Deep Learning - Data Leaders Brief

Tools and Frameworks for Deep Learning GPU Benchmarks

Analytics Vidhya

JANUARY 1, 2025

Deep learning GPU benchmarks has revolutionized the way we solve complex problems, from image recognition to natural language processing. CPUs, being widely available and cost-efficient, often serve […] The post Tools and Frameworks for Deep Learning GPU Benchmarks appeared first on Analytics Vidhya.

Deep Learning

Deep Learning Modeling Analytics

Batch Processing vs Mini-Batch Training in Deep Learning

Analytics Vidhya

JUNE 29, 2025

Deep learning has revolutionised the AI field by allowing machines to grasp more in-depth information within our data. Deep learning has been able to do this by replicating how our brain functions through the logic of neuron synapses.

Deep Learning

Deep Learning Modeling Analytics

12 Free And Paid LLMs for Your Daily Tasks

Analytics Vidhya

OCTOBER 14, 2024

They use deep learning techniques, particularly transformers, to perform various language tasks such as translation, text generation, and summarization. […] The post 12 Free And Paid LLMs for Your Daily Tasks appeared first on Analytics Vidhya.

Deep Learning

Deep Learning Interactive Modeling Analytics

Webinars

How to Streamline Payment Applications & Lien Waivers Through Innovative Construction Technology

Airflow Best Practices for ETL/ELT Pipelines

MORE WEBINARS

Guide to Lightning-fast JAX

Analytics Vidhya

OCTOBER 30, 2024

Your new best friend in your machine learning, deep learning, and numerical computing journey. Hey there, fellow Python enthusiast! Have you ever wished your NumPy code run at supersonic speed? Think of it as NumPy with superpowers.

Deep Learning

Deep Learning Machine Learning Analytics IT

How to Evaluate ASR Solution Brief

There is a fundamental difference between 1st generation, 2nd generation, and modern-day Automatic Speech Recognition (ASR) solutions that use 100% deep learning technology. In this solution brief, you will learn: The differences between 1st generation, 2nd generation, and modern-day ASR solutions.

Deep Learning

10 GitHub Awesome Lists for Data Science

KDnuggets

JULY 1, 2025

It also includes free machine learning books, courses, blogs, newsletters, and links to local meetups and communities. Awesome Machine Learning Tutorials: Practical Guides and Articles Link: ujjwalkarn/Machine-Learning-Tutorials A collection of machine learning and deep learning tutorials, articles, and resources.

Data Science

Data Science Machine Learning Advertising Deep Learning

The key to operational AI: Modern data architecture

CIO Business Intelligence

NOVEMBER 27, 2024

Recent research shows that 67% of enterprises are using generative AI to create new content and data based on learned patterns; 50% are using predictive AI, which employs machine learning (ML) algorithms to forecast future events; and 45% are using deep learning, a subset of ML that powers both generative and predictive models.

Data Architecture

Data Architecture Cost-Benefit Machine Learning Experimentation

Build ETL Pipelines for Data Science Workflows in About 30 Lines of Python

KDnuggets

JULY 8, 2025

More On This Topic Developing Robust ETL Pipelines for Data Science Projects Data Science ETL Pipelines with DuckDB Build a Data Cleaning & Validation Pipeline in Under 50 Lines of Python Automatically Build AI Workflows with Magical AI Multi-modal deep learning in less than 15 lines of code SQL and Data Integration: ETL and ELT Our Top 5 Free Course (..)

Data Science

Data Science Machine Learning Advertising Deep Learning

Build a Data Cleaning & Validation Pipeline in Under 50 Lines of Python

KDnuggets

JUNE 24, 2025

Currently, shes working on learning and sharing her knowledge with the developer community by authoring tutorials, how-to guides, opinion pieces, and more. Bala also creates engaging resource overviews and coding tutorials.

