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設計機器學習系統(tǒng)（影印版）
設計機器學習系統(tǒng)（影印版）
Chip Huyen 著
出版時間：2022年09月
頁數(shù)：367
“簡而言之，這是一本關于如何在公司構(gòu)建、部署和擴展機器學習模型以獲得最大影響的佳作。”
一Josh Wills
WeaveGrid軟件工程師，Slack前數(shù)據(jù)工程總監(jiān)
“在一個蓬勃發(fā)展卻又混亂的生態(tài)系統(tǒng)中，這種關于端到端機器學習的原則性觀點既是你的地圖,也是你的指南針:無論你是否身處大型科技公司，這都是一本必讀之作?！?br /> --Jacopo Tagliabue
Coveo人工智能總監(jiān)

機器學習系統(tǒng)既復雜又獨特。復雜是因為包含大量組件，涉及許多不同的利益方;獨特是因為其依賴于數(shù)據(jù)，不同用例之間的數(shù)據(jù)差異很大。在本書中，你將學習以一種整體方法來設計兼具可靠性、可伸縮性、可維護性，并能適應不斷變化的環(huán)境和業(yè)務需求的機器學習系統(tǒng)。
作者Chip Huyen是Claypot Al的聯(lián)合創(chuàng)始人，她在如何幫助系統(tǒng)作為一個整體實現(xiàn)其目標的背景下考慮了每一種設計決策，例如如何處理和創(chuàng)建訓練數(shù)據(jù)，使用哪些特性，重新訓練模型的頻率，以及監(jiān)測哪些內(nèi)容。書中的迭代框架采用了真實的案例研究，并輔以大量參考資料。
這本書將幫助你處理以下情況:
● 工程化數(shù)據(jù)并選擇正確的指標來解決業(yè)務問題
● 實現(xiàn)持續(xù)開發(fā)、評估、部署和更新模型的流程自動化
● 開發(fā)監(jiān)控系統(tǒng)，快速檢測和解決模型在生產(chǎn)中可能遇到的問題
● 構(gòu)建跨用例服務的機器學習平臺
● 開發(fā)可靠的機器學習系統(tǒng)
  1. Preface
  2. 1. Overview of Machine Learning Systems
  3. When to Use Machine Learning
  4. Understanding Machine Learning Systems
  5. Summary
  6. 2. Introduction to Machine Learning Systems Design
  7. Business and ML Objectives
  8. Requirements for ML Systems
  9. Iterative Process
  10. Framing ML Problems
  11. Mind Versus Data
  12. Summary
  13. 3. Data Engineering Fundamentals
  14. Data Sources
  15. Data Formats
  16. Data Models
  17. Data Storage Engines and Processing
  18. Modes of Dataflow
  19. Batch Processing Versus Stream Processing
  20. Summary
  21. 4. Training Data
  22. Sampling
  23. Labeling
  24. Class Imbalance
  25. Data Augmentation
  26. Summary
  27. 5. Feature Engineering
  28. Learned Features Versus Engineered Features
  29. Common Feature Engineering Operations
  30. Data Leakage
  31. Engineering Good Features
  32. Summary
  33. 6. Model Development and Offline Evaluation
  34. Model Development and Training
  35. Model Offline Evaluation
  36. Summary
  37. 7. Model Deployment and Prediction Service
  38. Machine Learning Deployment Myths
  39. Batch Prediction Versus Online Prediction
  40. Model Compression
  41. ML on the Cloud and on the Edge
  42. Summary
  43. 8. Data Distribution Shifts and Monitoring
  44. Causes of ML System Failures
  45. Data Distribution Shifts
  46. Monitoring and Observability
  47. Summary
  48. 9. Continual Learning and Test in Production
  49. Continual Learning
  50. Test in Production
  51. Summary
  52. 10. Infrastructure and Tooling for MLOps
  53. Storage and Compute
  54. Development Environment
  55. Resource Management
  56. ML Platform
  57. Build Versus Buy
  58. Summary
  59. 11. The Human Side of Machine Learning
  60. User Experience
  61. Team Structure
  62. Responsible AI
  63. Summary
  64. Epilogue
  65. Index
書名：設計機器學習系統(tǒng)（影印版）
作者：Chip Huyen 著
國內(nèi)出版社：東南大學出版社
出版時間：2022年09月
頁數(shù)：367
書號：978-7-5766-0224-1
原版書書名：Designing Machine Learning Systems
原版書出版商：O'Reilly Media
Chip Huyen
 
Chip Huyen是實時機器學習平臺Claypot AI的聯(lián)合創(chuàng)始人。憑借在 NVIDIA、Netflix和Snorkel Al的工作，她幫助了一些世界上最大的組織開發(fā)和部署機器學習系統(tǒng)。本書是Chip根據(jù)她在斯坦福大學開設的課程“機器學習系統(tǒng)設計”(CS329S)的講義撰寫的。
 
 
The animal on the cover of Designing Machine Learning Systems is a red-legged partridge (Alectoris rufa), also known as a French partridge.
Bred for centuries as a gamebird, this economically important, largely nonmigratory member of the pheasant family is native to western continental Europe, though populations have been introduced elsewhere, including England, Ireland, and New Zealand.
Relatively small but stout bodied, the red-legged partridge boasts ornate coloration and feather patterning, with light brown to gray plumage along its back, a light pink belly, a cream-colored throat, a brilliant red bill, and rufous or black barring on its flanks.
Feeding primarily on seeds, leaves, grasses, and roots, but also on insects, red-legged partridges breed each year in dry lowland areas, such as farmland, laying their eggs in ground nests. Though they continue to be bred in large numbers, these birds are now considered near threatened due to steep population declines attributed, in part, to overhunting and disappearance of habitat. Like all animals on O’Reilly covers, they’re vitally important to our world.
購買選項
定價：138.00元
書號：978-7-5766-0224-1
出版社：東南大學出版社