Appendices
References
Financial Machine Learning Ops
Preface
Part One: Domain Knowledge (Finance and Investment)
1
Macroeconomics
2
Accounting and Corporate Finance
3
Risk Factors
4
Financial Products
5
Portfolio Management
6
Financial Risk Management
Part Two: Science (Data Science, Statistics, Machine Learning and AI)
7
Mathematical and Statistical Background
8
Exploratory Data Analaysis
9
Statistical and Machine Learning Models
10
Deep Learning
11
LxM and Agentic AI
Part Three: Engineering (Data, Software, Machine Learning, AI)
12
Data Engineering
13
Cloud Computing
14
Distributed and Parallel Computing
15
Containerization
Part Four: Management (Project, Product, People)
16
Project Management
17
Product Management
18
People Management
Appendices
A
Bash Scripts
B
Python
References
Appendices
References
References
Knuth, Donald E. 1984.
“Literate Programming.”
Comput. J.
27 (2): 97–111.
https://doi.org/10.1093/comjnl/27.2.97
.
B
Python