Mathematics for Mechatronic Engineer and Data Scientist

Mathematics for Mechatronic Engineer and Data Scientist

Last Update	17/05/2022
Completion Time	2 days 37 minutes
Members	2

Course
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Videos Lectures
- 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 Equation 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 5-1 - Kalman Filter - part 1
  
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- Lecture 5-2 - Review Stochastic Model and Kalman Filter - part 2
  
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- Lecture 5-3 - Kalman Filter - part 3
  
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- Lecture 5-4 - Kalman Filter - part 4
  
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- Lecture 6 - 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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- Lecture 9-0 - Introduction to Machine Learning
  
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- Lecture 9-1 - Classical Machine Learning - part 1
  
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- Lecture 9-2 - Classical Machine Learning part 2
  
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- Lecture 9-4 - 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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Lectures Slide
- Lecture 1 - First Order Differential Equation
  
  Free preview
- Lecture 2 - Gaussian Noise & Brownian Motion
  
  Free preview
- Lecture 3 - Stochastic Differential Equation Part 2
  
  Free preview
- Lecture 4 - Probability, Conditional Probability and Random Variable.
  
  Free preview
- Lecture 5 - Kalman Filter
  
  Free preview
- Lecture 6 - Optimization 1 (unconstrained)
  
  Free preview
- Lecture 7 - Linear Algebra 1 (least square)
  
  Free preview
- 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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