Sat.Mar 11, 2023 - Fri.Mar 17, 2023

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An Introduction to Large Language Models (LLMs)

Analytics Vidhya

Introduction Large Language Models (LLMs) are foundational machine learning models that use deep learning algorithms to process and understand natural language. These models are trained on massive amounts of text data to learn patterns and entity relationships in the language. LLMs can perform many types of language tasks, such as translating languages, analyzing sentiments, chatbot […] The post An Introduction to Large Language Models (LLMs) appeared first on Analytics Vidhya.

Modeling 329
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Getting the Right Answer from ChatGPT

O'Reilly on Data

A couple of days ago, I was thinking about what you needed to know to use ChatGPT (or Bing/Sydney, or any similar service). It’s easy to ask it questions, but we all know that these large language models frequently generate false answers. Which raises the question: If I ask ChatGPT something, how much do I need to know to determine whether the answer is correct?

Testing 269
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A Complete Guide To Bar Charts With Examples, Benefits, And Different Types 

datapine

Table of Contents 1) What Are Bar Charts & Graphs? 2) Pros & Cons Of Bar Charts 3) When To Use A Bar Graph 4) Types Of Bar Charts 5) Bar Graphs & Charts Best Practices 6) Bar Chart Examples In today’s fast-paced analytical landscape, data visualization has become one of the most powerful tools organizations can benefit from to be successful with their analytical efforts.

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Two Downs Make Two Ups: The Only Success Metrics That Matter For Your Data & Analytics Team

DataKitchen

Introduction. How to measure your data analytics team? So it’s Monday, and you lead a data analytics team of perhaps 30 people. You’ve got a new boss. And she is numbers driven – great! But wait, she asks you for your team metrics. Like most leaders of data analytic teams, you have been doing very little to quantify your team’s success.

Metrics 130
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Generative AI Deep Dive: Advancing from Proof of Concept to Production

Speaker: Maher Hanafi, VP of Engineering at Betterworks & Tony Karrer, CTO at Aggregage

Executive leaders and board members are pushing their teams to adopt Generative AI to gain a competitive edge, save money, and otherwise take advantage of the promise of this new era of artificial intelligence. There's no question that it is challenging to figure out where to focus and how to advance when it’s a new field that is evolving everyday. 💡 This new webinar featuring Maher Hanafi, VP of Engineering at Betterworks, will explore a practical framework to transform Generative AI pr

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Introduction to Apache Oozie

Analytics Vidhya

Introduction This article will be a deep guide for Beginners in Apache Oozie. Apache Oozie is a workflow scheduler system for managing Hadoop jobs. It enables users to plan and carry out complex data processing workflows while handling several tasks and operations throughout the Hadoop ecosystem. Users of Oozie can describe dependencies between various jobs […] The post Introduction to Apache Oozie appeared first on Analytics Vidhya.

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Wiiisdom Automates Analytics Operations for Trusted Analyses

David Menninger's Analyst Perspectives

Data analytics provide valuable insights and enable organizations to make better decisions, improve performance and gain a competitive advantage in the marketplace. Analytics can change frequently depending on the data being analyzed and the methods used to gather and process it. Factors such as new data, changes in the underlying systems or updates to algorithms can all contribute to differences in an analysis.

Analytics 130

More Trending

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What Is a Large Language Model, the Tech Behind ChatGPT?

Dataiku

The release of ChatGPT by OpenAI in December 2022 has drawn an incredible amount of attention. This curiosity extends from artificial intelligence in general to the class of technologies that underpins the AI chatbot in particular. These models, called large language models (LLMs), are capable of generating text on a seemingly endless range of topics.

Modeling 126
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CPU vs GPU: Why GPUs are More Suited for Deep Learning?

Analytics Vidhya

Introduction I am sure you all are familiar with CPU, but have you heard the term GPU? If your answer is no, then this article is for you! With the advancement in technology, the processing systems have also advanced much, so knowing the right technology at the right time is necessary for efficient usage. So […] The post CPU vs GPU: Why GPUs are More Suited for Deep Learning?

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Multi-label NLP: An Analysis of Class Imbalance and Loss Function Approaches

KDnuggets

In this comprehensive article, we have demonstrated that a seemingly simple task of multi-label text classification can be challenging when traditional methods are applied. We have proposed the use of distribution-balancing loss functions to tackle the issue of class imbalance.

