Predictive Modeling

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Predictive Modeling and Analytics (Coursera)

Welcome to the second course in the Data Analytics for Business specialization! This course will introduce you to some of the most widely used predictive modeling techniques and their core principles. By taking this course, you will form a solid foundation of predictive analytics, which refers to tools and [...]

Regression Analysis: Simplify Complex Data Relationships (Coursera)

May 6th 2024
Regression Analysis: Simplify Complex Data Relationships (Coursera)
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This is the fifth of seven courses in the Google Advanced Data Analytics Certificate. Data professionals use regression analysis to discover the relationships between different variables in a dataset and identify key factors that affect business performance. In this course, you’ll practice modeling variable relationships. You'll learn about different [...]

Machine Learning for Computer Vision (Coursera)

May 6th 2024
Machine Learning for Computer Vision (Coursera)
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In the second course of the Computer Vision for Engineering and Science specialization, you will perform two of the most common computer vision tasks: classifying images and detecting objects. You will apply the entire machine learning workflow, from preparing your data to evaluating your results. By the end of [...]
May 6th 2024
Course Auditing
79.00 EUR/month

Data Science Project: MATLAB for the Real World (Coursera)

Like most subjects, practice makes perfect in Data Science. In the capstone project, you will apply the skills learned across courses in the Practical Data Science with MATLAB specialization to explore, process, analyze, and model data. You will choose your own pathway to answer key [...]

Predictive Modeling, Model Fitting, and Regression Analysis (Coursera)

Welcome to Predictive Modeling, Model Fitting, and Regression Analysis. In this course, we will explore different approaches in predictive modeling, and discuss how a model can be either supervised or unsupervised. We will review how a model can be fitted, trained and scored to apply to both historical and [...]

Business Application of Machine Learning and Artificial Intelligence in Healthcare (Coursera)

The future of healthcare is becoming dependent on our ability to integrate Machine Learning and Artificial Intelligence into our organizations. But it is not enough to recognize the opportunities of AI; we as leaders in the healthcare industry have to first determine the best use for these applications ensuring [...]

Statistical Thinking for Industrial Problem Solving, presented by JMP (Coursera)

Statistical Thinking for Industrial Problem Solving is an applied statistics course for scientists and engineers offered by JMP, a division of SAS. By completing this course, students will understand the importance of statistical thinking, and will be able to use data and basic statistical methods to solve many real-world [...]

Practical Steps for Building Fair AI Algorithms (Coursera)

Apr 29th 2024
Practical Steps for Building Fair AI Algorithms (Coursera)
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Algorithms increasingly help make high-stakes decisions in healthcare, criminal justice, hiring, and other important areas. This makes it essential that these algorithms be fair, but recent years have shown the many ways algorithms can have biases by age, gender, nationality, race, and other attributes. This course will teach you [...]

Análise de dados com Python (Coursera)

Saiba como analisar dados usando Python. Este curso abrange desde o básico do Python até a exploração de diferentes tipos de dados. Você aprenderá como preparar dados para análise, executar análises estatísticas simples, criar visualizações de dados significativas, prever tendências futuras a partir de dados, e muito [...]

Bias and Discrimination in AI (edX)

Discover how even computer algorithms may be biased and have a serious impact on our every day lives. In this MOOC, based on an IVADO School involving various international experts in the field, you will learn how to identify and alleviate bias and discrimination in Artificial Intelligence.