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Sigmoid Function: Derivative and Working Mechanism

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction In deep learning, the activation functions are one of the essential parameters in training and building a deep learning model that makes accurate predictions.

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AI adoption in the enterprise 2020

O'Reilly on Data

Supervised learning is the most popular ML technique among mature AI adopters, while deep learning is the most popular technique among organizations that are still evaluating AI. By contrast, AI adopters are about one-third more likely to cite problems with missing or inconsistent data.

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Deep Learning is Critical for Modern Small Business Accounting

Smart Data Collective

Deep learning technology is changing the future of small businesses around the world. A growing number of small businesses are using deep learning technology to address some of their most pressing challenges. New advances in deep learning are integrated into various accounting algorithms.

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The unreasonable importance of data preparation

O'Reilly on Data

You may picture data scientists building machine learning models all day, but the common trope that they spend 80% of their time on data preparation is closer to the truth. This definition of low-quality data defines quality as a function of how much work is required to get the data into an analysis-ready form.

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The quest for high-quality data

O'Reilly on Data

As model building become easier, the problem of high-quality data becomes more evident than ever. Even with advances in building robust models, the reality is that noisy data and incomplete data remain the biggest hurdles to effective end-to-end solutions. Data integration and cleaning.

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The DataOps Vendor Landscape, 2021

DataKitchen

RightData – A self-service suite of applications that help you achieve Data Quality Assurance, Data Integrity Audit and Continuous Data Quality Control with automated validation and reconciliation capabilities. QuerySurge – Continuously detect data issues in your delivery pipelines. Data breaks.

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Beyond the hype: Do you really need an LLM for your data?

CIO Business Intelligence

From automating tedious tasks to unlocking insights from unstructured data, the potential seems limitless. Think about it: LLMs like GPT-3 are incredibly complex deep learning models trained on massive datasets. It also means establishing clear data governance frameworks to ensure data quality, security and ethical use.