Sat.May 13, 2023 - Fri.May 19, 2023

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5 newer data science tools you should be using with Python

Flipboard

Python's rich ecosystem of data science tools is a big draw for users.

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Close the Data Gap

insideBIGDATA

In this contributed article, Sangeeta Krishnan highlights how a data gap refers to missing data about a particular area of interest. Data gaps are a problem for organizations of all sizes. They can be costly, frustrating and time consuming to fix. But with the right strategies and tools, you can identify where the problems lie and implement effective changes.

Big Data 530
professionals

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Breaking Down AutoGPT

KDnuggets

AutoGPT has taken the world by storm and has even surpassed ChatGPT itself. So, get ready to dive into the exciting world of Auto-GPT.

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What are Large Language Models

Machine Learning Mastery

Last Updated on May 19, 2023 Large language models (LLMs) are recent advances in deep learning models to work on human languages. Some great use case of LLMs has been demonstrated. A large language model is a trained deep-learning model that understands and generates text in a human-like fashion. Behind the scene, it is a […] The post What are Large Language Models appeared first on MachineLearningMastery.com.

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The 2nd Generation of Innovation Management: A Survival Guide

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?

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OpenAI’s New Tool Explains Behavior of Language Model At Every Neuron Level

Analytics Vidhya

In recent news, OpenAI has been working on a groundbreaking tool to interpret an AI model’s behavior at every neuron level. Large language models (LLMs) such as OpenAI’s ChatGPT are often called black boxes. Even data scientists have trouble explaining why a model responds in a particular manner, leading to inventing facts out of nowhere. […] The post OpenAI’s New Tool Explains Behavior of Language Model At Every Neuron Level appeared first on Analytics Vidhya.

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Heard on the Street – 5/15/2023

insideBIGDATA

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 459

More Trending

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Announcing the General Availability of Databricks SQL Serverless !

databricks

Today, we are thrilled to announce that serverless compute for Databricks SQL is Generally Available on AWS and Azure! Databricks SQL (DB SQL).

SQL 349
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One-Stop Framework Building Applications with LLMs

Analytics Vidhya

Introduction Large Language Models (LLMs) have been gaining popularity for the past few years. And with the entry of Open AIs ChatGPT, there was a massive popularity gain in the Industry towards these LLMs. These Large Language Models are being worked upon to create different applications from Question Answering Chatbots to Text Generators to Conversational […] The post One-Stop Framework Building Applications with LLMs appeared first on Analytics Vidhya.

Analytics 357
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FeatureByte Releases FeatureByte SDK in Open Source

insideBIGDATA

FeatureByte, an AI startup formed by a team of data science experts, announced the release of its open-source FeatureByte SDK. The SDK allows data scientists to use Python to create state-of-the-art features and deploy feature pipelines in minutes – all with just a few lines of code. FeatureByte automatically generates complex, time-aware SQL to perform feature transformations at scale in cloud data platforms such as Databricks and Snowflake.

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Bayesian vs Frequentist Statistics in Data Science

KDnuggets

Is your statistical alignment Bayesian or a Frequentist?

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Apache Airflow® Best Practices: DAG Writing

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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Latency goes subsecond in Apache Spark Structured Streaming

databricks

Apache Spark Structured Streaming is the leading open source stream processing platform. It is also the core technology that powers streaming on the.

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Data Mining vs Machine Learning: Choosing the Right Approach

Analytics Vidhya

Data mining and machine learning are two closely related yet distinct fields in data analysis. With both techniques extracting valuable insights, it becomes crucial to understand their characteristics, applications, and methodologies. What is data mining vs machine learning? How do they differ in terms of goals and approaches? This article aims to shed light on […] The post Data Mining vs Machine Learning: Choosing the Right Approach appeared first on Analytics Vidhya.

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Cognizant Launches Cognizant Neuro®? AI Platform to Help Companies Responsibly Deploy Generative AI at Enterprise Scale

insideBIGDATA

Cognizant (NASDAQ: CTSH) announced a new, enterprise-wide platform, Cognizant Neuro®️ AI, designed to provide enterprises with a comprehensive approach to accelerate the adoption of generative AI technology and harness its business value in a flexible, secure, scalable and responsible way.

AI 397
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Super Bard: The AI That Can Do It All and Better

KDnuggets

A new AI Bard powered by PaLM V2 that can write, translate, and code better than ChatGPT.

AI 326
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Optimizing The Modern Developer Experience with Coder

Many software teams have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth. This is where Coder comes in. In our 101 Coder webinar, you’ll explore how cloud-based development environments can unlock new levels of productivity. Discover how to transition from local setups to a secure, cloud-powered ecosystem with ease.

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Databricks on GCP - A practitioners guide on data exfiltration protection.

databricks

The Databricks Lakehouse Platform provides a unified set of tools for building, deploying, sharing, and maintaining enterprise-grade data solutions at scale. Databricks integrates.

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How to Evaluate a Large Language Model (LLM)?

Analytics Vidhya

Introduction With the release of Chatgpt and other Large Language Models (LLMs), there has been a significant increase in the number of models available. New LLMs are being released every other day. Despite this, there is still no fixed or standardized way to evaluate the quality of these Large Language models. This article will review […] The post How to Evaluate a Large Language Model (LLM)?

Analytics 328
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insideBIGDATA Latest News – 5/18/2023

insideBIGDATA

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.

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How to Efficiently Scale Data Science Projects with Cloud Computing

KDnuggets

This article discusses the key components that contribute to the successful scaling of data science projects. It covers how to collect data using APIs, how to store data in the cloud, how to clean and process data, how to visualize data, and how to harness the power of data visualization through interactive dashboards.

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15 Modern Use Cases for Enterprise Business Intelligence

Large enterprises face unique challenges in optimizing their Business Intelligence (BI) output due to the sheer scale and complexity of their operations. Unlike smaller organizations, where basic BI features and simple dashboards might suffice, enterprises must manage vast amounts of data from diverse sources. What are the top modern BI use cases for enterprise businesses to help you get a leg up on the competition?

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New debugging features for Databricks Notebooks with Variable Explorer

databricks

Today, we are excited to announce the general availability of the Variable Explorer for Python in the Databricks Notebook. The Variable Explorer allows.

Python 264
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Top 5 AI Tools for Google Sheets

Analytics Vidhya

Introduction Spreadsheets are a fundamental tool used in businesses worldwide. They help with organizing data, tracking financials, and much more. However, handling large amounts of data can be time-consuming and error-prone. Fortunately, artificial intelligence (AI) has revolutionized how we use spreadsheets. There are now many AI tools available that can automate manual tasks and streamline […] The post Top 5 AI Tools for Google Sheets appeared first on Analytics Vidhya.

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From Data Mess to Data Mesh 

insideBIGDATA

In this contributed article, David Castro-Gavino, Global Vice President of Data at HelloFresh, highlights how the data mesh movement has been underway in recent years with the goal of reducing interdependencies and enabling self-service business intelligence. However, moving to a distributed data ownership takes organization, planning and buy-in from the right stakeholders, and we cannot underestimate the cultural change needed to accomplish this.

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5 Reasons Why You Should Get Certified

KDnuggets

In today's highly competitive job market, practitioners need every advantage they can get to stand out from the crowd and accelerate in their roles as a high-performing employee. With that in mind, here are 5 reasons why you should earn a SAS certification, and stand out to employers.

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Marketing Operations in 2025: A New Framework for Success

Speaker: Mike Rizzo, Founder & CEO, MarketingOps.com and Darrell Alfonso, Director of Marketing Strategy and Operations, Indeed.com

Though rarely in the spotlight, marketing operations are the backbone of the efficiency, scalability, and alignment that define top-performing marketing teams. In this exclusive webinar led by industry visionaries Mike Rizzo and Darrell Alfonso, we’re giving marketing operations the recognition they deserve! We will dive into the 7 P Model —a powerful framework designed to assess and optimize your marketing operations function.

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Community Spotlight: Brett Mullins

DrivenData Labs

The Community Spotlight celebrates the diversity of expertise, perspectives, and experiences of our community members. In this post we sit down with Brett Mullins, a winner of the Differential Privacy Temporal Map Challenge and a graduate student at the University of Massachusetts at Amherst. Name: Brett Mullins ¶ Hometown: Atlanta, Georgia ¶ Tell us a little about yourself.

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How To Use ChatGPT API In Python

Analytics Vidhya

Introduction Do you want to make your chatbots more conversational and intelligent? Then, look no further than ChatGPT by OpenAI. ChatGPT is a state-of-the-art conversational AI that can understand natural language queries and respond in a human-like manner. This article will guide you to access this powerful tool using the ChatGPT API using openAI library. […] The post How To Use ChatGPT API In Python appeared first on Analytics Vidhya.

Python 327
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WEKA Rolls Out New Features and Enhancements in 4.2 Software Release

insideBIGDATA

WekaIO, the data platform provider for performance-intensive workloads, unveiled version 4.2 of the WEKA® Data Platform. The new release brings a variety of enhanced features and new capabilities to the company designed to increase the affordability and performance of next-generation technologies for WEKA’s customers. These include advanced data reduction and a new container storage interface (CSI) plug-in for stateful containerized workloads that can help customers dramatically lower their stor

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IT Staff Augmentation: How AI Is Changing the Software Development Industry

KDnuggets

It discusses how AI assistants are helping teams become more efficient and how they can also be a benefit to developers.

AI 292
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Prepare Now: 2025s Must-Know Trends For Product And Data Leaders

Speaker: Jay Allardyce, Deepak Vittal, Terrence Sheflin, and Mahyar Ghasemali

As we look ahead to 2025, business intelligence and data analytics are set to play pivotal roles in shaping success. Organizations are already starting to face a host of transformative trends as the year comes to a close, including the integration of AI in data analytics, an increased emphasis on real-time data insights, and the growing importance of user experience in BI solutions.

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How Database Automation ‘Liberates’ Software Developers

Adrian Bridgwater for Forbes

Automation starts with data - so let's automate, but collaborate to mitigate as we assimilate, carefully deliberate and integrate with a view to facilitate and liberate.

Database 246
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AI Pilots May Soon Fly Passenger Planes, Says Emirates Airline President

Analytics Vidhya

In a recent interview, the president of Emirates Airline, Tim Clark, shared his belief that passenger planes may soon be flown by artificial intelligence (AI) co-pilots, with the possibility of a single-pilot aircraft. While some passengers may feel more comfortable knowing there are two pilots in the cockpit, Clark emphasized that the technology for fully […] The post AI Pilots May Soon Fly Passenger Planes, Says Emirates Airline President appeared first on Analytics Vidhya.

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Accelerating Grid-Edge Analytics using COMTRADE Files with Apache Spark

databricks

This solution accelerator and blog were created in collaboration with Schneider Electric. We'd like to thank Dan Sabin, a Schneider Electric Distinguished Technical.

Analytics 246
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Principal Component Analysis (PCA) with Scikit-Learn

KDnuggets

Learn how to perform principal component analysis (PCA) in Python using the scikit-learn library.

Python 290
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The Cloud Development Environment Adoption Report

Cloud Development Environments (CDEs) are changing how software teams work by moving development to the cloud. Our Cloud Development Environment Adoption Report gathers insights from 223 developers and business leaders, uncovering key trends in CDE adoption. With 66% of large organizations already using CDEs, these platforms are quickly becoming essential to modern development practices.