insideBIGDATA
APRIL 22, 2023
Our friends over at Scale are excited to introduce the 2nd edition of Scale Zeitgeist: AI Readiness Report! The company surveyed more than 1,600 executives and ML practitioners to uncover what’s working, what’s not, and the best practices for organizations to deploy AI for real business impact.
KDnuggets
APRIL 25, 2023
And how to use this amazing tool to enhance our SQL skills.
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Data Science Dojo
APRIL 25, 2023
SQL (Structured Query Language) is an important tool for data scientists. It is a programming language used to manipulate data stored in relational databases. Mastering SQL concepts allows a data scientist to quickly analyze large amounts of data and make decisions based on their findings. Here are some essential SQL concepts that every data scientist should know: First, understanding the syntax of SQL statements is essential in order to retrieve, modify or delete information from databases.
Machine Learning Mastery
APRIL 24, 2023
Last Updated on May 1, 2023 Predictive modeling with deep learning is a skill that modern developers need to know. PyTorch is the premier open-source deep learning framework developed and maintained by Facebook. At its core, PyTorch is a mathematical library that allows you to perform efficient computation and automatic differentiation on graph-based models.
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.
insideBIGDATA
APRIL 24, 2023
Neural Magic is a startup company that focuses on developing technology that enables deep learning models to run on commodity CPUs rather than specialized hardware like GPUs. The company was founded in 2018 by Alexander Matveev, a former researcher at MIT, and Nir Shavit, a professor of computer science at MIT. They raised a total of $50 million in funding to date over 3 rounds, from investors such as Comcast Ventures, NEA, Andreessen Horowitz, Pillar VC, and Amdocs.
KDnuggets
APRIL 28, 2023
This article is meant to help you understand the art of data visualization and how to apply it to your work.
Data Science Current brings together the best content for data science professionals from the widest variety of thought leaders.
Data Science Dojo
APRIL 26, 2023
This blog explores the amazing AI (Artificial Intelligence) technology called ChatGPT that has taken the world by storm and try to unravel the underlying phenomenon which makes up this seemingly complex technology. What is ChatGPT? ChatGPT was officially launched on 30 th November 2022 by OpenAI and quickly amassed a huge following not even in a week.
insideBIGDATA
APRIL 26, 2023
Above the Trend Line: your industry rumor central is a recurring feature of insideBIGDATA. In this column, we present a variety of short time-critical news items grouped by category such as M&A activity, people movements, funding news, financial results, industry alignments, customer wins, rumors and general scuttlebutt floating around the big data, data science and machine learning industries including behind-the-scenes anecdotes and curious buzz.
KDnuggets
APRIL 26, 2023
Learn the basics of how confidence intervals are used in data science and statistics.
Analytics Vidhya
APRIL 27, 2023
Data Science and Data Analytics are two interrelated fields that have become increasingly important in today’s data-driven world. This article will explore the differences and similarities between these two fields and provide real-world examples of their applications. Find out which career is better for you: Data Science vs Data Analytics! Data Science vs Data Analytics […] The post Data Science vs Data Analytics: Which One Will Give You the Edge in 2023?
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.
databricks
APRIL 26, 2023
One of Lakehouse's outstanding achievements is the ability to combine workloads for modern use cases, such as traditional BI, machine learning & AI.
insideBIGDATA
APRIL 27, 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.
KDnuggets
APRIL 24, 2023
The article shows effective coding procedures for fixing noisy labels in text data that improve the performance of any NLP model. The impact is proved by the comparison of the ML algorithm on starting and cleaning the dataset.
Analytics Vidhya
APRIL 22, 2023
AI Detection Software Flagging the US Constitution as AI-Generated Content ChatGPT, one of history’s most widely adopted internet tools, has become increasingly popular among students and professionals for completing university essays, schoolwork, and other tasks. Along with the rise in generative AI tools and AI-generated content, a number of AI detection tools and software have […] The post Can AI-Generated Content Really Be Detected?
