Machine Learning Statistical Foundations Professional Certificate by Wolfram Research
Dive into the foundations of machine learning (ML) with this comprehensive curriculum. Gain a deep understanding of AI and ML principles, enhancing your ability to design and implement advanced algorithms. Explore core mathematical concepts, the ML life cycle, and practical applications using Wolfram Language. Master the building blocks of ML, from linear algebra to statistics. Tune in, pass the final exam, and earn your certificate.
This certificate is endorsed by Wolfram Research, pioneers of computational intelligence and scientific innovation. Explore WolframU for open, interactive courses, learning events and other educational resources for professional and technical development.
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Explore the machine learning life cycle and core methods.
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Analyze linear algebra concepts for ML algorithms.
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Discover calculus foundations for ML implementation.
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Practice ML tasks using Wolfram Language functions.
Courses
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1
Artificial Intelligence Foundations: Machine Learning1h 50mArtificial Intelligence Foundations: Machine Learning
By: Kesha Williams
Learn about the machine learning lifecycle and the steps required to build systems in this hands-on course.
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2
Machine Learning Foundations: Linear Algebra1h 20mMachine Learning Foundations: Linear Algebra
By: Terezija Semenski
Explore the fundamentals of linear algebra, the mathematical foundation of machine learning algorithms.
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3
Machine Learning Foundations: Calculus1h 29mMachine Learning Foundations: Calculus
By: Terezija Semenski
Learn the basics of calculus concepts and techniques used to design and implement ML algorithms.
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4
Machine Learning Foundations: Probability1h 24mMachine Learning Foundations: Probability
By: Terezija Semenski
Get an in-depth introduction to probability, find out why it’s a prerequisite for machine learning, and learn how to use it to design and implement machine learning algorithms.
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5
Machine Learning Foundations: Statistics1h 20mMachine Learning Foundations: Statistics
By: Terezija Semenski
Learn how statistics can help you troubleshoot issues, optimize performance, and innovate, creating new machine learning models that are more efficient.
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6
Built-in Machine Learning in the Wolfram Language19mBuilt-in Machine Learning in the Wolfram Language
By: Wolfram Research
Learn about the built-in machine learning functions available in the Wolfram Language.
Instructors
Kesha Williams
AI Advisor • Head of Enterprise Architecture • AWS Hero (Machine Learning) • Award-Winning Engineer • International Keynote Speaker • Host LAItency Unplugged Podcast
Terezija Semenski
Helping People Master AI Fundamentals 53% Faster | LinkedIn [in]structor 14 Courses | Founder @ Stack labs d.o.o. ♦ Corporate Trainer | Author @ Math Mindset newsletter