Machine Learning System Design, Video Edition

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Free Download Machine Learning System Design, Video Edition
Released 2/2025
By Arseny Kravchenko, Valerii Babushkin
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 13h 29m | Size: 2.2 GB

Get the big picture and the important details with this end-to-end guide for designing highly effective, reliable machine learning systems.
From information gathering to release and maintenance, Machine Learning System Design guides you step-by-step through every stage of the machine learning process. Inside, you'll find a reliable framework for building, maintaining, and improving machine learning systems at any scale or complexity.
In Machine Learning System Design: With end-to-end examples you will learn
The big picture of machine learning system design
Analyzing a problem space to identify the optimal ML solution
Ace ML system design interviews
Selecting appropriate metrics and evaluation criteria
Prioritizing tasks at different stages of ML system design
Solving dataset-related problems with data gathering, error analysis, and feature engineering
Recognizing common pitfalls in ML system development
Designing ML systems to be lean, maintainable, and extensible over time
Authors Valeri Babushkin and Arseny Kravchenko have filled this unique handbook with campfire stories and personal tips from their own extensive careers. You'll learn directly from their experience as you consider every facet of a machine learning system, from requirements gathering and data sourcing to deployment and management of the finished system.
About the Technology
Designing and delivering a machine learning system is an intricate multistep process that requires many skills and roles. Whether you're an engineer adding machine learning to an existing application or designing a ML system from the ground up, you need to navigate massive datasets and streams, lock down testing and deployment requirements, and master the unique complexities of putting ML models into production. That's where this book comes in.
About the Book
Machine Learning System Design shows you how to design and deploy a machine learning project from start to finish. You'll follow a step-by-step framework for designing, implementing, releasing, and maintaining ML systems. As you go, requirement checklists and real-world examples help you prepare to deliver and optimize your own ML systems. You'll especially love the campfire stories and personal tips, and ML system design interview tips.
What's Inside
Metrics and evaluation criteria
Solve common dataset problems
Common pitfalls in ML system development
ML system design interview tips
About the Reader
For readers who know the basics of software engineering and machine learning. Examples in Python.
About the Authors
Valerii Babushkin is an accomplished data science leader with extensive experience. He currently serves as a Senior Principal at BP. Arseny Kravchenko is a seasoned ML engineer currently working as a Senior Staff Machine Learning Engineer at Instrumental.



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2.2 GB | 30min 21s | mp4 | 1280X720 | 16:9
Genre:eLearning |Language:English


Files Included :
FileName :001 Part 1 Preparations.mp4 | Size: (2.8 MB)
