IBM Big Data Hub

SEPTEMBER 19, 2023

Though you may encounter the terms “data science” and “data analytics” being used interchangeably in conversations or online, they refer to two distinctly different concepts. Prescriptive analytics: Prescriptive analytics predicts likely outcomes and makes decision recommendations.

Data Science 78

Data Science Data Analytics Prescriptive Analytics Analytics 78

Smart Data Collective

SEPTEMBER 21, 2022

They refer to personal qualities that are transferable to any type of role. Problem solving refers to the ability to find solutions to any issues in quite a timely manner. In fact, one expert points out that 85% of the success in the technology sector can be attributed to soft skills like good communication. Problem Solving.

Statistics 84

Statistics Software Data mining Marketing 84

BizAcuity

MARCH 31, 2022

you already have a data strategy in place, then it is easier to identify and analyze where AI would be the most useful for your business.Analytics Insight has an informative blog on the wide range of use-cases of AI in prominent industries. A lot of testing AI methods can be utilized for better and more accurate outcomes from mining the data.

Data Analytics 52

Data Analytics Analytics Prescriptive Analytics Predictive Analytics 52

IBM Big Data Hub

JULY 6, 2023

The fields have evolved such that to work as a data analyst who views, manages and accesses data, you need to know Structured Query Language (SQL) as well as math, statistics, data visualization (to present the results to stakeholders) and data mining.

Machine Learning 55

Machine Learning Data Science Statistics Deep Learning 55

The Unofficial Google Data Science Blog

OCTOBER 7, 2015

A/B testing is used widely in information technology companies to guide product development and improvements. For questions as disparate as website design and UI, prediction algorithms, or user flows within apps, live traffic tests help developers understand what works well for users and the business, and what doesn’t.

Modeling 61

Modeling Experimentation Knowledge Discovery Testing 61

The Unofficial Google Data Science Blog

JULY 22, 2020

This post considers a common design for an OCE where a user may be randomly assigned an arm on their first visit during the experiment, with assignment weights referring to the proportion that are randomly assigned to each arm. There are two common reasons assignment weights may change during an OCE.

Experimentation 95

Experimentation Statistics Testing Strategy 95

Domino Data Lab

MAY 20, 2021

Their tests are performed using C4.5-generated 1988), E-state data (Hall et al., note that this variant “performs worse than plain under-sampling based on AUC” when tested on the Adult dataset (Dua & Graff, 2017). References. Data mining for direct marketing: Problems and solutions. Chawla et al.,

Machine Learning 136

Machine Learning Metrics Data mining Knowledge Discovery 136

Domino Data Lab

AUGUST 1, 2021

After forming the X and y variables, we split the data into training and test sets. Looking at the target vector in the training subset, we notice that our training data is highly imbalanced. All we need to do is instantiate LimeTabularExplainer and give it access to the training data and the independent feature names.

Modeling 139

Modeling Deep Learning Machine Learning Knowledge Discovery 139

datapine

JANUARY 24, 2021

Methods like artificial neural networks (ANN) and autoregressive integrated moving average (ARIMA), time series, seasonal naïve approach, and data mining find wide application in data analytics nowadays. Your choice of method should depend on the type of data you’ve collected, your team’s skills, and your resources.

IT 317

IT Statistics KPI Data-driven 317

The Unofficial Google Data Science Blog

APRIL 23, 2024

Modeling live experiment data Data scientists at YouTube are rarely involved in the analysis of typical live traffic experiments. Multiparameter experiments, however, generate richer data than standard A/B tests, and automated t-tests alone are insufficient to analyze them well. References [1] Andrew Gelman.

Experimentation 52

Experimentation Optimization Uncertainty Metrics 52

datapine

NOVEMBER 27, 2019

Another increasing factor in the future of business intelligence is testing AI in a duel. Predictive analytics is the practice of extracting information from existing data sets in order to forecast future probabilities. It’s an extension of data mining which refers only to past data.

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

datapine

JULY 24, 2019

Using highly visual data representations and tools, business intelligence dashboards produce graphs, charts, and other powerful visualizations instruments that empower the user to interpret the data before them, transforming it into actionable insights that will benefit the business in many ways. Our Top 10 BI Dashboard Best Practices.

Dashboards 148

Dashboards Business Intelligence Visualization KPI 148

The Unofficial Google Data Science Blog

JANUARY 14, 2016

For this purpose, let’s assume we use a t-test for difference between group means. The statistical effect size is often defined as [ e=frac{delta}{sigma} ]which is the difference in group means as a fraction of the (pooled) standard deviation (sometimes referred to as “Cohen’s d” ). known, equal variances). An effect size of 0.2

Experimentation 41

Experimentation Statistics Metrics Measurement 41

The Unofficial Google Data Science Blog

NOVEMBER 4, 2015

For more on ad CTR estimation, refer to [2]. One way to check $f_theta$ is to gather test data and check whether the model fits the relationship between training and test data. Figure 4 shows the results of such a test. A machine learning system produces an estimated CTR $t_i$ for each query-ad pair.

KDD 40

KDD Testing Machine Learning Modeling 40

Jet Global

MAY 1, 2023

that gathers data from many sources. Users Want to Help Themselves Data mining is no longer confined to the research department. Today, every professional has the power to be a “data expert.” References Ask to speak to existing customers in similar verticals. Ask your vendors for references.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52