Flipboard

SEPTEMBER 20, 2023

KDnuggets' latest cheat sheet covers 10 curated hands-on projects to boost data science workflows with ChatGPT across ML, NLP, and full stack dev, including links to full project details.

Data Science 174

Data Science ML ML Analytics 174

insideBIGDATA

SEPTEMBER 19, 2023

In this contributed article, Jim Liddle, Chief Innovation Officer at Nasuni, describes how having file data stored in the cloud and workloads on-premises can result in serious performance issues because remote access and data consolidation don’t play well together. In fact, the combination can create “data gravity” that complicates and slows the movement of data, worsened by the latency that often accompanies remote access.

Cloud Data 459

Cloud Data Big Data Big Data 459

Analytics Vidhya

SEPTEMBER 22, 2023

Introduction The area of machine learning (ML) is rapidly expanding and has applications across many different sectors. Keeping track of machine learning experiments using MLflow and managing the trials required to construct them gets harder as they get more complicated. This can result in many problems for data scientists, such as: Given the above challenges, […] The post Machine Learning Experiment Tracking Using MLflow appeared first on Analytics Vidhya.

Machine Learning 389

Machine Learning Machine Learning Data Scientist ML 389

KDnuggets

SEPTEMBER 16, 2023

This tutorial offers a comprehensive hands-on walkthrough of machine learning with Scikit-learn. Readers will learn key concepts and techniques including data preprocessing, model training and evaluation, hyperparameter tuning, and compiling ensemble models for enhanced performance.

Machine Learning 381

Machine Learning Machine Learning 381

Speaker: Tamara Fingerlin, Developer Advocate

Apache Airflow® 3.0, the most anticipated Airflow release yet, officially launched this April. As the de facto standard for data orchestration, Airflow is trusted by over 77,000 organizations to power everything from advanced analytics to production AI and MLOps. With the 3.0 release, the top-requested features from the community were delivered, including a revamped UI for easier navigation, stronger security, and greater flexibility to run tasks anywhere at any time.

Analytics

Adrian Bridgwater for Forbes

SEPTEMBER 20, 2023

Open data exists as an information management practice to provide a controlled means of making data accessible, editable and sharable by any user or entity.

Big Data 345

Big Data Big Data 345

insideBIGDATA

SEPTEMBER 19, 2023

Welcome to the Generative AI Report round-up feature here on insideBIGDATA with a special focus on all the new applications and integrations tied to generative AI technologies. We’ve been receiving so many cool news items relating to applications and deployments centered on large language models (LLMs), we thought it would be a timely service for readers to start a new channel along these lines.

AI 435

AI AI Deep Learning Deep Learning 435

KDnuggets

SEPTEMBER 18, 2023

A practical walkthrough for random forests in Python.

Python 380

Python Machine Learning Machine Learning 380

databricks

SEPTEMBER 20, 2023

This blog post is in collaboration with Greg Rokita, AVP of Technology at Edmunds. Long envisioned as a key milestone in computing, we've.

AI 321

AI AI 321

insideBIGDATA

SEPTEMBER 18, 2023

Anyscale, the AI infrastructure company built by the creators of Ray, the world’s fastest-growing open-source unified framework for scalable computing, today announced a collaboration with NVIDIA to further boost the performance and efficiency of large language model (LLM) development on Ray and the Anyscale Platform for production AI.

AI 433

AI AI Big Data Big Data 433

Analytics Vidhya

SEPTEMBER 20, 2023

Introduction Diffusion Models have gained significant attention recently, particularly in Natural Language Processing (NLP). Based on the concept of diffusing noise through data, these models have shown remarkable capabilities in various NLP tasks. In this article, we will delve deep into Diffusion Models, understand their underlying principles, and explore practical applications, advantages, computational considerations, relevance […] The post Exploring Diffusion Models in NLP Beyond GANs

Natural Language Processing 357

Natural Language Processing Analytics Analytics Deep Learning 357

Speaker: Alex Salazar, CEO & Co-Founder @ Arcade | Nate Barbettini, Founding Engineer @ Arcade | Tony Karrer, Founder & CTO @ Aggregage

There’s a lot of noise surrounding the ability of AI agents to connect to your tools, systems and data. But building an AI application into a reliable, secure workflow agent isn’t as simple as plugging in an API. As an engineering leader, it can be challenging to make sense of this evolving landscape, but agent tooling provides such high value that it’s critical we figure out how to move forward.

