Part Two: Science (Data Science, Statistics, Machine Learning and AI)
9
Statistical and Machine Learning Models
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
Table of contents
9.1
Supervised Learning
9.2
Unsupervised Learning
9.3
Reinforcement Learning
9.4
CV
9.5
NLP
9.6
Recomendation System
9.7
A/B test
9.8
Time Series Analysis
9.9
Survival Analysis
Part Two: Science (Data Science, Statistics, Machine Learning and AI)
9
Statistical and Machine Learning Models
9
Statistical and Machine Learning Models
9.1
Supervised Learning
9.2
Unsupervised Learning
9.3
Reinforcement Learning
9.4
CV
9.5
NLP
9.6
Recomendation System
9.7
A/B test
9.8
Time Series Analysis
9.9
Survival Analysis
8
Exploratory Data Analaysis
10
Deep Learning