Math 0-1 - Matrix Calculus in Data Science and Machine Learning

Creation Time	Oct. 10, 2024, 10:26 a.m.
Last Access Time	Nov. 21, 2024, 10:24 a.m.
File Size	936.3 MB
Keywords	Calculus and 0-1 Science - Machine Learning in Data Math Matrix
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Total Files	72
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Chapter 4 Setting Up Your Environment (AppendixFAQ by Student Request)/002. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 64.9 MB
Chapter 2 Matrix and Vector Derivatives/007. Exercise Gaussian.mp4 64.7 MB
Chapter 3 Optimization Techniques/003. Gradient Descent (One Dimension).mp4 53.6 MB
Chapter 2 Matrix and Vector Derivatives/003. Quadratic Form (pt 1).mp4 53.6 MB
Chapter 4 Setting Up Your Environment (AppendixFAQ by Student Request)/001. Anaconda Environment Setup.mp4 47.2 MB
Chapter 2 Matrix and Vector Derivatives/010. Chain Rule Generalized.mp4 45.3 MB
Chapter 3 Optimization Techniques/008. Exercise Code Preparation.mp4 40.5 MB
Chapter 5 Effective Learning Strategies (AppendixFAQ by Student Request)/002. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 39.8 MB
Chapter 2 Matrix and Vector Derivatives/012. Left and Right Inverse as Optimization Problems.mp4 38.9 MB
Chapter 5 Effective Learning Strategies (AppendixFAQ by Student Request)/001. Can YouTube Teach Me Calculus (Optional).mp4 38.8 MB
Chapter 3 Optimization Techniques/006. Newton's Method (Multiple Dimensions).mp4 37.3 MB
Chapter 3 Optimization Techniques/009. Gradient Descent and Newton's Method in Python.mp4 35.4 MB
Chapter 5 Effective Learning Strategies (AppendixFAQ by Student Request)/004. What order should I take your courses in (part 2).mp4 34.7 MB
Chapter 2 Matrix and Vector Derivatives/009. Chain Rule in Matrix Form.mp4 29.4 MB
Chapter 5 Effective Learning Strategies (AppendixFAQ by Student Request)/003. What order should I take your courses in (part 1).mp4 26.6 MB
Chapter 2 Matrix and Vector Derivatives/008. Chain Rule.mp4 23.9 MB
Chapter 2 Matrix and Vector Derivatives/013. Derivative of Determinant.mp4 23.6 MB
Chapter 2 Matrix and Vector Derivatives/006. Exercise Least Squares.mp4 21.6 MB
Chapter 3 Optimization Techniques/005. Newton's Method (One Dimension).mp4 21.5 MB
Chapter 3 Optimization Techniques/007. Exercise Newton's Method for Least Squares.mp4 21.2 MB
Chapter 3 Optimization Techniques/002. Second Derivative Test in Multiple Dimensions.mp4 21.0 MB
Chapter 2 Matrix and Vector Derivatives/011. Exercise Quadratic with Constraints.mp4 20.2 MB
Chapter 1 Introduction/002. How to succeed in this course.mp4 17.5 MB
Chapter 6 Appendix FAQ Finale/002. BONUS.mp4 17.1 MB
Chapter 3 Optimization Techniques/004. Gradient Descent (Multiple Dimensions).mp4 14.7 MB
Chapter 2 Matrix and Vector Derivatives/002. Linear Form.mp4 14.1 MB
Chapter 1 Introduction/001. Introduction and Outline.mp4 13.0 MB
Chapter 2 Matrix and Vector Derivatives/015. Suggestion Box.mp4 11.2 MB
Chapter 2 Matrix and Vector Derivatives/004. Quadratic Form (pt 2).mp4 11.0 MB
Chapter 2 Matrix and Vector Derivatives/005. Exercise Quadratic.mp4 8.0 MB
Chapter 2 Matrix and Vector Derivatives/001. Derivatives - Section Introduction.mp4 6.2 MB
Chapter 6 Appendix FAQ Finale/001. What is the Appendix.mp4 5.8 MB
Chapter 3 Optimization Techniques/001. Optimization - Section Introduction.mp4 4.1 MB
Chapter 3 Optimization Techniques/010. Optimization - Section Summary.mp4 3.8 MB
Chapter 1 Introduction/003. Where to get the code.mp4 3.2 MB
