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ALBERT Model for Self-Supervised Learning

Analytics Vidhya

Later in 2019, the researchers proposed the ALBERT (“A Lite BERT”) model for self-supervised learning of language representations, which shares the same architectural backbone as BERT. The post ALBERT Model for Self-Supervised Learning appeared first on Analytics Vidhya. The key […].

Modeling 293
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Regime Shift Models – A Fascinating Use Case of Time Series Modeling

Analytics Vidhya

She is one of the eminent speakers at DataHack Summit 2019, where she will be talking about. The post Regime Shift Models – A Fascinating Use Case of Time Series Modeling appeared first on Analytics Vidhya. This article is written by Sonam Srivastava.

Modeling 217
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Life2vec AI Can Accurately Predict Your Death!

Analytics Vidhya

Life2vec, a neural network model, is at the forefront of predictive medicine, leveraging AI to analyze health data and forecast health-related outcomes. This revolutionary model, an extension of Stanford’s Word2vec algorithm from 2019, has shown significant promise in transforming healthcare.

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Highlights from the Strata Data Conference in London 2019

O'Reilly on Data

Chris Taggart explains the benefits of white box data and outlines the structural shifts that are moving the data world toward this model. Watch " Privacy, identity, and autonomy in the age of big data and AI.". --> Continue reading Highlights from the Strata Data Conference in London 2019. Watch " The enterprise data cloud.".

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Data Science Papers – Summer 2019 edition

Data Science 101

Cloud Programming Simplified: A Berkeley View on Serverless Computing (2019) – Serverless computing is very popular nowadays and this article covers some of the limitations.

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Highlights from TensorFlow World in Santa Clara, California 2019

O'Reilly on Data

Watch “ Personalization of Spotify Home and TensorFlow “ TensorFlow Hub: The platform to share and discover pretrained models for TensorFlow. Mike Liang discusses TensorFlow Hub, a platform where developers can share and discover pretrained models and benefit from transfer learning.

IoT 190
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How to build a decision tree model in IBM Db2

IBM Big Data Hub

After developing a machine learning model, you need a place to run your model and serve predictions. If your company is in the early stage of its AI journey or has budget constraints, you may struggle to find a deployment system for your model. Also, a column in the dataset indicates if each flight had arrived on time or late.