Mathematics for Engineer and Data Scientist

Mathematics for Engineer and Data Scientist

Last Update	17 ឧសភា 2022
Completion Time	2 ថ្ងៃ 37 នាទី
Members	2

Course
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Slides
- Lecture 1 - First Order Differential Equation
  
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- Lecture 2 - Gaussian Noise & Brownian Motion
  
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- Lecture 3 - Stochastic Differential Equation Part 1
  
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- Lecture 3 - Stochastic Differential Eq Part 2
  
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- Lecture 4 - Probability, Conditional Probability and Random Variable.
  
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- Lecture 5 - Kalman Filter Theory and Application
  
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- Lecture 5 - Kalman Filter
  
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- Review Stochastic model and Kalman Filter
  
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- Kalman filter - part 3
  
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- Lecture 5-4-Kalman filter - part 4
  
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- Lecture 5 - Optimization 1 (unconstrained)
  
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- Lecture 7 - Linear Algebra 1 (least square)
  
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- Lecture 8 - Optimization 2 (constrained) part 1
  
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- Lecture 8 - Optimization 2 (constrained) part 2
  
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- Introduction to Machine Learning
  
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- Lecture 9 - Classical Machine Learning
  
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- Lecture 9 - Classical Machine Learning part 2
  
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- Introduction to Machine Learning - Practice
  
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- Lecture 10 - Neural Network
  
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- Lecture 11 - Convolutional Neural Network
  
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- Lecture 12 - Introduction to Deep Learning
  
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- Lecture 12-1 - Recurrent Neural Networks and Transformers
  
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- Lecture 12 - 2 - Convolutional Neural Networks
  
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- Lecture 12 - 3 - Deep Generative Modeling
  
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- Lecture 12-4 - Reinforcement Learning
  
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- Lecture 12-5 - Deep Learning New Frontiers
  
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- Lecture 12-6 - LiDAR for Autonomous Driving
  
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- Lecture 12-7 - Automatic Speech Recognition
  
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- Lecture 12-8 - AI for Science
  
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Slide A
- Lecture 1 - First Order Differential Equation
  
  Free preview
- Lecture 2 - Gaussian Noise & Brownian Motion
  
  Free preview
- Lecture 3 - Stochastic Differential Equation Part 2
  
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- Lecture4 - Probability, Conditional Probability and Random Variable.
  
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- Lecture5 - Kalman Filter
  
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- Lecture 5 - Optimization 1 (unconstrained)
  
  Free preview
- Lecture 7 - Linear Algebra 1 (least square)
  
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- Lecture 8 - Optimization 2 (constrained) part 1
  
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- Lecture 8 - Optimization 2 (constrained) part 2
  
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- Lecture 10 - Neural Network
  
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- Introduction to Machine Learning
  
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