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

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Data Science Bows Before Prompt Engineering and Few Shot Learning 

insideBIGDATA

In this contributed article, editorial consultant Jelani Harper takes a new look at the GPT phenomenon by exploring how prompt engineering (stores, databases) coupled with few shot learning can constitute a significant adjunct to traditional data science.

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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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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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Praxisbeispiel: Data Science im Controlling

Data Science Blog

Fristgerecht bezahlen oder Skontoeffekte nutzen? Wie Sie mit Data Science Ihre Zahlungsläufe intelligent gestalten. Die Fragestellung : Die Geschäftsführung eines Unternehmens wollte den optimalen Zeitpunkt herausfinden, zu dem offene Verbindlichkeiten beglichen werden sollten. Im Fokus stand die Frage, ob Rechnungen zum vereinbarten Zahlungsdatum bezahlt werden sollten oder ob im Fall einer Skontogewährung eine vorzeitige Bezahlung lukrativer wäre, um mögliche Rabatteffekte zu nutzen.

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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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How to Fix Blockchain’s Missing Link to Cross the Data Chasm

insideBIGDATA

In this contributed article, Toby Mills, CEO of Entopy, looks at the trend for organizations to turn to technologies such as artificial intelligence and blockchain in an attempt to find a ‘silver bullet’ to unlock the next wave of business transformation.

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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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The best advice I never got (for a technical career)

Cassie Kozyrkov

Motivation and career insights I wish I hadn’t had to work out for myself Continue reading on Medium »

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Get started with new role-based onboarding trainings for Databricks Lakehouse Platform

databricks

The demand for data, analytics, and AI talent continues to grow as organizations in every industry adopt new technologies to become more efficient.

Analytics 256
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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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GPT-4: Everything You Need To Know

KDnuggets

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

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Understanding User Needs and Satisfying Them

Speaker: Scott Sehlhorst

We know we want to create products which our customers find to be valuable. Whether we label it as customer-centric or product-led depends on how long we've been doing product management. There are three challenges we face when doing this. The obvious challenge is figuring out what our users need; the non-obvious challenges are in creating a shared understanding of those needs and in sensing if what we're doing is meeting those needs.

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Tracing the evolution of a revolutionary idea: GPT-4 and multimodal AI

Dataconomy

What is multimodal AI? It’s a question we hear often these days, isn’t it? Whether during lunch breaks, in office chat groups, or while chatting with friends in the evening, it seems that everyone is abuzz with talk of GPT-4.

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Eight Graphs that Explain Software Engineering Salaries in 2023

Flipboard

Every year, online job search firms collect data about the salaries, skills, and overall job market for tech professionals, generally focusing on software engineers The numbers from job search firms Dice and Hired have been released. These 2022 numbers have been eagerly anticipated, given the turmoil generated by a spate of tech layoffs in latter part of the year that Dice estimates at more than 140,000.

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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.

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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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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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GPT-4

Hacker News

We’ve created GPT-4, the latest milestone in OpenAI’s effort in scaling up deep learning. GPT-4 is a large multimodal model (accepting image and text inputs, emitting text outputs) that, while worse than humans in many real-world scenarios, exhibits human-level performance on various professional and academic benchmarks.

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Denied by AI: How Medicare Advantage plans use algorithms to cut off care for seniors in need

Flipboard

An algorithm, not a doctor, predicted a rapid recovery for Frances Walter, an 85-year-old Wisconsin woman with a shattered left shoulder and an allergy to pain medicine. In 16.6 days, it estimated, she would be ready to leave her nursing home. On the 17th day, her Medicare Advantage insurer, Security Health Plan, followed the algorithm and cut off payment for her care, concluding she was ready to return to the apartment where she lived alone.

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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.

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Manufacturing Sustainability Surge: Your Guide to Data-Driven Energy Optimization & Decarbonization

Speaker: Kevin Kai Wong, President of Emergent Energy Solutions

In today's industrial landscape, the pursuit of sustainable energy optimization and decarbonization has become paramount. Manufacturing corporations across the U.S. are facing the urgent need to align with decarbonization goals while enhancing efficiency and productivity. Unfortunately, the lack of comprehensive energy data poses a significant challenge for manufacturing managers striving to meet their targets.

