Contify

SEPTEMBER 21, 2017

As a programmer with data science background, my attention is invariably caught by the real-world situations where machine learning algorithms have made a difference, for example: email spam filtering, news categorization, review based recommendations, social media sentiments etc. just rephrased. It’s a constant learning process.

Learning 40

Learning Matrix Algorithm Market Intelligence 40

Contify

SEPTEMBER 21, 2017

As a programmer with data science background, my attention is invariably caught by the real-world situations where machine learning algorithms have made a difference, for example: email spam filtering, news categorization, review based recommendations, social media sentiments etc. just rephrased. It’s a constant learning process.

Learning 40

Learning Matrix Algorithm Market Intelligence 40

Elegant BI

MARCH 18, 2021

Outliers, also referred to as anomaly, exception, irregularity, deviation, oddity, arise in data analysis when the data records differ dramatically from the other observations. Dealing with Outliers: A secret ingredient for success of data analysis. Any kind of analysis initiates by looking upon the data. Outlier, an Outsider!

Algorithm 52

Algorithm Data Analysis Analysis Matrix 52

Datapine Blog

NOVEMBER 27, 2019

Today, most companies understand the impact of data quality on analysis and further decision-making processes and hence choose to implement a data quality management (DQM) policy, department, or techniques. DQM is indeed reckoned as the key factor in ensuring efficient data analysis, as it is the basis from where all the rest starts from.

Business Intelligence 144

Business Intelligence Intelligence Intelligence Business 144