AI

KDnuggets

SEPTEMBER 18, 2023

If you're looking for a hands-on experience with a detailed yet beginner-friendly tutorial on implementing Linear Regression using Scikit-learn, you're in for an engaging journey.

Supervised Learning 375

Supervised Learning Machine Learning Machine Learning 375

databricks

SEPTEMBER 18, 2023

Costa Rica is known for several things, both culturally and ecologically. Among those are biodiversity, coffee, Pura Vida, and most recently a rapidly.

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insideBIGDATA

SEPTEMBER 22, 2023

In this contributed article, Jakob Freund, Co-Founder and CEO at Camunda, explores three different types of AI that he predicts will dominate industries as organizations work to ensure business processes are streamlined and working as intended. These three AI buckets include predictive decision-making, generative processes, and assistive tools.

AI 418

AI AI Deep Learning Deep Learning 418

Analytics Vidhya

SEPTEMBER 19, 2023

Introduction In today’s world, generative AI pushes the boundaries of creativity, enabling machines to craft human-like content. Yet, amidst this innovation lies a challenge – bias in AI-generated outputs. This article delves into “Bias Mitigation in Generative AI.” We’ll explore the types of bias, from cultural to gender, and understand the real-world impacts they can […] The post Bias Mitigation in Generative AI appeared first on Analytics Vidhya.

AI 358

AI AI Analytics Analytics 358

Speaker: Andrew Skoog, Founder of MachinistX & President of Hexis Representatives

Manufacturing is evolving, and the right technology can empower—not replace—your workforce. Smart automation and AI-driven software are revolutionizing decision-making, optimizing processes, and improving efficiency. But how do you implement these tools with confidence and ensure they complement human expertise rather than override it? Join industry expert Andrew Skoog as he explores how manufacturers can leverage automation to enhance operations, streamline workflows, and make smarter, data-dri

AI

KDnuggets

SEPTEMBER 20, 2023

This tutorial provides hands-on experience with the key concepts and implementation of K-Means clustering, a popular unsupervised learning algorithm, for customer segmentation and targeted advertising applications.

Clustering 372

Clustering Algorithm Machine Learning Machine Learning 372

databricks

SEPTEMBER 18, 2023

We are thrilled to introduce the support of a new SQL feature in Apache Spark and Databricks: Lateral Column Alias (LCA). This feature.

SQL 306

SQL 306

insideBIGDATA

SEPTEMBER 20, 2023

Tuesday morning (Sept. 19, 2023), Intel kicked off its third annual developer event, Intel Innovation 2023, virtually and in San Jose, California. During the Day 1 keynote, “Developing the Future of the Siliconomy,” Intel CEO Pat Gelsinger, and a variety of customers, unveiled an array of technologies and applications that bring artificial intelligence everywhere and make it more accessible across all workloads.

Artificial Intelligence 397

Artificial Intelligence Artificial Intelligence Big Data Big Data 397

Analytics Vidhya

SEPTEMBER 18, 2023

Introduction Generative AI, with its remarkable ability to create data that closely resembles real-world examples, has garnered significant attention in recent years. While models like GANs and VAEs have stolen the limelight, a lesser-known gem called “Normalizing Flows” in generative AI has quietly reshaped the generative modeling landscape.

AI 355

AI AI Analytics Analytics 355

Speaker: Frank Taliano

Documents are the backbone of enterprise operations, but they are also a common source of inefficiency. From buried insights to manual handoffs, document-based workflows can quietly stall decision-making and drain resources. For large, complex organizations, legacy systems and siloed processes create friction that AI is uniquely positioned to resolve.

AI

KDnuggets

SEPTEMBER 22, 2023

Think GPT-4 is a big deal? These Generative AI newbies are already stealing the show!

AI 361

AI AI Artificial Intelligence Artificial Intelligence 361

databricks

SEPTEMBER 20, 2023

For data-driven enterprises, data analysts play a crucial role in extracting insights from data and presenting it in a meaningful way. However, many.

Data Analyst 297

Data Analyst Analytics Analytics 297

insideBIGDATA

SEPTEMBER 21, 2023

In this regular column, we’ll bring you all the latest industry news centered around our main topics of focus: big data, data science, machine learning, AI, and deep learning. Our industry is constantly accelerating with new products and services being announced everyday. Fortunately, we’re in close touch with vendors from this vast ecosystem, so we’re in a unique position to inform you about all that’s new and exciting.