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Two U.S. Men Charged in 2022 Hacking of DEA Portal

Hacker News

Two U.S. men have been charged with hacking into a U.S. Drug Enforcement Agency (DEA) online portal that taps into 16 different federal law enforcement databases. Both are alleged to be part of a larger criminal organization that specializes in using fake emergency data requests from compromised police and government email accounts to publicly threaten and extort their victims.

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Text Generation with LSTM in PyTorch

Flipboard

Recurrent neural network can be used for time series prediction. In which, a regression neural network is created. It can also be used as generative model, which usually is a classification neural network model. A generative model is to learn certain pattern from data, such that when it is presented with some prompt, it can […] The post Text Generation with LSTM in PyTorch appeared first on MachineLearningMastery.com.

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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.

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Top Machine Learning Papers to Read in 2023

KDnuggets

These curated papers would step up your machine-learning knowledge.

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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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Believe it or not, the Amish are loving electric bikes

Hacker News

Electric bicycles have been finding favor in a growing number of communities. From hunters to surfers and even soldiers , e-bikes and their low-cost, far-reaching transportation options have permeated a surprising number of different groups and use cases. The latest community adopting e-bikes en masse may be even more of a surprise: the Amish. more… The post Believe it or not, the Amish are loving electric bikes appeared first on Electrek.

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I’m an ER doctor: Here’s what I found when I asked ChatGPT to diagnose my patients

Flipboard

ChatGPT recently passed the U.S. Medical Licensing Exam, but using it for a real-world medical diagnosis would quickly turn deadly. With news that ChatGPT successfully “passed” the U.S. Medical Licensing Exam, I was curious how it would perform in a real-world medical situation.

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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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NoSQL Databases and Their Use Cases

KDnuggets

Learn about NoSQL Databases and their types like key-value, document, graph and column family with their use cases.

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From Developer Experience to Product Experience: How a Shared Focus Fuels Product Success

Speaker: Anne Steiner and David Laribee

As a concept, Developer Experience (DX) has gained significant attention in the tech industry. It emphasizes engineers’ efficiency and satisfaction during the product development process. As product managers, we need to understand how a good DX can contribute not only to the well-being of our development teams but also to the broader objectives of product success and customer satisfaction.

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Conformer-1: A robust speech recognition model trained on 650K hours of data

AssemblyAI

To do this, we introduce a number of modifications to the original Conformer architecture. For example, our Conformer-1 is built on top of the Efficient Conformer [ 3 ], a modification of the original Conformer architecture that introduces the following technical modifications: Progressive Downsampling – A progressive reduction scheme for the length of the encoded sequence, inspired by ContextNet [ 4 ].

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‘We are a little bit scared’: OpenAI CEO warns of risks of artificial intelligence

Flipboard

Sam Altman, CEO of OpenAI, the company that developed the controversial consumer-facing artificial intelligence application ChatGPT, has warned that the technology comes with real dangers as it reshapes society.

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Everything you Need to Know About ChatGPT

Analytics Vidhya

Introduction “For those new to ChatGPT, think of it like Wikipedia, but on the exact question you want to know. This includes maths problems, programming, and so much more.” ~Dave Waters “Hey, Alexa!” “Hello, Google!” “Hi, Siri!” Now, what do all these have in common? Yes, you guessed it right! They are all AI-based virtual […] The post Everything you Need to Know About ChatGPT appeared first on Analytics Vidhya.

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OpenAI Delivers Summary of GPT-4’s Abilities

ODSC - Open Data Science

OpenAI has announced that GPT-4 is currently in development, and while there are no official release dates, there is plenty of excitement surrounding what this latest iteration of the GPT series may be capable of. Currently, it will be made available to ChatGPT Plus users and as an API for developers to build applications and services according to OpenAI’s announcement.

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How to Build an Experimentation Culture for Data-Driven Product Development

Speaker: Margaret-Ann Seger, Head of Product, Statsig

Experimentation is often seen as an aspirational practice, especially at smaller, fast-moving companies who are strapped for time and resources. So, how can you get your team making decisions in a more data-driven way while continuing to remain lean and maintaining ship velocity? In this webinar, Margaret-Ann Seger, Head of Product at Statsig, will teach you how to build an experimentation culture from the ground-up, graduating from just getting started with data-driven development to operating