Classical statistical techniques, like the t-test, are the bedrock of the optimization industry, helping companies make data-driven decisions. As online experimentation has exploded, it’s now clear that these traditional statistical methods are not the right fit for digital data: Applying classical statistics to A/B testing can lead to error rates that are much higher than most experimenters expec
Google Optimize and Optimize 360 are no longer available as of September 30, 2023. Any experiments and personalizations still active on that date have ended. Frequently asked questions Why was Optimize sunsetted? We remain committed to enabling businesses of all sizes to improve your user experiences and are investing in third-party A/B testing integrations for Google Analytics 4. We are focused o
Google Optimize and Optimize 360 are no longer available as of September 30, 2023. Any experiments and personalizations still active on that date have ended. Frequently asked questions Why was Optimize sunsetted? We remain committed to enabling businesses of all sizes to improve your user experiences and are investing in third-party A/B testing integrations for Google Analytics 4. We are focused o
Your success—and sanity—are closer at hand when you work at a higher level of abstraction, allowing your attention to be on the business problem rather than the details of the programming platform. Domain Specific Languages—"little languages" implemented on top of conventional programming languages—give you a way to do this because they model the domain of your business problem. DSLs in Action int
実践プログラミングDSL ドメイン特化言語の設計と実装のノウハウ (Programmer’s SELECTION) 作者: Debasish Ghosh,佐藤竜一出版社/メーカー: 翔泳社発売日: 2012/06/08メディア: 大型本購入: 4人 クリック: 82回この商品を含むブログ (13件) を見る 相変わらず読むのが遅いので、有用な書評はだいたい出そろっている頃だと思います。 id:kmizushima さんに教えていただいて読んだ本です。私の周りではあんまり大きくバズる感じがしていないのが若干寂しいところなのですが、良い本なので思ったことをまとめてみたいと思います。 まず基本的に、この本は写経のための本であると思っています。Scala,Ruby,Clojure,Groovyなどの言語を利用してDSLを構築するためのノウハウや実コード例が非常に豊富です。用途を固定したプログラミン
Format Apache Arrow defines a language-independent columnar memory format for flat and hierarchical data, organized for efficient analytic operations on modern hardware like CPUs and GPUs. The Arrow memory format also supports zero-copy reads for lightning-fast data access without serialization overhead. Learn more about the design or read the specification. Libraries Arrow's libraries implement t
Compile-time type checking Static typing makes it easier to find bugs with less debugging. Easier maintenance Type declarations act as machine-checked documentation. Static typing makes your code easier to understand and easier to modify without introducing bugs. Grow your programs from dynamic to static typing You can develop programs with dynamic typing and add static typing after your code has
The Python Tutorial¶ Python is an easy to learn, powerful programming language. It has efficient high-level data structures and a simple but effective approach to object-oriented programming. Python’s elegant syntax and dynamic typing, together with its interpreted nature, make it an ideal language for scripting and rapid application development in many areas on most platforms. The Python interpre
各項目の評価は収納マンの主観に基づくところが多いのですが、かなり意外な結果となりました。以下、ランキング順に各機種の評価を述べたいと思います。 1位 コイズミファニテック ECL-611 堂々のランキング1位に輝いたのは、2016年度初登場のコイズミファニテックのECL-611/612です。シェード幅は決して広くないものの、操作性とデザインが抜群に良く、調光/調色機能も備え、価格も手頃であることが功を奏しました。 私はLEDデスクライトはシェード幅が広いことを一番重要視していますので、ECL-611/612が1位になったことには納得がいかない部分もあるんですが、これはそれぞれの項目に差を設けずに評価した結果です。しかしこうして評価してみると確かに、ECL-611/612はすごく良くできていると改めて思います。 2位 コイズミファニテック ECL-357 ランキングの2位に輝いたのはコイズミ
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Gym is a standard API for reinforcement learning, and a diverse collection of reference environments# The Gym interface is simple, pythonic, and capable of representing general RL problems: import gym env = gym.make("LunarLander-v2", render_mode="human") observation, info = env.reset(seed=42) for _ in range(1000): action = policy(observation) # User-defined policy function observation, reward, ter
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