btfox

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

If you find any content such as violations and infringements (DMCA), please report it immediately according to the contact information at the bottom.
File size：936.28 MB
Time：2026-06-29
Hit count ：1
Related ：MathMatrixCalculusDataScienceMachineLearning

File list

  • Chapter 4 Setting Up Your Environment (AppendixFAQ by Student Request)/002. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4-64.92 MB
  • Chapter 2 Matrix and Vector Derivatives/007. Exercise Gaussian.mp4-64.71 MB
  • Chapter 3 Optimization Techniques/003. Gradient Descent (One Dimension).mp4-53.59 MB
  • Chapter 2 Matrix and Vector Derivatives/003. Quadratic Form (pt 1).mp4-53.56 MB
  • Chapter 4 Setting Up Your Environment (AppendixFAQ by Student Request)/001. Anaconda Environment Setup.mp4-47.19 MB
  • Chapter 2 Matrix and Vector Derivatives/010. Chain Rule Generalized.mp4-45.29 MB
  • Chapter 3 Optimization Techniques/008. Exercise Code Preparation.mp4-40.46 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.mp4-38.87 MB
  • Chapter 5 Effective Learning Strategies (AppendixFAQ by Student Request)/001. Can YouTube Teach Me Calculus (Optional).mp4-38.83 MB
  • Chapter 3 Optimization Techniques/006. Newton's Method (Multiple Dimensions).mp4-37.29 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).mp4-34.65 MB
  • Chapter 2 Matrix and Vector Derivatives/009. Chain Rule in Matrix Form.mp4-29.39 MB
  • Chapter 5 Effective Learning Strategies (AppendixFAQ by Student Request)/003. What order should I take your courses in (part 1).mp4-26.63 MB
  • Chapter 2 Matrix and Vector Derivatives/008. Chain Rule.mp4-23.94 MB
  • Chapter 2 Matrix and Vector Derivatives/013. Derivative of Determinant.mp4-23.65 MB
  • Chapter 2 Matrix and Vector Derivatives/006. Exercise Least Squares.mp4-21.63 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.mp4-21.23 MB
  • Chapter 3 Optimization Techniques/002. Second Derivative Test in Multiple Dimensions.mp4-20.97 MB
  • Chapter 2 Matrix and Vector Derivatives/011. Exercise Quadratic with Constraints.mp4-20.24 MB
  • Chapter 1 Introduction/002. How to succeed in this course.mp4-17.48 MB
  • Chapter 6 Appendix FAQ Finale/002. BONUS.mp4-17.07 MB
  • Chapter 3 Optimization Techniques/004. Gradient Descent (Multiple Dimensions).mp4-14.7 MB
  • Chapter 2 Matrix and Vector Derivatives/002. Linear Form.mp4-14.07 MB
  • Chapter 1 Introduction/001. Introduction and Outline.mp4-13.01 MB
  • Chapter 2 Matrix and Vector Derivatives/015. Suggestion Box.mp4-11.16 MB
  • Chapter 2 Matrix and Vector Derivatives/004. Quadratic Form (pt 2).mp4-11.02 MB
  • Chapter 2 Matrix and Vector Derivatives/005. Exercise Quadratic.mp4-8.03 MB
  • Chapter 2 Matrix and Vector Derivatives/001. Derivatives - Section Introduction.mp4-6.22 MB
  • Chapter 6 Appendix FAQ Finale/001. What is the Appendix.mp4-5.77 MB
  • Chapter 3 Optimization Techniques/001. Optimization - Section Introduction.mp4-4.14 MB
  • Chapter 3 Optimization Techniques/010. Optimization - Section Summary.mp4-3.8 MB
  • Chapter 1 Introduction/003. Where to get the code.mp4-3.16 MB
  • Chapter 2 Matrix and Vector Derivatives/014. Derivatives - Section Summary.mp4-2.41 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-33.81 KB
  • Chapter 3 Optimization Techniques/003. Gradient Descent (One Dimension).en.srt-31.62 KB
  • Chapter 2 Matrix and Vector Derivatives/003. Quadratic Form (pt 1).en.srt-30.45 KB
  • Chapter 2 Matrix and Vector Derivatives/007. Exercise Gaussian.en.srt-30.31 KB
  • Chapter 5 Effective Learning Strategies (AppendixFAQ by Student Request)/004. What order should I take your courses in (part 2).en.srt-25.31 KB
  • Chapter 5 Effective Learning Strategies (AppendixFAQ by Student Request)/001. Can YouTube Teach Me Calculus (Optional).en.srt-24.53 KB
  • Chapter 2 Matrix and Vector Derivatives/010. Chain Rule Generalized.en.srt-22.79 KB
  • Chapter 2 Matrix and Vector Derivatives/012. Left and Right Inverse as Optimization Problems.en.srt-22.25 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-21.73 KB
  • Chapter 3 Optimization Techniques/006. Newton's Method (Multiple Dimensions).en.srt-19.66 KB
  • Chapter 3 Optimization Techniques/009. Gradient Descent and Newton's Method in Python.en.srt-18.85 KB
  • Chapter 3 Optimization Techniques/008. Exercise Code Preparation.en.srt-18.55 KB
  • Chapter 5 Effective Learning Strategies (AppendixFAQ by Student Request)/003. What order should I take your courses in (part 1).en.srt-18 KB
  • Chapter 4 Setting Up Your Environment (AppendixFAQ by Student Request)/001. Anaconda Environment Setup.en.srt-16.91 KB