Sat.Sep 30, 2023 - Fri.Oct 06, 2023

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5 Free Platforms for Building a Strong Data Science Portfolio

KDnuggets

Build an irresistible portfolio that hooks recruiters with these 5 free platforms - you won't believe how easy it is!

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The 6 best ChatGPT plugins for data scienceĀ 

Data Science Dojo

ChatGPT made a significant market entrance, shattering records by swiftly reaching 100 million monthly active users in just two months. Its trajectory has since been on a consistent growth. Notably, ChatGPT has embraced a range of plugins that extend its capabilities, enabling users to do more than merely generate textual responses. What are ChatGPT Plugins?

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Capital Oneā€™s New Forrester Study Reveals Key Challenges Data Leaders Face Deploying Self-service Data Strategies

insideBIGDATA

Capital One Software released a new commissioned study, "Leverage Self-service Data Strategies to Drive Business Value," by Forrester Consulting that reveals the biggest challenges data leaders face when implementing a self-service data strategy across their organization.

Big Data 418
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Mastering Transfer Learning: A Rock-Paper-Scissors Case Study

Analytics Vidhya

Introduction In the world of artificial intelligence, imagine a learning technique that enables machines to build upon their existing knowledge and tackle new challenges with expertise. This unique technique is called transfer learning. In recent years, we’ve witnessed an expansion in the capabilities and applications of generative models. We can use transfer learning to simplify […] The post Mastering Transfer Learning: A Rock-Paper-Scissors Case Study appeared first on Analytics Vi

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Navigating the Future: Generative AI, Application Analytics, and Data

Generative AI is upending the way product developers & end-users alike are interacting with data. Despite the potential of AI, many are left with questions about the future of product development: How will AI impact my business and contribute to its success? What can product managers and developers expect in the future with the widespread adoption of AI?

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Elevate Your Search Engine Skills with Uplimitā€™s Search with ML Course!

KDnuggets

Elevate Your Search Engine Skills! Join Uplimit's SearchML Course now for a 4-week deep dive into machine learning and search. Boost rankings, enhance retrieval, and build with OpenSearch. Enroll today and level up with expert guidance!

ML 322
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Do large language models have high toxic probabilities?

Data Science Dojo

Unlocking the potential of large language models like GPT-4 reveals a Pandora’s box of privacy concerns. Unintended data leaks sound the alarm, demanding stricter privacy measures. Generative Artificial Intelligence (AI) has garnered significant interest, with users considering its application in critical domains such as financial planning and medical advice.

More Trending

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Introduction to HNSW: Hierarchical Navigable Small World

Analytics Vidhya

Introduction AI innovation is happening at breakneck speed. One of the frontiers of this innovation is the vector search engines. What are these search engines, you ask? In simple terms, they help in training large language models (LLMs) by going through large datasets and picking out what’s relevant. Now, there are many different ways in […] The post Introduction to HNSW: Hierarchical Navigable Small World appeared first on Analytics Vidhya.

Analytics 318
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Getting Started with Google Cloud Platform in 5 Steps

KDnuggets

Explore the essentials of Google Cloud Platform for data science and ML, from account setup to model deployment, with hands-on project examples.

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AI Bias: Good intentions can lead to nasty results

Cassie Kozyrkov

Why fairness through unawareness is a pretty idea with ugly consequences Continue reading on Towards Data Science Ā»

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SAP: Why Modern Software Needs A ā€˜Clean Coreā€™

Adrian Bridgwater for Forbes

Enterprise software systems are typically known for their base functionality layers, on top of which customers often want to make skews & nuanced customizations.

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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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Top 5 Data Analytics Certifications

Analytics Vidhya

Introduction In our era of data supremacy, the ability to decipher the language of numbers and extract meaningful insights has never been more valuable. Data analytics has transcended being just a buzzword; it has become an indispensable tool across industries, steering businesses toward success and innovation. A Data Analytics Certification is your compass to stand […] The post Top 5 Data Analytics Certifications appeared first on Analytics Vidhya.

Analytics 315
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The Quest for Model Confidence: Can You Trust a Black Box?

KDnuggets

This article explores strategies for evaluating the reliability of labels generated by Large Language Models (LLMs). It discusses the effectiveness of different approaches and offers practical insights for various applications.

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Unveiling the Estes Express Lines Cyber Attack

Dataconomy

Estes Express Lines cyber attack makes headlines today. In the heart of America’s bustling logistics landscape, where every second counts, a quiet yet relentless battle rages on. On October 3rd, Estes Express Lines, a titan in the transportation industry, stood at the forefront of this cyber battleground, confirming that it had fallen prey to a relentless cyberattack.

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Genetics firm 23andMe says user data stolen in credential stuffing attack

Hacker News

23andMe has confirmed to BleepingComputer that it is aware of user data from its platform circulating on hacker forums and attributes the leak to a credential-stuffing attack. [.

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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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How to Use Midjourney AI?

Analytics Vidhya

Introduction The allure of image-generating AI has surged. With the ability to give life to any type of imagination, AI has gained popularity among business people as well as in education. One such AI wizardry is exhibited by Midjourney AI. It translates text prompts into captivating AI-generated images. Here is a tutorial guiding you to […] The post How to Use Midjourney AI?

AI 306
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3 Data Science Projects Guaranteed to Land You That Job

KDnuggets

Imagine youā€™re allowed to do only three data science projects. Which should you choose to guarantee you get the job? Hereā€™s my choice!

