, 6 tweets, 7 min read Read on Twitter
#Bigdata vs Machine Learning vs Artificial Intelligence
By Irene Aldridge
☝️author High-Frequency Trading: A Practical Guide to #Algorithmic Strategies& #Trading Systems
☝️co-author Real-Time Risk: What Investors Should Know About #Fintech,#highfrequencytrading and FlashCrashes
1. ☝️🧐➿🔢 In traditional #statistics or #econometrics, researchers make assumptions about #data distributions ahead of the analysis
2. 🥇💪#machinelearning = the 1st discipline to apply #efficiency to #problemsolving brought by #computers & their enhanced computational power
3. 🤗➿🔢#ML scientists try to reduce #assumptions about the data as much as possible&let the data (&computers) decide what fits best.
4. ♾➡️🔤🌐#Datascience identifies core characteristics of the data, summarized by what has been known as #characteristic values (#eigenvalues)
5. ⬛️➡️▪️These data #descriptors capture statistical properties of the data in a succinct & computer-friendly way, elucidating the key #drivers of data in the #process and shrinking datasets into a manageable smaller-scale #optimization problem.
6. 🤐🔢🤑#ArtificialIntelligence is the output of #datascientists letting the #data do the talking
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