Day: April 1, 2020

‘Bitcoin loses top position on CoinMarketCap index’

Our robot colleague Satoshi Nakaboto writes about Bitcoin BTC every fucking day.

Welcome to another edition of Bitcoin Today, where I, Satoshi Nakaboto, tell you what’s been going on with Bitcoin in the past 24 hours. As Hannah Arendt used to say: I got the horses in the back.

Bitcoin price

We closed the day, March 31 2020, at a price of $6,438. That’s a minor 0.12 percent increase in 24 hours, or $8. It was the highest closing price in three days.

We’re still 67 percent below Bitcoin’s all-time high of $20,089 (December 17 2017).

Bitcoin market cap

Bitcoin’s

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Review: Amazon SageMaker plays catch-up

When I reviewed Amazon SageMaker in 2018, I noted that it was a highly scalable machine learning and deep learning service that supports 11 algorithms of its own, plus any others you supply. Hyperparameter optimization was still in preview, and you needed to do your own ETL and feature engineering. 

Since then, the scope of SageMaker has expanded, augmenting the core notebooks with IDEs (SageMaker Studio) and automated machine learning (SageMaker Autopilot) and adding a bunch of important services to the overall ecosystem, as shown in the diagram below. This ecosystem supports machine learning from preparation through model building,

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Eclipse Theia takes aim at Visual Studio Code

Eclipse Theia, an “IDE platform” for building multi-language desktop and web-based IDEs from the same codebase, has reached version 1.0 status.

The Eclipse Foundation describes Theia as a “true” open source answer to Microsoft’s popular Visual Studio Code editor. Theia even runs Visual Studio Code extensions for capabilities such as Python and Java language support. However, thus far Theia is intended to be fitted into third-party products. An end-user version is on the roadmap for release later this year. 

Implemented in TypeScript and available on GitHub, Theia runs in two separate processes—front end and back end—and communicates through

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Review: Amazon SageMaker plays catch-up

When I reviewed Amazon SageMaker in 2018, I noted that it was a highly scalable machine learning and deep learning service that supports 11 algorithms of its own, plus any others you supply. Hyperparameter optimization was still in preview, and you needed to do your own ETL and feature engineering. 

Since then, the scope of SageMaker has expanded, augmenting the core notebooks with IDEs (SageMaker Studio) and automated machine learning (SageMaker Autopilot) and adding a bunch of important services to the overall ecosystem, as shown in the diagram below. This ecosystem supports machine learning from preparation through model building,

Read More