Machine Learning

Machine Learning Data Science Advertising Data Quality

Generic ASR Will Never Be Accurate Enough for Conversational AI

It is an End to End Deep Learning ASR. What type of ASR is able to be tailored to your Conversational AI? This type of ASR can be trained with your audio data to make sure the intent is captured and the transcription is accurate for your use case. It can also be continually trained and improved to gain more accuracy and focus.

Deep Learning

Comprehensive data management for AI: The next-gen data management engine that will drive AI to new heights

CIO Business Intelligence

NOVEMBER 19, 2024

All industries and modern applications are undergoing rapid transformation powered by advances in accelerated computing, deep learning, and artificial intelligence. Learn from the SVP of Platform, Krish Vitaldevara, at INSIGHT 2024 as he shares how NetApp is making your infrastructure AI-ready.

Management

Management Unstructured Data Deep Learning Metadata

Scaling AI talent: An AI apprenticeship model that works

CIO Business Intelligence

NOVEMBER 12, 2024

As the director of AI innovation at AI Singapore, he spearheaded the explosive growth of artificial intelligence and deep learning, building a high-performing team of AI engineers from scratch. Laurence Liew an AI innovator, educator, and global advisor with over 25 years of experience in technology leadership and pioneering roles.

Modeling

Modeling Machine Learning Consulting Deep Learning

Bridging the Gap: New Datasets Push Recommender Research Toward Real-World Scale

KDnuggets

JUNE 11, 2025

Avi has been working in the field of data science and machine learning for over 6 years, both across academia and industry.

Advertising

Advertising Metadata Machine Learning Data Science

Image Classification with JAX, Flax, and Optax : A Step-by-Step Guide

Analytics Vidhya

NOVEMBER 18, 2024

In this tutorial, you will learn how to construct iterate update and train a CNN model using JAX, Flax, and Optax on the MNIST dataset.

Testing

Testing Modeling Analytics Deep Learning

A Gentle Introduction to Principal Component Analysis (PCA) in Python

KDnuggets

JULY 4, 2025

Iván Palomares Carrascosa is a leader, writer, speaker, and adviser in AI, machine learning, deep learning & LLMs. Wrapping Up This article illustrated through a Python step-by-step tutorial how to apply the PCA algorithm from scratch, starting from a dataset of handwritten digit images with high dimensionality.

Machine Learning

Machine Learning Data Science Advertising Statistics

With o3 having reached AGI, OpenAI turns its sights toward superintelligence

CIO Business Intelligence

JANUARY 6, 2025

It was introduced in 2019 by renowned AI researcher Franois Chollet, who created the Keras deep learning framework, and says that AGI is a system that can efficiently acquire new skills outside of its training data. ARC-AGI explained ARC-AGI is the abbreviation of Abstract and Reasoning Corpus for Artificial General Intelligence.

IT

IT Testing Measurement Deep Learning

Thinking Machines At Work: How Generative AI Models Are Redefining Business Intelligence

Smart Data Collective

JUNE 16, 2025

From automated content creation to synthetic forecasting, the range of applications continues to expand, each powered by large-scale data processing and deep learning frameworks.

Business Intelligence

Business Intelligence Modeling Machine Learning Big Data

Cloudera AI Inference Service Enables Easy Integration and Deployment of GenAI Into Your Production Environments

Cloudera

DECEMBER 4, 2024

Users can deploy trained models, including GenAI models or predictive deep learning models, directly to the Cloudera AI Inference service. Users can train and/or fine-tune models in the AI Workbench, and deploy them to the Cloudera AI Inference service for production use cases.

Metrics

Metrics Data Processing Machine Learning Deep Learning

Optimizing vector search using Amazon S3 Vectors and Amazon OpenSearch Service

AWS Big Data

JULY 21, 2025

Previously, he worked on products across the full lifecycle of machine learning, including data, analytics, and ML features on SageMaker platform, deep learning training and inference products at Intel. Bobby Mohammed is a Principal Product Manager at AWS leading the Search, GenAI, and Agentic AI product initiatives.