Chapter 2 Matrix and Vector Derivatives/014. Derivatives - Section Summary.mp4 2.4 MB
Chapter 5 Effective Learning Strategies (AppendixFAQ by Student Request)/002. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.en.srt 33.8 KB
Chapter 3 Optimization Techniques/003. Gradient Descent (One Dimension).en.srt 31.6 KB
Chapter 2 Matrix and Vector Derivatives/003. Quadratic Form (pt 1).en.srt 30.4 KB
Chapter 2 Matrix and Vector Derivatives/007. Exercise Gaussian.en.srt 30.3 KB
Chapter 5 Effective Learning Strategies (AppendixFAQ by Student Request)/004. What order should I take your courses in (part 2).en.srt 25.3 KB
Chapter 5 Effective Learning Strategies (AppendixFAQ by Student Request)/001. Can YouTube Teach Me Calculus (Optional).en.srt 24.5 KB
Chapter 2 Matrix and Vector Derivatives/010. Chain Rule Generalized.en.srt 22.8 KB
Chapter 2 Matrix and Vector Derivatives/012. Left and Right Inverse as Optimization Problems.en.srt 22.2 KB
Chapter 4 Setting Up Your Environment (AppendixFAQ by Student Request)/002. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.en.srt 21.7 KB
Chapter 3 Optimization Techniques/006. Newton's Method (Multiple Dimensions).en.srt 19.7 KB
Chapter 3 Optimization Techniques/009. Gradient Descent and Newton's Method in Python.en.srt 18.9 KB
Chapter 3 Optimization Techniques/008. Exercise Code Preparation.en.srt 18.6 KB
Chapter 5 Effective Learning Strategies (AppendixFAQ by Student Request)/003. What order should I take your courses in (part 1).en.srt 18.0 KB
Chapter 4 Setting Up Your Environment (AppendixFAQ by Student Request)/001. Anaconda Environment Setup.en.srt 16.9 KB
Chapter 2 Matrix and Vector Derivatives/009. Chain Rule in Matrix Form.en.srt 16.8 KB
Chapter 1 Introduction/002. How to succeed in this course.en.srt 13.6 KB
Chapter 2 Matrix and Vector Derivatives/011. Exercise Quadratic with Constraints.en.srt 12.6 KB
Chapter 2 Matrix and Vector Derivatives/008. Chain Rule.en.srt 12.5 KB
Chapter 3 Optimization Techniques/005. Newton's Method (One Dimension).en.srt 12.4 KB
Chapter 3 Optimization Techniques/007. Exercise Newton's Method for Least Squares.en.srt 12.1 KB
Chapter 3 Optimization Techniques/002. Second Derivative Test in Multiple Dimensions.en.srt 12.0 KB
Chapter 2 Matrix and Vector Derivatives/006. Exercise Least Squares.en.srt 11.4 KB
Chapter 2 Matrix and Vector Derivatives/013. Derivative of Determinant.en.srt 10.2 KB
Chapter 2 Matrix and Vector Derivatives/002. Linear Form.en.srt 8.7 KB
Chapter 3 Optimization Techniques/004. Gradient Descent (Multiple Dimensions).en.srt 8.4 KB
Chapter 6 Appendix FAQ Finale/002. BONUS.en.srt 7.9 KB
Chapter 1 Introduction/001. Introduction and Outline.en.srt 7.3 KB
Chapter 2 Matrix and Vector Derivatives/004. Quadratic Form (pt 2).en.srt 7.1 KB
Chapter 2 Matrix and Vector Derivatives/001. Derivatives - Section Introduction.en.srt 5.6 KB
Chapter 2 Matrix and Vector Derivatives/005. Exercise Quadratic.en.srt 4.7 KB
Chapter 2 Matrix and Vector Derivatives/015. Suggestion Box.en.srt 4.6 KB
Chapter 6 Appendix FAQ Finale/001. What is the Appendix.en.srt 4.1 KB
Chapter 3 Optimization Techniques/001. Optimization - Section Introduction.en.srt 3.3 KB
Chapter 3 Optimization Techniques/010. Optimization - Section Summary.en.srt 2.7 KB
Chapter 2 Matrix and Vector Derivatives/014. Derivatives - Section Summary.en.srt 1.9 KB
Chapter 1 Introduction/003. Where to get the code.en.srt 1.7 KB

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