Smarten

APRIL 12, 2023

Smarten Augmented Analytics tools include Assisted Predictive Modeling , Smart Data Visualization , Self-Serve Data Preparation , Sentiment Analysis , and Clickless Analytics with natural language processing (NLP) for search analytics.

Snapshot 52

Snapshot Key Performance Indicator KPI Business Intelligence 52

Domino Data Lab

OCTOBER 7, 2020

The Curse of Dimensionality , or Large P, Small N, ((P >> N)) , problem applies to the latter case of lots of variables measured on a relatively few number of samples. Statistical methods for analyzing this two-dimensional data exist. This statistical test is correct because the data are (presumably) bivariate normal.

Statistics 145

Statistics Testing Predictive Modeling Modeling 145

Smarten

MAY 29, 2023

World-renowned technology analysis firm Gartner defines the role this way, ‘A citizen data scientist is a person who creates or generates models that leverage predictive or prescriptive analytics, but whose primary job function is outside of the field of statistics and analytics. ‘If Automatic generation of models.

Prescriptive Analytics 52

Prescriptive Analytics Predictive Modeling Digital Transformation Business Objectives 52

Smarten

MARCH 13, 2024

Self-Serve Data Preparation Assisted Predictive Modeling Smart Data Visualization Machine Learning and Natural Language Processing (NLP) Clickless Search Analytics EXPECTATIONS AND RESULTS Once you have chosen the right augmented analytics solution, you must establish appropriate expectations.

Analytics 52

Analytics Predictive Modeling Strategy Enterprise 52

Smarten

JUNE 17, 2022

.” The Information Technology Amendment Act of 2009 designated CERT-IN as the national agency to perform functions for cyber security, including the collection, analysis and dissemination of information on cyber incidents, as well as taking emergency measures to handle incidents and coordinating cyber incident response activities.

Analytics 67

Analytics IT Business Intelligence Predictive Modeling 67

Smart Data Collective

MARCH 28, 2022

There are four main types of data analytics: Predictive data analytics: It is used to identify various trends, causation, and correlations. It can be further classified as statistical and predictive modeling, but the two are closely associated with each other. Improved decision-making will create more successful outcomes.

Data Analytics 84

Data Analytics Software Analytics Statistics 84

BizAcuity

APRIL 1, 2023

Widely used to discover trends, patterns, check assumptions and spot anomalies or outliers, EDA involves a variety of techniques including statistical analysis, and machine learning to gain a better understanding of data. Building a predictive model is a continuous process and commitment.

Machine Learning 52

Machine Learning Predictive Analytics Predictive Modeling Risk 52

BizAcuity

JANUARY 18, 2023

Widely used to discover trends, patterns, check assumptions and spot anomalies or outliers, EDA involves a variety of techniques including statistical analysis, and machine learning to gain a better understanding of data. Predictive Analytics. Predictive modeling for flagging suspicious activity. These include-.

Machine Learning 52

Machine Learning Predictive Analytics Predictive Modeling Risk 52

O'Reilly on Data

JUNE 18, 2019

There has been a significant increase in our ability to build complex AI models for predictions, classifications, and various analytics tasks, and there’s an abundance of (fairly easy-to-use) tools that allow data scientists and analysts to provision complex models within days.

Machine Learning 259

Machine Learning Data Quality Statistics Modeling 259

CIO Business Intelligence

JULY 24, 2023

We started by giving this data to the technical staff of the clubs, but we decided it was the moment to offer these advanced statistics to the fans and the media,” Bruno says. “We It has also developed predictive models to detect trends, make predictions, and simulate results.

Broadcasting 87

Broadcasting Recreation/Entertainment Testing Machine Learning 87

O'Reilly on Data

MAY 18, 2020

And last is the probabilistic nature of statistics and machine learning (ML). Most AI models decay overtime: This phenomenon, known more widely as model decay , refers to the declining quality of AI system results over time, as patterns in new data drift away from patterns learned in training data.

Risk 359

Risk Modeling Data Processing Software 359

datapine

NOVEMBER 27, 2019

While we work on programs to avoid such inconvenience , AI and machine learning are revolutionizing the way we interact with our analytics and data management while increment in security measures must be taken into account. However, businesses today want to go further and predictive analytics is another trend to be closely monitored.

