O'Reilly on Data

JANUARY 17, 2023

Building Models. A common task for a data scientist is to build a predictive model. You’ll try this with a few other algorithms, and their respective tuning parameters–maybe even break out TensorFlow to build a custom neural net along the way–and the winning model will be the one that heads to production.

Machine Learning 356

Machine Learning Predictive Modeling Software Modeling 356

KDnuggets

JANUARY 3, 2022

Also: 6 Predictive Models Every Beginner Data Scientist Should Master; The Best ETL Tools in 2021; Write Clean Python Code Using Pipes; Three R Libraries Every Data Scientist Should Know (Even if You Use Python).

Predictive Modeling 129

Predictive Modeling Visualization Modeling 129

DataKitchen

SEPTEMBER 21, 2023

Data in Use pertains explicitly to how data is actively employed in business intelligence tools, predictive models, visualization platforms, and even during export or reverse ETL processes. The fourth pillar focuses on testing the results of data models, visualizations, and other applications to validate data in use.

Testing 182

Testing Data Quality Predictive Modeling Metrics 182

datapine

AUGUST 14, 2019

To fully leverage the power of data science, scientists often need to obtain skills in databases, statistical programming tools, and data visualizations. provides the user with visualizations, code editor, and debugging. connecting data sources and predicting future outcomes. Let’s get started.

Data Science 214

Data Science Statistics Business Intelligence Visualization 214

Smart Data Collective

SEPTEMBER 16, 2020

Predictive analytics, sometimes referred to as big data analytics, relies on aspects of data mining as well as algorithms to develop predictive models. These predictive models can be used by enterprise marketers to more effectively develop predictions of future user behaviors based on the sourced historical data.

Predictive Analytics 139

Predictive Analytics Analytics Predictive Modeling Data mining 139

CIO Business Intelligence

JULY 5, 2022

Research firm Gartner defines business analytics as “solutions used to build analysis models and simulations to create scenarios, understand realities, and predict future states.”. Business analytics also involves data mining, statistical analysis, predictive modeling, and the like, but is focused on driving better business decisions.

Business Analytics 136

Business Analytics Prescriptive Analytics Data mining Diagnostic Analytics 136

Smarten

NOVEMBER 26, 2024

This helps you select the predictors that have the greatest impact, making it easier to create an effective predictive model. The graph visually represents both non-missing (non-null) values and missing (null) values, allowing you to quickly identify which columns have incomplete data.

Data Quality 64

Data Quality Machine Learning Predictive Modeling Metadata 64

CIO Business Intelligence

JUNE 14, 2023

Candidates are required to complete a minimum of 12 credits, including four required courses: Algorithms for Data Science, Probability and Statistics for Data Science, Machine Learning for Data Science, and Exploratory Data Analysis and Visualization. The online program includes an additional nonrefundable technology fee of US$395 per course.

Big Data 126

Big Data Data Analytics Analytics Predictive Modeling 126

FineReport

JUNE 7, 2024

In 2024, data visualization companies play a pivotal role in transforming complex data into captivating narratives. This blog provides an insightful exploration of the leading entities shaping the data visualization landscape. Let’s embark on a journey to uncover the top 10 Data Visualization Companies of 2024.

Visualization 52

Visualization Predictive Analytics Dashboards Predictive Modeling 52

Juice Analytics

JULY 6, 2018

Gathering a collection of visualizations and calling it a data story is easy (and inaccurate). Making it meaningful is so much harder. Making data-driven narrative that influences people.hard. Schedule a demo.

Slice and Dice 90

Slice and Dice Predictive Modeling Visualization Data-driven 90

CIO Business Intelligence

JANUARY 19, 2024

Cost: $180 per exam Location: Online Duration: Self-paced Expiration: Credentials do not expire SAS Certified Advanced Analytics Professional The SAS Certified Advanced Analytics Professional credential validates your ability to analyze big data with a variety of statistical analysis and predictive modeling techniques.

Data Science 126

Data Science Machine Learning Predictive Modeling Forecasting 126

datapine

MARCH 25, 2022

While some experts try to underline that BA focuses, also, on predictive modeling and advanced statistics to evaluate what will happen in the future, BI is more focused on the present moment of data, making the decision based on current insights. appeared first on BI Blog | Data Visualization & Analytics Blog | datapine.

