Deep Learning, Interactive and Predictive Modeling

Deep Learning

Interactive

Predictive Modeling

Beyond the hype: Do you really need an LLM for your data?

CIO Business Intelligence

FEBRUARY 6, 2025

This article reflects some of what Ive learned. The hype around large language models (LLMs) is undeniable. They promise to revolutionize how we interact with data, generating human-quality text, understanding natural language and transforming data in ways we never thought possible. Theyre impressive, no doubt. And guess what?

Unstructured Data

Unstructured Data Manufacturing Data Governance Sales

Deep Learning Illustrated: Building Natural Language Processing Models

Domino Data Lab

AUGUST 22, 2019

Many thanks to Addison-Wesley Professional for providing the permissions to excerpt “Natural Language Processing” from the book, Deep Learning Illustrated by Krohn , Beyleveld , and Bassens. The excerpt covers how to create word vectors and utilize them as an input into a deep learning model.

Deep Learning

Deep Learning Modeling Metrics Testing

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Webinars

Data Talks, CFOs Listen: Why Analytics Are Key To Better Spend Management

Mastering Apache Airflow® 3.0: What’s New (and What’s Next) for Data Orchestration

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Trending Sources

The unreasonable importance of data preparation

O'Reilly on Data

MARCH 24, 2020

In a world with an increasing number of models and algorithms in production, learning from large amounts of real-time streaming data, we need both education and tooling/products for domain experts to build, interact with, and audit the relevant data pipelines.

Machine Learning

Machine Learning Statistics Data Quality Data Collection

Webinars

Data Talks, CFOs Listen: Why Analytics Are Key To Better Spend Management

Mastering Apache Airflow® 3.0: What’s New (and What’s Next) for Data Orchestration

MORE WEBINARS

The quest for high-quality data

O'Reilly on Data

JUNE 18, 2019

For example, a complex sophisticated model for finding duplicates or matching schema is the least of our worries if we cannot even enumerate all possible pairs that need to be checked. An important paradigm for solving both these problems is the concept of data programming.

Machine Learning

Machine Learning Data Quality Statistics Modeling

11 most in-demand gen AI jobs companies are hiring for

CIO Business Intelligence

OCTOBER 13, 2023

Responsibilities include building predictive modeling solutions that address both client and business needs, implementing analytical models alongside other relevant teams, and helping the organization make the transition from traditional software to AI infused software.

Deep Learning

Deep Learning Machine Learning Modeling Software

15 best data science bootcamps for boosting your career

CIO Business Intelligence

APRIL 25, 2022

The course includes instruction in statistics, machine learning, natural language processing, deep learning, Python, and R. Due to the short nature of the course, it’s tailored to those already in the industry who want to learn more about data science or brush up on the latest skills. Remote courses are also available.

Data Science

Data Science Machine Learning Deep Learning Statistics

Top Data Science Tools That Will Empower Your Data Exploration Processes

datapine

AUGUST 14, 2019

Data science tools are used for drilling down into complex data by extracting, processing, and analyzing structured or unstructured data to effectively generate useful information while combining computer science, statistics, predictive analytics, and deep learning. Let’s get started. Source: mathworks.com.

Data Science

Data Science Statistics Business Intelligence Visualization

3 Key Components of the Interdisciplinary Field of Data Science

Domino Data Lab

JULY 28, 2021

There are many software packages that allow anyone to build a predictive model, but without expertise in math and statistics, a practitioner runs the risk of creating a faulty, unethical, and even possibly illegal data science application. All models are not made equal. Computer Science Skills.

Data Science

Data Science Statistics Predictive Analytics Recreation/Entertainment

The curse of Dimensionality

Domino Data Lab

OCTOBER 7, 2020

The accuracy of any predictive model approaches 100%. Property 4: The accuracy of any predictive model approaches 100%. This means models can always be found that predict group characteristic with high accuracy. There should be no model to accurately predict even and odd rows with random data.

Statistics

Statistics Testing Predictive Modeling Big Data

AI In Analytics: Today and Tomorrow!

Smarten

APRIL 19, 2024

Assisted Predictive Modeling and Auto Insights to create predictive models using self-guiding UI wizard and auto-recommendations The Future of AI in Analytics The C=suite executive survey revealed that 93% felt that data strategy is critical to getting value from generative AI, but a full 57% had made no changes to their data.

