Model Evaluation
Advanced Data Science Capstone (Coursera)
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This project completer has proven a deep understanding on massive parallel data processing, data exploration and visualization, advanced machine learning and deep learning and how to apply his knowledge in a real-world practical use case where he justifies architectural decisions, proves understanding the characteristics of different algorithms, frameworks and [...]
Apr 26th 2021
Cluster Analysis, Association Mining, and Model Evaluation (Coursera)
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Welcome to Cluster Analysis, Association Mining, and Model Evaluation. In this course we will begin with an exploration of cluster analysis and segmentation, and discuss how techniques such as collaborative filtering and association rules mining can be applied. We will also explain how a model can be evaluated for [...]
Apr 26th 2021
Instructional Design Course Evaluation & Capstone Project (edX)
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Develop your Instructional Design & Technology MicroMasters capstone project while you learn course evaluation models to assess the impact of design on the learning environment.
Apr 20th 2021
Data Analysis with R (Coursera)
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Welcome to Data Analysis with R. Now that you have a basic understanding of R programming language fundamentals, it is time to put that knowledge to work! The R programming language is purpose-built for data analysis. R is the key that opens the door between the problems that you [...]
Apr 19th 2021
AI for Medical Diagnosis (Coursera)
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AI is transforming the practice of medicine. It’s helping doctors diagnose patients more accurately, make predictions about patients’ future health, and recommend better treatments. As an AI practitioner, you have the opportunity to join in this transformation of modern medicine. If you're already familiar with some of the math [...]
Apr 19th 2021
Applied Machine Learning in Python (Coursera)
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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 through a tutorial. [...]
Apr 5th 2021
Distributed Machine Learning with Apache Spark (edX)
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Learn the underlying principles required to develop scalable machine learning pipelines and gain hands-on experience using Apache Spark. Machine learning aims to extract knowledge from data, relying on fundamental concepts in computer science, statistics, probability and optimization.
Jul 11th 2016