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Genre: eLearning
Become a Machine Learning Specialist
Are you ready to take a deeper dive into mastering the concepts and techniques involved in machine learning? This learning path shows how machine learning algorithms work and how to design them yourself. There’s a lot to learn in this rapidly growing (and highly recuited-for) field, and these courses will give you an extremely solid skill set.
Explore the concepts and techniques behind designing machine learning algorithmsLearn how recommendation systems work and how to build themMaster how to design machine solutions for different applications
Part of your Lynda.com membership.
17 Hours of expert-created video tutorials
Practice to reinforce what you learned
Certify your achievement
Advance your career
1
course illustration for Machine Learning and AI Foundations: Decision Trees
Machine Learning and AI Foundations: Decision Trees with Keith McCormick
Establish a strong foundation in machine learning by exploring the IBM SPSS Modeler and learning about CHAID, C&RT, and how to improve your model. This course is designed to help expand your data science skills.
1h 16m • COURSE
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course illustration for Deploying Scalable Machine Learning for Data Science
Deploying Scalable Machine Learning for Data Science with Dan Sullivan
Learn how to use design patterns for scalable architecture and tools such as services and containers to deploy machine learning at scale.
1h 43m • COURSE
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course illustration for Building a Recommendation System with Python Machine Learning & AI
Building a Recommendation System with Python Machine Learning & AI with Lillian Pierson, P.E.
Discover how to use Python to build programs that can make recommendations. This hands-on course explores different types of recommendation systems, and shows how to build each one.
1h 38m • COURSE
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course illustration for Machine Learning and AI Foundations: Clustering and Association
Machine Learning and AI Foundations: Clustering and Association with Keith McCormick
Learn how to use cluster analysis, association rules, and anomaly detection algorithms for unsupervised learning.
3h 22m • COURSE
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course illustration for Machine Learning & AI: Advanced Decision Trees
Machine Learning & AI: Advanced Decision Trees with Keith McCormick
Work towards a mastery of machine learning by exploring advanced decision tree algorithm concepts. Learn about the QUEST algorithm, the C5.0 algorithm, and a few advanced topics that apply to all decision trees.
1h 16m • COURSE
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course illustration for Machine Learning and AI Foundations: Classification Modeling
Machine Learning and AI Foundations: Classification Modeling with Keith McCormick
Classification methods are among the most important in modern data science. Learn classification strategies and algorithms for machining learning and AI.
2h • COURSE
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course illustration for Machine Learning and AI Foundations: Value Estimations
Machine Learning and AI Foundations: Value Estimations with Adam Geitgey
Discover how to solve value estimation problems with machine learning. Learn how to build a value estimation system that can estimate the value of a home.
1h 4m • COURSE
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course illustration for Machine Learning & AI Foundations: Linear Regression
Machine Learning & AI Foundations: Linear Regression with Keith McCormick
Expand your data science skills by learning how to leverage the concepts of linear regression to solve real-world problems.
3h 57m • COURSE
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course illustration for Machine Learning and AI Foundations: Recommendations
Machine Learning and AI Foundations: Recommendations with Adam Geitgey
This project-based course shows programmers of all skill levels how to use machine learning to build programs that can make recommendations—like recommending new products to customers based on how they reviewed other products.
58m 7s • COURSE
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