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AI and automation will play an increasing role in technology

CIO Business Intelligence

By Ram Velaga, Senior Vice President and General Manager, Core Switching Group This article is a continuation of Broadcom’s blog series: 2023 Tech Trends That Transform IT. Stay tuned for future blogs that dive into the technology behind these trends from more of Broadcom’s industry-leading experts. It is clear that artificial intelligence, machine learning, and automation have been growing exponentially in use—across almost everything from smart consumer devices to robotics to cybersecurity to

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Leading the Development of Profitable and Sustainable Products

Speaker: Jason Tanner

While growth of software-enabled solutions generates momentum, growth alone is not enough to ensure sustainability. The probability of success dramatically improves with early planning for profitability. A sustainable business model contains a system of interrelated choices made not once but over time. Join this webinar for an iterative approach to ensuring solution, economic and relationship sustainability.

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Powering Efficient Data Prep & Effective MLOps: Dataiku + Snowflake

Dataiku

How can your organization practically and pervasively deploy innovative technology while still maintaining control? When you break it down, the answer is actually fairly simple: gaining topic literacy and choosing the right platform. Enhancing your technology stack while tapping into your preexisting knowledge base and unfettering expert talent to work on high-value projects will give your organization the flexibility and competitive edge needed to emerge ahead.

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Revolutionizing Document Processing Through DocVQA

Analytics Vidhya

Introduction DocVQA (Document Visual Question Answering) is a research field in computer vision and natural language processing that focuses on developing algorithms to answer questions related to the content of a document, like a scanned document or an image of a text document. Unlike other types of visual question answering, where the focus is on […] The post Revolutionizing Document Processing Through DocVQA appeared first on Analytics Vidhya.

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What Are The Downsides of AI Advancement?

KDnuggets

While AI has certainly several positive uses to offer the world, it’s also displaying harm when it comes to academics, cybersecurity, the environment, jobs, and privacy.

IT 116
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What an IT career will look like in 5 years

CIO Business Intelligence

While crystal ball technology is notoriously fallible, tech leaders say there are a handful of changes to IT work that we’ll likely see half a decade from now. IT pros will work in environments that are more task-based than position-based, experts say, relying more on automation and AI, and using tools that are increasingly portable yet powerful. At the same time, automation through AI in particular will need a human touch, to review processes and results, creating a need for soft skills in the

IT 119
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The Role of Data Products in Maximizing ROI from AI Initiatives

Stuck with stalled AI projects? Data silos and fragmented processes are likely culprits. This IDC report unveils Data Products as the secret weapon. By treating data as a product, organizations can overcome these challenges and unlock the true potential of AI. Learn how a unified data control plane empowers Data Products to deliver trusted, high-quality data for faster insights and improved decision-making.

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7 Products you can Build with JavaScript AI Libraries

Smart Data Collective

JavaScript has become a very important programming language since it was first developed in 1995. The programming language has become even more valuable in a world governed by artificial intelligence. A number of JavaScript programmers are developing AI applications for a variety of purposes. Va Barbosa, Ton A Ngo and their colleagues at IBM wrote an article on this topic titled An introduction to AI in Node.js.

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Detect Cyberbullying Using Topic Modeling and Sentiment Analysis

Analytics Vidhya

Introduction With the rise in internet penetration across the world, followed by the rapid growth of social media companies, users are increasingly using various social media platforms to interact and engage with other like-minded individuals and also follow their favourite celebrities and influencers. With the increased use of social media, there has been a significant […] The post Detect Cyberbullying Using Topic Modeling and Sentiment Analysis appeared first on Analytics Vidhya.

Modeling 310
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GPT-4: Everything You Need To Know

KDnuggets

A new model by OpenAI with improved natural language generation and understanding capabilities.

Modeling 154
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A CIO’s 10-part guide to personal branding

CIO Business Intelligence

In addition to showcasing your executive experience and accomplishments, effective and targeted personal branding can demonstrate thought leadership and expertise within specific domain areas, as well as make a statement about your core values, character, and attitude. It can also help you move roles, whether from an operational “keep the lights on” CIO position to a more forward-looking innovative one (or vice versa), or even a CDO, COO or CEO role.

B2B 117
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Embedding BI: Architectural Considerations and Technical Requirements

While data platforms, artificial intelligence (AI), machine learning (ML), and programming platforms have evolved to leverage big data and streaming data, the front-end user experience has not kept up. Holding onto old BI technology while everything else moves forward is holding back organizations. Traditional Business Intelligence (BI) aren’t built for modern data platforms and don’t work on modern architectures.

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Data is Risky Business: I Want My ChatGPT

TDAN

The world is a-buzz with articles about ChatGPT and other Large Learning Models such as Google’s Bard. The tone and tenor of these articles range from blind hype to abject horror. Some of the hype sounds like a bad paraphrase of Dire Straits: “Look at them losers, that’s the way you do it.

Modeling 100
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Impact of Machine Learning on HR in 2023

Analytics Vidhya

Introduction Since the last decade, technology has been an integral part of all businesses. It is now the most critical factor determining the success of all business operations. New-age technologies like artificial intelligence and machine learning help drive greater efficiency and productivity and improve other business metrics. Until 2021, the machine learning market was estimated […] The post Impact of Machine Learning on HR in 2023 appeared first on Analytics Vidhya.

