regression; Time-Series/Forecasting; Stress Testing; Logistic Regression; Gaussian Process; Simulation Models; Boosting/Bagging Trees; Neural Networks; Deep Learning Concepts; Bayesian Estimators.
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Experience with data modeling, data prep and machine learning tools like Alteryx, RapidMinder, RStudio and Tableau Prep. Experience with statistical and mathematical modeling, artificial intelligence and machine learning software and methods.
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Support the district implementation of Social Emotional Learning and School Mental Health policy. Support the district implementation of Social Emotional Learning and School Mental Health policy.
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Not only do we have a complete menu of services, including Lash Extensions, Brow Lamination, Lash Lift Perms, Threading, Tinting, and Permanent Makeup, but we also have a network of Lash Artists nationwide growing and learning every day.
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Cognizant AI & Analytics practice helps clients transform their data into insights and actions, leveraging cutting-edge technologies in data engineering, data science, artificial intelligence, machine learning, and business intelligence.
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Child Care Resources Inc. (CCRI) is a private, non-profit child care resource and referral (CCR&R) agency that works with families and communities to help ensure that all children have access to high-quality, affordable early learning and school-age opportunities and experiences that enable them to succeed in school and in life.
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This "earn while you learn" program is designed to challenge and grow individuals through a series of core components including on-the-job training, classroom learning on a Central Piedmont Campus, assigned mentors, and other avenues for learning.
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We recently changed our degree requirement and now accept a larger variety of Human Services degrees such as: Clinical Social Work, Counseling, Criminology/ Criminal Justice, Gerontology, Human Development Learning, Human Services, Psychology, Social Science, Sociology, Substance Abuse Rehabilitation.
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Must be capable of learning to operate various types of heavy equipment : Bucket, derrick and boom trucks Backhoes, excavators and skid steer loaders Articulating Man-lifts Pressure Diggers Trenchers Track Crawler Loader/Backhoe Rough Terrain Telescopic Forklifts Willing to work over-time or long hours during emergency conditions and/or when requested.
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Established the ODYSSEY program to enhance the new physician and APP experience by empowering our providers to connect, explore and evolve within a culture of continuous learning and teamwork to build a high performing provider network.
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Nice to have: Experience with full-stack engineering development for deep learning and LLM solutions, and contributing to Github and open source initiatives or in research projects. S&P is a leader in risk management solutions leveraging automation and AI/ML. This role is a unique opportunity for a hands-on full-stack engineer and application developer to grow into the next step in their career journey and apply her or his domain expertise for leading the integration of front-end applications and APIs for deep learning, GenAI, and LLM back-end models to drive business value for multiple stakeholders.
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The IDEA helps our organization embrace diverse business practices, creates a sense of community through colleague resource groups, reminds our leaders to sponsor and embrace diversity, equity, and inclusion, and encourages cultural competence and awareness through company-wide resources for learning.
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Experience with AI technologies, including machine learning and natural language processing (NLP). We embrace a culture of teaching and learning through cross mentoring that spans generations, disciplines, talents, and interests and we strive to give each person exposure to the widest possible array of experiences.
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Experience with Supervised and Semi-Supervised Learning, Deep Learning, Support Vector Machines, Linear and Logistic Regression. Knowledge of a variety of machine learning techniques (semantic segmentation, clustering, decision tree learning, artificial neural networks, etc.
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Machine Learning: SparkSQL, Java, Scala, Python, Jupyter. At Blueprint, you'll have the opportunity to work with multiple clients and teams, such as data science and product development, all while learning, growing, and developing new solutions.
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learning job Title: engineering in Charlotte, NC
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