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Author Archive

An Introduction To Outlier Detection Techniques

“We should seek the greatest value of our action.”- Stephen Hawking Outlier detection from a collection of patterns is an active area for research in data set mining. There are several modelling techniques which are resistant to outliers or may bring down the impact of them. Outlier detection and understanding them can lead to interesting […]

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A Definitive Approach To The Levels Of Measurement

Stanley Smith Stevens wrote about the four levels and scales of measurement: nominal, ordinal, interval, and ratio, in a 1946 article in Science, titled “On the Theory of Scales of Measurement…” Each level of measurement and its corresponding scale is capable of measuring one or more of the four properties of measurement, which include identity, […]

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Tableau Vs. Power BI: A Comparative Study

Both Tableau and Power BI are fast gaining importance as tools for gathering data insights. While drawing an analogy between the two, Tableau vs Power BI, we find that each has its own set of merits and demerits. Power BI vs Tableau: The Need For Business Intelligence Tools Hugo Moreno stated in a recent Forbes […]

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Deep Learning Tutorial: For Beginners And Advanced Learners

Deep Learning Tutorial Python is ideal for professionals aspiring to learn the basics of Python and develop applications involving Deep Learning techniques such as convolutional neural nets, recurrent nets, backpropagation. According to the latest market research report Deep Learning Market by Offering (Hardware, Software, and Services), Application (Image Recognition, Signal Recognition, Data Mining), End-User Industry […]

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Tableau Resume: Some Quick Tips

Tableau, one of the top business intelligence (which is a sub-field of data science), tools is very much in demand.  It helps analysts visualize the data in unprecedented ways and uncover unexpected insights. A Tableau resume is one of the hottest resumes in an IT recruiter folder today. Tableau is recognized as a leader in […]

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Data Blending in Tableau: Definition and Key Concepts

Data Blending in Tableau has gained immense popularity in the last few years. Being the undisputed leader in the BI space, Tableau has grown its customer base from 11,000 in 2012 to over 70,000 in 2017, a compounded annual rate of almost 45% over the last five years. A couple of years ago, Tableau had […]

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What is Visual Analytics: Key Concepts

Visual Analytics is one of the hottest trends that will rock 2019. Business owners who were so far baffled over the complexities of endless spreadsheet files filled with data appreciate what Visual Analytics brings to the table. Now, data can be ingested, analyzed, and translated into a visual representation to make data interpretation easier and […]

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Getting Started with Research Papers on Machine Learning: What to Read & How

A quick glance into any of the top-rated research papers on Machine Learning shows us how Machine Learning and digital technologies are becoming an integral part of every industry. According to recent research by Gartner, “Smart machines will enter mainstream adoption by 2021.” Adopting Machine Learning help your organization gain a major competitive edge. Why […]

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Data Science Career: Data Analyst vs Data Scientist

Data Analyst vs. Data Scientist, which one is better, is one of hottest topics of discussion among tech bloggers today. Both are growing in importance and offer remarkable opportunities for the millennials. “Consumer data will be the biggest differentiator in the next two to three years. Whoever unlocks the reams of data and uses it […]

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What is a Tensor? Introduction, Uses, and Functionalities

In 2015 Artificial-Intelligence (AI) researchers at Google came up with TensorFlow, now used in building Machine Learning (ML) software. To answer the question “what is a tensor?”, you need to know a bit about TensorFlow. TensorFlow helps Google engineers to translate new approaches to artificial intelligence into a practical code, improving services such as search […]

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