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

Creation TimeTotal SizeTotal FilesInfo Hash
2024-10-31 20:44:41936.28 MB7279C173BEF0F2CACB5947E5B198E120287322C28C
Download
Magnet LinkTorrent DownloadSave Instantly without TorrentingReport Abuse
To download this file, you need a free bitTorrent client such as qBittorrent.
Related Torrents
  • Udemy - Math 0-1 Matrix Calculus in Data Science & Machine Learning (12.2024)2.76 GB
  • Udemy - Math 0-1 Calculus for Data Science & Machine Learning (2.2025)4.13 GB
  • Udemy - Math 0-1 Probability for Data Science & Machine Learning (2.2025)9.98 GB
  • Udemy - Math 0-1 Linear Algebra for Data Science & Machine Learning (8.2023)10.39 GB
  • Machine Learning, 2 Books in 1 - An Introduction Math Guide for Beginners to Understand Data Science4.32 MB
    • Files
    1. Chapter 4 Setting Up Your Environment (AppendixFAQ by Student Request)/002. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp464.92 MB
    2. Chapter 1 Introduction/001. Introduction and Outline.mp413.01 MB
    3. Chapter 1 Introduction/002. How to succeed in this course.en.srt13.56 KB
    4. Chapter 1 Introduction/002. How to succeed in this course.mp417.48 MB
    5. Chapter 1 Introduction/003. Where to get the code.en.srt1.66 KB
    6. Chapter 1 Introduction/003. Where to get the code.mp43.16 MB
    7. Chapter 2 Matrix and Vector Derivatives/001. Derivatives - Section Introduction.en.srt5.60 KB
    8. Chapter 2 Matrix and Vector Derivatives/001. Derivatives - Section Introduction.mp46.22 MB
    9. Chapter 2 Matrix and Vector Derivatives/002. Linear Form.en.srt8.71 KB
    10. Chapter 2 Matrix and Vector Derivatives/002. Linear Form.mp414.07 MB
    11. Chapter 2 Matrix and Vector Derivatives/003. Quadratic Form (pt 1).en.srt30.45 KB
    12. Chapter 2 Matrix and Vector Derivatives/003. Quadratic Form (pt 1).mp453.56 MB
    13. Chapter 2 Matrix and Vector Derivatives/004. Quadratic Form (pt 2).en.srt7.11 KB
    14. Chapter 2 Matrix and Vector Derivatives/004. Quadratic Form (pt 2).mp411.02 MB
    15. Chapter 2 Matrix and Vector Derivatives/005. Exercise Quadratic.en.srt4.68 KB
    16. Chapter 2 Matrix and Vector Derivatives/005. Exercise Quadratic.mp48.03 MB
    17. Chapter 2 Matrix and Vector Derivatives/006. Exercise Least Squares.en.srt11.36 KB
    18. Chapter 2 Matrix and Vector Derivatives/006. Exercise Least Squares.mp421.63 MB
    19. Chapter 2 Matrix and Vector Derivatives/007. Exercise Gaussian.en.srt30.31 KB
    20. Chapter 2 Matrix and Vector Derivatives/007. Exercise Gaussian.mp464.71 MB
    21. Chapter 2 Matrix and Vector Derivatives/008. Chain Rule.en.srt12.52 KB
    22. Chapter 2 Matrix and Vector Derivatives/008. Chain Rule.mp423.94 MB
    23. Chapter 2 Matrix and Vector Derivatives/009. Chain Rule in Matrix Form.en.srt16.76 KB
    24. Chapter 2 Matrix and Vector Derivatives/009. Chain Rule in Matrix Form.mp429.39 MB
    25. Chapter 2 Matrix and Vector Derivatives/010. Chain Rule Generalized.en.srt22.79 KB
    26. Chapter 2 Matrix and Vector Derivatives/010. Chain Rule Generalized.mp445.29 MB
    27. Chapter 2 Matrix and Vector Derivatives/011. Exercise Quadratic with Constraints.en.srt12.56 KB
    28. Chapter 2 Matrix and Vector Derivatives/011. Exercise Quadratic with Constraints.mp420.24 MB
    29. Chapter 2 Matrix and Vector Derivatives/012. Left and Right Inverse as Optimization Problems.en.srt22.25 KB
    30. Chapter 2 Matrix and Vector Derivatives/012. Left and Right Inverse as Optimization Problems.mp438.87 MB
    31. Chapter 2 Matrix and Vector Derivatives/013. Derivative of Determinant.en.srt10.22 KB
    32. Chapter 2 Matrix and Vector Derivatives/013. Derivative of Determinant.mp423.65 MB
    33. Chapter 2 Matrix and Vector Derivatives/014. Derivatives - Section Summary.en.srt1.86 KB
    34. Chapter 2 Matrix and Vector Derivatives/014. Derivatives - Section Summary.mp42.41 MB
    35. Chapter 2 Matrix and Vector Derivatives/015. Suggestion Box.en.srt4.62 KB
