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Essential Math for AI

Daniel Bauer

This self-paced, asynchronous course is recommended for learners who want to establish a solid knowledge base in statistics, linear algebra, multivariable calculus, probability and foundational topics in math.

Learners can expect to review the mathematical and technical coursework as well as complete a self-assessment.

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What's inside

Learning objectives

  • This course will enable students to:
  • Understand the components of math for ai functions including recursions, lambda expressions and higher-order functions.

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Introduces foundational topics in computer science and math
Emphasizes essential mathematical concepts for data science and artificial intelligence
Suitable for learners seeking a strong grounding in mathematics for data science and AI
Enables learners to refresh their mathematical knowledge and assess their understanding

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Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Essential Math for AI with these activities:
Review calculus concepts
Strengthen foundational knowledge of calculus for better comprehension of course material.
Browse courses on Calculus
Show steps
  • Go through notes or textbooks to review key concepts.
  • Solve practice problems to test understanding.
Organize class notes, assignments, and resources
Enhance retention by creating a well-structured knowledge base.
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  • Gather all relevant course materials, including notes, assignments, and resources.
  • Organize the materials in a logical manner.
Form a study group
Foster collaboration and enhance understanding through group discussions.
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  • Connect with classmates who share similar learning goals.
  • Establish regular meeting times and format for study sessions.
Five other activities
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Solve linear algebra problems
Deepen understanding of linear algebra concepts through practice.
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Show steps
  • Find resources for linear algebra practice problems, such as online exercises or textbooks.
  • Set aside time for regular practice sessions.
Follow tutorials on time series analysis
Supplement course content with in-depth tutorials on time series analysis techniques.
Browse courses on Time Series Analysis
Show steps
  • Identify reputable resources for time series analysis tutorials.
  • Set aside dedicated time for exploring tutorials.
Participate in online forums and assist peers
Deepen understanding by explaining concepts to others and engaging in discussions.
Show steps
  • Join online forums or discussion groups related to course topics.
  • Actively participate by answering questions and providing insights.
Implement a regression algorithm
Solidify understanding of regression concepts by implementing an algorithm from scratch.
Browse courses on Regression
Show steps
  • Choose a regression algorithm to implement.
  • Implement the algorithm in your preferred programming language.
  • Test your implementation on a dataset.
Build a machine learning model for a real-world problem
Apply course concepts to a practical problem, enhancing problem-solving and implementation skills.
Show steps
  • Identify a problem that can be solved using machine learning.
  • Gather and prepare the necessary data.
  • Choose and train a suitable machine learning model.
  • Evaluate the performance of the model.

Career center

Learners who complete Essential Math for AI will develop knowledge and skills that may be useful to these careers:

Reading list

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Course image
Effort
1 to 3 hours per week for 2 weeks
Level
Advanced
Via
edX
Institution
Columbia University
Instructor
Daniel Bauer
Session
June 15, 2024 - June 15, 2025
Language
English
Transcript
English
Good to know
Introduces foundational topics in computer science and math
Emphasizes essential mathematical concepts for data science and artificial intelligence
Suitable for learners seeking a strong grounding in mathematics for data science and AI
Enables learners to refresh their mathematical knowledge and assess their understanding
Share and help others discover this course.
Facebook LinkedIn X Reddit Link Email
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