Search results for Bayesian Modeling Development Programming

    Found 10 documents, 10397 searched:

  • Software Suites/Platforms for Analytics, Data Mining, Data Science, and Machine Learning

    ...tor ML models at scale. Statistica Data Miner, a comprehensive, integrated statistical data analysis, graphics, data base management, and application development system. Synapse, a development environment for neural networks and other adaptive systems, supporting the entire development cycle from...

    https://www.kdnuggets.com/software/suites.html

  • The Current State of Automated Machine Learning

    ...projects are open source, written in Python, and aimed at simplifying a machine learning process by way of AutoML, in contrast to Auto-sklearn using Bayesian optimization, TPOT's approach is based on genetic programming. While the approach is different, however, the outcome is the same: automated...

    https://www.kdnuggets.com/2017/01/current-state-automated-machine-learning.html

  • If you’re a developer transitioning into data science, here are your best resources">Gold Blog If you’re a developer transitioning into data science, here are your best resources

    ...for Machine Learning in Python) Springboard AI/ML-specific track   Textbooks: * tried to find free PDFs online for most of these* Probabilistic Programming & Bayesian Methods for Hackers Probability and Random Processes Elements of Statistic Learning Linear Algebra Done Right Introduction...

    https://www.kdnuggets.com/2019/06/developer-transitioning-data-science-best-resources.html

  • Online Courses in Predictive Analytics, Machine Learning, Data Science from Statistics.com

    ...s (used in CRM, online advertising and brand analysis). Taught by author Nitin Indurkhya, who first coined the term Big Data in 1998. Sep 26 - Oct 24 Bayesian Statistics in R (4 weeks, online) Learn how to run Bayesian regression models in R - linear, linear regression, poisson, logit and negative...

    https://www.kdnuggets.com/2014/01/online-courses-predictive-analytics-machine-learning-data-science-statisticscom.html

  • KDnuggets™ News 13:n17, July 17

    ...usiness minds and scientists and aims to drive transformational change through evidence-based decision making, solving complex business problems, and development of next generation modeling techniques. Maps Senior Data Scientist at Apple, Cupertino, CA - Jul 4, 2013.Changing the world is all in a...

    https://www.kdnuggets.com/2013/n17.html

  • Why You Should Attend the Data Science Summit 2016 and 9 Talks To Be Excited About

    ...a S.B. in 2004 and Ph.D. in 2009 from the Department of Electrical Engineering and Computer Science at MIT. Her research interests are in large-scale Bayesian dynamic modeling and computations. She has received numerous awards: Sloan Research Fellowship (2015) ONR Young Investigator award (2015)...

    https://www.kdnuggets.com/2016/07/data-science-summit-2016-9-talks.html

  • SanDisk: Senior Big Data Engineer/Hadoop Developer

    ...nalytics tools, traditional and advanced. Solid fundamentals, Basic knowledge of machine learning algorithms, classification, clustering, regression, Bayesian modeling, probability theory, algorithm design and theory of computation, linear algebra, partial differential equations, Bayesian...

    https://www.kdnuggets.com/jobs/16/02-03-sandisk-big-data-engineer-hadoop.html

  • SanDisk: Senior Staff Hadoop Developer

    ...nalytics tools, traditional and advanced. Solid fundamentals, Basic knowledge of machine learning algorithms, classification, clustering, regression, Bayesian modeling, probability theory, algorithm design and theory of computation, linear algebra, partial differential equations, Bayesian...

    https://www.kdnuggets.com/jobs/16/01-20-sandisk-senior-staff-hadoop-developer.html

  • Aalto: Postdocs in machine learning and related areas

    ...work, and interdisciplinary applications. Postdoc in constraints and optimization Candidates having a strong background in constraint and rule based modeling (e.g. answer set programming, constraint satisfaction, propositional satisfiability and its extensions) and optimization techniques are...

    https://www.kdnuggets.com/academic/13/02-13-aalto-postdocs-machine-learning-related-areas.html

  • KDnuggets Top Blogger: An Interview with Brandon Rohrer, Top Data Scientist

    ...the great content you consistently share with our readers, as well as on your own blog and beyond. Brandon Rohrer recent KDnuggets posts include: How Bayesian Inference Works - 15 Nov 2016 Bayesian inference isn’t magic or mystical; the concepts behind it are completely accessible. In brief,...

    https://www.kdnuggets.com/2017/02/top-blogger-interview-brandon-rohrer-data-science.html

Refine your search here:

Sign Up

By subscribing you accept KDnuggets Privacy Policy