๐ช๐ต๐ฎ๐ ๐ฑ๐ผ๐ฒ๐ ๐ฆ๐ง๐ฅ๐๐ช๐๐๐ฅ๐ฅ๐ฌ ๐ต๐ฎ๐๐ฒ ๐๐ผ ๐ฑ๐ผ ๐๐ถ๐๐ต ๐๐ฎ๐๐ฎ ๐ฆ๐ฐ๐ถ๐ฒ๐ป๐ฐ๐ฒ?
Nothing (fruit-wise) & everything (AI-wise) ๐ ๐ ๐
OpenAI has released its latest "Strawberry" upgrade and there are some brilliant AI and development folks who have posted very insightful articles on this already.
Given the features and the "thinking" that the new model is engaging in before responding, the project unveils a whole new era of GenAI that can check its own logic to a large extent.
Since AI and data are so interconnected, I couldn't resist presenting an informative take on the concepts of data science that begin with the letters of the word STRAWBERRY.
Watch the video first and then read the explanation for the best understanding!
As you are reading these words and definitions, ask yourself how many of these terms or concepts are you comfortable with.
That is a good indicator of the minimal data literacy that leaders and teams in most Businesses require in order to meaningfully harness their data to obtain applicable insights.
๐ฆ๐ง๐ฅ๐๐ช๐๐๐ฅ๐ฅ๐ฌ
1. Standard Deviation: A spread of values around the mean.
2. Time Series: A sequence of data points collected or recorded at specific time intervals.
3. Regression: Used to model the relationship between dependent and independent variables.
4. Average: Mean, Median, or Mode used to represent the central value in a dataset. (usually represents the Mean)
5. Weight: A factor assigned to data points to signify their importance in a calculation or model.
6. Bias: A systematic error that leads to an incorrect estimate of a parameter or prediction.
7. Estimate: An approximation or prediction of a value based on data and statistical methods.
8. Rate: A measure of change in one quantity relative to another.
9. Ratio: A measure of the relative sizes of two or more values.
10. Y-variable: The dependent variable or the outcome of interest for which models are created or estimated.
#PostItStatistics #DataScience #ai
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