Business Intelligence 264

Business Intelligence Analytics Statistics Dashboards 264

BizAcuity

NOVEMBER 13, 2024

Advanced analytics and predictive modeling are core offerings of BI consulting services, enabling organizations to move from descriptive reporting to proactive decision-making. Data Visualization and Dashboard Creation Complex datasets require intuitive visualization tools to make insights accessible.

Consulting 52

Consulting Data-driven Cost-Benefit Business Intelligence 52

FineReport

APRIL 24, 2024

What is Data Visualization Understanding the Concept Data visualization, in simple terms, refers to the presentation of data in a visual format. By utilizing visual elements, data visualization allows individuals to grasp difficult concepts or identify new patterns within the data.

Visualization 52

Visualization Dashboards Interactive Key Performance Indicator 52

Smart Data Collective

SEPTEMBER 26, 2021

As data sets become bigger, it becomes harder to visualize information. Data visualization enables you to: Make sense of the distributional characteristics of variables Easily identify data entry issues Choose suitable variables for data analysis Assess the outcome of predictive models Communicate the results to those interested.

Metadata 130

Metadata Visualization Unstructured Data Data mining 130

CIO Business Intelligence

JUNE 7, 2022

Generally, the output of data analytics are reports and visualizations. Data analytics describes the current or historical state of reality, whereas data science uses that data to predict and/or understand the future. Data analytics and data science are closely related. Data analytics vs. business analytics.

Data Analytics 135

Data Analytics Diagnostic Analytics Management Analytics 135

CIO Business Intelligence

APRIL 22, 2022

Tableau: Now owned by Salesforce, Tableau is a data visualization tool. RapidMiner: This data science platform is geared to support teams, with support for data prep, machine learning, and predictive model deployment. js: This JavaScript library is used to make interactive visualizations in web browsers.

Data Science 140

Data Science Statistics Machine Learning Visualization 140

O'Reilly on Data

DECEMBER 12, 2019

If you’re using Python and deep learning libraries, the CleverHans and Foolbox packages can also help you debug models and find adversarial examples. Small residuals usually mean a model is right, and large residuals usually mean a model is wrong. Interpretable ML models and explainable ML.

Machine Learning 242

Machine Learning Modeling Testing Risk Management 242

CIO Business Intelligence

OCTOBER 2, 2024

Meanwhile, predictive modeling anticipates resource needs and potential infrastructure failures, and anomaly detection allows for prompt identification and mitigation of environmental hazards and security threats. These can even be visualized in 3D, providing a clear and intuitive understanding of the physical environment.

IoT 123

IoT Internet of Things Predictive Modeling Data-driven 123

Smart Data Collective

SEPTEMBER 17, 2020

Nowadays, terms like ‘Data Analytics,’ ‘Data Visualization,’ and ‘Big Data’ have become quite popular. Big Data can efficiently enhance the ways firms utilize predictive models in the risk management discipline. In this modern age, each business entity is driven by data.

Big Data 145

Big Data Finance Risk Management Risk 145

Smarten

SEPTEMBER 30, 2024

We are here to help and to support your business goals and success!

Predictive Modeling 69

Predictive Modeling Dashboards Sales Visualization 69

Smarten

MARCH 18, 2019

That world exists today with the evolution of sophisticated, yet easy-to-use tools that include predictive analytics for business users, visual analytics software and tools, and self-serve data preparation.

Predictive Analytics 40

Predictive Analytics Visualization Software Analytics 40

Juice Analytics

MARCH 11, 2021

3) That’s where our data visualization and user experience capabilities helped them turn this data into a web-based analytical tool that focused users on the metrics and peer groups they cared about. There are many paths to consider: Visual representations that reveal patterns in the data and make it more human readable. Just kidding!

Predictive Modeling 128

Predictive Modeling Visualization Reporting Interactive 128

Domino Data Lab

JANUARY 21, 2021

Predictive modeling efforts rely on dataset profiles , whether consisting of summary statistics or descriptive charts. Results become the basis for understanding the solution space (or, ‘the realm of the possible’) for a given modeling task. Data visualization blog posts are a dime a dozen. imputation of missing values).

Statistics 106

Statistics Unstructured Data Data Science Visualization 106

CIO Business Intelligence

APRIL 25, 2022

The data science path you ultimately choose will depend on your skillset and interests, but each career path will require some level of programming, data visualization, statistics, and machine learning knowledge and skills. The 12-week data management course covers Python, data quality, data visualization, GDRP, and database management.

