2017-04-14の統計ニュース

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• A Peek at Trends in Machine Learning – Andrej Karpathy – Medium

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• 『ビッグデータ分析・活用のためのSQLレシピ』はデータ分析でSQLクエリを叩く人なら必読の黒魔術大全 - 六本木で働くデータサイエンティストのブログ

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• 営業がSQLを理解--データ活用を組織文化として定着させたリブセンス - ZDNet Japan

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• SCODE: An efficient regulatory network inference algorithm from single-cell RNA-Seq during differentiation | Bioinformatics | Oxford Academic
• GitHub - hmatsu1226/SCODE: SCODE : an efficient regulatory network inference algorithm from single-cell RNA-Seq during differentiation

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• Google Cloud Next'17 で GCP の中の人達と話してきた - Technology of DeNA

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• Hedge Fund Technology Guru Wes McKinney Pushes Big Data Interoperability

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• [1309.0790] SKYNET: an efficient and robust neural network training tool for machine learning in astronomy
• Classifying White Blood Cells With Deep Learning (Code and data included!)
• ggfortify: Unified Interf... The R Journal
• Rules - Thinkable.org

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• Screen Time: How Much Is Too Much?
• [1704.03338] Continuously tempered Hamiltonian Monte Carlo
• セミナー申し込み｜Cloud Days 2017＜名古屋＞
• 天文学におけるデータ科学的方法

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• Embulk Meetup Tokyo #3 - dots.［ドッツ］
• Introduction to Data Journalism with Tableau | Tableau Software