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201222 CDLE LT甲子園予選会#1
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201222 CDLE LT甲子園予選会#1
1.
開会まで少々お待ちください
2.
CDLE 甲⼦園予選会 #1 TosakaNaoya G検定
2019#1 / E資格 2019#2 2020#1 Lightning Talks Meeting where all CDLE Members can learn and improve.
3.
CDLE シール 絶賛送付中︕ •
ハガキサイズのシール • 送付にかかる実費320円(税込み)で CDLEメンバー限定で配布。 • シール製作費はJDLA負担で、シール送付 に関してJDLAは⼀切の利益を得ていません。 • パスワードはCDLEメンバー以外に知らせな いようにお願いします。 https://jdla.shop パスワード: JDLA_CDLE サイズ︓100㎜(縦)×148㎜(横) ハガキサイズ
4.
本⽇のプログラム 時間 内容 発表者(敬称略)
タイトル 19:30-19:35 開会の挨拶 注意事項連絡 TosakaNaoya ー 19:35-19:50 LT No.1 Kojima_Yu AIリテラシーの醸成・AIエンジニアと⼀般企業との確執につ いて 19:50-20:05 LT No.2 TakYamada 肌で感じたAIスタートアップの現状と課題 20:05-20:20 LT No.3 u-masao ⼤容量データの分析︓1.3TB のセンサーデータとの戦い (with コロナ) 20:20-20:35 LT No.4 TosakaNaoya 映画データで楽しくデータサイエンスを学ぶ 20:35-20:40 閉会の挨拶 TosakaNaoya ー 20:40 閉会 TosakaNaoya ー
5.
注意事項連絡 • チャットの使い⽅ – 感想・質問をご⾃由に投稿ください –
発表者がLTをしている途中でも構いません – ただし、質問をする場合は、司会が拾いやすいように冒頭に【質問】と記載ください – 時間の都合上、1回のLTで取り上げられる質問は2つ〜3つとなります • 発表者以外は、⾳声・ビデオをオフにしてください • 発表の経過時間をチンベルでお知らせします – 8分経過したらチンベルを1回鳴らします – 9分経過したらチンベルを2回鳴らします – 10分経過したらチンベルを3回鳴らします
6.
LT No.1 • 発表者︓Kojima_Yu •
タイトル︓AIリテラシーの醸成・AIエンジニアと⼀般企業との確執について • 概要︓JDLA for DeepLearning G検定に合格した上で、AIに関する 論⽂・知識を学ぶ中で気付いたエンジニアと⼀般⼈・⼀般企業間における AIへの認識の違い、AIリテラシーについてお話します。
7.
LT No.2 • 発表者︓TakYamada •
タイトル︓肌で感じたAIスタートアップの現状と課題 • 概要︓エヌビディアのAIスタートアップ連携担当者として、200社超と⾯談し 30社以上と連携してきた経験を踏まえ、AIスタートアップの現状、課題、そ して今後への期待を語ります。
8.
LT No.3 • 発表者︓u-masao •
タイトル︓⼤容量データの分析︓1.3TB のセンサーデータとの戦い(with コロナ) • 概要︓⼤容量データと戦った経験をご紹介します。⼤容量データならではの 課題について、AWS Snowball Edge を使ったデータの物理転送と、分 析ソフトウェアやインフラ⾯での⼯夫をお伝えします。
9.
LT No.4 • 発表者︓TosakaNaoya •
タイトル︓映画データで楽しくデータサイエンスを学ぶ • 概要︓12⽉のマイクロソフトと共催したセミナーで実施したハンズオン内容の 共有です。G検定合格者でも楽しくデータサイエンスを学べます。
10.
以上で閉会となります CDLE 甲⼦園予選会#2 でお会いしましょう
11.
懇親会へ参加される⽅は ご案内メールのURLからご参加ください︕ https://live.remo.co/e/cdle-lt ・22:00までを予定しています ・⼊退室は⾃由です
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