Phrases from "Severance" Public speaking course notes Read "Dynamo, Amazon’s Highly Available Key-value Store" Read "Bigtable, A Distributed Storage System for Structured Data" Read "Streaming Systems" 3, Watermarks Read "Streaming Systems" 1&2, Streaming 101 Read "F1, a distributed SQL database that scales" Read "Zanzibar, Google’s Consistent, Global Authorization System" Read "Spanner, Google's Globally-Distributed Database" Read "Designing Data-intensive applications" 12, The Future of Data Systems IOS development with Swift Read "Designing Data-intensive applications" 10&11, Batch and Stream Processing Read "Designing Data-intensive applications" 9, Consistency and Consensus Read "Designing Data-intensive applications" 8, Distributed System Troubles Read "Designing Data-intensive applications" 7, Transactions Read "Designing Data-intensive applications" 6, Partitioning Read "Designing Data-intensive applications" 5, Replication Read "Designing Data-intensive applications" 3&4, Storage, Retrieval, Encoding Read "Designing Data-intensive applications" 1&2, Foundation of Data Systems Three cases of binary search TAMU Operating System 2 Memory Management TAMU Operating System 1 Introduction Overview in cloud computing 2 TAMU Operating System 7 Virtualization TAMU Operating System 6 File System TAMU Operating System 5 I/O and Disk Management TAMU Operating System 4 Synchronization TAMU Operating System 3 Concurrency and Threading TAMU Computer Networks 5 Data Link Layer TAMU Computer Networks 4 Network Layer TAMU Computer Networks 3 Transport Layer TAMU Computer Networks 2 Application Layer TAMU Computer Networks 1 Introduction Overview in distributed systems and cloud computing 1 A well-optimized Union-Find implementation, in Java A heap implementation supporting deletion TAMU Advanced Algorithms 3, Maximum Bandwidth Path (Dijkstra, MST, Linear) TAMU Advanced Algorithms 2, B+ tree and Segment Intersection TAMU Advanced Algorithms 1, BST, 2-3 Tree and Heap TAMU AI, Searching problems Factorization Machine and Field-aware Factorization Machine for CTR prediction TAMU Neural Network 10 Information-Theoretic Models TAMU Neural Network 9 Principal Component Analysis TAMU Neural Network 8 Neurodynamics TAMU Neural Network 7 Self-Organizing Maps TAMU Neural Network 6 Deep Learning Overview TAMU Neural Network 5 Radial-Basis Function Networks TAMU Neural Network 4 Multi-Layer Perceptrons TAMU Neural Network 3 Single-Layer Perceptrons Princeton Algorithms P1W6 Hash Tables & Symbol Table Applications Stanford ML 11 Application Example Photo OCR Stanford ML 10 Large Scale Machine Learning Stanford ML 9 Anomaly Detection and Recommender Systems Stanford ML 8 Clustering & Principal Component Analysis Princeton Algorithms P1W5 Balanced Search Trees TAMU Neural Network 2 Learning Processes TAMU Neural Network 1 Introduction Stanford ML 7 Support Vector Machine Stanford ML 6 Evaluate Algorithms Princeton Algorithms P1W4 Priority Queues and Symbol Tables Stanford ML 5 Neural Networks Learning Princeton Algorithms P1W3 Mergesort and Quicksort Stanford ML 4 Neural Networks Basics Princeton Algorithms P1W2 Stack and Queue, Basic Sorts Stanford ML 3 Classification Problems Stanford ML 2 Multivariate Regression and Normal Equation Princeton Algorithms P1W1 Union and Find Stanford ML 1 Introduction and Parameter Learning

Phrases from "Severance"

2025-06-26

Season 1

  • Should I have consulted you?
  • Good initiative
  • Keep it between us
  • That’s one less horrible thing
  • Weird energy
  • Careful out there
  • Thanks for noticing
  • He was coming at you
  • I know what you’re up to
  • Save it
  • I haven’t worked it out yet
  • Are you sweet on this guy
  • You disapprove?
  • Get the hell out of here.
  • You aware what MDR is up to right now?
  • I thought that’s what you were paid for
  • I will have a word with
  • Looks like we both made it through
  • Congratulations there
  • I am a leader who cares about his employees
  • must be held accountable for the actions
  • Change can be disorienting
  • That’s poetic as shit, man
  • We’re not children, we didn’t do anything wrong
  • I trusted you, you abused the trust
  • I’m good with water, thank you
  • It’s a privilege
  • If it’s lame, we will leave
  • How are you holding up
  • I think we gonna take off
  • I’ve had a day
  • You are being weird
  • It’s kind of a big deal for me
  • Just getting a head start on the day
  • Just see how the day goes
  • You look troubled
  • That we shall
  • You deserve something special
  • Stay tuned
  • Not knowing is probably the best
  • Lead the way
  • How about a round of applause for the man of the hour
  • Come and circle up, gather around
  • I come home feeling tired but fulfilled, feel satisfied
  • Bon voyage
  • We made it, despite a staffing shake-up
  • Just now, just a moment ago
  • You do all sorts of wonderful things
  • I just have so much to do today
  • I’m over her, just wanna be friends
  • On your go, then
  • In case we don’t come back. Or, I don’t know, in case we do?
  • Sorry to just pop over
  • I’m not feeling quite myself
  • I don’t want to be nosy(curious)
  • I got a little woozy
  • I’m gonna stop by the bathroom
  • So nice to finally meet you. Likewise.
  • This better be working, assholes
  • You don’t have to weigh in on that
  • Discussing whether it might have been a wiser move for .. to ..
  • This is gonna sound weird
  • I know
  • I’m certainly gonna try
  • Family is both my bedrock and my inspiration
  • I can crane
  • It’s going great
  • The drink just hit me a bit
  • Spared from the pain
  • Lumon has their hands in so many pies
  • I will tee you up
  • Just stick to the talking points
  • Use the line that …
  • Bumps in the roads
  • With any transformative technology, there have been setbacks
  • We are on a verge of a revolution

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