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

BI-Survey

JANUARY 29, 2023

In the context of corporate planning, predictive planning and forecasting, it is therefore a major trend to use predictive models based on statistical methods and ML for forecasting and thorough analysis. Nearly every organization that adopts predictive planning is likely to profit from it.

Forecasting 52

Forecasting Predictive Modeling Measurement Finance 52

DataRobot Blog

JULY 28, 2022

Real data is almost always a mixture of signal and noise, and if you include that noise in the model, it will be difficult to capture the signal. For example, data measured by sensors can contain all kinds of noise due to sensor malfunctions, environmental changes, etc., which can lead to large prediction errors.

Data Science 72

Data Science Machine Learning Statistics Modeling 72

Smarten

JUNE 29, 2018

For example, one might consider two groups of participants that are measured at two different “time points” or two groups that are subjected to two different “conditions” Paired T Test is used to evaluate the before and after of a situation, treatment, condition, etc. is the same in two related groups.

Business Analysis 40

Business Analysis Testing Statistics Advertising 40

Jedox

MAY 17, 2022

Predictive analytics is a discipline that’s been around in some form since the dawn of measurement. We’ve always been trying to predict the future; go back in history to look at prognosticators like Nostradamus and many other prophets. What is Predictive Analytics?

Predictive Analytics 81

Predictive Analytics Finance Forecasting Analytics 81

Smarten

JUNE 29, 2018

Correlation is a statistical measure that indicates the extent to which two variables fluctuate together A positive correlation indicates the extent to which those variables increase or decrease in parallel. The Spearman’s Rank Correlation is a measure of correlation between two ranked (ordered) variables. About Smarten.

Business Analysis 40

Business Analysis IT Measurement Statistics 40

The Unofficial Google Data Science Blog

DECEMBER 4, 2019

Nor can we learn prediction intervals across a large set of parallel time series, since we are trying to generate intervals for a single global time series. With those stakes and the long forecast horizon, we do not rely on a single statistical model based on historical trends.

Forecasting 113

Forecasting Data Science Statistics Uncertainty 113

Smarten

JUNE 29, 2018

Correlation is a statistical measure that indicates the extent to which two variables fluctuate together. The Karl Pearson’s correlation measures the degree of linear relationship between two variables. A positive correlation indicates the extent to which those variables increase or decrease in parallel.

Enterprise 40

Enterprise IT Statistics Business Intelligence 40

Smarten

JUNE 29, 2018

Multiple Linear Regression is a statistical technique that is designed to explore the relationship between two or more variables (X, and Y). Business Problem: An ecommerce company wants to measure the impact of product price, product promotions, and holiday seasonality on product sales. What is Multiple Linear Regression Analysis?

Business Analysis 40

Business Analysis IT Sales Statistics 40

Smarten

JUNE 29, 2018

The independent sample t-test is a statistical method of hypothesis testing that determines whether there is a statistically significant difference between the means of two independent samples. One is a dimension containing two values and the other is a measure. Let’s look at a sample of the Independent t-test on two variables.

Testing 40

Testing Statistics IT Business Intelligence 40

Business Over Broadway

SEPTEMBER 27, 2018

In this paper, I show you how marketers can improve their customer retention efforts by 1) integrating disparate data silos and 2) employing machine learning predictive analytics. Your marketing strategy is only as good as your ability to deliver measurable results. Machine Learning and Predictive Modeling of Customer Churn.

Machine Learning 76

Machine Learning Data Integration Marketing Predictive Modeling 76

Smarten

JUNE 29, 2018

Simple Linear Regression is a statistical technique that attempts to explore the relationship between one independent variable (X) and one dependent variable (Y). Business Problem: An eCommerce company wants to measure the impact of product price on product sales. This article describes the Simple Linear Regression method of analysis.

Enterprise 40

Enterprise Sales Statistics Business Intelligence 40

O'Reilly on Data

DECEMBER 12, 2019

Residual analysis is another well-known family of model debugging techniques. Residuals are a numeric measurement of model errors, essentially the difference between the model’s prediction and the known true outcome. Interpretable ML models and explainable ML. Residual analysis.

Machine Learning 190

Machine Learning Modeling Testing Risk Management 190

Domino Data Lab

AUGUST 12, 2021

In a previous blog , we have covered how Pandas Profiling can supercharge the data exploration required to bring our data into a predictive modelling phase. Excellent, let us look at the descriptive statistics for our dataset. We even get a description of the correlation measure chosen. Pandas Profiler.