Optimization

Optimization Cost-Benefit Dashboards Management

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

CIO Business Intelligence

FEBRUARY 6, 2025

Think about it: LLMs like GPT-3 are incredibly complex deep learning models trained on massive datasets. From automating tedious tasks to unlocking insights from unstructured data, the potential seems limitless. But heres the question I keep asking myself: do we really need this immense power for most of our analytics?

Unstructured Data

Unstructured Data Manufacturing Data Governance Sales

AI, align thyself

CIO Business Intelligence

JULY 1, 2025

Use SHAP and LIME for traditional machine learning models to break down feature importance in predictions. For deep learning models, employ mechanistic interpretability methods like reverse-engineering neural activations and neuron analysis to identify hidden biases or unexpected decision pathways.

Testing

Testing Risk Strategy Optimization

Generative AI: A Self-Study Roadmap

KDnuggets

JULY 11, 2025

Contributing to Open Source : Contributing to generative AI open-source projects provides deep learning opportunities while building professional reputation. Set aside time for exploring new models, testing emerging techniques, and building small proof-of-concept applications.

Machine Learning

Machine Learning Testing Data Science Cost-Benefit

ML and AI Model Explainability and Interpretability

Analytics Vidhya

JANUARY 15, 2025

In this article, we dive into the concepts of machine learning and artificial intelligence model explainability and interpretability. We explore why understanding how models make predictions is crucial, especially as these technologies are used in critical fields like healthcare, finance, and legal systems.

Modeling

Modeling Machine Learning Finance Technology

Deploying the Magistral vLLM Server on Modal

KDnuggets

JUNE 17, 2025

Abid holds a Masters degree in technology management and a bachelors degree in telecommunication engineering. His vision is to build an AI product using a graph neural network for students struggling with mental illness.

Machine Learning

Machine Learning Data Science Advertising Testing

Building a Multi-Agent System with CAMEL AI

Analytics Vidhya

DECEMBER 23, 2024

Deep learning intelligent agents are revolutionizing the concept of machine and technology around us. Cognitive systems are able to reason, decide, operate and even solve problems without human interferences.

Deep Learning

Deep Learning Technology Analytics

Synthetic data’s fine line between reward and disaster

CIO Business Intelligence

MAY 21, 2025

Early approaches like rule-based generation or SMOTE required minimal computational resources, while modern deep learning approaches like GANs demand substantial GPU capacity, Vawdrey says. They may also underestimate infrastructure required to make synthetic data.

Statistics

Statistics Testing Modeling Risk

Small Language Models, Big Impact: Fine-Tuning DistilGPT-2 for Medical Queries

Analytics Vidhya

NOVEMBER 22, 2024

Language models have transformed how we interact with data, enabling applications like chatbots, sentiment analysis, and even automated content generation. However, most discussions revolve around large-scale models like GPT-3 or GPT-4, which require significant computational resources and vast datasets.

Modeling

Modeling Interactive Data Enablement Analytics

What is Mixture of Experts (MoE)?

Analytics Vidhya

DECEMBER 24, 2024

The emergence of Mixture of Experts (MoE) architectures has revolutionized the landscape of large language models (LLMs) by enhancing their efficiency and scalability. This innovative approach divides a model into multiple specialized sub-networks, or “experts,” each trained to handle specific types of data or tasks.

Modeling

Modeling Analytics Deep Learning

Understanding Continuous Bag of Words (CBOW)

Analytics Vidhya

NOVEMBER 28, 2024

Semantics is important because in NLP it is the relationships between the words that are being studied. One of the simplest yet highly effective procedure is Continuous Bag of Words (CBOW) which maps words to highly meaningful vectors called word vectors.

Analytics

Analytics IT Deep Learning

10 Large Language Model Key Concepts Explained - KDnuggets

KDnuggets

JUNE 16, 2025

Iván Palomares Carrascosa is a leader, writer, speaker, and adviser in AI, machine learning, deep learning & LLMs. Being familiar with these concepts places you in an advantageous position to stay abreast of new trends and developments in the rapidly evolving LLM landscape.

