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The search marketing landscape is evolving rapidly with new technologies, and professionals, like you, rely on innovative paid search strategies to meet changing demands. It’s important that you’re ready to implement new strategies in 2024. Check this out and learn the top trends in paid search advertising that are expected to gain traction, so you can drive higher ROI more efficiently in 2024. You’ll learn: - The latest trends in AI and automation, and what this means for an evolving paid search ecosystem. - New developments in privacy and data regulation. - Emerging ad formats that are expected to make an impact next year. Watch Sreekant Lanka from iQuanti and Irina Klein from OneMain Financial as they dive into the future of paid search and explore the trends, strategies, and technologies that will shape the search marketing landscape. If you’re looking to assess your paid search strategy and design an industry-aligned plan for 2024, then this webinar is for you.
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From their humble beginnings in 1984, TED has grown into the world’s most powerful amplifier for speakers and thought-leaders to share their ideas. They have over 2,400 filmed talks (not including the 30,000+ TEDx videos) freely available online, and have hosted over 17,500 events around the world. With over one billion views in a year, it’s no wonder that so many speakers are looking to TED for ideas on how to share their message more effectively. The article “5 Public-Speaking Tips TED Gives Its Speakers”, by Carmine Gallo for Forbes, gives speakers five practical ways to connect with their audience, and effectively share their ideas on stage. Whether you are gearing up to get on a TED stage yourself, or just want to master the skills that so many of their speakers possess, these tips and quotes from Chris Anderson, the TED Talks Curator, will encourage you to make the most impactful impression on your audience. See the full article and more summaries like this on SpeakerHub here: https://speakerhub.com/blog/5-presentation-tips-ted-gives-its-speakers See the original article on Forbes here: http://www.forbes.com/forbes/welcome/?toURL=http://www.forbes.com/sites/carminegallo/2016/05/06/5-public-speaking-tips-ted-gives-its-speakers/&refURL=&referrer=#5c07a8221d9b
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SpeakerHub
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Here's my presentation on by proven best practices how to manage your work time effectively and how to improve your productivity. It includes practical tips and how to use tools such as Slack, Google Apps, Hubspot, Google Calendar, Gmail and others.
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The six step guide to practical project management If you think managing projects is too difficult, think again. We’ve stripped back project management processes to the basics – to make it quicker and easier, without sacrificing the vital ingredients for success. “If you’re looking for some real-world guidance, then The Six Step Guide to Practical Project Management will help.” Dr Andrew Makar, Tactical Project Management
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P≠npノート
1.
P≠NPノート
2.
今回のタネ本 ● 今度こそわかるP≠NP予想 ○ 前回があったのか? ○
とても読みやすかったです。 ○ 数式というか論理式は飛ばしました。 ○ 詳細はこの本を読んでください。貸します。 ○ その他関連Wikipediaを参考にしました。
3.
P≠NP予想とは ● 速く解ける問題の集合(P)と、証拠があれば速く解ける問題 の集合(NP)が、多分きっと恐らく同じではない(≠)だろう、と いう予想。 ● NP完全と呼ばれる問題の速い解き方が分かるか、逆に速く 解けないことが証明できれば、100万ドルもらえます。
4.
NP完全問題の実例 ● ぷよぷよ ● テトリス こういった、現実世界に大きく関わる組み合わせ最適 化問題がNP完全問題です。 ●
他には、 ○ 論理式が真になれるか確かめる充足可能性問題(SAT) ○ ナップサック問題など
5.
登場人物紹介 ● 問題 ○ ビット列からビット列に変換する関数 ○
1か0(yesかno)だけを返す問題は決定問題という。 ● 問題例(入力) ○ 問題の具体的な入力値。サイズは任意。 ● 計算機 ○ アルゴリズムに沿って入力を処理し、結果を出す。
6.
「計算の速さ」とは何か ● そもそも時間とは? ○ アルゴリズムを実行するための計算のステップ数 ○
加減算・代入など ● 「速い」アルゴリズムとは? ○ 入力のサイズが増えても、計算ステップ数がそれほど増えないアルゴリズ ム。
7.
