Bayesian Statistics the Fun Way: Understanding Statistics and Probability with Star Wars, Lego, and Rubber Ducks
暫譯: 有趣的貝葉斯統計:透過星際大戰、樂高和橡膠鴨理解統計與機率
Kurt, Will
- 出版商: No Starch Press
- 出版日期: 2019-07-09
- 定價: $1,450
- 售價: 9.0 折 $1,305
- 語言: 英文
- 頁數: 256
- 裝訂: Quality Paper - also called trade paper
- ISBN: 1593279566
- ISBN-13: 9781593279561
-
相關分類:
機率統計學 Probability-and-statistics
-
相關翻譯:
寫給大家的統計學|秒懂機率與統計,你也可以是人生勝利組 (Bayesian Statistics the Fun Way: Understanding Statistics and Probability with Star Wars, Lego, and Rubber Ducks) (繁中版)
立即出貨
買這商品的人也買了...
-
$1,620Physics for Game Developers: Science, math, and code for realistic effects, 2/e (Paperback) -
透視 C語言指標-深度探索記憶體管理核心技術 (Understanding and Using C Pointers)$480$379 -
Docker 編配的奧義 (Orchestrating Docker)$280$218 -
$556ANSYS FLUENT 16.0 超級學習手冊 -
$1,617Deep Learning (Hardcover) -
Deep Learning|用 Python 進行深度學習的基礎理論實作$580$458 -
Python 也可以這樣學$580$452 -
Docker 這樣學才有趣:從入門,到玩直播、挖礦$450$356 -
Python:期貨演算法交易實務 121個關鍵技巧詳解$500$390 -
不敗的數據學:從統計數字中看見真相的 12堂思考訓練,不被造假及濫用的數字唬弄!$380$323 -
$2,340Causality: Models, Reasoning and Inference (Hardcover) -
Julia 程式設計:新世代資料科學與數值運算語言$480$432 -
邁向 Linux 工程師之路:Superuser 一定要懂的技術與運用, 2/e (How Linux Works: What Every Superuser Should Know, 2/e)$600$468 -
tf.keras 技術者們必讀!深度學習攻略手冊$1,000$850 -
Data Science and Machine Learning: Mathematical and Statistical Methods$3,980$3,781 -
D3 實用指南|程式設計師和科學家的互動式圖形工具箱 (D3 for the Impatient : Interactive Graphics for Programmers and Scientists)$520$411 -
金魚都能懂的 CSS 選取器:金魚都能懂了你還怕學不會嗎(iT邦幫忙鐵人賽系列書)$560$437 -
Statistics Hacks 統計學駭客 75招 (Statistics Hacks)$580$458 -
C++ High Performance : Master the art of optimizing the functioning of your C++ code, 2/e (Paperback)$2,081$1,971 -
Deep Learning 3|用 Python 進行深度學習框架的開發實作$780$616 -
CPython Internals: Your Guide to the Python 3 Interpreter (Paperback)$1,580$1,501 -
核心開發者親授!PyTorch 深度學習攻略 (Deep Learning with Pytorch)$1,000$790 -
Probability and Random Processes, 4/e (Paperback)$1,680$1,646 -
PyTorch 深度學習入門與應用:必備實作知識與工具一本就學會$600$468 -
FastAPI|現代 Python 網站開發 (FastAPI : Modern Python Web Development)$680$537
商品描述
Fun guide to learning Bayesian statistics and probability through unusual and illustrative examples. Probability and statistics are increasingly important in a huge range of professions. But many people use data in ways they don't even understand, meaning they aren't getting the most from it. Bayesian Statistics the Fun Way will change that. This book will give you a complete understanding of Bayesian statistics through simple explanations and un-boring examples. Find out the probability of UFOs landing in your garden, how likely Han Solo is to survive a flight through an asteroid shower, how to win an argument about conspiracy theories, and whether a burglary really was a burglary, to name a few examples. By using these off-the-beaten-track examples, the author actually makes learning statistics fun. And you'll learn real skills, like how to: - How to measure your own level of uncertainty in a conclusion or belief
- Calculate Bayes theorem and understand what it's useful for
- Find the posterior, likelihood, and prior to check the accuracy of your conclusions
- Calculate distributions to see the range of your data
- Compare hypotheses and draw reliable conclusions from them Next time you find yourself with a sheaf of survey results and no idea what to do with them, turn to Bayesian Statistics the Fun Way to get the most value from your data.
- Calculate Bayes theorem and understand what it's useful for
- Find the posterior, likelihood, and prior to check the accuracy of your conclusions
- Calculate distributions to see the range of your data
- Compare hypotheses and draw reliable conclusions from them Next time you find yourself with a sheaf of survey results and no idea what to do with them, turn to Bayesian Statistics the Fun Way to get the most value from your data.
商品描述(中文翻譯)
透過不尋常且具啟發性的範例學習貝葉斯統計與機率的有趣指南。
機率與統計在各種職業中變得越來越重要。然而,許多人使用數據的方式卻不甚了解,這意味著他們無法充分利用這些數據。貝葉斯統計的有趣方式將改變這一點。 這本書將通過簡單的解釋和不無聊的範例,讓你對貝葉斯統計有全面的理解。了解外星飛船降落在你花園的機率、漢·索羅在小行星雨中生存的可能性、如何贏得關於陰謀論的辯論,以及一宗入室盜竊是否真的為入室盜竊,這些只是幾個範例。 透過這些不尋常的範例,作者實際上讓學習統計變得有趣。而且你將學到真正的技能,例如: - 如何衡量自己在結論或信念中的不確定性- 計算貝葉斯定理並理解其用途
- 找出後驗、似然和先驗以檢查結論的準確性
- 計算分佈以查看數據的範圍
- 比較假設並從中得出可靠的結論 下次當你手中有一堆調查結果卻不知道該如何處理時,請參考貝葉斯統計的有趣方式,以從你的數據中獲得最大的價值。
作者簡介
Will Kurt currently works as a Senior Data Scientist at Bombora, and has been using Bayesian statistics to solve real business problems for over half a decade. He frequently blogs about probability on his website, CountBayesie.com. Will is the author of Get Programming with Haskell (Manning Publications) and lives in Reno, Nevada.
作者簡介(中文翻譯)
Will Kurt 目前在 Bombora 擔任資深數據科學家,並且已經使用貝葉斯統計解決實際商業問題超過五年。他經常在他的網站 CountBayesie.com 上撰寫有關概率的博客。Will 是《Get Programming with Haskell》(Manning Publications)的作者,現居於內華達州的雷諾。