Flipboard

OCTOBER 31, 2023

As a data scientist, is it worthwhile leveling up your Python skills? Dive into code comparisons across expertise levels & discover if "good enough" is really enough.

Python 160

Python Data Science Data Scientist 160

Data Science Dojo

NOVEMBER 1, 2023

Large language models hold the promise of transforming multiple industries, but they come with a set of potential risks. These risks of large language models include subjectivity, bias, prompt vulnerabilities, and more. In this blog, we’ll explore these challenges and present best practices to mitigate them, covering the use of guardrails, defensive UX design, LLM caching, user feedback, and data selection for fair and equitable results.

Machine Learning 418

Machine Learning Machine Learning AI AI 418

insideBIGDATA

NOVEMBER 2, 2023

Welcome to insideBIGDATA’s “Heard on the Street” round-up column! In this regular feature, we highlight thought-leadership commentaries from members of the big data ecosystem. Each edition covers the trends of the day with compelling perspectives that can provide important insights to give you a competitive advantage in the marketplace.

Big Data 406

Big Data Big Data Deep Learning Deep Learning 406

KDnuggets

NOVEMBER 2, 2023

Unlock the Power of SQL in Data Visualization: Master the Art of Preparing Data for Impactful Charts and Graphs.

Data Visualization 374

Data Visualization SQL 374

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

databricks

OCTOBER 31, 2023

Today we're excited to announce MLflow 2.8 supports our LLM-as-a-judge metrics which can help save time and costs while providing an approximation of.

ML 363

ML ML Data Science 363

Analytics Vidhya

OCTOBER 28, 2023

Introduction The world of data science has numerous candidates with technical expertise, but only a few excel at problem-solving. When it is about communicating and expressing these skills effectively, some people are great at it naturally, while others develop this ability over time. Fortunately, with the advent of tools such as Tableau, you get access […] The post Top 10 Tableau Projects for Data Science appeared first on Analytics Vidhya.

Tableau 357

Tableau Data Science Analytics Analytics 357

KDnuggets

OCTOBER 31, 2023

The future of the multimodal large language model.

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databricks

OCTOBER 30, 2023

Introduction Four months ago, we shared how AMD had emerged as a capable platform for generative AI and demonstrated how to easily and.

AI 362

AI AI ML ML 362

Analytics Vidhya

OCTOBER 30, 2023

Introduction We talk about AI almost daily due to its growing impact in replacing humans’ manual work. Building AI-enabled software has rapidly grown in a brief time. Enterprises and businesses believe in integrating reliable and responsible AI in their application to generate more revenue. The most challenging part of integrating AI into an application is […] The post Mastering AI Optimization and Deployment with Intel’s OpenVINO Toolkit appeared first on Analytics Vidhya.

AI 348

AI AI Analytics Analytics 348

Adrian Bridgwater for Forbes

NOVEMBER 3, 2023

Is the cloud down? Maybe not, the hyperscalers are good at cleaning & balancing SaaS delivery pipes. There may be ghosts in any machine, it’s worth looking inside first.

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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

NOVEMBER 2, 2023

For production grade LLM apps, you need a robust data pipeline. This article talks about the different stages of building a Gen AI data pipeline and what is included in these stages.

Data Pipeline 368

Data Pipeline AI AI 368

Machine Learning Mastery

OCTOBER 31, 2023

In a previous tutorial, we have explored the use of the k-means clustering algorithm as an unsupervised machine learning technique that seeks to group similar data into distinct clusters, to uncover patterns in the data. We have, so far, seen how to apply the k-means clustering algorithm to a simple two-dimensional dataset containing distinct clusters, […] The post K-Means Clustering for Image Classification Using OpenCV appeared first on MachineLearningMastery.com.

Clustering 334

Clustering Machine Learning Machine Learning Algorithm 334

Analytics Vidhya

OCTOBER 30, 2023

Introduction The introduction of artificial intelligence (AI) has resulted in ground-breaking advances in several different industries. The emergence of AI speech generators, which can produce realistic, synthesized human voices, is one example of how far AI has come in imitating human conduct. They depend on deep learning algorithms trained on significant datasets of previously recorded […] The post The Ultimate Guide to AI Voice Generators for 2023 Edition appeared first on Analytics Vid

Deep Learning 340

Deep Learning Deep Learning Artificial Intelligence Artificial Intelligence 340

databricks

NOVEMBER 1, 2023

Whether you’re an NFL fanatic, an alumnus rooting for your alma mater or a super fan just trying to catch a glimpse of T.

ML 328

ML ML 328

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

NOVEMBER 3, 2023

Learn how to tune your model’s hyperparameters using grid search and randomized search. Also learn to implement them in scikit-learn using GridSearchCV and RandomizedSearchCV.

Machine Learning 367

Machine Learning Machine Learning 367

Machine Learning Mastery

OCTOBER 29, 2023

When you work with OpenCV, you most often work with images. However, you may find it useful to create animation from multiple images. Chances are that showing images in rapid succession may give you different insight or it is easier to visualize your work by introducing a time axis. In this post, you will see […] The post How to Transform Images and Create Video with OpenCV appeared first on MachineLearningMastery.com.

