All Posts

Covering the basics of SVG as code and HTML elements. In preparation for D3 deep dive

How to query segmented data in AWS Athena and more.

How to correctly pass errors from Lambda to API Gateway to prevent Status 200 responses on errors

Various Lambda examples to reference. Calling DynamoDB and other microservices.

Notes on AWS Glue tables, crawlers etc.

An introduction to AWS Step Functions which is a diagram based system to manage complex state based functions that tie in multiple AWS microservices.

Using AWS EventBridge to schedule automations, and the automations available to us.

How to invite a user to an Amazon Advertising account. Giving them permission to view or edit advertisement selectively.

Training and Testing XGBoost Algorithm using Sagemaker built in algorithm. Deploy and test model.

Using Python to manipulate data fields/CSV files/spreadsheets

Merging Datasets and creating a machine learning model with XGBoost Algorithm

Train Artificial Neural Networks for Regression Tasks

Multiple Linear-Regression With SageMaker Algorithm

Multiple Linear-Regression metrics and KPI's. Measuring error and accuracy of regression models.

Multiple Linear-Regression

Training a linear learner model in SageMaker Studio with built in algorithms

Using Sagemaker and Sagemaker studio to launch Jupyter notebook instances, build, train and deploy a machine learning model.

Notes on various sagemaker algorithms. Pre-processing, training, validation acceptable data formats etc.

A reference of common general terminology used in Artificial Intelligence/Machine Learning

How to properly configure requests to the Amazon Advertising API. Sample requests in Postman.