Fri.Dec 23, 2022

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Introduction to Synthetic Control Using Propensity Score Matching

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Ever wondered what would be the conversion drop and consequent sales drop(conversion is when someone buys a product) for eCommerce companies or payment aggregators if Debit and Credit cards are dropped from the payment page? But why is this experiment needed, if […].

Sales 271
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Master Metrics with Kyligence Zen

David Menninger's Analyst Perspectives

Analytics processes are all about how organizations use data to create metrics that help manage and improve operations. Yet, the discipline applied to analytics processes seems to be lacking compared to data processes. I’ve pointed out that the weak link in data governance is often analytics. Organizations can also do a better job tying AnalyticOps to DataOps and do more to define and manage metrics.

Metrics 144
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Visualize Your Data With Google Looker Studio

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Source: [link] Introduction In today’s digital world, data is generated at a swift pace. Data in itself is not useful unless we present it in a meaningful way and derive insights that help in making key business decisions. Business Intelligence (BI) tools serve the […]. The post Visualize Your Data With Google Looker Studio appeared first on Analytics Vidhya.

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The Importance of Permutation in Neural Network Predictions

KDnuggets

Permutation plays a significant role in making neural networks work as expected and showing whether they provide valid results. Explore how it affects neural network predictions now.

IT 108
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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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5 Big Data Storage Solutions

Smart Data Collective

Data is valuable to businesses of all sizes. Companies can use big data to assess performance, pinpoint problems, and identify opportunities. Businesses can also leverage big data to support machine learning by training AI and sophisticated models. Although big data can be advantageous, the sheer volume of computer power and software services needed to support big data initiatives can impose a serious burden.

Big Data 107
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Top KDnuggets Post of 2022: Is Data Science a Dying Career?

KDnuggets

Also: The Complete Collection of Data Science Cheat Sheets • 15 Python Coding Interview Questions You Must Know For Data Science • Free Python for Data Science Course • The High Paying Side Hustles for Data Scientists • Vanishing Gradient Problem, Explained.

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State of AI Report 2022: Be Prepared for Next Year

KDnuggets

Free learning material to prepare you for the world of AI in 2023.

Reporting 116