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Analytics Vidhya

OCTOBER 31, 2023

Introduction Have you ever thought there would be a system where we can predict the efficiency of electric vehicles and that users can easily use that system? In the world of Electric Vehicles, we can predict the efficiency of electric vehicles with extreme accuracy. This concept has now come into the real world, we are […] The post ZenML for Electric Vehicles: From Data to Efficiency Predictions appeared first on Analytics Vidhya.

Analytics 336

Analytics Analytics ML ML 336

Adrian Bridgwater for Forbes

OCTOBER 30, 2023

Containers are lightweight packages of your application code with specific versions of programming language runtimes and libraries required to run your software services.

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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

NOVEMBER 1, 2023

Whether you're doing machine learning, scientific computing, or working with huge datasets, CuPy is an absolute game-changer.

Python 359

Python Machine Learning Machine Learning 359

Machine Learning Mastery

NOVEMBER 3, 2023

The OpenCV library comes with a module that implements the k-Nearest Neighbors algorithm for machine learning applications. In this tutorial, you are going to learn how to apply OpenCV’s k-Nearest Neighbors algorithm for the task of classifying handwritten digits. After completing this tutorial, you will know: Several of the most important characteristics of the k-Nearest […] The post K-Nearest Neighbors Classification Using OpenCV appeared first on MachineLearningMastery.com.

K-nearest Neighbors 315

K-nearest Neighbors Machine Learning Machine Learning Algorithm 315

Analytics Vidhya

OCTOBER 31, 2023

Introduction Isn’t it amazing that you can create a copy of a person’s voice using artificial intelligence? Voice cloning software with AI has made possible ideas that otherwise seemed far-fetched. From producing audiobooks to creating content for the entertainment industry, voice cloning has something in store for all. Wondering which software can help create human-like […] The post 10 Best Voice Cloning Software of 2023 appeared first on Analytics Vidhya.

Artificial Intelligence 336

Artificial Intelligence Artificial Intelligence Analytics Analytics 336

databricks

OCTOBER 30, 2023

Last year, we published the Big Book of MLOps, outlining guiding principles, design considerations, and reference architectures for Machine Learning Operations (MLOps). Since.

Machine Learning 306

Machine Learning Machine Learning AI AI 306

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

OCTOBER 31, 2023

Use this knowledge to upskill yourselves.

SQL 357

SQL 357

Machine Learning Mastery

NOVEMBER 1, 2023

Sponsored Content By Travis Addair & Geoffrey Angus If you’d like to learn more about how to efficiently and cost-effectively fine-tune and serve open-source LLMs with LoRAX, join our November 7th webinar. Developers are realizing that smaller, specialized language models such as LLaMA-2-7b outperform larger general-purpose models like GPT-4 when fine-tuned with proprietary […] The post Fast and Cheap Fine-Tuned LLM Inference with LoRA Exchange (LoRAX) appeared first on MachineLe

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Analytics Vidhya

OCTOBER 31, 2023

OpenAI is releasing a beta version that promises to completely change the way we communicate with this state-of-the-art AI, which is an exciting development for ChatGPT Plus subscribers. Two significant additions to this much-awaited edition are the capability to upload and analyze files as well as multimodal support, which improves the user experience.

Analytics 335

Analytics Analytics AI AI 335

insideBIGDATA

NOVEMBER 1, 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 284

AI AI Big Data Big Data 284

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

OCTOBER 30, 2023

A comparative overview of data warehouses, data lakes, and data marts to help you make informed decisions on data storage solutions for your data architecture.

Data Warehouse 354

Data Warehouse Data Lakes Data Engineer Data Engineering 354

Adrian Bridgwater for Forbes

NOVEMBER 1, 2023

As we develop enterprise software platform services over time, we often find initially complex application functions being simplified for the us.

AI 274

AI AI 274

Analytics Vidhya

NOVEMBER 3, 2023

Introduction The field of artificial intelligence has seen remarkable advancements in recent years, particularly in the area of large language models. LLMs can generate human-like text, summarize documents, and write software code. Mistral-7B is one of the recent large language models that support English text and code generation abilities, and it can be used for […] The post From GPT to Mistral-7B: The Exciting Leap Forward in AI Conversations appeared first on Analytics Vidhya.

Artificial Intelligence 328

Artificial Intelligence Artificial Intelligence AI AI 328

insideBIGDATA

OCTOBER 31, 2023

In this contributed article, Lior Gavish, CTO and Co-Founder of Monte Carlo, outlines some of the ways companies can erase themselves from ever appearing in these bad data horror stories, ranging from simple tips to bolster governance within their organization, to tools and best practices that will save data teams the time, hassle, and headache that comes with dealing with bad data.

Data Quality 284

Data Quality Big Data Big Data 284

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!