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Matematika
Table of Contents
Part 1: Otf
1. Sharing Session Gathering Pra-OTF
2. Reviu Pelaksanaan SPMB TB 2025
3. Strategi Lulus & Sharing Session Mahasiswa Blended Learning
4. Trial Class TBI
5. Trial Class TPA
6. Pembahasan TO TBI
7. Pembahasan TO TPA
Part 2: Tbi transkrip
8. Tenses
9. Passive Voice
10. Adjective Clause
11. Comparison, Gerund & Infinitive
12. Inversion & Causative
13. Question Tags & Elliptical
14. Parallel & Concordance
15. Parallel & Concordance
16. Conditional, Subjunctive & Pronoun
Part 3: Tbi
17. Tenses
18. Passive Voice
19. Adjective Clause
20. Comparison, Gerund & Infinitive
21. Inversion & Causative
22. Question Tags & Elliptical
23. Parallel & Concordance
24. Parallel & Concordance
25. Conditional, Subjunctive & Pronoun
Part 4: Tpa transkrip
26. Verbal
27. Wacana & Penarikan Kesimpulan
28. Bilangan Bulat & Pecahan
29. Bangun Datar & Bangun Ruang
30. Aritmatika Sosial & Barisan
31. Himpunan & Sudut
32. Perbandingan & Jarak, Kecepatan dan Waktu
33. Perbandingan & Jarak, Kecepatan dan Waktu
34. Peluang & Persamaan & Pertidaksamaan
35. Peluang & Persamaan & Pertidaksamaan
Part 5: Lmvr
36. lmvr-1
37. lmvr-2
38. lmvr-3
39. lmvr-4
40. lmvr-5
41. lmvr-6
42. lmvr-7
43. lmvr-8
44. lmvr-9
45. lmvr-10
46. lmvr-11
47. lmvr-12
48. lmvr-13
49. lmvr-14
50. lmvr-15
51. lmvr-16
52. lmvr-17
53. lmvr-18
54. lmvr-19
55. lmvr-20
56. lmvr-21
57. lmvr-22
58. lmvr-23
59. lmvr-24
60. lmvr-25
61. lmvr-26
62. lmvr-27
Part 6: Build a reasoning model from scratch
63. Understanding reasoning models
64. Generating text with a pre-trained LLM
65. Evaluating reasoning models
66. Improving reasoning with inference-time scaling
67. Inference-time Scaling via Self-Refinement
68. Training reasoning models with reinforcement learning
69. Improving GRPO for reinforcement learning
70. Distilling reasoning models for efficient reasoning
71. References and further reading
72. Exercise solutions
73. Qwen3 LLM source code
74. Common approaches to model evaluation
Part 7: Belajar matematika untuk data science
75. Data Univariat dan Multivariat
76. Dasar-Dasar Probabilitas
77. Distribusi Statistik
78. Statistik Inferensial
79. Studi Kasus A/B Testing dengan Python
80. Matematika pada Algoritma AI
81. Proyek Akhir
Part 8: Membangun sistem machine learning
82. Pengantar Machine Learning Operations (MLOps)
83. Membangun dan Mengelola Metadata dengan Tools Open-Source
84. Membangun Model Machine Learning yang Andal
85. Serving Model dengan Gaya
86. Monitoring dan Alerting Model Machine Learning
87. Proyek Akhir
Part 9: Mai
88. mai-1
89. mai-2
90. mai-3
91. mai-4
92. mai-5
93. mai-6
94. mai-7
95. mai-8
96. mai-9
97. mai-10
98. mai-11
Part 10: Mbg
99. mbg-1
100. mbg-2
101. mbg-3
102. mbg-4
103. mbg-5
104. mbg-6
105. mbg-7
106. mbg-8
107. mbg-9
108. mbg-10
109. mbg-11
110. mbg-12
111. mbg-13
Part 11: Draft
112. draf-1
113. draf-2
114. draf-3
115. draf-4
116. draf-5
117. draf-6
118. draf-7
References
Draft outline
Fork at GitHub
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