What does blockchain mean for data science?
The 2015 World Economic Forum, underlined the concept of blockchain as one of the six future megatrends for the next decade. A possible impact on transaction activities [...]
The 2015 World Economic Forum, underlined the concept of blockchain as one of the six future megatrends for the next decade. A possible impact on transaction activities [...]
Using in-depth analysis of blockchains through the data they produce and pattern recognition across thousands of interactions, it may be possible to identify nefarious users and those [...]
We have blockchain tech’s promise of near-frictionless value exchange and artificial intelligence’s ability to accelerate the analysis of massive amounts of data. The joining of the two [...]
Last year, researchers were able to fool a commercial facial recognition system into thinking they were someone else just by wearing a pair of patterned glasses. A [...]
What if part of your job became teaching a computer everything you know about doing someone’s job — perhaps your own? Before the machines become smart enough [...]
In a paper posted to the arXiv preprint server this week, a team of computer scientists from the Renmin University of China in Beijing describes their system [...]
How Does Machine Learning Work?Machine learning is often referred to as magical or a black box:Insert data > magic black box > mission accomplished.Let’s look at the [...]
Programming used to be about translation: expressing ideas in natural language, working with them in math notation, then writing flowcharts and pseudocode, and finally writing a program. [...]
If we go by the facts then every day 2.5 Quintillion Bytes of Data is created in the world. This data also has the repetitive and erroneous [...]
In some broader sense, the epistemological notion of ground truth could apply to any machine-learning approach, if taken to mean the prior understanding of what sorts of [...]