
This course is for those working in Quantitative Finance who have an intermediate level of knowledge of concepts in Data Science and are looking to grow that knowledge to an advanced level.
Price per person (Ex. VAT): Provided on request
COURSE OVERVIEW
Take a look at what our course modules include in a little more detail:
Module One: kNN Design
What are the limits of a neural network?; Does more always make the networks stronger?; Computation costs and complications
Module Two: Big Data Manipulation
Introduction to Big Data; Hadoop and MapReduce functions; Storage vs. computation costs
Module Three: Advanced Statistics and Probability
Correlation and covariance; Moment and function derivatives; Precedent statistics
Module Four: Bayesian Inference and Gaussian Process
What is Bayesian Inference?; Gaussian distributions and process; Working with new ML model techniques
Module Five: NGrams and Their Applications
Text analysis basics; Understanding NGrams and their value; Bag of words concepts
Module Six: PyTorch Applications
Open source data science initiatives; PyTorch benefits and pitfalls; Supporting OS tools
If you have any questions about this course, please feel free to get in touch via email on info@thezishi.com or by calling +44 (0)204 551 8568 (please choose option 2).
This course is for those working in Quantitative Finance who have an intermediate level of knowledge of concepts in Data Science and are looking to grow that knowledge to an advanced level.
Price per person (Ex. VAT): Provided on request
The course is currently unavailable
We will notify you when it is available again. Just leave your email address: