Mlearning.ai
JULY 15, 2023
Hypothesis testing is a fundamental concept in the field of data science that plays a crucial role in making informed decisions based on… Continue reading on MLearning.
insideBIGDATA
JULY 21, 2023
The White House has just announced that that it accepting pledges from a number of high-profile tech companies for the safe development of AI. The Fact Sheet for today's meeting can be found here. Seven companies — Google, Microsoft, Meta, Amazon, OpenAI, Anthropic and Inflection — convened at the White House today to announce the voluntary agreements.
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Analytics Vidhya
JULY 21, 2023
Introduction Recent advances in natural language processing (NLP) are essential for data scientists to stay on top. NLP books are priceless sources that provide in-depth knowledge, practical guidance, and cutting-edge techniques in the field. We will examine the 8 best NLP books in this article, which are essential reading for data scientists. The principles of […] The post Top 7 NLP Books Every Data Scientist Must Read appeared first on Analytics Vidhya.
KDnuggets
JULY 21, 2023
Let's explore the journeys of SAS users who harnessed the power of SAS to unlock new opportunities and achieve their career goals.
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.
databricks
JULY 18, 2023
Today, Meta released their latest state-of-the-art large language model (LLM) Llama 2 to open source for commercial use1. This is a significant development.
insideBIGDATA
JULY 15, 2023
In this contributed article, Petr Nemeth. founder and CEO of Dataddo, discusses how data security is becoming a major concern for buyers of data tools. Here are seven criteria to help evaluate the suitability of any data tool for your data stack.
Data Science Current brings together the best content for data science professionals from the widest variety of thought leaders.
KDnuggets
JULY 17, 2023
Putting the world to shame.
databricks
JULY 18, 2023
We are excited to announce enhanced monitoring and observability features in Databricks Workflows. This includes a new real-time insights dashboard to see all.
insideBIGDATA
JULY 18, 2023
Splunk Inc. (NASDAQ: SPLK), the cybersecurity and observability leader, today announced Splunk AI, a collection of new AI-powered offerings to enhance its unified security and observability platform. Splunk AI combines automation with human-in-the-loop experiences, so organizations can drive faster detection, investigation and response while controlling how AI is applied to their data.
Analytics Vidhya
JULY 21, 2023
Swiggy, the renowned food delivery platform, embraces the potential of generative AI to transform how we discover food and groceries. Following the footsteps of major industry players such as Zomato, Blinkit, and Instacart, Swiggy aims to bring the latest AI technologies to its platform. By developing AI-led solutions for its restaurant partners and delivery ecosystem, […] The post Swiggy Follows Zomato and Blinkit in Integrating Generative AI appeared first on Analytics Vidhya.
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.
KDnuggets
JULY 20, 2023
Unveiling GPT-4: Deciphering its impact on data science and exploring its strengths and boundaries.
Adrian Bridgwater for Forbes
JULY 18, 2023
We have cloud observability specialists, we have application performance specialists & we have cloud-native security specialists - and then we have monitoring purists.
databricks
JULY 19, 2023
Today, we’re excited to share that we’ve completed our acquisition of MosaicML, a leading platform for creating and customizing generative AI models for you.
Analytics Vidhya
JULY 21, 2023
OpenAI has taken a significant step in enhancing user control over its AI language model, ChatGPT, by introducing a new feature called ‘custom instructions’ This latest update aims to streamline interactions and provide a more personalized experience for users. This article explores the various aspects of this new feature and teaches you how to enable […] The post OpenAI Launches Custom Instructions for ChatGPT for Personalized AI Interaction appeared first on Analytics Vidhya.
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
KDnuggets
JULY 21, 2023
Don’t have any coding experience? Don’t worry. Check out this drag-and-drop tool that helps you to build your own customized LLM flows. And guess what, you don’t have to be a tech professional!
Adrian Bridgwater for Forbes
JULY 17, 2023
Although we might argue that every form of data analytics is basically good, the way we use the insights from AI information analytics actions can be both good & bad.
databricks
JULY 21, 2023
Let's say a distributor reached out wanting to understand what factors are driving the sale of carbonated beverages from customers in their convenience.
Analytics Vidhya
JULY 21, 2023
Introduction Statistical analysis plays a crucial role in the fast-developing field of data science, enabling researchers to gain insightful knowledge from data. However, the disagreement between Bayesian and frequentist methods has always been against each other. These two strategies embody different mindsets and procedures, each offering unique benefits and drawbacks.
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.
KDnuggets
JULY 19, 2023
This article explores the technical details and implications of Meta's newly released Llama 2, a large language model that promises to revolutionize the field of generative AI. We delve into its capabilities, performance, and potential applications, while also discussing its open-source nature and the company's commitment to safety and transparency.
Cassie Kozyrkov
JULY 21, 2023
Explained the best possible way: with cats!
databricks
JULY 21, 2023
This is part seven of a multi-part series to share key insights and tactics with Senior Executives leading data and AI transformation initiatives.
Analytics Vidhya
JULY 21, 2023
Introduction Civil engineering has witnessed a remarkable transformation in recent years, owing to the integration of data science techniques. Data science has emerged as a powerful tool, revolutionizing how civil engineers approach infrastructure project design, planning, and management. This article delves into the crucial role data science plays in civil engineering and its impact on […] The post Exploring the Power of Data Science in Civil Engineering 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?
KDnuggets
JULY 21, 2023
Addressing the potential risks associated with superintelligence systems.
insideBIGDATA
JULY 19, 2023
Since the release of ChatGPT late last year, the world has gone crazy for large language models (LLMs) and generative AI powered by transformers. The biggest players in our industry are now jockeying for prime position in this lucrative space. The news cycle is extremely fast-paced and technology is advancing at an incredible rate. Meta's announcement yesterday about Llama 2, the latest version of their large language model, being open sourced is a good example.
databricks
JULY 17, 2023
For over a year now, Databricks and dbt Labs have been working together to realize the vision of simplified real-time analytics engineering, combining.
Analytics Vidhya
JULY 21, 2023
Introduction Generative AI, an exciting field at the intersection of artificial intelligence and creativity, is revolutionizing various industries by enabling machines to generate new and original content. From generating realistic images and music compositions to creating lifelike text and immersive virtual environments, generative AI is pushing the boundaries of what machines can achieve.
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
JULY 20, 2023
To learn more about the DataOps market, download your free copy of the Gartner Market Guide for DataOps Tools.
Data Science Dojo
JULY 21, 2023
Data Analysis Expressions (DAX) is a language used in Analysis Services, Power BI, and Power Pivot in Excel. DAX formulas include functions, operators, and values to perform advanced calculations and queries on data in related tables and columns in tabular data models. The Basics of DAX for Data Analysis DAX is a powerful language that can be used to create dynamic and informative reports that can help you make better decisions.
insideBIGDATA
JULY 21, 2023
In this video presentation, Aleksa Gordić explains what it takes to scale ML models up to trillions of parameters! He covers the fundamental ideas behind all of the recent big ML models like Meta's OPT-175B, BigScience BLOOM 176B, EleutherAI's GPT-NeoX-20B, GPT-J, OpenAI's GPT-3, Google's PaLM, DeepMind's Chinchilla/Gopher models, etc.
Analytics Vidhya
JULY 20, 2023
Introduction In the ever-expanding realm of artificial intelligence, one fascinating field that has captured the imagination of researchers, technologists, and enthusiasts alike is Generative AI. These clever algorithms are pushing the limits of what robots can do and understand every day, ushering in a new era of invention and creativity. In this essay, we embark […] The post The Fascinating Evolution of Generative AI appeared first on Analytics Vidhya.
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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