Computer Science

Math for ML with R

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eDX

Gain an in-depth knowledge of fundamental concepts, including probability, vectors, calculus, and algebra, in order to establish a robust mathematical foundation for AI.

Key AI Functions:r,machine learning,math,computer science

Description for Math for ML with R

  • Algebra Fundamentals, Quadratic Equations, and Functions Review: Develop fundamental algebraic abilities and investigate the significance of functions and quadratic equations.

  • Foundations of Differential Calculus: Comprehend the fundamental concepts of differentiation and derivatives, which are essential for the examination of rates of change in a variety of mathematical models.

  • Utilizing Vectors and Matrixes: Acquire the ability to employ vectors and matrices to model and resolve intricate relationships in the fields of artificial intelligence (AI) and machine learning.

  • Fundamentals of Statistics and Probability: Acquire a comprehensive understanding of statistics and probability, which is crucial for the analysis of data and the formulation of well-informed decisions in the field of artificial intelligence.

Level: Intermediate

Certification Degree: Yes

Languages the Course is Available: 1

Offered by: On edX provided by IBM

Duration: 6�8 hours per week approx 8 week

Schedule: Flexible

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