FileName :002 Chapter 1 Essentials of machine learning system design.mp4 | Size: (53.3 MB)
FileName :003 Chapter 1 How this book is structured.mp4 | Size: (25.01 MB)
FileName :004 Chapter 1 When principles of ML system design can be helpful.mp4 | Size: (24.78 MB)
FileName :005 Chapter 1 Summary.mp4 | Size: (4.1 MB)
FileName :006 Chapter 2 Is there a problem.mp4 | Size: (24.91 MB)
FileName :007 Chapter 2 Finding the problem.mp4 | Size: (37.03 MB)
FileName :008 Chapter 2 Risks, limitations, and possible consequences.mp4 | Size: (14.28 MB)
FileName :009 Chapter 2 Costs of a mistake.mp4 | Size: (18.59 MB)
FileName :010 Chapter 2 Summary.mp4 | Size: (2.34 MB)
FileName :011 Chapter 3 Preliminary research.mp4 | Size: (17.44 MB)
FileName :012 Chapter 3 Build or buy Open source-based or proprietary tech.mp4 | Size: (25.31 MB)
FileName :013 Chapter 3 Problem decompositioning.mp4 | Size: (30.81 MB)
FileName :014 Chapter 3 Choosing the right degree of innovation.mp4 | Size: (47.72 MB)
FileName :015 Chapter 3 Summary.mp4 | Size: (4.7 MB)
FileName :016 Chapter 4 Design document.mp4 | Size: (21.26 MB)
FileName :017 Chapter 4 Goals and antigoals.mp4 | Size: (19.65 MB)
FileName :018 Chapter 4 Design document structure.mp4 | Size: (23.82 MB)
FileName :019 Chapter 4 Reviewing a design document.mp4 | Size: (18.93 MB)
FileName :020 Chapter 4 A design doc is a living thing.mp4 | Size: (11.45 MB)
FileName :021 Chapter 4 Summary.mp4 | Size: (4.81 MB)
FileName :022 Part 2 Early stage.mp4 | Size: (3.68 MB)
FileName :023 Chapter 5 Loss functions and metrics.mp4 | Size: (38.36 MB)
FileName :024 Chapter 5 Metrics.mp4 | Size: (70.42 MB)
FileName :025 Chapter 5 Design document Adding losses and metrics.mp4 | Size: (41.64 MB)
FileName :026 Chapter 5 Summary.mp4 | Size: (2.73 MB)
FileName :027 Chapter 6 Gathering datasets.mp4 | Size: (26.42 MB)
FileName :028 Chapter 6 Cooking the dataset.mp4 | Size: (47.4 MB)
FileName :029 Chapter 6 Data and metadata.mp4 | Size: (16.03 MB)
FileName :030 Chapter 6 How much data is enough.mp4 | Size: (17.64 MB)
FileName :031 Chapter 6 Chicken-or-egg problem.mp4 | Size: (15.54 MB)
FileName :032 Chapter 6 Properties of a healthy data pipeline.mp4 | Size: (23.52 MB)
FileName :033 Chapter 6 Design document Dataset.mp4 | Size: (33.3 MB)
FileName :034 Chapter 6 Summary.mp4 | Size: (4.7 MB)
FileName :035 Chapter 7 Validation schemas.mp4 | Size: (12.88 MB)
FileName :036 Chapter 7 Standard schemas.mp4 | Size: (32.05 MB)
FileName :037 Chapter 7 Nontrivial schemas.mp4 | Size: (16.29 MB)
FileName :038 Chapter 7 Split updating procedure.mp4 | Size: (23.41 MB)
FileName :039 Chapter 7 Design document Choosing validation schemas.mp4 | Size: (14.86 MB)
FileName :040 Chapter 7 Summary.mp4 | Size: (3.51 MB)
FileName :041 Chapter 8 Baseline solution.mp4 | Size: (25.43 MB)
FileName :042 Chapter 8 Constant baselines.mp4 | Size: (17.36 MB)
FileName :043 Chapter 8 Model baselines and feature baselines.mp4 | Size: (20.65 MB)
FileName :044 Chapter 8 Variety of deep learning baselines.mp4 | Size: (15.32 MB)
FileName :045 Chapter 8 Baseline comparison.mp4 | Size: (12.38 MB)
FileName :046 Chapter 8 Design document Baselines.mp4 | Size: (14.46 MB)
FileName :047 Chapter 8 Summary.mp4 | Size: (6.3 MB)
FileName :048 Part 3 Intermediate steps.mp4 | Size: (2.82 MB)
FileName :049 Chapter 9 Error analysis.mp4 | Size: (48.66 MB)