計算時間を比べる ● O記法(オーダー記法)で計算時間を表す。 ○ O(1)、O(n)、O(nk )、O(2n )、O(2n^k )... ○
それぞれ、入力サイズnによって計算時間がどう増えるかを表している。 ○ O(1)であれば、入力サイズに関係なく決まった時間で計算できる。 ○ O(n)であれば、入力サイズが2倍になると2倍時間が掛かる。
8.
Pとは ● 多項式時間で計算できるアルゴリズムが見つかっている問 題 ○ 普通の計算機(決定性チューリングマシン)でね! ●
多項式時間とは、つまりO(nk ) ○ これ(nk )が計算機科学の多項式です。定数無視、一番大きい指数の項だけ 注目。 ○ O(1)やO(n)も含まれる。
9.
NPとは ● Pじゃない問題……ではありませんでした。 ○ 解くのはどうか知らないけど、解答らしきもの(証拠)があれば、それを多項式 時間(O(nk ))で検算できる決定問題。 ●
PもNPに含まれます。 ○ Pは多項式時間で解けるし、多項式時間で検算もできる。 ○ 多項式時間で検算できるからNP。
10.
NP困難とNP完全 ● この2つは違いました。 ○ NP困難とは、NP以上(≦)に難しいこと ○
NP完全とは、NP困難でかつNP(証拠があれば多項式時間で決定可能)で あること ● PはNPなのだから、NP完全でかつPのものもあったりするん だろうか……。 ● もしそれがあればP=NP
11.
P≠NP予想 ● PとNPに差があるという予想。 ○ NPだがPでない(多項式時間では解けない)問題があるだろう、という予想。 ○
NPとPは曖昧な関係。 ■ 「あなた、NP完全だって言ってたじゃない! P君とはどういう関係な の!?」「実は俺、Pと……」 ■ そうこともあり得る。
12.
NP完全問題の性質 ● いろいろ種類があるけれど、どれも多項式時間で別のNP完 全問題に還元可能 ○ つまり、NP完全問題がどれか1つ多項式時間で解ければまとめて解決。 ●
テトリスやぷよぷよでもOK! ○ この場合、充足可能性問題やハミルトン閉路問題をぷよぷよに還元して解く ことになります。
13.
P≠NP予想周辺の話題 ● 乱択アルゴリズム ○ 2/3くらい当たる多項式時間アルゴリズムがあれば、多項式時間のオーダー でほぼ答えが出せる。 ○
こういったアルゴリズムがある問題を、PやNPと同じようにBPPと呼ぶ。 ○ 現実的に応用範囲が広そう。ただ、多くの研究者はBPP=Pだと思っているら しい……。
14.
NP以上に難しい方々 ● E ○ O(2n )掛かる ●
EXP ○ O(2n^k )掛かる(指数が多項式) ● 決定不能 ○ チューリングマシン停止問題(永遠に掛かる)
15.
NPのもうひとつの定義 ● 非決定性チューリングマシンで多項式時間に解ける問題 ● 非決定性チューリングマシンとは、状態遷移の時になぜか良 くわからないけど自然と解ける方向に向かうスゴイマシン。 ●
そんな状態遷移で大丈夫か? ○ 大丈夫だ、問題ない。(決定性) ○ いちばん良い状態を頼む。(非決定性)
16.
NP完全性を感じたい ● 時間があれば部分和問題とか……。 ● マシン停止。発熱。 ●
気温や冷却の観点から、本当は冬にやるのがオススメです。 ● D言語で書きました。
17.
個人的な疑問ノート ● 岩淵さんがつぶやいていたコラッツ予想が気になる。 ○ 1以上の自然数nについて、nが偶数なら1
/ 2、奇数なら3n + 1、を繰り返す と1になる。 ● 逆から考えると、1からある数Nに向かう経路が存在するかを 問う決定問題 ● 部分和問題に近い? ● 幾何学的にも考えられそう ● こちらは解ければ500ドル
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