Information Theory, Inference and Learning Algorithms 2024 pdf epub mobi 電子書下載

☆☆☆☆☆
簡體網頁||繁體網頁

Information Theory, Inference and Learning Algorithms pdf epub mobi 著者簡介

Information Theory, Inference and Learning Algorithms pdf epub mobi 圖書描述

Information theory and inference, taught together in this exciting textbook, lie at the heart of many important areas of modern technology - communication, signal processing, data mining, machine learning, pattern recognition, computational neuroscience, bioinformatics and cryptography. The book introduces theory in tandem with applications. Information theory is taught alongside practical communication systems such as arithmetic coding for data compression and sparse-graph codes for error-correction. Inference techniques, including message-passing algorithms, Monte Carlo methods and variational approximations, are developed alongside applications to clustering, convolutional codes, independent component analysis, and neural networks. Uniquely, the book covers state-of-the-art error-correcting codes, including low-density-parity-check codes, turbo codes, and digital fountain codes - the twenty-first-century standards for satellite communications, disk drives, and data broadcast. Richly illustrated, filled with worked examples and over 400 exercises, some with detailed solutions, the book is ideal for self-learning, and for undergraduate or graduate courses. It also provides an unparalleled entry point for professionals in areas as diverse as computational biology, financial engineering and machine learning.

Information Theory, Inference and Learning Algorithms 2024 pdf epub mobi 電子書下載

Information Theory, Inference and Learning Algorithms pdf epub mobi 圖書目錄

下載链接在页面底部

點擊這裡下載

facebook linkedin mastodon messenger pinterest reddit telegram twitter viber vkontakte whatsapp 複製鏈接

想要找書就要到本本書屋

onlinetoolsland.com

立刻按 ctrl+D收藏本頁

你會得到大驚喜!!

發表於2024-05-17

Information Theory, Inference and Learning Algorithms 2024 pdf epub mobi 電子書下載

喜欢 Information Theory, Inference and Learning Algorithms 電子書的读者还喜欢

Information Theory, Inference and Learning Algorithms pdf epub mobi 讀後感

評分☆☆☆☆☆

信息論是我覺得最有用的課程之一，不管是科研，還是現實生活。首先從信息論的角度看數字編碼，從二進製，十進製，再到二十進製，其實是在用越來越多的符號來編碼無窮盡的數字。二進製隻需要兩個符號0，1就可以編碼所有數字，每個字符信息量較小，代價就是編碼長度及其長，不利...

評分☆☆☆☆☆

可惜看過瞭，理解不深刻，又忘瞭。準備拾起來，雖然基本上工作用不上，就當是完成一個念想吧！加油！

評分☆☆☆☆☆

我感覺啊，這本書寫的條理很清晰，可是太簡明扼要瞭好像，我讀不懂。可我碰到的問題上麵有介紹，我又沒找到其它地方，我隻有讀這個，可我讀不懂。我鬱悶。

評分☆☆☆☆☆

Mackay在我心中是一個多纔多藝的天纔，他重新發現瞭LDPC碼的價值，使得這一具有革命性影響的信道碼沒有沉沒在故紙堆中。這本書神奇地把數據壓縮、通信理論、神經網絡甚至是分布式算法這些我們在多門課程中學習的東西統一到瞭統計尤其是Bayesian統計的大框架下來，使得我們的...

評分☆☆☆☆☆

1.剛從圖書館藉到這本書，順著書中的支持網站，發現作者把公開課視頻也免費放到網上瞭，還可以直接下到英文原版電子版，這是什麼精神~ ”A series of sixteen lectures covering the core of the book "Information Theory, Inference, and Learning Algorithms (Cambridge Un...

類似圖書點擊查看全場最低價

出版者:Cambridge University Press

作者:David J. C. MacKay

出品人:

頁數:640

譯者:

出版時間:2003-10-6

價格:USD 80.00

裝幀:Hardcover

isbn號碼:9780521642989

叢書系列:

圖書標籤: 機器學習信息論人工智能計算機數學 AI Inference 計算機科學