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    Coursera - Applied Machine Learning in Python



    Coursera - Applied Machine Learning in Python

    Coursera - Applied Machine Learning in Python
    Size: 540.48 MB | Duration: 4 hours | Video: AVC (.mp4) 960x540 29.97fps | Audio: AAC 44KHz 1ch
    Genre: eLearning | Level: Intermediate | Language: English
    This course will introduce the learner to applied machine learning, focusing more on the techniques and methods than on the statistics behind these methods. The course will start with a discussion of how machine learning is different than descriptive statistics, and introduce the scikit learn toolkit.


    Coursera - Process Mining (2015)


    Coursera - Process Mining (2015)
    Coursera - Process Mining (2015)
    English | Size: 1.68 GB (1,799,670,714 bytes)
    Category: Tutorial

    Process mining is the missing link between model-based process analysis and data-oriented analysis techniques. Through concrete data sets and easy to use software the course provides data science knowledge that can be applied directly to analyze and improve processes in a variety of domains. Data science is the profession of the future, because organizations that are unable to use (big) data in a smart way will not survive. It is not sufficient to focus on data storage and data analysis. The data scientist also needs to relate data to process analysis. Process mining bridges the gap between traditional model-based process analysis (e.g., simulation and other business process management techniques) and data-centric analysis techniques such as machine learning and data mining.


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