4.35 avg rating — 9,301 ratings

"Standard introductory text for algorithms, recommended almost universally."

4.34 avg rating — 2,682 ratings

"A shorter, more cookbook style guide to algorithms. Good for identifying which algorithm applies to which problem."

4.09 avg rating — 90 ratings

"Standard text on string algorithms. Not necessarily for computational biologists."

4.12 avg rating — 205 ratings

"Possibly easier introduction to data structures and algorithms if you're familiar with Python. Available as an online interactive course."

4.32 avg rating — 1,898 ratings

4.34 avg rating — 520 ratings

"New but seems to have become an instant classic."

4.59 avg rating — 2,329 ratings

"A more introductory version of the classic "Elements of Statistic Learning" by Hastie et al"

4.21 avg rating — 538 ratings

4.36 avg rating — 292 ratings

4.19 avg rating — 259 ratings

4.17 avg rating — 329 ratings

3.50 avg rating — 418 ratings

3.77 avg rating — 240 ratings

4.52 avg rating — 488 ratings

"Engaging text covering a wide range of topics and weaving them together in an understandable way."

4.12 avg rating — 265 ratings

"The standard text on statistical NLP."

4.39 avg rating — 8,650 ratings

"The classic on data visualizaion - not so practical, but it will give you some key concepts to bear in mind as you design your own data visualizations."

4.09 avg rating — 535 ratings

"A good introduction to d3.js, which will help you make beautiful, interactive visualizations."

3.33 avg rating — 73 ratings

4.05 avg rating — 389 ratings

4.11 avg rating — 171 ratings

4.43 avg rating — 129 ratings

4.24 avg rating — 756 ratings

4.55 avg rating — 2,785 ratings