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5 More Command Line Tools for Data Science

KDnuggets

Use these tools to Access API, Manipulate CSV files, download datasets, and more from your terminal.

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Building your own web application platform is locking you in

CIO Business Intelligence

Organizations have been transitioning away from legacy, monolithic platforms as these decades-old IT systems bog down management, flexibility, and agility with their tightly entangled components. CIOs have shifted toward building their own web application platforms with a set of best-in-class tools for more flexibility, customizations, and agile DevOps.

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Get Better Network Graphs & Save Analysts Time

Many organizations today are unlocking the power of their data by using graph databases to feed downstream analytics, enahance visualizations, and more. Yet, when different graph nodes represent the same entity, graphs get messy. Watch this essential video with Senzing CEO Jeff Jonas on how adding entity resolution to a graph database condenses network graphs to improve analytics and save your analysts time.

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Deepen Customer Insights With Machine Learning Segmentation

Dataiku

According to Capgemini Research Institute, 82% of bank executives report that their teams have difficulty identifying relevant customer segments — a huge problem that can drive up major acquisition costs and significantly reduce retention rates. Insightful customer segmentation is a critical cornerstone of effective business management, marketing, and product development within consumer banking.

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Difference Between ETL and ELT Pipelines

Analytics Vidhya

Introduction The data integration techniques ETL (Extract, Transform, Load) and ELT pipelines (Extract, Load, Transform) are both used to transfer data from one system to another. The information is taken from one or more data sources, transformed into a target system-compatible format, and then loaded into the target system as part of the ETL process. […] The post Difference Between ETL and ELT Pipelines appeared first on Analytics Vidhya.

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OpenChatKit: Open-Source ChatGPT Alternative

KDnuggets

OpenChatKit enables developers to fine-tune the model, maintain context in dialog, moderate responses, and effortlessly build their own custom chatbot applications.

Modeling 112
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Top 5 Security Trends for CIOs

CIO Business Intelligence

The post-pandemic reality. Macroeconomic turbulence. Explosive technology innovations. Generational shifts in technological expectations. All these forces and more drive rapid, often confusing change in organizations large and small. With every such change comes opportunity–for bad actors looking to game the system. Cybersecurity cannot stand still, or the waves of innovation will overrun the shores.

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How To Get Promoted In Product Management

Speaker: John Mansour

If you're looking to advance your career in product management, there are more options than just climbing the management ladder. Join our upcoming webinar to learn about highly rewarding career paths that don't involve management responsibilities. We'll cover both career tracks and provide tips on how to position yourself for success in the one that's right for you.

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Microsoft Azure OpenAI Service and DataRobot Modernize Data Science Work with Cutting-Edge Technology Innovations

DataRobot Blog

Over the last 12 years, I’ve been fortunate to explore what’s possible with AI through innovation, starting with graduate school at Cornell University, to building a company based on Eureqa algorithms, and leading a team of innovators at DataRobot. Since then, I’ve become increasingly motivated to take what I’ve learned over the years and push these boundaries even further.

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Applications of Machine Learning in Marketing in 2023

Analytics Vidhya

Introduction Machine Learning in marketing has altered the traditional way of marketing. According to Gartner, by 2023, leading organizations will employ machine learning in some aspects of their sales process. Businesses use machine learning to stay ahead of the competition by handling some of marketing’s most difficult obstacles, such as personalization, real-time customer assistance, and big […] The post Applications of Machine Learning in Marketing in 2023 appeared first on Analy

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9 Top Platforms to Practice Key Data Science Skills

KDnuggets

Which platforms would I recommend as a go-to for learning and practicing data science skills? The list would change every day, depending on my mood. Here’s today’s list with an overview of each platform.

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7 ways to help your neurodiverse team deliver its best work

CIO Business Intelligence

Technology work attracts neurodivergent people. So if you are leading a tech team, it’s likely that someone in your crew may be on the autism spectrum (ASD), be living with ADHD, or have an auditory processing disorder, learning disability, or other mental difference. Without the right accommodations, many neurodiverse professionals can struggle and, eventually, leave.

IT 104
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Beyond the Basics of A/B Tests: Highly Innovative Experimentation Tactics You Need to Know

Speaker: Timothy Chan, PhD., Head of Data Science

Are you ready to move beyond the basics and take a deep dive into the cutting-edge techniques that are reshaping the landscape of experimentation? 🌐 From Sequential Testing to Multi-Armed Bandits, Switchback Experiments to Stratified Sampling, Timothy Chan, Data Science Lead, is here to unravel the mysteries of these powerful methodologies that are revolutionizing how we approach testing.