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AutoML – A No Code Solution for Building Machine Learning Models

Analytics Vidhya

Introduction AutoML is also known as Automatic Machine Learning. In the year 2018, Google launched cloud AutoML which gained a lot of interest and is one of the most significant tools in the field of Machine Learning and Artificial Intelligence.

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Machine Learning & Data Analysts: Seizing the Opportunity in 2018

Dataconomy

Undoubtedly, 2017 has been yet another hype year for machine learning (ML) and artificial intelligence (AI). The post Machine Learning & Data Analysts: Seizing the Opportunity in 2018 appeared first on Dataconomy. Yes, it’s true – enterprises worldwide have.

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Announcing DataHack Summit 2019 – The Biggest Artificial Intelligence and Machine Learning Conference Yet

Analytics Vidhya

DataHack Summit 2019 Bringing Together Futurists to Achieve Super Intelligence DataHack Summit 2018 was a grand success with more than 1,000 attendees from various. The post Announcing DataHack Summit 2019 – The Biggest Artificial Intelligence and Machine Learning Conference Yet appeared first on Analytics Vidhya.

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The most important unanswered questions of 2018 in Artificial Intelligence (AI) and Machine Learning (ML)

Dataconomy

Here is what a recent whitepaper by Dataiku reveals about Artificial intelligence and machine learning emphasising on the role of data scientists. This is the first part of an article series based on a whitepaper by Dataiku) The year 2018 was supposed to be the one. Let’s find out.

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Machine Learning to Mineral Tracking: The 4 Best Data Startups From CUBE Tech Fair 2018

Dataconomy

Great tech events often feature a stunt or two that attendees will be talking about long after the conference hall has closed its doors; on this front, CUBE Tech Fair 2018 certainly delivered. The post Machine Learning to Mineral Tracking: The 4 Best Data Startups From CUBE Tech Fair 2018 appeared first on Dataconomy.

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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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How machine learning can drive retail success

Dataconomy

Bricks and mortar retailers would sooner forget 2018. bankruptcies, The post How machine learning can drive retail success appeared first on Dataconomy. The year that brought 16 U.S.