Bayesian Methods for Hackers ─ Probabilistic Programming and Bayesian Inference
商品資訊
系列名:Addison-wesley Data & Analytics Series
ISBN13:9780133902839
出版社:Prentice Hall
作者:Cameron Davidson-pilon
出版日:2015/02/18
裝訂/頁數:平裝/300頁
規格:17.8cm*24.1cm*1.3cm (高/寬/厚)
商品簡介
The next generation of really difficult problems will be statistical, not deterministic: the solutions will be buried beneath layers of noise. Bayesian methods offer data scientists powerful flexibility in solving these brutally complex problems. However, Bayesian methods have traditionally required deep mastery of complicated math and advanced algorithms, placing them off-limits to many who could benefit from them.
New technologies such as the Python PyMC library now make it possible to largely abstract Bayesian inference from deeper mathematics. Bayesian Methods for Hackers is the first book built upon this approach. Using realistic and relevant examples, it shows programmers how to solve many common problems with Bayesian methods, even if they have only modest mathematical backgrounds. Cameron Davidson-Pilon demystifies all facets of Bayesian programming, including:
- The philosophy of Bayesian inference, the Bayesian "state of mind," and Bayesian inference in practice
- How the Python PyMC library implements Bayesian techniques, freeing you to use them without first possessing a deep understanding of Bayesian mathematics
- How to build on your growing application experience to gain a deeper theoretical understanding
To build your understanding, he guides you through many real-world applications, including:
- Inferring behavior from text-message data
- Performing A/B testing with Bayesian methods
- Diagnosing and improving convergence
- Gaining insight from aggregated geographical data
- Developing statistical models to predict census form return rates
- Sequencing Reddit comments
- Improving machine learning
- Predicting stock returns, and much more
Using Bayesian Methods for Hackers, you can start leveraging powerful Bayesian tools right now -- gradually deepening your theoretical knowledge while you're already achieving powerful results in areas ranging from marketing to finance.
作者簡介
Cameron Davidson-Pilon has seen many fields of applied mathematics, from the evolutionary dynamics of genes and diseases, to stochastic modelling of financial prices. His main contributions to the open source community includeBayesian Methods for Hackers and lifelines. Cameron was raised in Guelph, Ontario, but educated at the University of Waterloo and Independent University of Moscow. He currently lives in Ottawa, Ontario, working with the online commerce leader Shopify.
主題書展
更多書展今日66折
您曾經瀏覽過的商品
購物須知
外文書商品之書封,為出版社提供之樣本。實際出貨商品,以出版社所提供之現有版本為主。部份書籍,因出版社供應狀況特殊,匯率將依實際狀況做調整。
無庫存之商品,在您完成訂單程序之後,將以空運的方式為你下單調貨。為了縮短等待的時間,建議您將外文書與其他商品分開下單,以獲得最快的取貨速度,平均調貨時間為1~2個月。
為了保護您的權益,「三民網路書店」提供會員七日商品鑑賞期(收到商品為起始日)。
若要辦理退貨,請在商品鑑賞期內寄回,且商品必須是全新狀態與完整包裝(商品、附件、發票、隨貨贈品等)否則恕不接受退貨。