Using Machine Learning to Enhance Decision Making

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Data at scale. What does this term mean? The term “Data at Scale” refers to moving from a small repository to large repository by increasing volume of data and retaining tools and usage.

Data are facts collected for analysis or reference.

Data Mining is a process of discovering patterns in large data sets involving methods like statistics, Machine Learning etc.

Decision Support is a system that supports business or organizational decision-making activities often using complex algorithm.

Machine Learning is the study of computer algorithms that improve automatically through experience

Using data processed with algorithms for aggregating data for ingestion to…


CODEX

The movement to simplify application development using Natural Language Processing

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One of the easiest examples of Natural Language Processing is the algorithms behind suggesting how to write a line of text, forms, and more. This is a favorable and productive tool. This can be adapted for use of making productivity enhanced for many needing to either communicate or instruct. Why limit to verbal or human communication?

Natural Language Processing is a subfield of linguistics, computer science, and artificial intelligence concerned with the interactions between computers and human language, in particular how to program computers to process and analyze large amounts of natural language data. -Wikipedia

However, the “Natural Language” does…


How detailed internet search can fix anything

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Photo by Blake Barlow on Unsplash

I have a personal story. It was a cold, cold day and was turning the key assuming my car would start. It didn’t. Did panic set in? It didn’t. I reached for my mobile and opened a browser.

I used my browser to navigate to a car repair website. This was a process of entering in key words where I tried several times using auto suggestions before letting the browser find results. This process uses advanced algorithms to autocomplete and find best matches. In this case, it was important to find the right page. …


How to construct a meaningful data dashboard to tell a story

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Data is a raw product of facts and observations. Using analysis, data can become information, knowledge. Communicating an analysis requires representation of information from data. There are many ways to present data to tell a story about findings. Placing multiple findings together in a visual arrangement is a data dashboard. This is a way to show a snapshot of findings and tell a story.

As an example, an Alzheimer's Disease dataset can be analyzed to show a picture of the disease based on data. Alzheimer's Disease is a degenerative…


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Photo by Pablo Orcaray on Unsplash

Right now, I can sit and imagine a day at the beach relaxing. I enjoy going to the beach. It is calming, relaxing. The beach is a place I have gone year round for leisure. I have not gone for months from being focused on other tasks and goals without taking time off for a trip.

I have a business. I write. I have a personal life. Now would be a great time to take a day and go to relax, take a walk, and if it were warm sit and relax. However, changing plans and making goals is a…


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Photo by shannon VanDenHeuvel on Unsplash

One of the most common activities is looking up on the internet, or internet searches. Searching is putting queries into the form and clicking to search. Afterwards, there are results from perfect fit to not applicable. This is done via a small amount of data analysis. In a search engine, scripts search for best fit by using Natural Language Processing to search for a match of phrases or tags. This system is based on machine learning. The output is an association between the term and content to find best fit and needed information.

What about searching for a common word…


Using Python to implement AI for Information Security

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Photo by Franck on Unsplash

Data Privacy and Data Protection are an important topics. Data privacy is not the same as data protection. Both of these are parts of information security or cybersecurity, where information based on data is under stewardship for proper storage and use by end users. Data stewardship can be its own role. However, it is a part of any position where data and information are handled. This role can become easier using toolsets to create automation and detect patterns in Python. Python Machine Learning libraries are available to include in code to verify, check, and automate pieces of data protection.

Data…


CODEX

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Photo by Mark König on Unsplash

Five top trends for 2021 in Artificial Intelligence and Machine Learning (AI/ML) for staying ahead of the curve. What is important for being effective for applying algorithms in coding to utilize data to solve problems?

Blockchain, is a technology that uses a sequential set of transactions leaving a defined register of events and process for combining tasks. Fusing AI/ML and blockchain for data solutions is coming.

Cloud, is scalable and virtual environments. These are available to set users with no physical location or provision requirement. …


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Photo by Scott Webb on Unsplash

Data resides in different sizes and types. Combining data can result in a spreadsheet or database. Thinking larger, across a business when placed in the cloud together, this grouping becomes a data lake. What changes between the local small amount of data to a data lake? The change is an increase of scale for quantity and complexity.

“Size is no guarantee of power.” J. K. Rowling

The data lake is cloud based repository that does not have to contain a set file system to store data. It can accommodate many data types and can be accessed by many users. …


For Assessment of Gender, Hypertension and Diabetes

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Photo by Christopher Rusev on Unsplash

There are different types of machine learning. Tree based machine learning is the most popular advanced algorithms for large and big data. There are four categories of machine learning. Python has libraries that can perform these types of learning to integrate into a coded solution for real problems.

Random Forest Algorithms can be used for classification or regression and are a form of tree based machine learning. The algorithm is based on branching by associations in data then pares to a result for a match of value and type or conclusive result based on math. …

Sarah Mason

Sarah Mason is a data analytics consultant at Sarah Mason Consulting LLC. LinkedIn sarahsmason | www.sarahmasonconsulting.com

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