Fri.Oct 06, 2023

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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.

Modeling 349
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The Buyers Guide for Augmented Analytics Classifies and Rates Vendors

David Menninger's Analyst Perspectives

I am happy to share insights gleaned from our latest Buyers Guide, an assessment of how well vendors’ offerings meet buyers’ requirements. The Ventana Research 2023 Augmented Analytics Buyers Guide is the distillation of a year of market and product research by Ventana Research. Drawing on our Benchmark Research, we apply a structured methodology built on evaluation categories that reflect the real-world criteria incorporated in a request for proposal to Analytics and Data vendors supporting the

Analytics 285
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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.

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Salesforce IT injects generative AI to ease its massive datacenter migration

CIO Business Intelligence

When you’re tasked with migrating 200,000 servers to a new operating system, a helping hand is very welcome indeed. That’s why SaaS giant Salesforce, in migrating its entire data center from CentOS to Red Hat Enterprise Linux, has turned to generative AI — not only to help with the migration but to drive the real-time automation of this new infrastructure.

IT 140
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5 Ways You Can Win Faster with Gen AI in Sales

Incorporating generative AI (gen AI) into your sales process can speed up your wins through improved efficiency, personalized customer interactions, and better informed decision- making. Gen AI is a game changer for busy salespeople and can reduce time-consuming tasks, such as customer research, note-taking, and writing emails, and provide insightful data analysis and recommendations.

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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.

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Elevate Your Search Engine Skills with Uplimit’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!

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3 Data Science Projects Guaranteed to Land You That Job

KDnuggets

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

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Take control of your Oracle unlimited licensing agreement

CIO Business Intelligence

Have you ever met an Oracle customer who happily pays the company’s fees for software support? Neither have we. But too few really understand how beneficial—and painless—breaking up with Oracle Database support can be. Databases require a great deal of care and feeding and if not properly maintained, small problems can eventually grow into major issues.

ROI 124
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Data Visualization: Presenting Complex Information Effectively

KDnuggets

Learn how to present complex information effectively with data visualization.

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Managing Seasonal Fluctuations in Retail with Analytics

Smart Data Collective

Data analytics technology has helped retail companies optimize their business models in a number of ways. One of the biggest benefits of data analytics is that it helps companies improve stability during times of uncertainty. There are inevitable ups and downs that every industry experiences, and recognizing these ebbs and flows can fundamentally impact your business.

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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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Unveiling Hidden Patterns: An Introduction to Hierarchical Clustering

KDnuggets

In this guide to hierarchical clustering, learn how agglomerative and divisive clustering algorithms work. Also build a hierarchical clustering model in Python using Scipy.

Modeling 107
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Takeaways from NLP for Sustainable Finance (NLP4SF)

Dataiku

In July 2023, the Natural Language Processing for Sustainable Finance research group — NLP4SF — held its launch, and I had the privilege of attending. The program is a collaboration between the University of Zurich and Oxford University, and focuses on how natural language processing (NLP) can help finance professionals better understand the new risks posed by climate change and more effectively integrate these within their decision-making.

Finance 64
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Three Types of Actionable Business Analytics Not Called Predictive or Prescriptive

Rocket-Powered Data Science

Decades (at least) of business analytics writings have focused on the power, perspicacity, value, and validity in deploying predictive and prescriptive analytics for business forecasting and optimization, respectively. These are primarily forward-looking actionable (proactive) applications. There are other dimensions of analytics that tend to focus on hindsight for business reporting and causal analysis – these are descriptive and diagnostic analytics, respectively, which are primarily rea