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

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 226

Modeling Machine Learning Predictive Modeling Consulting 226

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

DataRobot Blog

MAY 25, 2022

From 2018 to 2020, the U.S. Using either the code-centric DataRobot Core or no-code Graphical User Interface (GUI), both data scientists and non-data scientists such as risk analysts, government experts, or first responders can build, compare, explain, and deploy their own models. The scale and costs of weather disasters in the U.S.

Risk 52

Risk Predictive Modeling Insurance Predictive Analytics 52

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 99

Big Data Cost-Benefit IoT Machine Learning 99

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

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) is unchanged from Strata NY 2018, it’s up three places from Strata NY 2017—and eight places relative to 2016. 221) to 2019 (No.

IoT 20

IoT Big Data Data Warehouse Uncertainty 20

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. 5 is labeled as low.

Machine Learning 77

Machine Learning Predictive Modeling Modeling Metrics 77

Domino Data Lab

SEPTEMBER 18, 2019

In looking at the rental data, it may pay to double-check before buying a home in 2018, especially in the Palo Alto area. It may be that your organization can build an AI application by using their prediction models as a base, and then layering other AI and ML techniques on top.

Visualization 99

Visualization Interactive Machine Learning Data Science 99

The Unofficial Google Data Science Blog

DECEMBER 4, 2019

For example, proposed forecasts may come from customers, if their forecasts are based on forward-looking information about product and technology plans that would be difficult for the data scientist to extract as inputs into a predictive model. 2018) Forecasting: principles and practice, 2nd edition, OTexts: Melbourne, Australia.

Forecasting 113

Forecasting Data Science Statistics Uncertainty 113

Domino Data Lab

OCTOBER 23, 2019

A further diagnostic step is to plot the predicted values of the linear regression versus the actual values. an lmplot of the predicted and actual is shown, and it is obvious that this isn’t that great a prediction model. In Figure 6.8, There is also a complementary Domino project.]

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

Domino Data Lab

AUGUST 22, 2019

GloVe and word2vec differ in their underlying methodology: word2vec uses predictive models, while GloVe is count based. First came ULMFiT (universal language model fine-tuning), wherein tools were described and open-sourced that enabled others to use a lot of what the model learns during pretraining. Note: Howard, J.,

Deep Learning 111

Deep Learning Modeling Metrics Testing 111

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. Since it has been evaluated at USD 6.18

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