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Theory of Machine Learning (A-Z in Bangla) - Pre-recorded

Course Description

Explore the foundations and principles of machine learning theory with our comprehensive guide. Dive into key concepts, algorithms, and methodologies essential for understanding how machines learn and make predictions. From supervised to unsupervised learning, grasp the core principles driving modern AI innovation. Start mastering the Theory of Machine Learning today.

Linear Algebra

  • Vector and Matrices
  • Matrix Operations
  • Eigenvalues and Eigen Vectors
  • Matrix Decompositions
  • Determinants
  • Vector Space and Linear Dependencies
  • Norms and Distance Matrix
  • Sparse Matrix Operations

Calculas

  • Differential Calculas
  • Integral Calculas
  • Limits and Continuity
  • Optimization
  • Chain Rule
  • Taylor Series
  • Multivariate Calculas
  • Partial Differential Equations

Statistics

  • Descriptive Statistics
  • Hypothesis Testing
  • Probability Distribution
  • Statistical Testing
  • Bayesian Statistics
  • Principle Component Analysis
  • Factor Analysis
  • Regularization

Evaluation

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Tasfiq Kamran

Aminul Mahi

Shaiful Islam

MD Asadullah Shibli

Obaydullah Hasib

Nirban Mitra Joy

Md Maniruzzaman Manir

Md Anower Hossain

Mehedi Azad

Alomghir Hossain

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Key Topics:

  • Linear Algebra
  • Calculus
  • Statistics
  • Probability

Price

3000

Discount Price

600

Duration

5 Hours (23 Videos)

Class Type

Pre-Recorded

Access

Lifetime
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