Understand machine learning’s role in data-driven modeling, prediction, and decision-making.
Understand what you need to succeed in this course and determine if it's the right fit for your learning goals
What you need before starting this Machine Learning Fundamentals course:
Beginner-Friendly Course!
This course is designed for absolute beginners. No prior knowledge needed.
This course is perfect for:
Everything you need to know about this online course, from duration to certification
Do you want to build systems that learn from experience? Or exploit data to create simple predictive models of the world? In this course, part of the Data Science MicroMasters program, you will learn a variety of supervised and unsupervised learning algorithms, and the theory behind those algorithms. Using real-world case studies, you will learn how to classify images, identify salient topics in a corpus of documents, partition people according to personality profiles, and automatically capture the semantic structure of words and use it to categorize documents. Armed with the knowledge from this course, you will be able to analyze many different types of data and to build descriptive and predictive models. All programming examples and assignments will be in Python, using Jupyter notebooks.
Difficulty Level
Advanced
Prior experience recommended
Subject Category
Computer Science, Data Analysis & Statistics
Part of our Computer Science, Data Analysis & Statistics curriculum
Course Language
English
All materials in English
This online course offers comprehensive training with expert instruction, practical exercises, and a certificate of completion. Join thousands of students advancing their careers through quality online education.
Comprehensive Program
Professional training from $350
Pricing may vary. Check the course provider for current promotions and exact pricing.
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