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
databricks
APRIL 25, 2023
Generative AI has been taking the world by storm. As the data and AI company, we have been on this journey with the.
insideBIGDATA
APRIL 23, 2023
Nathaniel Yellin, a 16-year-old student, has concluded a new study that reveals the significant gender bias in the sports media coverage of female athletes and, in particular, college basketball players. Yellin has pursued his passions for sports, data science and inspiring change through the creation of an organization and interactive R Shiny application SIDELINED.
KDnuggets
APRIL 28, 2023
Reduce LLM prediction error by 37% via data-centric AI.
Analytics Vidhya
APRIL 25, 2023
The first stage of the ambitious project RedPajama’s purpose, was to reproduce the LLaMA training dataset. This dataset contains more than 1.2 trillion tokens. Additionally, it aims to create entirely open-source language models. The RedPajama effort seeks to alter the game by developing completely open-source models, facilitating research and customization.
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.
databricks
APRIL 25, 2023
Today, we are excited to announce the general availability of Predictive I/O for Databricks SQL (DB SQL): a machine learning powered feature to.
insideBIGDATA
APRIL 25, 2023
In this special guest feature, DeVaris Brown, CEO and co-founder of Meroxa, details some best practices implemented to solve data-driven decision-making problems themed around Centralized Data, Decentralized Consumption (CDDC). We’ll start by looking at the problems, why the current solutions fail, what CDDC looks like in practice, and finally, how it can solve many of our foundational data problems.
KDnuggets
APRIL 24, 2023
Why does the continuous growth and future of intelligent machines concern ethics?
Analytics Vidhya
APRIL 28, 2023
Introduction If you work with programming languages and are familiar with Python, you must have had a brush with Pandas, a robust yet flexible data manipulation and analysis library. It was founded by Wes McKinney in 2008. Its value in the data analysis market cannot be overstated, as it has become the go-to tool for […] The post Pandas 2.0 appeared first on Analytics Vidhya.
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?
databricks
APRIL 26, 2023
The text generation capabilities of ChatGPT, Dolly and the like are truly impressive and are rightfully recognized as major steps forward in the.
Eugene Yan
APRIL 22, 2023
9 patterns including HITL, hard mining, reframing, cascade, data flywheel, business rules layer, and more.
KDnuggets
APRIL 25, 2023
Implement these tips to improve your MLOps skills and workflows.
Analytics Vidhya
APRIL 28, 2023
Mastering Prompt Engineering With OpenAI’s ChatGPT OpenAI is a cutting-edge artificial intelligence research organization backed by Microsoft. It has introduced a new short course on prompt engineering for developers utilizing its state-of-the-art language model, ChatGPT. The course, led by acclaimed AI expert and Coursera co-founder Andrew Ng, aims to assist developers in crafting more effective […] The post OpenAI with Andrew Ng Launches Course on Prompt Engineering (Limited Free T
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
databricks
APRIL 27, 2023
We are excited to announce the public preview of Databricks Marketplace, an open marketplace for all your data, analytics, and AI, powered by.
Adrian Bridgwater for Forbes
APRIL 25, 2023
Defining ‘bad IT' is difficult because it was usually considered to be good technology at some point. But as time goes on, software platforms evolve, standards and form factors progress, creative innovations come about and shinier newer software services are brought to market.
KDnuggets
APRIL 25, 2023
Let’s go over what the Stanford Institute for Human-Centered Artificial Intelligence (HAI) found out about Artificial intelligence.
Analytics Vidhya
APRIL 27, 2023
In response to the growing interest in artificial intelligence and the rapid adoption of chatbot technologies worldwide, Russia’s dominant financial institution, Sberbank, has recently unveiled its own AI chatbot, GigaChat. The Russian-made chatbot is designed to offer a high-quality alternative to OpenAI’s popular ChatGPT. Moreover, it is currently in its initial invite-only testing phase.
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!
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