Deep Learning 307

Deep Learning Deep Learning Big Data Big Data 307

Analytics Vidhya

SEPTEMBER 19, 2023

Introduction Since time immemorial, stories have captivated our hearts and minds with storylines that elicit emotions, stimulate creativity, and reveal important messages. But what if we could imagine that, thanks to the power of AI, we can now go beyond the limits of human storytelling and allow AI to co-author our stories? In this article, […] The post How Generative AI Transforms The Craft of Narration?

AI 353

AI AI Analytics Analytics 353

Speaker: Chris Townsend, VP of Product Marketing, Wellspring

Over the past decade, companies have embraced innovation with enthusiasm—Chief Innovation Officers have been hired, and in-house incubators, accelerators, and co-creation labs have been launched. CEOs have spoken with passion about “making everyone an innovator” and the need “to disrupt our own business.” But after years of experimentation, senior leaders are asking: Is this still just an experiment, or are we in it for the long haul?

KDnuggets

SEPTEMBER 20, 2023

On October 11th, 2023 the Feature Store Summit will bring together leading ML companies, such as Uber, WeChat and more, for in-depth discussions about data and AI.

ML 356

ML ML AI AI 356

databricks

SEPTEMBER 19, 2023

“Supply chains compete, not companies” — Martin Christopher No two supply chains are identical - the unique combination of products, industries, and geographic locat.

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insideBIGDATA

SEPTEMBER 16, 2023

In this contributed article, Shankar Narayanan, Head of Trading Research, Quantitative Brokers, discusses how In the era of artificial intelligence, cash treasury trading presents a unique opportunity to integrate new technologies, enhance trading methodologies and meet the growing demands of a rapidly evolving market.

Artificial Intelligence 307

Artificial Intelligence Artificial Intelligence AI AI 307

Analytics Vidhya

SEPTEMBER 20, 2023

Data engineering plays a pivotal role in the vast data ecosystem by collecting, transforming, and delivering data essential for analytics, reporting, and machine learning. Aspiring data engineers often seek real-world projects to gain hands-on experience and showcase their expertise. This article presents the top 20 data engineering project ideas with their source code.

Data Engineering 353

Data Engineering Data Engineer Data Engineering Data Engineering 353

Speaker: Ben Epstein, Stealth Founder & CTO | Tony Karrer, Founder & CTO, Aggregage

When tasked with building a fundamentally new product line with deeper insights than previously achievable for a high-value client, Ben Epstein and his team faced a significant challenge: how to harness LLMs to produce consistent, high-accuracy outputs at scale. In this new session, Ben will share how he and his team engineered a system (based on proven software engineering approaches) that employs reproducible test variations (via temperature 0 and fixed seeds), and enables non-LLM evaluation m

KDnuggets

SEPTEMBER 17, 2023

This article covers a high-level overview of popular supervised learning algorithms and is curated specially for beginners.

Supervised Learning 356

Supervised Learning Algorithm Machine Learning Machine Learning 356

databricks

SEPTEMBER 21, 2023

Introduction In this blog post, we'll explore a set of advanced SQL functions available within Apache Spark that leverage the HyperLogLog algorithm, enabling.

SQL 279

SQL Algorithm Data Engineering Data Engineering 279

insideBIGDATA

SEPTEMBER 20, 2023

In this contributed article, Charly Batista, PostgreSQL Tech Lead at Percona, explores why Postgres is on the rise and why Postgres' brand of open source is good for business. One of the most widely used database management systems in the world, Postgres still lags quite substantially behind the likes of MySQL and Oracle in total adoption.

Database 273

Database Big Data Big Data Analytics 273

Analytics Vidhya

SEPTEMBER 18, 2023

Introduction The fashion industry has not been left out and has been looking for ways to stay at the forefront of innovation to meet consumers’ ever-changing tastes and preferences. If you are into fashion or are a fashion freak, you should consider the capability of stable diffusers. The Segmind API makes this possibility too easy. […] The post GenAI in Fashion | A Segmind Stable Diffusion XL 1.0 Approach appeared first on Analytics Vidhya.

Analytics 353

Analytics Analytics Artificial Intelligence Artificial Intelligence 353

Speaker: Tamara Fingerlin, Developer Advocate

In this new webinar, Tamara Fingerlin, Developer Advocate, will walk you through many Airflow best practices and advanced features that can help you make your pipelines more manageable, adaptive, and robust. She'll focus on how to write best-in-class Airflow DAGs using the latest Airflow features like dynamic task mapping and data-driven scheduling!