Unsupervised Machine Learning

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Notably is an AI-driven research platform offering comprehensive features, including video transcription, sentiment analysis, and advanced search, to empower researchers across industries.

Foundations of Machine Learning

Develop and evaluate machine learning models using regression, trees, and unsupervised techniques to address various business challenges.

Mathematics in ML Specialization

Machine learning mathematics. Find out about the mathematical prerequisites for applications in machine learning and data science.

IBM Intro to ML Specialization

Acquire knowledge of machine learning by examining actual applications. Develop the necessary skills for a vocation in one of the most pertinent areas of contemporary AI by participating in hands-on projects and completing coursework from IBM's experts.

ML Theory & Hands-on: Python Specialization

Learn to develop, assess, and enhance machine learning models using Python libraries, covering introductory deep learning, supervised, and unsupervised learning algorithms.

ML: Concepts & Applications

Learn to use Python and libraries for data tasks, understand key machine learning techniques, and apply them to real-world datasets for a strong research foundation.

Unsupervised Learning, Recommenders, Reinforcement Learning

Learn to apply unsupervised learning techniques, build recommender systems, and develop deep reinforcement learning models.

ML in Mathematics: PCA

Apply mathematical concepts to real-world data, derive PCA from a projection perspective, comprehend orthogonal projections, and master Principal Component Analysis.

Interactive ML Dashboards using Plotly Dash

The course concentrates on the development of an HTML framework for a Plotly Dash dashboard that includes interactive scatter plots, bar charts, radio buttons, and dropdowns. It emphasizes the evaluation of model performance and the visualization of dimensionality reduction outcomes.