Angle & Ratio vs Allocate3M

"Angle & Ratio" is a useful tool that you can measure the angle or ratio using a picture. You can create segments by moving the marks freely, so you can get the angle of arms or legs, or inclination of body. These segments are used to measure of ratio. Of course, you can save the result as a JPEG format. 【Usage】 1. Prepare a picture If you select a picture from gallery, you can adjust the size and position of the picture. Or when you take a picture, you will shoot the target in center of the view. 2. Measure of the angle Please move the marks at the position which you want to measure (the marks [1], [2], [3], [4] are in order from the top). The angle between two segments [1]-[2] and [3]-[4] is displayed on the top of screen. 3. Measure of the ratio Please move the marks at the position which you want to measure (the marks [1], [2], [3], [4] are in order from the top). The ratio of [1]-[2] to [2]-[3] and [3]-[4] is displayed under the angle ([1]-[2] is always 100).

Machine learning and data analytics are increasingly being used for resource allocation, increasing growth rates or reducing volatility by allocating limited financial, human, technological, time, or natural resources to the tasks and projects that need them most. The “Mean-Variance” Model is the most classic resource allocation model and is widely used in various industries. Common application scenarios: 1. Seeking the allocation weights with the highest growth rate under a specific level of volatility. For example, you can allocate resources based on historical sales data from 500 European retail stores. The “Mean-Variance” model uses the Monte Carlo method to find a set of allocation weights that have the optimal sales growth rate. 2. Weights are assigned based on volatility in order to seek stability. For example, you can allocate your procurement budget based on the historical raw material prices of 300 suppliers in the Asia-Pacific region. The “Risk-Parity” model uses Newton's method to find a set of allocation weights with equal volatility to reduce the risk of raw material price fluctuations. Allocate3M combines three models: “Mean-Variance”, “Black-Litterman”, and “Risk-Parity”, to help you optimize resource allocation results from different perspectives.