BizAcuity

APRIL 25, 2022

In 2018, the US Supreme Court’s decision to legalize sports betting was historic. There is a need for a predictive analytics tool that can individually target each customer at right time to drive additional revenue. A predictive model that’s gaining traction in the casino business is Recency-Frequency-Monetary (RFM) model.

Marketing 52

Marketing Strategy ROI Digital Transformation 52

Birst BI

MAY 29, 2018

He published a paper proposing the development of a “relational database model” to address this issue. Unfortunately, it’s now 2018 and the same problems still exists. Figure 6: Amazon Machine Learning to build and deploy Predictive Models.

Slice and Dice 74

Slice and Dice Analytics Business Intelligence Machine Learning 74

Data Science and Beyond

JULY 22, 2018

This article is a short summary of my understanding of the definition of data science in 2018. Kaggle was only about predictive modelling competitions back then, and so I believed that data science is about using machine learning to build models and deploy them as part of various applications. But what does it mean?

Data Science 79

Data Science Machine Learning Statistics Predictive Modeling 79

DataRobot Blog

MAY 25, 2022

From 2018 to 2020, the U.S. DataRobot enables the user to easily combine multiple datasets into a single training dataset for AI modeling. DataRobot combines these datasets and data types into one training dataset used to build models for predicting whether a building will be damaged in the hurricane. The Datasets.

Risk 52

Risk Predictive Modeling Insurance Predictive Analytics 52

Domino Data Lab

AUGUST 22, 2019

The excerpt covers how to create word vectors and utilize them as an input into a deep learning model. While the field of computational linguistics, or Natural Language Processing (NLP), has been around for decades, the increased interest in and use of deep learning models has also propelled applications of NLP forward within industry.

Deep Learning 111

Deep Learning Modeling Metrics Testing 111

Smart Data Collective

MAY 17, 2021

billion in 2018. Predictive models, estimates and identified trends can all be sent to the project management team to speed up their decisions. A fleet must be outfitted with these technologies to benefit, whether natively or after the fact using add-on solutions. Organizations have already realized this.

Big Data 101

Big Data Cost-Benefit IoT Machine Learning 101

BizAcuity

MARCH 8, 2019

Through workforce analytics, companies can get a comprehensive view of their employees designed to interpret historical trends and in creating predictive models that lead to insights and better decisions in the future. Workforce analytics in Event Industry – Its Relevancy in today’s HR environment. Image Source: [link].

Analytics 73

Analytics Prescriptive Analytics Cost-Benefit Metrics 73

Insight

MARCH 18, 2019

Bias in Machine Learning Algorithms (Bottom Photos Source: ProPublica ; Top Photos Source: Pexels.com) Biases in predictive modeling are a widespread issue Machine learning and AI applications are used across industries, from recommendation engines to self-driving cars and more.

Machine Learning 77

Machine Learning Predictive Modeling Modeling Metrics 77

O'Reilly on Data

SEPTEMBER 11, 2019

So, we used a form of the Term Frequency-Inverse Document Frequency (TF/IDF) technique to identify and rank the top terms in this year’s Strata NY proposal topics—as well as those for 2018, 2017, and 2016. 2 in frequency in proposal topics; a related term, “models,” is No. An ML-related topic, “models,” was No. 221) to 2019 (No.

IoT 20

IoT Big Data Data Warehouse Uncertainty 20

The Unofficial Google Data Science Blog

DECEMBER 4, 2019

Others argue that there will still be a unique role for the data scientist to deal with ambiguous objectives, messy data, and knowing the limits of any given model. 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.

Forecasting 113

Forecasting Data Science Statistics Uncertainty 113

Domino Data Lab

SEPTEMBER 18, 2019

Models are at the heart of data science. Data exploration is vital to model development and is particularly important at the start of any data science project. In looking at the rental data, it may pay to double-check before buying a home in 2018, especially in the Palo Alto area. Introduction.

Visualization 99

Visualization Interactive Machine Learning Data Science 99

Domino Data Lab

OCTOBER 23, 2019

This chapter will explore the numbers behind the numbers using ML and then creating an API to serve out the ML model. This means covering details like setting up your environment, deployment, and monitoring, in addition to creating models on clean data. The lower the RMSE, the better the prediction. Phrasing the Problem.

Statistics 59

Statistics Machine Learning Testing Modeling 59

Smarten

JANUARY 24, 2019

Business users can leverage machine learning and assisted predictive modeling to achieve the best fit and ensure that they use the most appropriate algorithm for the data they wish to analyze.

Machine Learning 40

Machine Learning Predictive Modeling Predictive Analytics Forecasting 40

Smarten

MAY 24, 2018

ElegantJ BI, an innovative vendor in Business Intelligence, Augmented Analytics and Augmented Data Preparation, is pleased to announce its participation in the Gartner 2018 INDIA Data & Analytics Summit from 5 – 6th June 2018 in Mumbai, India. ElegantJ BI is proud to be a Silver Sponsor at this important event.

Analytics 40

Analytics Data Analytics Data mining Predictive Modeling 40

Smarten

MARCH 19, 2019

The Gartner report entitled, ‘Augmented Analytics Is the Future of Data and Analytics, published on October 31, 2018, includes the following strategic assumptions: By 2020, augmented analytics will be a dominant driver of new purchases of analytics and BI as well as data science and machine learning platforms, and of embedded analytics.

ROI 40

ROI Analytics Cost-Benefit Predictive Modeling 40

Smarten

FEBRUARY 28, 2019

Augmented Analytics includes Assisted Predictive Modeling, Smart Data Visualization, Self-Serve Data Preparation, Clickless Analytics, NLP Search Analytics, Automated Machine Learning (AutoML), which enables faster, or accurate analysis across the organization, optimizes resources and improves the value of each team member.

Data Science 40

Data Science IT Machine Learning Predictive Modeling 40

datapine

NOVEMBER 27, 2019

Hotels try to predict the number of guests they can expect on any given night in order to adjust prices to maximize occupancy and increase revenue. The predictive models, in practice, use mathematical models to predict future happenings, in other words, forecast engines.

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

Depict Data Studio

SEPTEMBER 17, 2019

His experience includes evaluation and outcomes studies, ROI analysis, IBNR determination, predictive modeling, risk adjustment methodologies, advanced data visualization, dashboard design and implementation, database development and management, and identifying and evaluating trends and forces in data. Elissa Schloesser.

Visualization 40

Visualization Consulting Dashboards Reporting 40