Big 4 tech companies, Alphabet (Google), Amazon, Microsoft, and Apple, tech into digital health to deliver services and care with less frustration. The statistics are overwhelming that there needs to be change, but venturing into bringing healthcare more “tech”, virtual delivery and digital records, has met resistance from end users…

Four top trends for 2023 in Artificial Intelligence and Machine Learning (AI/ML) for upskilling and staying on trend. What is important in AI/ML? New technology, new issues, and new applications for algorithms that apply learning and rules to compute solutions from data. Natural Language Processing is an interdisciplinary subfield of…

Differences Between Data Processing and Data Ingestion — Analytics is the systematic computational analysis of data or statistics. This is an analysis of raw data or the derivative of data. Data Ingestion and Data Processing are different terms that are essential to support ETL implementations. Extract Transform and Load is a positive way to handle data and implements…

Using Techniques with Small to Big Data — Data are facts collected for analysis or reference. Small Data is data that is easily understood by individuals without processing. Large Data is data that requires processing by applications to be understood due to its size or complexity. Big Data is too large or complex to be processed by traditional…

How to Describe Data in Python and R — Descriptive summaries are a collection of descriptive statistics and include details about all variables or as selected and includes the major forms of statistics for a quick view of a datasheet. This is a quick way to define data and set expectations for analysis and a way to check if…

Match, XMatch, and Sort for Preparing Data — Data has different forms: character, integer, numeric, and more. For analysis, there are different steps where finding what is same, similar, or different can prove validity or increase utility of a dataset. Preparing data is the first step for analytics. Taking a descriptive summary before starting to understand data and…

4 Ways to Find Solutions for Big, or Large, Data — Data Mining is defined as the process of finding patterns for evaluating trends and significance in a dataset. This is associated with big data, but has value for large datasets too. Data Mining is a form of Machine Learning with various preferred methods depending on structure of the data and…