Introduction to Machine Learning - Data Visualization and Classification of 911 Dataset

Aiming towards exploring Machine Learning methodologies for classification, regression and detections of patterns in Datasets acquired from service industries to gain more insight. The service industry in consideration is the 911 help line service, whose fundamental operation is to extract requirement, triage the situation and allocate emergency resources to the customers in minimum time possible. As demand of such service increases with increasing population in a specific region or city, allocating resources appropriately is the primary concern and growing challenge. Similar model can be applied to Health Services.

Analysis of acquired data, application of some function in order to initiate processing, development and application of models, training and testing the model, fine tuning it with feedback or results are the basic foundation of Machine Learning which will be employed to the model and produce some findings in this paper.

Building My Hedge Hog Concept

The Hedgehog Concept was originally based on an ancient Greek parable which stated, "The fox knows many things, but the hedgehog knows one big thing." Business researcher and consultant, Jim Collins, used this concept as a metaphor for business in his influential book, "Good to Great."


What is Radical Candor - The Surprising Secret to Being a Good Boss

Radical Cando is the ability to Challenge Directly and show you Care Personally at the same time. Radical Candor really just means saying what you think while also giving a minimum attention about the person you're saying it to.



Reference

Radical Candor

University of Guelph - Leadership Introduction

Being Biased

Are we ever aware of being bias without realizing the factor? Psychologists declare this phenomenon as “bias blind spot"

We often think we are making objective, rational decisions about other people, countries or communities. In academia, research have shown that this is not the case, we are a highly influenced generation by thoughts and feelings we are not even aware of. Especially in this modern social world. For simplicity,we manage the data mine or extract vast amount of information in our social worlds, we classify people based on certain visible and invisible features or attributes that help define some criteria, e.g. gender, accent, age, social background, weight, skin color, sexual orientation, religion and nationality. After classification of these people to these clusters or groups, but we highlight or scale neutral, good , bad or worse characteristics to them. The information might be acquired from news, social media or reference articles creating a biasing model in our conscious, moreover often based on what something somebody has told us (childhood) play a significant part in how we engage with, and make decisions about, people we don’t even know. 

A profound implications happens due to unconscious biases in our subconscious. Making key decisions about selecting the best candidate or optimal one, a promotion, or major and minor projects assignment, these subliminal thoughts add effects and feelings that have no basis in fact.

Scientific realization about factors effecting decisions or making us biased:

  • “availability heuristic,” which makes us think something that’s easy to recall (because it’s emotional or because we’ve experienced it many times) is more common or probable than it really is
  • “distinction bias,” which makes two options seem more different when considered simultaneously
  • “denomination effect,” which makes us more likely to spend money when it’s in small bills or coins
  • “Dunning-Kruger effect,” which makes experts underestimate their abilities and laypeople overestimate theirs

Data Sources

 There are many different types of data sources, and the best type of data source for you will depend on your specific needs and requirements.

Here are some of the most common types of data sources:

  • Internal data: Internal data is data that is generated by your organization, such as sales data, customer data, and operational data.
  • External data: External data is data that is collected from outside your organization, such as social media data, weather data, and market data.
  • Machine data: Machine data is data that is generated by machines, such as sensors, devices, and applications.
  • Text data: Text data is data that is in the form of text, such as news articles, social media posts, and customer reviews.
  • Image data: Image data is data that is in the form of images, such as photographs, medical images, and satellite images.
  • Video data: Video data is data that is in the form of videos, such as security footage, medical videos, and marketing videos.

When choosing a data source, you need to consider the following factors:

  • The type of data you need: What type of data do you need for your project?
  • The quality of the data: How accurate and reliable is the data?
  • The accessibility of the data: How easy is it to access the data?
  • The cost of the data: How much does it cost to access the data?
  • The legal and ethical considerations: Are there any legal or ethical considerations that you need to be aware of?

Once you have considered these factors, you can start to identify potential data sources. There are a number of resources available to help you find data sources, such as data catalogs and data marketplaces.

When evaluating data sources, it is important to be critical of the data. You need to assess the quality, accuracy, and reliability of the data. You also need to consider the legal and ethical considerations associated with the data.

Once you have found a data source that meets your needs, you can start to collect and analyze the data.

Here are some of the benefits of using data sources:

  • Data sources can help you to make better decisions: By analyzing data, you can identify trends and patterns that can help you to make better decisions.
  • Data sources can help you to improve your products and services: By understanding your customers and their needs, you can improve your products and services.
  • Data sources can help you to save money: By identifying inefficiencies and areas for improvement, you can save money.
  • Data sources can help you to comply with regulations: By understanding your data and how it is used, you can comply with regulations.
  • Data sources can help you to innovate: By using data to generate new ideas and insights, you can innovate.

If you are looking for data sources, I recommend that you do the following:

  • Identify your needs: What type of data do you need?
  • Do your research: There are a number of resources available to help you find data sources.
  • Evaluate the data sources: Be critical of the data and assess its quality, accuracy, and reliability.
  • Use the data responsibly: Be aware of the legal and ethical considerations associated with the data.