### Tags

### Top Posts & Pages

- A Tutorial on Hidden Markov Model with a Stock Price Example - Part 1
- Executing a Python Script from a C# Program
- A Tutorial on Hidden Markov Model with a Stock Price Example – Part 2
- Two Ways to Perform Linear Regression in Python with Numpy and Scikit-Learn
- Linear and Cubic Spline Interpolation
- Gaussian Mixture Model with Application to Anomaly Detection

### Archives

### Blogs I Follow

# Monthly Archives: December 2016

## Data Analytics Models in Quantitative Finance and Risk Management

Sharing a KDNuggets article on some examples of how PCA, Monte Carlo and linear regression are used in quantitative finance and risk management: Source: Data Analytics Models in Quantitative Finance and Risk Management Advertisements

Posted in Home, Machine Learning
Tagged Data science, Machine Learning

## Going from Sum of Squared Errors to the Maximum Likelihood

Greetings, my blog readers! In this post I will tackle the link between the cost function and the maximum likelihood hypothesis. The idea for this post came to me when I was reading Python Machine Learning by Sebastian Raschka; the … Continue reading

Posted in Home, Machine Learning
Tagged logistic regression, Machine Learning, maximum likelihood

## How To Make Your Mark As A Woman In Big Data

A great post from KDnuggets.com: Source: How To Make Your Mark As A Woman In Big Data

Posted in Home

## It is all in the Optimization Function

At one of the meetups on data science I recently attended, a question about when AI would reach the level of human thinking was posed. I was surprised to see people raising hands in response to a year of 2030, 2045, … Continue reading

Posted in Machine Learning
Tagged AI, Machine Learning

## I am a data scientist

Three years ago this week, I wrote a blog post, “Data science is statistics”. I was fiercely against the term at that time, as I felt that we already had a data science, and it was called Statistic… Source: I … Continue reading

Posted in Home