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Highlights from the Strata Data Conference in New York 2018

O'Reilly on Data

Watch " Black box: How AI will amplify the best and worst of humanity.". --> Continue reading Highlights from the Strata Data Conference in New York 2018. Jacob Ward reveals the relationship between the unconscious habits of our minds and the way that AI is poised to amplify them, alter them, maybe even reprogram them.

IoT 221
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5 key areas for tech leaders to watch in 2020

O'Reilly on Data

Growth is still strong for such a large topic, but usage slowed in 2018 (+13%) and cooled significantly in 2019, growing by just 7%. But sustained interest in cloud migrations—usage was up almost 10% in 2019, on top of 30% in 2018—gets at another important emerging trend. ML + AI are up, but passions have cooled. Security is surging.

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6 trends framing the state of AI and ML

O'Reilly on Data

Deep learning cooled slightly in 2019, slipping 10% relative to 2018, but deep learning still accounted for 22% of all AI/ML usage. PyTorch looks like a contender: it posted triple-digit growth in usage share rates in both 2018 and 2019. For example, the chatbots topic continues to decline, first by 17% in 2018 and by 34% in 2019.

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An Introduction to BigBird

Analytics Vidhya

Source: Canva|Arxiv Introduction In 2018 GoogleAI researchers developed Bidirectional Encoder Representations from Transformers (BERT) for various NLP tasks. This article was published as a part of the Data Science Blogathon.

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Introduction to DistilBERT in Student Model

Analytics Vidhya

Source: Canva Introduction In 2018, GoogleAI researchers released the BERT model. This article was published as a part of the Data Science Blogathon. It was a fantastic work that brought a revolution in the NLP domain. However, the BERT model did have some drawbacks i.e. it was bulky and hence a little slow. To navigate […].

Modeling 373
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Text Classification using BERT and TensorFlow

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Introduction In 2018, a powerful Transformer-based machine learning model, namely, BERT was developed by Jacob Devlin and his colleagues from Google for NLP applications.

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Different Types of Cloud-based Services

Analytics Vidhya

According to the IDC report, the world will spend $160 billion on cloud services and infrastructure in 2018. Introduction Cloud computing is one of the fastest-growing IT technologies today. By 2025, 83% of enterprise workloads will be in the cloud. The cloud encompasses a […].