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  • MOOC 
    Machine Learning and Computational Statistics

    Machine Learning and Computational Statistics

    This course covers a wide variety of topics in machine learning and statistical modeling. While mathematical methods and theoretical aspects will be covered, the primary goal is to provide students with the tools and principles needed to solve the data science problems found in practice. This course also serves as a foundation on which more specialized courses and further independent study can build. This course was designed as part of the core curriculum for the Center for Data Science's Masters degree in Data Science. Other interested students who satisfy the prerequisites are welcome to take the class as well. Note that class is intended as a continuation of DS-GA-1001 Intro to Data Science, which covers some important, fundamental data science topics that may not be explicitly covered in this DS-GA class (e.g. data cleaning, cross-validation, and sampling bias).

    Course related:
    LGT6801 Guided Study in Logistics I
    Subjects:
    Computing and Mathematics and Statistics
    Keywords:
    Big data Data mining Machine learning Mathematical statistics -- Data processing
    Resource Type:
    MOOC
     
  • Video 
    A Smarter, More Precise Way to Think about Public Health

    A Smarter, More Precise Way to Think about Public Health

    Sue Desmond-Hellmann is using precision public health -- an approach that incorporates big data, consumer monitoring, gene sequencing and other innovative tools -- to solve the world's most difficult medical problems. It's already helped cut HIV transmission from mothers to babies by nearly half in sub-Saharan Africa, and now it's being used to address alarming infant mortality rates all over the world. The goal: to save lives by bringing the right interventions to the right populations at the right time.

    Subjects:
    Health Sciences and Biology
    Keywords:
    Medicial informatics Big data Public health
    Resource Type:
    Video
     
  • Others 
    Kaggle

    Kaggle

    Kaggle offers a no-setup, customizable, Jupyter Notebooks environment. Access GPUs at no cost to you and a huge repository of community published data & code. Inside Kaggle you’ll find all the code & data you need to do your data science work. Use over 50,000 public datasets and 400,000 public notebooks to conquer any analysis in no time.

    Subjects:
    Computing
    Keywords:
    Machine learning Artificial intelligence Big data
    Resource Type:
    Others