Analytics

Analytics Predictive Modeling KPI Machine Learning

Notes on artificial intelligence, December 2017

DMBS2

DECEMBER 12, 2017

Machine learning and AI have little relevance to most traditional transactional apps. Predictive modeling is a huge deal in customer-relationship apps. The most advanced organizations developing and using those rely on machine learning. Voice interaction is already revolutionary in certain niches (e.g.

Machine Learning

Machine Learning Predictive Modeling Deep Learning Modeling

Five machine learning types to know

IBM Big Data Hub

DECEMBER 20, 2023

Unsupervised machine learning Unsupervised learning algorithms—like Apriori, Gaussian Mixture Models (GMMs) and principal component analysis (PCA)—draw inferences from unlabeled datasets, facilitating exploratory data analysis and enabling pattern recognition and predictive modeling.

Machine Learning

Machine Learning Modeling Deep Learning Predictive Modeling

Decoding Intelligence in OTT Platforms | Role of AI in Media & Entertainment

bridgei2i

DECEMBER 15, 2021

With significant adoption among industries as well as personal lives, AI is impacting enterprise transformation at scale, whilst changing the way humans interact with machines. Imperative to predicting user preferences or interests and suggestions, the recommendation engine market size is projected to reach $12.03 billion by 2025.[1]

Recreation/Entertainment

Recreation/Entertainment Advertising Metadata Predictive Modeling

AI in commerce: Essential use cases for B2B and B2C

IBM Big Data Hub

MAY 17, 2024

To take one example, AI-facilitated tools like voice navigation promise to upend the way users fundamentally interact with a system. AI models analyze vast amounts of data quickly and accurately. This content includes product descriptions, images, videos and even interactive experiences.

B2B

B2B Interactive Optimization Data-driven

The Cloud Connection: How Governance Supports Security

Alation

APRIL 14, 2022

Supports the ability to interact with the actual data and perform analysis on it. They strove to ramp up skills in all manner of predictive modeling, machine learning, AI, or even deep learning. Parametrization. A technique to automate changes in iterative passes. Pattern Matching. Visual Profiling.

Metadata

Metadata Data Governance Data-driven Modeling

Explaining black-box models using attribute importance, PDPs, and LIME

Domino Data Lab

AUGUST 1, 2021

The interest in interpretation of machine learning has been rapidly accelerating in the last decade. This can be attributed to the popularity that machine learning algorithms, and more specifically deep learning, has been gaining in various domains. Methods for explaining Deep Learning.

Modeling

Modeling Deep Learning Machine Learning Knowledge Discovery

Data Science at The New York Times

Domino Data Lab

JULY 9, 2019

Diving into examples of building and deploying ML models at The New York Times including the descriptive topic modeling-oriented Readerscope (audience insights engine), a prediction model regarding who was likely to subscribe/cancel their subscription, as well as prescriptive example via recommendations of highly curated editorial content.

Data Science

Data Science Machine Learning Advertising Modeling

Your data’s wasted without predictive AI. Here’s how to fix that

CIO Business Intelligence

MAY 6, 2025

Predictive analytics: Turning insight into foresight Predictive analytics uses historical data and statistical models or machine learning algorithms to answer the question, What is likely to happen? Predictive and prescriptive analytics are no longer bleeding-edge theyre battle-tested.

Prescriptive Analytics

Prescriptive Analytics Predictive Analytics Descriptive Analytics ROI

Data Leaders Brief

Beyond the hype: Do you really need an LLM for your data?

Deep Learning Illustrated: Building Natural Language Processing Models

Webinars

Trending Sources

The unreasonable importance of data preparation

Webinars

The quest for high-quality data

11 most in-demand gen AI jobs companies are hiring for

15 best data science bootcamps for boosting your career

Top Data Science Tools That Will Empower Your Data Exploration Processes

3 Key Components of the Interdisciplinary Field of Data Science

The curse of Dimensionality

AI In Analytics: Today and Tomorrow!

Notes on artificial intelligence, December 2017

Five machine learning types to know

Decoding Intelligence in OTT Platforms | Role of AI in Media & Entertainment

AI in commerce: Essential use cases for B2B and B2C

The Cloud Connection: How Governance Supports Security

Explaining black-box models using attribute importance, PDPs, and LIME

Data Science at The New York Times

Your data’s wasted without predictive AI. Here’s how to fix that

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