In order to get more accurate results, our search has the following Google-Type search functionality:
If you use '+' in front of a word, then that word will be present in the search results.
ex: Harry +Potter will return results with the word 'Potter'.
If you use '-' in front of a word, then that word will be absent in the search results.
ex: Harry -Potter will return results without the word 'Potter'.
If you use 'AND' between two words, then both of those words will be present in the search results.
ex: Harry AND Potter will return results with both 'Harry' and 'Potter'.
If you use 'OR' between two words, then bth of those words may or may not be present in the search results.
ex: Harry OR Potter will return results with just 'Harry', results with just 'Potter' and results with both 'Harry' and 'Potter'.
If you use 'NOT' before a word, then that word will be absent in the search results.
ex: Harry NOT Potter will return results without the word 'Potter'.
Placing '""' around words will perform a phrase search. The search results will contain those words in that order.
ex: "Harry Potter" will return any results with 'Harry Potter' in them, but not 'Potter Harry'.
Using '*' in a word will perform a wildcard search. The '*' signifies any number of characters. Searches can not start with a wildcard.
ex: Pot*er will return results with words starting with 'Pot' and ending in 'er'. In this case, 'Potter' will be a match.
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DATA CONSCIENCE ALGORITHMIC S1EGE ON OUR HUM4N1TY EXPLORE HOW D4TA STRUCTURES C4N HELP OR H1NDER SOC1AL EQU1TY Data has enjoyed 'bystander' status as we've attempted to digitize responsibility and morality in tech. In fact, data's importance should earn it a spot at the center of our thinking and strategy around building a better, more ethical world. It's use-and misuse-lies at the heart of many of the racist, gendered, classist, and otherwise oppressive practices of modern tech. In Data Conscience: Algorithmic Siege on our Humanity, computer science and data inclusivity thought leader Dr. Brandeis Hill Marshall delivers a call to action for rebel tech leaders, who acknowledge and are prepared to address the current limitations of software development. In the book, Dr. Brandeis Hill Marshall discusses how the philosophy of "move fast and break things" is, itself, broken, and requires change. You'll learn about the ways that discrimination rears its ugly head in the digital data space and how to address them with several known algorithms, including social network analysis, and linear regression A can't-miss resource for junior-level to senior-level software developers who have gotten their hands dirty with at least a handful of significant software development projects, Data Conscience also provides readers with: Discussions of the importance of transparency Explorations of computational thinking in practice Strategies for encouraging accountability in tech Ways to avoid double-edged data visualization Schemes for governing data structures with law and algorithms