Evening piano

Evening Piano

#3093, Jun. 3, 2022: Time seemed to have given way to eternity (this title is from The Dancing Dwarf by Haruki Murakami) 
Today's pure primal piano music here. Happy if this music makes you feel peaceful.. : )
Looking for absolute natural beauty every day for Piano Ten Thousand Leaves. Target number is 4537 and 3093(68.2%) achieved. Find my project.. : )
This piece may might have good 1/f fluctuation characteristic although I stopped investigating it each piece.

BTW, on May 7 I won the "Minister of Economy, Trade and Industry Award" of 49th MAU exhibition - NFT Art Festival Tokyo 2022 held by Motion Pictures and Art Inc., Foundation.
I'm very happy.. : )

######## NEW 21th SELECTION ALBUM JUST RELEASED ########
"Giouji Temple Feeling Love" - the 21st selection album of piano ten thousand leaves

Youtube: Full(20 songs, 50 minutes) and Free 4K Video with Super Beautiful Motion Graphics of Artgrid
https://youtu.be/Zq9Oksqf4rw

spotify
https://open.spotify.com/album/5JDlSrZ6wltF3ouIXsr4U2

apple music
https://music.apple.com/jp/album/1615911988

iTunes
https://music.apple.com/jp/album/1615911988?app=itunes

amazon music
https://www.amazon.co.jp/s?k=chair+house+%E7%A5%87%E7%8E%8B%E5%AF%BA%E3%81%AE%E6%83%B3%E3%81%84+-+%E3%83%94%E3%82%A2%E3%83%8E%E4%B8%87%E8%91%89%E9%9B%86+-+%E7%AC%AC21%E9%81%B8&i=digital-music&ref=nb_sb_noss_2

Line Music
https://music.line.me/webapp/album/mb000000000266d79e

AWA
https://s.awa.fm/album/0d40ec976ca707691d13

Other Every music streaming services in the world
https://linkco.re/ECPuRp77

Time Seemed To Have Given Way To Eternity - #3093 By Chair House 06032022

In this episode of the Data Show, I speak with Arun Kejariwal of Facebook and Ira Cohen of Anodot (full disclosure: I’m an advisor to Anodot). This conversation stemmed from a recent online panel discussion we did, where we discussed time series data, and, specifically, anomaly detection and forecasting. Both Kejariwal (at Machine Zone, Twitter, and Facebook) and Cohen (at HP and Anodot) have extensive experience building analytic and machine learning solutions at large scale, and both have worked extensively with time-series data. The growing interest in AI and machine learning has not been confined to computer vision, speech technologies, or text. In the enterprise, there is strong interest in using similar automation tools for temporal data and time series.

Machine Learning and Analytics for Time Series Data

O'Reilly Media spreads the knowledge of innovators. At O’Reilly, a big part of our business is paying attention to what’s new and interesting in the world of technology. We have a pretty good record at having anticipated some of the big technology developments in recent history. For instance, we launched the first commercial Web site, GNN, in 1993; we organized the meeting at which the term “open source” was first adopted; we were early investors in Blogger, which helped launch the blogging revolution; and more recently, our Web 2.0 conference launched a world-wide meme. We call this predictive sense the “O’Reilly Radar.” And while we’re certainly not always right, we are, at least, good at making interesting guesses.

Our methodology is simple: we draw from the wisdom of the alpha geeks in our midst, paying attention to what’s interesting to them, amplifying these weak signals, and seeing where they fit into the innovation ecology. Add to that the original research conducted by our Research team, and you start to get a good picture of what the technology world is thinking about.

Machine Learning and Analytics for Time Series Data

O'Reilly Radar