Two weeks ago, I had a presentation at TGA 2022 (Taiwan Geoscience Assembly) & Conference on Weather Analysis and Forecasting. The title was "Use Machine Learning to Classify Weather Opinions from WhatsApp Group: A Model Design and Evaluation for Raining Event Prediction". The term "Weather Opinion" is created for this research since the voice from… Continue reading Weather Opinion: Different people may have different perspectives to differentiate the same weather
When I reviewed the IOT applications in E-Commerce Inventory Management, I feel frustrated about there are too many potentials and I got lost in these applications. I think it’s better to have a more organize approach to group the applications into the inventory management sections. IOT, aka Internet of Things, is a bridge between physical… Continue reading IOT Applications in E-Commerce Inventory Management Workflow
Serverless app is one popular technical trend. How can we estimate the cost to deploy a serverless app to AWS? and what parts in the workflow should we consider when we rely on AWS services? These are the questions I am trying to find the answer in this post. The Serverless Web App The different… Continue reading The Workflow Cost Estimation of a Serverless Web Application on AWS (S3 + API Gateway + Lambda)
The order of applying AWS Lambda layers matters. When I tried to add AWS provided layer: “AWSSDKPandas-Python311” and my custom layer with googlemaps API library, I had to import the googlemaps library before AWSSDKPandas layer. Otherwise, there was always an ImportModuleError popped up: { "errorMessage": "Unable to import module 'lambda_function': cannot import name 'is_ascii' from… Continue reading The Order of Applying AWS Lambda Layers Matters – AWS Lambda Function and Layers
As Karabulut mentioned (2022), demand forecasting is one of the biggest challenge for supply chain leaders / retail executives. As we can forecast demand, we can plan the productivity and budgeting. With lack of demand forecasting, it’s easy to become out-of-stock or overstock and increase business costs. Weather information helps demand forecasting Steinker et al.… Continue reading Weather Factors Impact Demand Forecasting
In order to make a forecasting, we need to understand what’s we are predicting. Meteorologists analyze the weather situation before do the forecasting. Because there could be no two cases are the same, we classify similar characters weather situation into groups. Via classify the weather situation, we can predict the next possible status from the… Continue reading Weather Analysis Is for Better Understanding and Better Prediction
When we model the weather situation, there are some differences from the common workflow. In machine learning workflow, here is the general processes: To collect historical data and validation data, create the architecture of the model, train the model, evaluation and improvement, and deploy to an operational application. Due to the specialty of the weather… Continue reading The Specialties of a Machine Learning Workflow in Weather Domain
The impact of weather factors to brick-and-mortar stores is obvious. Rainy day is inconvenient, hot day is uncomfortable, and snowy day is dangerous, so people rather stay home instead of go out for shopping. If people stay home, does online shopping become more? Does the weather affect online business? This post summarizes the weather impact… Continue reading Weather Factors Impact on Online Sales
In order to deduce the relationship between weather and business performance, I am researching different literatures to find the solutions being used. Here are two types of solutions to present the relationship: (1) Identify the current weather pattern to explain the relationship to the business and (2) develop a regression model to include dependent variables… Continue reading Two Types of Weather Indexes for Business Performance
After we develop a weather forecasting model, we need to evaluate the performance of the model to know if it’s fulfill our needs. In this article, I discuss the processes to evaluate a weather forecasting model. Step 1. Know our requirement As Gordon reported in 2000, we need to know what’s we are trying to… Continue reading Weather Forecasting Model Evaluation Processes
When we wake up, we need make a decision based on the weather: what should I wear for today? Should I purchase a new clothes for my comfort in the coming season? The weather status affects our purchasing decision obviously. The following is a review for the following article, which discusses about the relationship between… Continue reading Literature Review for Weather Impact on Apparel Sector
Pou-Chang (John) Chen 