Modeling

Modeling Machine Learning Data Science Advertising

Top Predictive Analytics Models and Algorithms to Know

Jet Global

JULY 25, 2025

8 Types of Predictive Analytics Algorithms Overall, predictive analytics algorithms can be separated into two groups: machine learning and deep learning. Machine learning involves structured data that we see in a table. Algorithms for this comprise both linear and nonlinear varieties.

Predictive Analytics

Predictive Analytics Modeling Analytics Forecasting

Achieve the best price-performance in Amazon Redshift with elastic histograms for selectivity estimation

AWS Big Data

OCTOBER 25, 2024

He has experience with relational databases, multi-dimensional databases, IoT technologies, storage and compute infrastructure services, and more recently, as a startup founder in the areas of AI and deep learning. Ravi holds dual Bachelors degrees in Physics and Electrical Engineering from Washington University, St.

Statistics

Statistics Data Warehouse Metadata Data Lake

Navigating the AI Ecosystem: A Developer’s Guide to Embracing Transformation

Data Virtualization

JUNE 2, 2025

Reading Time: 2 minutes The AI ecosystem is rapidly evolving, driven by breakthroughs in machine learning, deep learning, natural language processing (NLP), and computer vision. Fueling this evolution, major tech companies, research institutions, and open-source communities are democratizing access to powerful new AI tools.

Deep Learning

Deep Learning Machine Learning Data-driven Data Integration

Memory-Efficient Model Weight Loading in PyTorch

Analytics Vidhya

OCTOBER 18, 2024

I recently came across a post by Sebastian that caught my attention, and I wanted to dive deeper into its content. As models grow larger and more complex, efficiently managing memory during model loading becomes increasingly important, especially when working with limited GPU or CPU resources.

Modeling

Modeling Management Analytics IT

Building TensorFlow Pipelines with Vertex AI

Analytics Vidhya

MARCH 25, 2025

How can you ensure your machine learning models get the high-quality data they need to thrive? In todays machine learning landscape, handling data well is as important as building strong models. Feeding high-quality, well-structured data into your models can significantly impact performance and training speed.

Machine Learning

Machine Learning Structured Data Modeling Analytics

An innovation rocketship within reach

CIO Business Intelligence

JULY 1, 2025

AI techniques like machine and deep learning, GenAI with a combination of RAG, prompt engineering, and LLMs allowed the company to build a support assistant and make the most of that disparate service data, increasing productivity and customer satisfaction. This massive quantity of data was spread across many on-prem tools.

ROI

ROI Data Governance Deep Learning Strategy

The New Career Crisis: AI Is Breaking the Entry-Level Path for Gen Z

DataFloq

JULY 1, 2025

The best direction will show your initiative, technical skills, and willingness to perform in AI-enhanced surroundings.

Machine Learning

Machine Learning Deep Learning Marketing Data-driven

10 most used gen AI tools in the enterprise

CIO Business Intelligence

APRIL 17, 2025

OpenAI launched the original DALL-E model in 2021, and the DALL-E 3 deep learning model leverages computer vision and natural language processing to create visuals. Runway has a steep learning curve for some features and can be resource intensive.

Enterprise

Enterprise Testing Deep Learning Visualization

Ride the AI wave: Learn to flow

CIO Business Intelligence

DECEMBER 18, 2024

Fast forward to 2014, when I joined IBM as an associate partner in their Innovation Practice for Natural Resources, focusing on Cognitive (Watson IBMs version of AI and deep learning models).

Deep Learning

Deep Learning Interactive Reporting Digital Transformation

Large Language Models: A Self-Study Roadmap

KDnuggets

JULY 7, 2025

I have given a few resources that might help you learn NLP: Coursera: DeepLearning.AI Natural Language Processing Specialization - Focuses on NLP techniques and applications (Recommended) Stanford CS224n (YouTube): Natural Language Processing with Deep Learning - A comprehensive lecture series on NLP with deep learning.

