Not register? Register Now!
Essay Available:
You are here:
Pages:
2 pages/≈550 words
Sources:
1 Source
Level:
APA
Subject:
Literature & Language
Type:
Article Critique
Language:
English (U.S.)
Document:
MS Word
Date:
Total cost:
\$ 8.1
Topic:

# Data is as Intricate as it is Significant in the Modern World (Article Critique Sample)

Instructions:

This was an article critique. i was tasked with writing an article critique based on le (2017)'s article on the 10 statistical techniques data scientists need to master.
Le, J. (2017, October 31). The 10 Statistical Techniques Data Scientists Need to Master. Medium.com. https://medium.com/cracking-the-data-science-interview/the-10-statistical-techniques-data-scientists-need-to-master-1ef6dbd531f7

source..
Content:

Data is as Intricate as it is Significant in the Modern World

Data is as intricate as it is significant in the modern world. Exploiting this data effectively for optimal value requires data scientists to have a deep understanding of statistical theory. In the article “The 10 statistical techniques data scientists need to master”, Le (2017) describes the current fundamental statistical methods that data scientists require to grasp to enhance productivity. Although this article has a rather complicated inundation of statistics jargon, it is built around instructive statistical technique explanations, practical examples, and the merits and demerits of some statistical methods.
Le (2017) acknowledges that data is most valuable under application the appropriate contextualization, analysis and organization. As such, the author admits that data scientists competent in statistical learning are pivotal to impactful data manipulation for industrial, scientific and financial ends. Before diving into the ten statistical methods, the author enumerates the difference between machine learning and statistical learning to curtail any misunderstanding. Le (2017) first defines the three most basic statistical techniques which require fulfilment of ordinary least squares criterion to suitably deploy linear models: linear regression, classification, and resampling methods. Apart from the definitions, the author describes the specific implementations in each method. Next, the author outlines alternative least squares methods that guarantee better model interpretability and prediction accuracy for linear models: subset selection, shrinkage and dimension reduction techniques. Le (2017) then defines non-linear models which fit data through successive approximations. Following non-linear models is an outline of tree-based methods which solve both statistical classification and regression problems using decision-trees. Le (2017) then proceeds to elucidate support vector machines (SVM), part of supervised machine learning models, that help solve statistical classification problems. Lastly, the author describes unsupervised learning techniques which cluster uncategorized data.

...
Get the Whole Paper!
Not exactly what you need?
Do you need a custom essay? Order right now:

### Other Topics:

• Issues in the Global Supply Chain
Description: An article titled ‘The workers who keep global supply chains moving are warning of a "system collapse,” published recently by CNN cautions the chaotic global supply chain faces yet another threat as workers in the sector warn of an impending “system collapse” (Ziady, 2021). The COVID-19 pandemic disrupted...
1 page/≈275 words| 1 Source | APA | Literature & Language | Article Critique |
• Using Natural Gas as a Climate Solution will Become a Problem
Description: According to Hastings-Simon, Ravikumar, & Yang (2022), the argument that liquefied natural gas (LNG) offers a climate solution by allowing countries to replace coal as a source of power generation in other countries misleading. Arguably, LNG has the potential to reduce power emissions if there is sufficient...
4 pages/≈1100 words| 4 Sources | APA | Literature & Language | Article Critique |
• Quantitative and Qualitative Analysis
Description: Qualitative and quantitative analysis is essential and fundamental to a project becoming successful regardless of the size and scale, time, and budget. Quantitative and qualitative risk valuation are methods used by a ...
1 page/≈275 words| 2 Sources | APA | Literature & Language | Article Critique |
Need a Custom Essay Written?
First time 15% Discount!