Machine Learning 126

Machine Learning Reporting Statistics Visualization 126

Alation

APRIL 25, 2023

Predictive models indicate that the machine learning market will grow at a compound annual growth rate (CAGR) of 38.8% Whether you deal in customer contact information, website traffic statistics, sales data, or some other type of valuable information, you’ll need to put a framework of policies in place to manage your data seamlessly.

Data Governance 52

Data Governance Marketing Machine Learning Sales 52

Birst BI

OCTOBER 30, 2018

The foundation of predictive analytics is based on probabilities. To generate accurate probabilities of future behavior, predictive analytics combine historical data from any number of applications with statistical algorithms. A well-designed credit scoring algorithm will properly predict both the low- and high-risk customers.

Predictive Analytics 73

Predictive Analytics Descriptive Analytics Analytics Metrics 73

Smarten

JUNE 29, 2018

Logistic regression measures the relationship between the categorical target variable and one or more independent variables. All of these tools are designed for business users with average skills and require no special skills or knowledge of statistical analysis or support from IT or data scientists.

IT 40

IT Business Intelligence Predictive Modeling Statistics 40

Smarten

JUNE 26, 2018

Logistic regression measures the relationship between the categorical target variable and one or more independent variables It deals with situations in which the outcome for a target variable can have two or more possible types. What is the Multinomial-Logistic Regression Classification Algorithm?

IT 40

IT Business Intelligence Predictive Modeling Statistics 40

Smarten

JULY 10, 2018

Use Case(s): Manufacturing unit manager analyzes statistical significance of cycle time difference, pre and post process change, determine whether sales increased following a particular campaign and more. Use Case(s): Measure the impact of product price on product sales, measure the impact of temperature on crop yield an more.

Analytics 40

Analytics Forecasting Statistics Sales 40

Smarten

DECEMBER 3, 2023

What is self-service analytics? We should probably explain before we move on.

Key Performance Indicator 52

Key Performance Indicator Analytics IT Predictive Analytics 52

Alation

APRIL 25, 2023

Predictive models indicate that the machine learning market will grow at a compound annual growth rate (CAGR) of 38.8% Whether you deal in customer contact information, website traffic statistics, sales data, or some other type of valuable information, you’ll need to put a framework of policies in place to manage your data seamlessly.

Data Governance 40

Data Governance Marketing Machine Learning Sales 40

The Unofficial Google Data Science Blog

JANUARY 31, 2017

By OMKAR MURALIDHARAN, NIALL CARDIN, TODD PHILLIPS, AMIR NAJMI Given recent advances and interest in machine learning, those of us with traditional statistical training have had occasion to ponder the similarities and differences between the fields. Are there counterfactual predictions we should avoid in decision making?

Machine Learning 73

Machine Learning Modeling Statistics Predictive Modeling 73

Insight

FEBRUARY 19, 2020

The genre uniqueness is a measure of how unique a movie’s combination of genre categories is relative to all movies in my data set. I trained 500 models on these 500 random subsamples and built a distribution of ROI values from which I can extract summary statistics such as the median and 95% confidence interval.

Risk 67

Risk ROI Modeling Metrics 67

Domino Data Lab

OCTOBER 23, 2019

As a result, there has been a recent explosion in individual statistics that try to measure a player’s impact. The describe function on a Pandas DataFrame provides descriptive statistics, including the number of columns, in this case 27, and median (this is the 50 percent row), for each column. The R-squared value of.282

Statistics 59

Statistics Machine Learning Testing Modeling 59

Domino Data Lab

AUGUST 20, 2019

While it has limitations, BMI is quickly calculated from body weight and height and serves as a surrogate for a characteristic that is very hard to accurately measure: proportion of lean body mass. Drop a column from a table—either based on a principled argument (we know the two columns are measuring the same thing) or based on a randomness.

Testing 68

Testing Modeling Interactive Measurement 68

O'Reilly on Data

MARCH 20, 2019

The objective here is to brainstorm on potential security vulnerabilities and defenses in the context of popular, traditional predictive modeling systems, such as linear and tree-based models trained on static data sets. If an attacker can receive many predictions from your model API or other endpoint (website, app, etc.),

Modeling 221

Modeling Machine Learning Predictive Modeling Consulting 221