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Machine learning will cover everything from data science, Artificial intelligence, business analytics, deep learning, and computer science. In our Data science track we prepare you to get job as one of the following: Python developer, a data analyst, data visualization developer, a statistician, a machine learning engineer or a data scientist.
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Projects require thorough understanding of the Penn data warehouse, relational database technology and extensive use of MS Access, Excel, and descriptive statistics for data mining, data analysis, machine learning, and Artificial Intelligence techniques and to prepare client presentations and reports.
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The courses may include Foundations of Data Analytics and Programming, Advanced Excel for Data Analytics, Data Governance, Management and Quality, Data Visualization-Power BI, Data Visualization-Tableau, Data Privacy and Integrity, Data Protection, Descriptive Analytics, Predictive Analytics, Data Complexity, Cloud Analytics, Big Data, various programming courses and concepts involving python, r and ML, and database courses (including MySQL, Microsoft SQL Server and NoSQL alternatives.
$1,054 an hourPart-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Develop, deploy, evaluate, and improve machine learning data analytics based on supervised and unsupervised machine learning flows for efficient device model generation and data mining.
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Ideal candidates have a strong publication record in areas including artificial intelligence data mining, machine learning, natural language processing, and/or fields such as cognitive science, learning analytics, and psychometrics.
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As a data scientist, you will be tackling time-series based machine learning problems to help build the next generation of algorithms that will provide early prediction for these patients and their doctors.
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Amida is currently looking for a Data Engineer to join our team in Washington, DC. In this role you will work across our client engagements, providing expertise in machine learning algorithms, natural language processing (NLP), data collection, data analysis, data mapping, data profiling, data mining, data modeling, and data visualization.
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Experience in host-microbiome interaction modeling and/or machine learning and Artificial Intelligence in analysis of HTP biological data a plus. PreferredA demonstrated interest in creating a collaborative research environment, prior experience in multi-institution collaborations or consortia, applications of machine learning and artificial intelligence in biomedical research, and a robust publication history is preferred.
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Apply computational tools and machine learning/deep learning techniques to analyze and interpret complex biological data relevant to drug discovery. Strong proficiency in programming (e.g., SQL, Python, R, MATLAB), database technologies (Oracle, mySQL, relational databases; graph databases are a plus), machine learning/deep learning (network architectures are a plus), dimensionality reduction techniques (e.g., PCA), and possible cheminformatics software suites.
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The Research Data Scientist participates in biomedical research projects using programming, data-mining, statistics, machine learning, and visualization techniques to develop, evaluate, and/or apply algorithms and software for data analysis.
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Lead team focused on new technologies such as process automation, complex predictive modeling, artificial intelligence, machine learning and computer vision to improve how we do business.
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Deep knowledge in Machine Learning, Deep Learning, Data Mining, Information Retrieval, Statistics. Machine Learning Scientist – Quant AI - Vice PresidentThe Machine Learning Center of Excellence invites the successful candidate to apply sophisticated machine learning methods to a wide variety of complex tasks including natural language processing, speech analytics, time series, reinforcement learning and recommendation systems.
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The contractor shall serve as SCO technical and sustainment manager /executor for the AMC Predictive Analytics Suite (APAS) and Vantage data platform. The contractor shall analyze data requirements and map and manage evolving requirements to capabilities in APAS, Vantage, Advance Analytics (ADVANA), and Strategic Support Area Business Reporting Environment (SABRE.
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Deep expertise in one or more of the following areas: mathematical & statistical modelling, atomistic simulation, multiparameter optimisation, machine learning, computational chemistry, quantitative structure-activity relationships (QSAR) modelling.
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You will work within a multi-disciplinary team with computational expertise in machine learning (ML), molecular simulation, optimization, and protein structure bioinformatics, and interface with our experimental team generating large datasets with novel high throughput assays aimed at informing predictive model development.
$159,324 - $245,544 a yearFull-timeExpandApply NowActive JobUpdated Today
machine learning data mining predictive analytics jobs Title: scientist Company: Exelon Corporation
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