Blogging Tips: machine learning

Showing posts with label machine learning. Show all posts

When machine replace human

Recently, a good friend sent me an article from Harvard Business Review called "Beyond Automation", written by Thomas H. Davenport...

As a data scientist / consultant, in many cases we are being called in to work with domain experts who has in-depth business knowledge of in...

In this post, I want to summarize a common pattern that I have used in my previous text mining projects. Text mining is different in that it...

We want to estimate some "statistics" (e.g. average income, 95 percentile height, variance of weight ... etc.) from a population. ...

"Cold Start" is a common problem happens quite frequent in recommendation system. When a new item enters, there is no prior histo...

"Data science" and "Big data" has become a very hot term in last 2 years. Since the data storage price dropped signific...

Entity recognition is commonly used to parse unstructured text document and extract useful entity information (like location, person, brand)...

Optimization is a very common problem in data analytics. Given a set of variables (which one has control), how to pick the right value such...

In analyzing social network, one common problem is how to detecting communities, such as groups of people who knows or interacting frequentl...

In Machine Learning, gradient descent is a very popular learning mechanism that is based on a greedy, hill-climbing approach. Gradient Desce...

Measuring similarity or distance between two data points is very fundamental to many Machine Learning algorithms such as K-Nearest-Neighbor,...

In previous posts, we have discussed various machine learning techniques including linear regression with regularization, SVM, Neural networ...