Data Science 145

Data Science Machine Learning Deep Learning Statistics 145

CIO Business Intelligence

MAY 17, 2022

Built in to Tableau Cloud, Einstein Discovery provides predictions and recommendations for users, without having to employ data scientists to write bespoke predictive models. “By Tableau Cloud is available to customers today, with Data Stories and Model Builder set to be made available later in the year.

IT 98

IT Predictive Modeling Machine Learning Dashboards 98

Smarten

NOVEMBER 23, 2023

The Smarten Augmented Analytics suite includes Smart Data Visualization , AI and Assisted Predictive Modeling , Self-Serve Data Preparation , Natural Language Processing (NLP) and Search Analytics , SnapShot Monitoring and Alerts , and many other sophisticated features.

Publishing 64

Publishing Marketing Analytics Predictive Modeling 64

Smarten

MARCH 12, 2020

A solution that provides a balance between data agility and access and data governance and security can provide solid, dependable information and the ability for users to leverage Self-Serve Data Preparation , Assisted Predictive Modeling and Smart Data Visualization while protecting the organization from risk and mitigating security issues.

Data Governance 69

Data Governance Predictive Modeling Data-driven Visualization 69

Sisense

MARCH 27, 2019

Real time business intelligence is the use of analytics and other data processing tools to give companies access to the most recent, relevant data and visualizations. To provide real-time data, these platforms use smart data storage solutions such as Redshift data warehouses , visualizations, and ad hoc analytics tools.

Business Intelligence 74

Business Intelligence Data Warehouse Predictive Modeling Visualization 74

FineReport

MAY 13, 2020

Although compared to the paid version, not all free BI tool provides stunning data visualization; they offer easy-to-understand charts that can meet your basic needs. It provides data scientists and BI executives with data mining, machine learning, and data visualization capabilities to build effective data pipelines. . From Google.

OLAP 105

OLAP KPI Data mining Business Intelligence 105

Smarten

SEPTEMBER 11, 2017

Read a report, attend a conference and your head is swirling with terms like ‘assisted predictive modeling’, plug n’ play predictive analysis, smart visualization, augmented data discovery and augmented data preparation. Assisted Predictive Modeling. What could be better than that?

Predictive Modeling 61

Predictive Modeling Analytics Predictive Analytics Forecasting 61

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. Interactive Data Visualization in Python. There are a couple of commonly used interactive data visualization libraries in Python: Plotly and Bokeh. Introduction.

Visualization 99

Visualization Interactive Machine Learning Data Science 99

DataKitchen

JUNE 19, 2023

This action involves testing the results of data models for accuracy and relevance, evaluating the effectiveness of data visualizations, ensuring that data delivery mechanisms are operating optimally, and checking the data utilization to ensure it meets its intended purpose. The value here is improved end-user experienc e.

Testing 100

Testing Data Quality Metrics Cost-Benefit 100

Smarten

MARCH 7, 2024

Search Analytics is evolving at a rapid pace, and the concept of auto insights builds on the foundation of assisted predictive modeling and Clickless Analytics features, taking natural language processing (NLP) search analytics and predictive modeling to the next level.

Analytics 69

Analytics Machine Learning Predictive Modeling Visualization 69

Smart Data Collective

AUGUST 7, 2019

With the right log management tool, IT admins can easily access ready-made dashboards and generate reports which visualize essential events that lead to pre-emptive actions and sound decisions. Creating predictive models. Customer data platform. Analysis of profitability and customer value. Personalizing marketing campaigns.

Data Analytics 111

Data Analytics Analytics Big Data Advertising 111

FineReport

MAY 29, 2020

Business Intelligence is commonly divided into four different types: reporting, analysis, monitoring, and prediction. Static reports cannot be changed by the end-users, while interactive reports allow you to navigate the report through various hierarchies and visualization elements. BI reporting is often called reporting.

Reporting 94

Reporting OLAP Visualization Business Intelligence 94

Smarten

MAY 31, 2022

The technology research firm, Gartner has predicted that, ‘predictive and prescriptive analytics will attract 40% of net new enterprise investment in the overall business intelligence and analytics market.’ Access to Flexible, Intuitive Predictive Modeling. Analyze the Model with Visualization and Interpretation.

Predictive Analytics 69

Predictive Analytics Analytics Predictive Modeling Prescriptive Analytics 69