Eight Skills Available for Learning about Artificial Intelligence or Machine Learning

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Alexa is an AI from Amazon that is voice activated and can respond in natural language. It can perform information retrieval tasks, shopping notifications, and integrate to become a smart home device. Part of Alexa is access to Amazon Skills. Amazon Skills has access to many podcasts and apps for educational goals.

Skills for AI/ML

Searching for AI/ML skills yields a small piece of available skills mostly organized as…

May 2021

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Hello, the first Newsletter for the Inside Dataology Publication is finished. Expect a monthly newsletter with information about the publication and updates.

The publication covers topics in data from inside. Topics including career advice, personal experience, guides and tutorials are sections of the publication. Interested in writing for Inside Dataology?

More about Submissions Here.

Top three articles from April 2021

  1. Tools for Machine Learning and Artificial Intelligence in Analytics
  2. Using Data Mining in Digital Marketing Implementation Methods and Performance Metrics
  3. Easiest Way to Know Your Dataset

AI Bias, What and How?

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When creating an AI algorithm, natural language processing for a chatbot or phone system, a solution to recognize images via clustering data from a camera or sensor, there is a probability of a correct result. The gage is a statistical analysis representing the fit of solution to the expected or known results from a training set. Creating solutions that make sense and provide utility is a challenge to Artificial Intelligence and Machine Learning in real world settings. …

Summary Analysis of a Dataset

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Summary descriptions and descriptive summaries are not the same. The summary includes all variables or as selected and includes the major forms of statistics for a quick view of a datasheet.


Descriptive statistics are the present state of data in a dataset. These types of statistics cover information that helps evaluate and validate data. Often, this is done before more advances analysis that uses algorithms. On their own, descriptive statistics covers:

  • the number of fields and rows
  • values such as average, mean, minimum, and maximum for a given variable
  • standard of deviation

and more…

The use for descriptive statistics is…

Finding the trend for Business

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Predictive Analysis adapts variety of statistical techniques from data mining, predictive modelling, and machine learning that analyze current and historical data to make predictions about future or otherwise unknown events. This type of analysis uses a pool of stored information to generate trends and forecasting to understand “what happens next”. Understanding future behaviors and data trends allows for a reliable and repeatable was to engage and plan for work, home, or school.

How to use Predictive Analysis

There are several methods for predictive analysis. All ways to generate predictions of future behaviors require a pool of past or current data. Using predictive modeling and data…

Inside Dataology

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Continuous learning is a value I have held since college. Learning comes in different forms. There is formal classes (time-limited, with instructor), informal classes (self-paced, no instructor), reading, experience, and more ways to add. For every step on a path, it takes one further to the goal.

I decided to add a way to advocate, share experience, and develop community with my portfolio goals. The Inside Dataology project was started in January 2021 and is continuing through the year and possibly beyond. The project initially was a once a month thirty minute live session. A blog exists as a Medium…

Creating Efficient Solutions using a Modular Approach

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Python has extensive libraries for functions to use in programs as modular, reusable components. These buidling blocks accomplish a goal like using the Data library to import from a file and Math library for computation. There are libraries for math operations like Numpy and Keras for array manipulation. Python has extensive tools available within libraries to make data and process it.

Types of Libraries

Python contains over 200 libraries or modules according to Wiley Press as of 2015. Today, there are even more. Types of modules or libraries are standard or extended. Standard are included in a download or available version of Python…


Five Popular Artificial Intelligence Blogs

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AI, short for Artificial Intelligence, is becoming more integrated and used in products and projects for software development. The topic has been trending on many social media platforms and is now core of degree programs at major universities. The field is growing and anticipating to continue over next five to ten years. Searching via Google will produce many results.

Guidance for effective use of popular methods

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There are different techniques for data analysis, Machine Learning is one. Machine learning is the study of computer algorithms that improve on their own through experience and by processing data iteratively. Effectively using Machine Learning is not always easy. There are two types, supervised and unsupervised. Learning parameters, algorithms takes time and involves how much control is needed over how the machine will move through data using computation for association and inference to resolve the data to a solution for the intended proof or disproof of a hypothesis.


TensorFlow has a variety of examples available as GitHub, Google, or Jupyter…


Using Connections for reliable, efficient, and effective solutions

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For a proper data analysis, there needs to be data in a dataset. There are different ways to store data. Using a database is a common solution, and requires a valid connection between app and warehouse or data lake.

MSSQL and MySQL are the two most common variations of databases, both are SQL. There are differences in syntax but both are very similar. Creating a connection to either database removes a layer for efficient analytics by allowing the analytics engine to interface with the database without exporting data from the database and importing to the analytics platform.

Just the Basics

APIs for integration…

Sarah Mason

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

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