book2/_toc.yml at main · code-first-ml/book2 · GitHub

1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
format: jb-book
root: intro
parts:
  - caption: Introduction
    chapters:
      - file: notebooks/introduction/mle_coin
  - caption: Probability
    chapters:
      - file: notebooks/probability/sample-space
      - file: notebooks/probability/random-variable
      - file: notebooks/probability/pmf
      - file: notebooks/probability/univariate-normal
      - file: notebooks/probability/univariate-normal-expectations
      - file: notebooks/probability/mvn-introduction
      - file: notebooks/probability/mvn-marginal
#  - caption: Statistics
#    chapters:
#  - caption: PGM
#    chapters:
#  - caption: Information Theory
#    chapters:
#  - caption: Optimization
#    chapters:
#  - caption: Inference Algorithms, Overview
#    chapters:
#  - caption: Message Passing
#    chapters:
  - caption: Variational Inference
    chapters:
      - file: notebooks/introduction/variational
  - caption: Monte Carlo Inference
    chapters:
      - file: notebooks/sampling/monte-carlo
  - caption: MCMC
    chapters:
      - file: notebooks/sampling/rejection-sampling-lr
      - file: notebooks/sampling/Metropolis-Hastings
      - file: notebooks/sampling/2021-03-10-importance-sampling
      - file: notebooks/sampling/2021-03-10-rejection-sampling
      - file: notebooks/sampling/2022-02-04-sampling-normal.ipynb
      - file: notebooks/sampling/2020-04-16-inverse-transform.ipynb
      - file: notebooks/sampling/2014-05-01-gibbs-sampling.ipynb
      - file: notebooks/sampling/2014-07-01-mcmc_coins.ipynb
#  - caption: Sequential Monte Carlo
#    chapters:
  - caption: Bayesian ML
    chapters:
      - file: notebooks/bayesian_ml/2021-03-23-bayesian-ml
      - file: notebooks/bayesian_ml/2021-04-14-bayesian-linear-regression
      - file: notebooks/bayesian_ml/2021-03-29-bayesian-model-selection
      - file: notebooks/bayesian_ml/2021-03-27-Marginal-Likelihood-2
      - file: notebooks/bayesian_ml/2021-03-31-derivation-of-marginal-likelihood
#  - caption: Sampling from Distributions
#    chapters:
#
  - caption: Graphical Models
    chapters:
      - file: notebooks/graphical_models/2022-02-15-draw-graphical-models.ipynb
  - caption: Mixture Models
    chapters:
      - file: notebooks/mixture_models/2022-02-14-GMM.ipynb
  - caption: Information Theory
    chapters:
      - file: notebooks/information_theory/kl-divergence.ipynb
      - file: notebooks/information_theory/jensen-inequality.ipynb

  - caption: Variational Models
    chapters:
      - file: notebooks/variational_models/2022-02-12-variational-inference.ipynb
  - caption: Bayesian ML with PyMC
    chapters:
      - file: notebooks/bayesian_ml_with_pymc/2021-03-11-blr-pymc
      - file: notebooks/bayesian_ml_with_pymc/2021-03-12-logistic-bayesian
      - file: notebooks/gaussian_processes/2021-03-16-GP-PyMC3
      - file: notebooks/gaussian_processes/2021-03-17-lls-gp-pymc3
  - caption: Bayesian ML with Pyro
    chapters:
      - file: notebooks/bayesian_ml_with_pyro/2021-08-20-Bayesian.ipynb
      - file: notebooks/bayesian_ml_with_pyro/2022_02_17_pyro_linreg.ipynb
      - file: notebooks/bayesian_ml_with_pyro/2022-02-20-condition-pyro.ipynb
  - caption: Bayesian ML with PyTorch
    chapters:
      - file: notebooks/bayesian_ml_with_pytorch/2022-02-09-pytorch-learn-normal.ipynb
      - file: notebooks/bayesian_ml_with_pytorch/2022-02-11-pytorch-learn-normal-map.ipynb
      - file: notebooks/bayesian_ml_with_pytorch/2022-02-17-ppca.ipynb
      - file: notebooks/bayesian_ml_with_pytorch/2022-02-14-logistic-regression.ipynb
  - caption: Bayesian ML with Tensorflow Probability
    chapters:
      - file: notebooks/bayesian_ml_with_tfp/2022-01-26-tfp-distributions.ipynb
      - file: notebooks/bayesian_ml_with_tfp/2022-02-07-coin-toss.ipynb
      - file: notebooks/bayesian_ml_with_tfp/2022-01-28-tfp-linear-regression.ipynb
      - file: notebooks/bayesian_ml_with_tfp/2022-02-05-lr.ipynb
      - file: notebooks/bayesian_ml_with_tfp/2022-02-05-simple-dgm.ipynb
  - caption: Bayesian ML with Julia
    chapters:
      - file: notebooks/bayesian_ml_with_julia/2021-09-01-Hello-Julia-Language.ipynb
  - caption: Gaussian Processes
    chapters:
      - file: notebooks/gaussian_processes/2019-08-20-gaussian-processes.ipynb
      - file: notebooks/gaussian_processes/2020-03-26-gp.ipynb
      - file: notebooks/gaussian_processes/2021-04-15-LLS-GP
      - file: notebooks/gaussian_processes/2021-04-15-deep-gp-from-scratch
      - file: notebooks/gaussian_processes/2021-04-16-ard-gp
      - file: notebooks/gaussian_processes/2021-04-16-GP-vs-DeepGP
      - file: notebooks/gaussian_processes/2022-02-23-gp_rff
      - file: notebooks/gaussian_processes/2020-03-29-param-learning.ipynb
      - file: notebooks/gaussian_processes/2021-09-03-param-learning-sgd.ipynb
      - file: notebooks/gaussian_processes/2020-06-26-gp-understand.ipynb
      - file: notebooks/gaussian_processes/pyro-deep-gp
      - file: notebooks/gaussian_processes/pyro-binary-classification
      - file: notebooks/gaussian_processes/simulate-learn-params.ipynb

