Data Science Tech Brief By HackerNoon HackerNoon

This story was originally published on HackerNoon at: https://hackernoon.com/data-science-for-portfolio-optimization-markowitz-mean-variance-theory.
The theory formulates a mathematical model to optimize the asset allocations to gain the maximum return for a given risk-level.
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An investment portfolio comprises various assets such as stocks and bonds. Every investor starts with a fixed investment capital and decides how much to invest in each asset. Data science techniques such as the Markowitz mean-variance theory help determine the optimal share allocation to build the optimal portfolio.

The theory formulates a mathematical model to optimize the asset allocations to gain the maximum return for a given risk-level. It analyzes different financial assets and considers their rate of return and risk factors, given their historical trends. The rate of return is an approximation of how much profit the asset will generate over a given time period. The risk factor is quantified using the standard deviation of the asset value. A higher deviation represents a volatile asset and, hence, higher risk.

The return and risk values are calculated for various portfolio combinations and are represented on the efficient frontier curve. The curve helps investors determine the highest returns against their selected risk.

This story was originally published on HackerNoon at: https://hackernoon.com/10-best-datasets-for-time-series-analysis.
In order to understand how a certain metric varies over time and to predict future values, we will look at the 10 Best Datasets for Time Series Analysis.
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Time series data is essentially a collection of data points organized in time. Time is frequently the independent variable, and the purpose is usually to forecast the future in time series. In this article, we will look at the *10 Best Datasets for Time Series Analysis,* in order to understand how a certain metric varies over time.

This story was originally published on HackerNoon at: https://hackernoon.com/understanding-scaling-law-through-data-science-lenses.
Despite the immense promise of LMs, initial endeavors to apply pre-trained LMs to downstream tasks have encountered significant challenges.
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This story was written by: @tianchengxu. Learn more about this writer by checking @tianchengxu's about page,
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Despite the immense promise of LMs as task-neutral foundation models, initial endeavors to apply pre-trained LMs to downstream tasks encountered significant challenges.

This story was originally published on HackerNoon at: https://hackernoon.com/why-postgresql-is-the-bedrock-for-the-future-of-data.
Explore the rise of PostgreSQL as the de facto database standard, its impact on software development, and the key trends driving its widespread adoption.
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PostgreSQL's ascendancy as the go-to database standard is rooted in its adaptability, reliability, and extensive ecosystem. This article delves into the reasons behind its dominance, from tackling database complexity to empowering developers to build the future with confidence. Discover how PostgreSQL is revolutionizing software development and data management practices.

This story was originally published on HackerNoon at: https://hackernoon.com/how-to-implement-multi-group-bar-chart-and-interact-with-highlighting-by-grouping-dimension.
Solution for implementing a multi-group bar chart similar to the following figure:
Expect two groups to differentiate in style through color transparency.
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Solution for implementing a multi-group bar chart similar to the following figure:

Expect two groups to differentiate in style through color transparency.

When the mouse hovers over a column block, all blocks of the same color are highlighted in linkage.

This story was originally published on HackerNoon at: https://hackernoon.com/unlocking-the-invaluable-role-of-big-data-in-modern-supply-chain-management.
Let’s take a deeper look at the scale of impact the big data revolution can have for global supply chains and vendor management.
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This story was written by: @dmytrospilka. Learn more about this writer by checking @dmytrospilka's about page,
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Let’s take a deeper look at the scale of impact the big data revolution can have for global supply chains and vendor management.