FileName :050 Chapter 9 Residual analysis.mp4 | Size: (57.77 MB)
FileName :051 Chapter 9 Finding commonalities in residuals.mp4 | Size: (23.01 MB)
FileName :052 Chapter 9 Design document Error analysis.mp4 | Size: (26.98 MB)
FileName :053 Chapter 9 Summary.mp4 | Size: (4.11 MB)
FileName :054 Chapter 10 Training pipelines.mp4 | Size: (35.07 MB)
FileName :055 Chapter 10 Tools and platforms.mp4 | Size: (14.43 MB)
FileName :056 Chapter 10 Scalability.mp4 | Size: (11.21 MB)
FileName :057 Chapter 10 Configurability.mp4 | Size: (15.26 MB)
FileName :058 Chapter 10 Testing.mp4 | Size: (16.69 MB)
FileName :059 Chapter 10 Design document Training pipelines.mp4 | Size: (20.65 MB)
FileName :060 Chapter 10 Summary.mp4 | Size: (6.99 MB)
FileName :061 Chapter 11 Features and feature engineering.mp4 | Size: (49.06 MB)
FileName :062 Chapter 11 Feature importance analysis.mp4 | Size: (34.58 MB)
FileName :063 Chapter 11 Feature selection.mp4 | Size: (40.58 MB)
FileName :064 Chapter 11 Feature store.mp4 | Size: (39.79 MB)
FileName :065 Chapter 11 Design document Feature engineering.mp4 | Size: (24.07 MB)
FileName :066 Chapter 11 Summary.mp4 | Size: (3.93 MB)
FileName :067 Chapter 12 Measuring and reporting results.mp4 | Size: (40.5 MB)
FileName :068 Chapter 12 AB testing.mp4 | Size: (41.97 MB)
FileName :069 Chapter 12 Reporting results.mp4 | Size: (24.58 MB)
FileName :070 Chapter 12 Design document Measuring and reporting.mp4 | Size: (40.08 MB)
FileName :071 Chapter 12 Summary.mp4 | Size: (5.1 MB)
FileName :072 Part 4 Integration and growth.mp4 | Size: (3.55 MB)
FileName :073 Chapter 13 Integration.mp4 | Size: (40.75 MB)
FileName :074 Chapter 13 Release cycle.mp4 | Size: (27.56 MB)
FileName :075 Chapter 13 Operating the system.mp4 | Size: (13.95 MB)
FileName :076 Chapter 13 Overrides and fallbacks.mp4 | Size: (17.73 MB)
FileName :077 Chapter 13 Design document Integration.mp4 | Size: (29.83 MB)
FileName :078 Chapter 13 Summary.mp4 | Size: (2.83 MB)
FileName :079 Chapter 14 Monitoring and reliability.mp4 | Size: (30.39 MB)
FileName :080 Chapter 14 Software system health.mp4 | Size: (15.66 MB)
FileName :081 Chapter 14 Data quality and integrity.mp4 | Size: (58.49 MB)
FileName :082 Chapter 14 Model quality and relevance.mp4 | Size: (78.57 MB)
FileName :083 Chapter 14 Design document Monitoring.mp4 | Size: (25.76 MB)
FileName :084 Chapter 14 Summary.mp4 | Size: (11.12 MB)
FileName :085 Chapter 15 Serving and inference optimization.mp4 | Size: (33.8 MB)
FileName :086 Chapter 15 Tradeoffs and patterns.mp4 | Size: (29.19 MB)
FileName :087 Chapter 15 Tools and frameworks.mp4 | Size: (39.46 MB)
FileName :088 Chapter 15 Optimizing inference pipelines.mp4 | Size: (33.18 MB)
FileName :089 Chapter 15 Design document Serving and inference.mp4 | Size: (23.16 MB)
FileName :090 Chapter 15 Summary.mp4 | Size: (5.7 MB)
FileName :091 Chapter 16 Ownership and maintenance.mp4 | Size: (42.39 MB)
FileName :092 Chapter 16 Bus factor.mp4 | Size: (18.55 MB)
FileName :093 Chapter 16 Documentation.mp4 | Size: (21.95 MB)
FileName :094 Chapter 16 Complexity.mp4 | Size: (24.18 MB)
FileName :095 Chapter 16 Maintenance and ownership Supermegaretail and PhotoStock Inc.mp4 | Size: (6.77 MB)
FileName :096 Chapter 16 Summary.mp4 | Size: (5.59 MB)
]
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