Specialization - 4 course series
This Specialization from leading researchers at the University of Washington introduces you to the exciting, high-demand field of Machine Learning. Through a series of practical case studies, you will gain applied experience in major areas of Machine Learning including Prediction, Classification, Clustering, and Information Retrieval. You will learn to analyze large and complex datasets, create systems that adapt and improve over time, and build intelligent applications that can make predictions from data.
Applied Learning Project
Learners will implement and apply predictive, classification, clustering, and information retrieval machine learning algorithms to real datasets throughout each course in the specialization. They will walk away with applied machine learning and Python programming experience.
What you'll learn
Do you have data and wonder what it can tell you? Do you need a deeper understanding of the core ways in which machine learning can improve your business? Do you want to be able to converse with specialists about anything from regression and classification to deep learning and recommender systems?
Skills you'll gain
Category: Model Evaluation Category: Transfer Learning Category: Regression Analysis Category: Deep Learning Category: Classification Algorithms Category: Machine Learning Category: Machine Learning Methods Category: Text Mining Category: Model Training Category: Applied Machine Learning Category: Application Development Category: Predictive Modeling Category: Model Deployment Category: Image Analysis Category: AI Personalization Category: Feature Engineering Category: Machine Learning Algorithms Category: Python Programming
What you'll learn
Case Study - Predicting Housing Prices
Skills you'll gain
Category: Regression Analysis Category: Model Evaluation Category: Model Optimization Category: Feature Engineering Category: Machine Learning Methods Category: Predictive Modeling Category: Machine Learning Algorithms Category: Statistical Methods Category: Machine Learning Category: Statistical Machine Learning Category: Algorithms Category: Supervised Learning Category: Data Preprocessing Category: Applied Machine Learning Category: Model Training Category: Statistical Modeling
What you'll learn
Case Studies: Analyzing Sentiment & Loan Default Prediction
Skills you'll gain
Category: Logistic Regression Category: Decision Tree Learning Category: Model Evaluation Category: Feature Engineering Category: Scalability Category: Model Optimization Category: Machine Learning Algorithms Category: Classification Algorithms Category: Machine Learning Category: Model Training Category: Supervised Learning Category: Data Preprocessing Category: Text Mining Category: Predictive Modeling Category: Risking Category: Applied Machine Learning Category: Data Cleansing Category: Natural Language Processing Category: Probability & Statistics Category: Classification And Regression Tree (CART)
What you'll learn
Case Studies: Finding Similar Documents
Skills you'll gain
Category: Unsupervised Learning Category: Machine Learning Algorithms Category: Scalability Category: Machine Learning Category: Bayesian Statistics Category: Statistical Modeling Category: Applied Machine Learning Category: Distributed Computing Category: Machine Learning Methods Category: Sampling (Statistics) Category: Text Mining Category: Data Mining Category: Algorithms Category: Statistical Inference Category: Unstructured Data Category: Probability Distribution Category: Statistical Machine Learning
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Instructors
University of Washington
6 Courses501,622 learners
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