  - caption: Linear Regression
    chapters:
      - file: notebooks/linear_regression/2022_02_21_coordinate_descent_failure.ipynb
  - caption: Generative Adversarial Networks
    chapters:
      - file: notebooks/gans/2021-05-31-GAN.ipynb
  - caption: Hidden Markov Models
    chapters:
      - file: notebooks/hmms/2013-06-01-hmm_simulate.ipynb
      - file: notebooks/hmms/2013-07-01-hmm_continuous.ipynb
  - caption: Tensor Factorization
    chapters:
      - file: notebooks/tensor_factorization/2017-04-19-nmf-out-matrix.ipynb
      - file: notebooks/tensor_factorization/2017-04-20-parafac-out-tensor.ipynb
      - file: notebooks/tensor_factorization/2017-08-13-mf-autograd-adagrad.ipynb
      - file: notebooks/tensor_factorization/2017-04-21-constrained-nmf-cvx.ipynb
  - caption: Neural Networks
    chapters:
      - file: notebooks/neural_networks/2020-03-08-keras-neural-non-linear.ipynb
      - file: notebooks/neural_networks/2020-02-28-xor-relu-vector.ipynb
      - file: notebooks/neural_networks/2020-03-02-linear-scratch.ipynb
      - file: notebooks/neural_networks/2018-01-13-denoising.ipynb
  - caption: Expectation Maximization
    chapters:
      - file: notebooks/em/2014-06-01-em.ipynb
  - caption: Recommender Systems
    chapters:
      - file: notebooks/recommender_systems/2017-12-18-recommend-keras.ipynb
      - file: notebooks/recommender_systems/2017-12-29-neural-collaborative-filtering.ipynb
  - caption: Active Learning
    chapters:
      - file: notebooks/active_learning/2018-06-20-active-committee
      - file: notebooks/active_learning/2022_01_24_Query_by_Committee.ipynb
      - file: notebooks/active_learning/2020-04-21-active-learning-with-bayesian-linear-regression
      - file: notebooks/active_learning/2022-03-06-maximal-expected-error-reduction
  - caption: NNs for Time Series
    chapters:
      - file: notebooks/nn_for_timeseries/2024-06-15-rnn-lstm-transformer.ipynb

  - caption: JAX
    chapters:
      - file: notebooks/jax/introduction-jax.ipynb
      - file: notebooks/ml_softwares/2022-02-09-autograd-pytorch-jax.ipynb
      - file: notebooks/ml_softwares/2017-08-12-linear-regression-adagrad-vs-gd.ipynb
  - caption: Others
    chapters:
      - file: notebooks/others/2021-03-24-sigmoid
  - caption: Appendix 1 - Linear Algebra for ML
    chapters:
      - file: notebooks/appendix_1_-_linear_algebra_for_ml/2021-03-15-eigen
      - file: notebooks/appendix_1_-_linear_algebra_for_ml/2021-03-15-determinant
      - file: notebooks/appendix_1_-_linear_algebra_for_ml/2021-03-15-Positive-semi-definite
      - file: notebooks/appendix_1_-_linear_algebra_for_ml/2022-02-11-matrix.ipynb
  - caption: Appendix 2 - Stochastic processes
    chapters:
      - file: notebooks/appendix_2_-_stochastic_processes/2021-03-19-stochastic-processes
      - file: notebooks/appendix_2_-_stochastic_processes/2021-03-17-Stationary-Time_Series
      - file: notebooks/appendix_2_-_stochastic_processes/2021-03-23-Stationarity-stochastic-processes
  - caption: References
    chapters:
      - file: notebooks/references/references.md