Implementing Machine Learning for Finance: a Systematic Approach to Predictive Risk and Performance Analysis for Investment Portfolios by Nokeri
Kalaignar Centenary Library, Madurai · 1 of 3 copies available to borrow
Where to find it: Third floor, call number 6.3 NOK.
Book details
- Author
- Nokeri
- Publisher
- Apress
- Year
- 2022
- ISBN
- 9781484279090
Copies in the library (3)
| Floor | Call number | Barcode | Status |
|---|---|---|---|
| Third floor | 6.3 NOK | 147650 | Available to borrow |
| Fourth floor | 6.3 NOK | 147648 | Reference only (read in the library) |
| Third floor | 6.3 NOK | 147649 | On loan |
Next to this on the shelf
- Machine Learning on Geographical Data Using Python: Introduction Into Geodata With Applications and Use Cases 6.3 KOR
- Artificial Intelligence And Pattern Classification 6.3 KUM
- Deep Learning With Applications Using Python: Chatbots and Face, Object, and Speech Recognition With Tensorflow and Keras 6.3 MAN
- Neural Networks for Electronics Hobbyists: A Non-Technical Project-Based Introduction 6.3 MCK
- Implementing Machine Learning for Finance: a Systematic Approach to Predictive Risk and Performance Analysis for Investment Portfolios (this book)
- MATLAB Machine Learning Recipes: A Problem-Solution Approach 6.3 PAL
- TensorFlow 2.x in the Colaboratory Cloud: An Introduction to Deep Learning on Google’s Cloud Service 6.3 PAP
- Machine Learning for Decision Makers: Cognitive Computing Fundamentals for Better Decision Making 6.3 PAT
- Complex Analysis: an Invitation (2nd Edition) 6.3 RAO
More by Nokeri
- Data Science Solutions With Python: Fast And Scalable Models Using Keras Pyspark Mllib H2O Xgboost And Scikit-Learn
- Data Science Revealed: With Feature Engineering, Data Visualization, Pipeline Development, And Hyperparameter Tuning
- Econometrics And Data Science: Apply Data Science Techniques To Model Complex Problems And Implement Solutions For Economic Problems