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Data Structures, Algorithms, and Machine Learning Optimization--- Coursesghar

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文件列表

  1. 8.6 Gradient Descent from Scratch with PyTorch-1_b9c5to06.mp4 943MB
  2. 4.4 Quick Sort-1_alqbo35e.mp4 841MB
  3. 4.3 Merge Sort-1_bvp4hwmr.mp4 838MB
  4. 4.1 Binary Search-1_sgp6ncjp.mp4 662MB
  5. 8.8 Stochastic Gradient Descent-1_4ugi2e0l.mp4 596MB
  6. 6.2 Decision Trees-1_a1kf47jd.mp4 582MB
  7. 2.6 Best versus Worst Case-1_3s3zu6v7.mp4 574MB
  8. 8.1 Statistics versus Machine Learning-1_ryhdp03c.mp4 558MB
  9. 8.9 Learning Rate Scheduling-1_rbn74jj8.mp4 481MB
  10. 4.2 Bubble Sort-1_0rciok4o.mp4 400MB
  11. 8.2 Objective Functions-1_mfqn5miw.mp4 390MB
  12. 8.4 Mean Squared Error-1_2ijm8zs5.mp4 384MB
  13. 6.4 XGBoost - Gradient-Boosted Trees-1_nqqqkuut.mp4 361MB
  14. 2.2 Constant Time-1_mvmme7tc.mp4 328MB
  15. 2.1 Introduction-1_3m8jqstj.mp4 322MB
  16. 6.3 Random Forests-1_tdzchlbt.mp4 317MB
  17. 7.3 DAGs - Directed Acyclic Graphs-1_6e7vwpti.mp4 310MB
  18. 5.3 Hash Functions-1_69rzqd81.mp4 304MB
  19. 1.2 A Brief History of Data-1_2b15gjsa.mp4 289MB
  20. 2.3 Linear Time-1_lbtul2fd.mp4 272MB
  21. 3.2 Arrays-1_ng1ex7u7.mp4 269MB
  22. 9.4 Adaptive Optimizers-1_iiaajhex.mp4 258MB
  23. 8.7 Critical Points-1_dqtjm5pa.mp4 231MB
  24. 9.5 Congratulations and Next Steps-1_2f5dvgbj.mp4 224MB
  25. 9.1 Jacobian Matrices-1_locjc786.mp4 219MB
  26. Data Structures, Algorithms, and Machine Learning Optimization - Introduction-1_obd37x4i.mp4 209MB
  27. 3.7 Deques-1_qiae1dix.mp4 206MB
  28. 2.4 Polynomial Time-1_azvfdac9.mp4 198MB
  29. 5.4 Collisions-1_hueopo2v.mp4 195MB
  30. 5.1 Maps and Dictionaries-1_jlghq9fx.mp4 185MB
  31. 5.7 String Keys-1_9yrxbkmz.mp4 177MB
  32. 8.5 Minimizing Cost with Gradient Descent-1_6csagyw7.mp4 161MB
  33. 8.3 Mean Absolute Error-1_o25rl6gv.mp4 152MB
  34. 6.1 Introduction-1_vige31cl.mp4 148MB
  35. 2.5 Common Runtimes-1_oc6ntre1.mp4 146MB
  36. 5.8 Hashing in ML-1_hd4ofvqr.mp4 130MB
  37. 3.5 Stacks-1_km4ks6ba.mp4 125MB
  38. 5.2 Sets-1_1fu7r32o.mp4 115MB
  39. 9.3 Momentum-1_2t8nos0w.mp4 114MB
  40. 9.2 Second-Order Optimization and Hessians-1_p3snmxzz.mp4 112MB
  41. 5.6 Hash Maps-1_xgfoxj80.mp4 108MB
  42. 1.3 A Brief History of Algorithms-1_t7p43t0a.mp4 108MB
  43. 5.5 Load Factor-1_1o6rzf14.mp4 99MB
  44. 3.3 Linked Lists-1_9mdvvbl1.mp4 97MB
  45. 8.10 Maximizing Reward with Gradient Ascent-1_sjmahkxl.mp4 87MB
  46. 1.1 Orientation to the Machine Learning Foundations Series-1_j225u2zw.mp4 85MB
  47. 1.4 Applications to Machine Learning-1_0mwik9nq.mp4 81MB
  48. 3.1 Lists-1_xq8t62k3.mp4 77MB
  49. 6.5 Additional Concepts-1_pe96vxli.mp4 73MB
  50. 7.1 Introduction-1_zrs05h1z.mp4 72MB
  51. 3.6 Queues-1_fb1syknh.mp4 66MB
  52. Data Structures, Algorithms, and Machine Learning Optimization - Summary-1_c7y8c31a.mp4 61MB
  53. 7.5 Bonus - Pandas DataFrames-1_0qdxrtbz.mp4 57MB
  54. 7.6 Resources for Further Study of DSA-1_yotxi7qk.mp4 54MB
  55. Topics-1_ojmlg5t3.mp4 48MB
  56. 7.4 Additional Concepts-1_gs4yyv04.mp4 47MB
  57. 3.4 Doubly-Linked Lists-1_mg3e611v.mp4 45MB
  58. 7.2 Directed versus Undirected Graphs-1_8owxblcg.mp4 42MB
  59. Topics-1_lnxw7w1d.mp4 40MB
  60. Topics-1_14lwnrox.mp4 38MB
  61. Topics-1_h8oxrxkq.mp4 33MB
  62. Topics-1_9l2kqjwl.mp4 30MB
  63. Topics-1_6t08jff9.mp4 28MB
  64. Topics-1_k8xqbx14.mp4 25MB
  65. Topics-1_il0kt54q.mp4 23MB
  66. Topics-1_z0h0ef88.mp4 19MB
  67. Uploaded by [Coursesghar.com].txt 1KB
  68. [TGx]Downloaded from torrentgalaxy.to .txt 564B
  69. !! IMPORTANT Note !!.txt 283B
  70. !!! Please Support !!! [CoursesGhar.Com].txt 197B
  71. Join Our Telegram Group For More Updates !!!.url 114B
  72. Visit coursesghar.com for more awesome tutorials.url 114B