    36. Chapter 2 Matrix and Vector Derivatives/015. Suggestion Box.mp411.16 MB
    37. Chapter 3 Optimization Techniques/001. Optimization - Section Introduction.en.srt3.29 KB
    38. Chapter 3 Optimization Techniques/001. Optimization - Section Introduction.mp44.14 MB
    39. Chapter 3 Optimization Techniques/002. Second Derivative Test in Multiple Dimensions.en.srt12.05 KB
    40. Chapter 3 Optimization Techniques/002. Second Derivative Test in Multiple Dimensions.mp420.97 MB
    41. Chapter 3 Optimization Techniques/003. Gradient Descent (One Dimension).en.srt31.62 KB
    42. Chapter 3 Optimization Techniques/003. Gradient Descent (One Dimension).mp453.59 MB
    43. Chapter 3 Optimization Techniques/004. Gradient Descent (Multiple Dimensions).en.srt8.39 KB
    44. Chapter 3 Optimization Techniques/004. Gradient Descent (Multiple Dimensions).mp414.70 MB
    45. Chapter 3 Optimization Techniques/005. Newton's Method (One Dimension).en.srt12.40 KB
    46. Chapter 3 Optimization Techniques/005. Newton's Method (One Dimension).mp421.50 MB
    47. Chapter 3 Optimization Techniques/006. Newton's Method (Multiple Dimensions).en.srt19.66 KB
    48. Chapter 3 Optimization Techniques/006. Newton's Method (Multiple Dimensions).mp437.29 MB
    49. Chapter 3 Optimization Techniques/007. Exercise Newton's Method for Least Squares.en.srt12.07 KB
    50. Chapter 3 Optimization Techniques/007. Exercise Newton's Method for Least Squares.mp421.23 MB
    51. Chapter 3 Optimization Techniques/008. Exercise Code Preparation.en.srt18.55 KB
    52. Chapter 3 Optimization Techniques/008. Exercise Code Preparation.mp440.46 MB
    53. Chapter 3 Optimization Techniques/009. Gradient Descent and Newton's Method in Python.en.srt18.85 KB
    54. Chapter 3 Optimization Techniques/009. Gradient Descent and Newton's Method in Python.mp435.40 MB
    55. Chapter 3 Optimization Techniques/010. Optimization - Section Summary.en.srt2.71 KB
    56. Chapter 3 Optimization Techniques/010. Optimization - Section Summary.mp43.80 MB
    57. Chapter 4 Setting Up Your Environment (AppendixFAQ by Student Request)/001. Anaconda Environment Setup.en.srt16.91 KB
    58. Chapter 4 Setting Up Your Environment (AppendixFAQ by Student Request)/001. Anaconda Environment Setup.mp447.19 MB
    59. Chapter 4 Setting Up Your Environment (AppendixFAQ by Student Request)/002. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.en.srt21.73 KB
    60. Chapter 1 Introduction/001. Introduction and Outline.en.srt7.35 KB
    61. Chapter 5 Effective Learning Strategies (AppendixFAQ by Student Request)/001. Can YouTube Teach Me Calculus (Optional).en.srt24.53 KB
    62. Chapter 5 Effective Learning Strategies (AppendixFAQ by Student Request)/001. Can YouTube Teach Me Calculus (Optional).mp438.83 MB
    63. Chapter 5 Effective Learning Strategies (AppendixFAQ by Student Request)/002. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.en.srt33.81 KB
    64. Chapter 5 Effective Learning Strategies (AppendixFAQ by Student Request)/002. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp439.80 MB
    65. Chapter 5 Effective Learning Strategies (AppendixFAQ by Student Request)/003. What order should I take your courses in (part 1).en.srt18.00 KB
    66. Chapter 5 Effective Learning Strategies (AppendixFAQ by Student Request)/003. What order should I take your courses in (part 1).mp426.63 MB
    67. Chapter 5 Effective Learning Strategies (AppendixFAQ by Student Request)/004. What order should I take your courses in (part 2).en.srt25.31 KB
    68. Chapter 5 Effective Learning Strategies (AppendixFAQ by Student Request)/004. What order should I take your courses in (part 2).mp434.65 MB
    69. Chapter 6 Appendix FAQ Finale/001. What is the Appendix.en.srt4.05 KB
    70. Chapter 6 Appendix FAQ Finale/001. What is the Appendix.mp45.77 MB
    71. Chapter 6 Appendix FAQ Finale/002. BONUS.en.srt7.88 KB
    72. Chapter 6 Appendix FAQ Finale/002. BONUS.mp417.07 MB
    Copyright © 2025 DHTMan | All Rights Reserved
    ContactDMCASitemap