Modeling

Modeling Machine Learning Deep Learning Data Science

Educating a New Generation of Workers

O'Reilly on Data

NOVEMBER 26, 2024

This could certainly be used by educational institutions to give them a competitive advantage.

B2B

B2B Consulting Machine Learning Data-driven

5 Things You Need to Know About Agentic AI

KDnuggets

JUNE 23, 2025

Agentic AI works by understanding its environment, reasoning to develop plans, executing the plans, and learns from the output. Under the hood, agentic AI often integrates various machine learning techniques, including reinforcement learning, deep learning, and natural language processing, among others.

Machine Learning

Machine Learning Data Science Advertising Technology

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

CIO Business Intelligence

MAY 6, 2025

While the algorithms can vary in complexity, from logistic regression to deep learning, the value lies in what they help us anticipate and prevent. Predictive analytics: Seeing whats next Predictive analytics uses patterns in historical data to forecast future outcomes.

Prescriptive Analytics

Prescriptive Analytics Predictive Analytics Descriptive Analytics ROI

What is OpenAI o3 and How is it Different than other LLMs?

DataFloq

JUNE 17, 2025

It has been designed keeping in mind the tasks that require deep analytical thinking and reasoning capabilities. Like other AI chatbots by OpenAI, this is also based on transformer architecture and uses deep learning techniques for processing user prompts and generating output.

IT

IT Deep Learning Modeling Interactive

Tools and Frameworks for Deep Learning GPU Benchmarks

Batch Processing vs Mini-Batch Training in Deep Learning

Webinars

Trending Sources

12 Free And Paid LLMs for Your Daily Tasks

Webinars

Guide to Lightning-fast JAX

How to Evaluate ASR Solution Brief

10 GitHub Awesome Lists for Data Science

The key to operational AI: Modern data architecture

Build ETL Pipelines for Data Science Workflows in About 30 Lines of Python

Build a Data Cleaning & Validation Pipeline in Under 50 Lines of Python

Generic ASR Will Never Be Accurate Enough for Conversational AI

Comprehensive data management for AI: The next-gen data management engine that will drive AI to new heights

Scaling AI talent: An AI apprenticeship model that works

Bridging the Gap: New Datasets Push Recommender Research Toward Real-World Scale

Image Classification with JAX, Flax, and Optax : A Step-by-Step Guide

A Gentle Introduction to Principal Component Analysis (PCA) in Python

With o3 having reached AGI, OpenAI turns its sights toward superintelligence

Thinking Machines At Work: How Generative AI Models Are Redefining Business Intelligence

Cloudera AI Inference Service Enables Easy Integration and Deployment of GenAI Into Your Production Environments

Optimizing vector search using Amazon S3 Vectors and Amazon OpenSearch Service

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

AI, align thyself

Generative AI: A Self-Study Roadmap

ML and AI Model Explainability and Interpretability

Deploying the Magistral vLLM Server on Modal

Building a Multi-Agent System with CAMEL AI

Synthetic data’s fine line between reward and disaster

Small Language Models, Big Impact: Fine-Tuning DistilGPT-2 for Medical Queries

What is Mixture of Experts (MoE)?

Understanding Continuous Bag of Words (CBOW)

10 Large Language Model Key Concepts Explained - KDnuggets

Top Predictive Analytics Models and Algorithms to Know

Achieve the best price-performance in Amazon Redshift with elastic histograms for selectivity estimation

Navigating the AI Ecosystem: A Developer’s Guide to Embracing Transformation

Memory-Efficient Model Weight Loading in PyTorch

Building TensorFlow Pipelines with Vertex AI

An innovation rocketship within reach

The New Career Crisis: AI Is Breaking the Entry-Level Path for Gen Z

10 most used gen AI tools in the enterprise

Ride the AI wave: Learn to flow

Large Language Models: A Self-Study Roadmap

Educating a New Generation of Workers

5 Things You Need to Know About Agentic AI

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

What is OpenAI o3 and How is it Different than other LLMs?

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