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Google Assistant with Bard is coming for Android and iOS devices

Dataconomy

Google Assistant with Bard is one of the most important innovations among the other ones announced at the Made By Google event , and here is everything you need to know about it! Google has just unveiled a groundbreaking addition to its virtual assistant arsenal: “Assistant with Bard.” This exciting feature, introduced alongside the Pixel 8 and Pixel 8 Pro, is poised to change the way we interact with our smartphones, promising Android and iOS users an enhanced and more personalized

AI 202
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OpenAI said to be considering developing its own AI chips

Flipboard

OpenAI, one of the best-funded AI startups in business, is exploring making its own AI chips. Discussions of AI chip strategies within the company have been ongoing since at least last year, according to Reuters, as the shortage of chips to train AI models worsens.

AI 181
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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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Building Invoice Extraction Bot using LangChain and LLM

Analytics Vidhya

Introduction Before the large language models era, extracting invoices was a tedious task. For invoice extraction, one has to gather data, build a document search machine learning model, model fine-tuning etc. The introduction of Generative AI took all of us by storm and many things were simplified using the LLM model. The large language model […] The post Building Invoice Extraction Bot using LangChain and LLM appeared first on Analytics Vidhya.

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How Close Are We to AGI?

KDnuggets

Will AI be able to surpass human intelligence? An article going through the current progression, and challenges of AGI.

AI 324
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Energy management in manufacturing: Tends, innovations and modern solutions

Dataconomy

Faced with an irreversible energy transition in line with climate policy, the need to reduce emissions, and increasing regulation, the industrial sector is under intense pressure to implement change. On this topic, we speak with Jakub Kaczyński, an expert in digital solutions for industry from Transition Technologies PSC. You have been involved in Industry 4.0, and the Industrial Internet of Things (IIoT) for more than 10 years, what is the biggest challenge for manufacturing companies?

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Generative AI Is a Disaster, and Companies Donā€™t Seem to Really Care

Flipboard

In their push for AI-generated content, tech companies are dancing on the edge between f **g around and finding out. Tech companies continue to insist that AI-generated content is the future as they release more trendy chatbots and image-generating tools.

AI 181
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How Embedded Analytics Gets You to Market Faster with a SAAS Offering

Start-ups & SMBs launching products quickly must bundle dashboards, reports, & self-service analytics into apps. Customers expect rapid value from your product (time-to-value), data security, and access to advanced capabilities. Traditional Business Intelligence (BI) tools can provide valuable data analysis capabilities, but they have a barrier to entry that can stop small and midsize businesses from capitalizing on them.

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Introduction of Microsoft Fabric

Analytics Vidhya

In today’s rapidly evolving digital landscape, seamless data, applications, and device integration are more pressing than ever. Enter Microsoft Fabric, a cutting-edge solution designed to revolutionize how we interact with technology. This article will explore the key features and benefits, identify the ideal users for this solution, and guide you on when and how to […] The post Introduction of Microsoft Fabric appeared first on Analytics Vidhya.

Analytics 309
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The Top 5 Data Management Tools For Your Projects

KDnuggets

See what KDnuggets is recommending for the top 5 cutting-edge tools for cloud, ETL, transformation, master data management, and visualization.

ETL 292
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Energy management in manufacturing: Trends, innovations and modern solutions

Dataconomy

Faced with an irreversible energy transition in line with climate policy, the need to reduce emissions, and increasing regulation, the industrial sector is under intense pressure to implement change. On this topic, we speak with Jakub Kaczyński, an expert in digital solutions for industry from Transition Technologies PSC. You have been involved in Industry 4.0, and the Industrial Internet of Things (IIoT) for more than 10 years, what is the biggest challenge for manufacturing companies?

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AI Designs Unique Walking Robot in Seconds - Neuroscience News

Flipboard

Pioneering artificial intelligence (AI) has astoundingly synthesized the design of a functional walking robot in a matter of seconds, illustrating a rapid-fire evolution in stark contrast to nature's billion-year journey.

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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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Is Python Ray the Fast Lane to Distributed Computing?

Analytics Vidhya

Python Ray is a dynamic framework revolutionizing distributed computing. Developed by UC Berkeley’s RISELab, it simplifies parallel and distributed Python applications. Ray streamlines complex tasks for ML engineers, data scientists, and developers. Its versatility spans data processing, model training, hyperparameter tuning, deployment, and reinforcement learning.

Python 307
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KDnuggets News, October 5: 5 Free Books to Help You Master Python ā€¢ Top 7 Free Cloud Notebooks for Data Science

KDnuggets

This week on KDnuggets: 5 Free Books to Help You Master Python ā€¢ Top 7 Free Cloud Notebooks for Data ā€¢ and much, much more!

Python 304
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Andisearch AI feels like the marriage of Google and ChatGPT

Dataconomy

Andisearch AI is not just another search engine; it’s a chatbot designed to assist users in their online quests for knowledge. By performing real-time data and semantic search, Andisearch AI delivers results in a user-friendly, conversational manner. Thanks to the advancements in AI and language processing, this tool can adeptly address your inquiries across a multitude of subjects.

AI 195
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Pythagorean Theorem found on clay tablet 1k years older than Pythagoras

Hacker News

Everyone who has studied geometry can recall, well after the high school years, some aspect of the Pythagorean Theorem. However, the story of Pythagoras and his famous theorem is not well known. Some of the plot points of the story are presented in this article. The famous theorem goes by several names, some grounded in the behavior of the day, including the Pythagorean Theorem, Pythagoras’ Theorem and notably Euclid I 47.

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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 engineersā€™ 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.