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Machine Learning with Python: from Linear Models to Deep Learning (edX)

May 27th 2024
Machine Learning with Python: from Linear Models to Deep Learning (edX)
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An in-depth introduction to the field of machine learning, from linear models to deep learning and reinforcement learning, through hands-on Python projects. Machine learning methods are commonly used across engineering and sciences, from computer systems to physics. Moreover, commercial sites such as search engines, recommender systems (e.g., Netflix, Amazon), [...]

Clustering Analysis (Coursera)

The "Clustering Analysis" course introduces students to the fundamental concepts of unsupervised learning, focusing on clustering and dimension reduction techniques. Participants will explore various clustering methods, including partitioning, hierarchical, density-based, and grid-based clustering. Additionally, students will learn about Principal Component Analysis (PCA) for dimension reduction. Through interactive tutorials and [...]

Data Analysis with Python Project (Coursera)

The "Data Analysis Project" course empowers students to apply their knowledge and skills gained in this specialization to conduct a real-life data analysis project of their interest. Participants will explore various directions in data analysis, including supervised and unsupervised learning, regression, clustering, dimension reduction, association rules, and outlier detection. [...]

Text Mining for Marketing (Coursera)

Welcome to the Text Mining for Marketing course! This course will introduce you to the principles and methods of text mining as they apply to the field of marketing. You will learn how and why to use text mining to inform marketing decisions and strategies. This course is for [...]

Unsupervised Learning and Its Applications in Marketing (Coursera)

Welcome to the Unsupervised Learning and Its Applications in Marketing course! In this course, you will delve into the fascinating world of unsupervised machine learning and its relevance to the field of marketing. Unsupervised learning is a powerful approach that allows us to uncover hidden patterns and insights from [...]

Unsupervised Algorithms in Machine Learning (Coursera)

Apr 1st 2024
Unsupervised Algorithms in Machine Learning (Coursera)
Course Auditing
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In this course, we will learn selected unsupervised learning methods for dimensionality reduction, clustering, finding latent features, and application cases such as recommender system with hands-on examples of product recommendation algorithms.

Train Machine Learning Models (Coursera)

Apr 1st 2024
Train Machine Learning Models (Coursera)
Course Auditing
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This course is designed for business professionals that wish to identify basic concepts that make up machine learning, test model hypothesis using a design of experiments and train, tune and evaluate models using algorithms that solve classification, regression and forecasting, and clustering problems. To be successful in this course [...]
Apr 1st 2024
Course Auditing
42.00 EUR/month

Machine Learning Foundations for Product Managers (Coursera)

Apr 1st 2024
Machine Learning Foundations for Product Managers (Coursera)
Course Auditing
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In this first course of the AI Product Management Specialization offered by Duke University's Pratt School of Engineering, you will build a foundational understanding of what machine learning is, how it works and when and why it is applied. To successfully manage an AI team or product and [...]
Apr 1st 2024
Course Auditing
32.00 EUR/month

Data Mining Methods (Coursera)

This course covers the core techniques used in data mining, including frequent pattern analysis, classification, clustering, outlier analysis, as well as mining complex data and research frontiers in the data mining field. Data Mining Methods can be taken for academic credit as part of CU Boulder’s Master of Science [...]

Machine Learning Algorithms with R in Business Analytics (Coursera)

One of the most exciting aspects of business analytics is finding patterns in the data using machine learning algorithms. In this course you will gain a conceptual foundation for why machine learning algorithms are so important and how the resulting models from those algorithms are used to find actionable [...]