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

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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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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 260
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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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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.

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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 338
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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

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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 127
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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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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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The Path to Product Excellence: Avoiding Common Pitfalls and Enhancing Communication

Speaker: David Bard, Principal at VP Product Coaching

In the fast-paced world of digital innovation, success is often accompanied by a multitude of challenges - like the pitfalls lurking at every turn, threatening to derail the most promising projects. But fret not, this webinar is your key to effective product development! Join us for an enlightening session to empower you to lead your team to greater heights.

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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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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 339
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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 120
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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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Peak Performance: Continuous Testing & Evaluation of LLM-Based Applications

Speaker: Aarushi Kansal, AI Leader & Author and Tony Karrer, Founder & CTO at Aggregage

Software leaders who are building applications based on Large Language Models (LLMs) often find it a challenge to achieve reliability. It’s no surprise given the non-deterministic nature of LLMs. To effectively create reliable LLM-based (often with RAG) applications, extensive testing and evaluation processes are crucial. This often ends up involving meticulous adjustments to prompts.

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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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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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GPT-4: Everything You Need To Know

KDnuggets

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

Modeling 157
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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 119
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Entity Resolution Checklist: What to Consider When Evaluating Options

Are you trying to decide which entity resolution capabilities you need? It can be confusing to determine which features are most important for your project. And sometimes key features are overlooked. Get the Entity Resolution Evaluation Checklist to make sure you’ve thought of everything to make your project a success! The list was created by Senzing’s team of leading entity resolution experts, based on their real-world experience.

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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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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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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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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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Strategic CX: A Deep Dive into Voice of the Customer Insights for Clarity

Speaker: Nicholas Zeisler, CX Strategist & Fractional CXO

The first step in a successful Customer Experience endeavor (or for that matter, any business proposition) is to find out what’s wrong. If you can’t identify it, you can’t fix it! 💡 That’s where the Voice of the Customer (VoC) comes in. Today, far too many brands do VoC simply because that’s what they think they’re supposed to do; that’s what all their competitors do.

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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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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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Driving Business Impact for PMs

Speaker: Jon Harmer, Product Manager for Google Cloud

Move from feature factory to customer outcomes and drive impact in your business! This session will provide you with a comprehensive set of tools to help you develop impactful products by shifting from output-based thinking to outcome-based thinking. You will deepen your understanding of your customers and their needs as well as identifying and de-risking the different kinds of hypotheses built into your roadmap.

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What is a Data Clean Room?

TDAN

As data programs accelerate their capabilities to tap into insights, the rights of the consumer and their privacy are racing counter. We’ve long had to contend with the balance of how to best use data throughout its lifecycle and build processes. The more recent innovation? The ability to rapidly pivot, experiment, and learn.

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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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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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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 105
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Reimagined: Building Products with Generative AI

“Reimagined: Building Products with Generative AI” is an extensive guide for integrating generative AI into product strategy and careers featuring over 150 real-world examples, 30 case studies, and 20+ frameworks, and endorsed by over 20 leading AI and product executives, inventors, entrepreneurs, and researchers.