Red Hat OpenShift Data Science Self- managed 1.22 升级 OpenShift Data Science Self-managed 了解如何在 OpenShift Container Platform 上升级 Red Hat OpenShift Data Science Last Updated: 2023-07-03 Red Hat OpenShift OpenShift Data Science Self-managed 1.22 升级 OpenShift Data Science Self-managed 了解如何在 OpenShift Container Platform 上升级 Red Hat OpenShift Data Science 法律通告 法律通告 Copyright © 2023 Red Hat, Inc. The text community. All other trademarks are the property of their respective owners. 摘要 摘要 了解 OpenShift Data Science Operator 升级过程。 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .

Hat OpenShift Data Science Self- managed 1.27 卸载 OpenShift Data Science Self-managed 使用 OpenShift CLI 从 Red Hat OpenShift Container Platorm 集群中删除 Red Hat OpenShift Data Science Self-managed Last Updated: Red Hat OpenShift Data Science Self-managed 1.27 卸载 OpenShift Data Science Self-managed 使用 OpenShift CLI 从 Red Hat OpenShift Container Platorm 集群中删除 Red Hat OpenShift Data Science Self-managed 法律通告 法律通告 respective owners. 摘要 摘要 使用 OpenShift CLI 从 OpenShift Container Platform 集群卸载 Red Hat OpenShift Data Science Self-managed。 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .

them incorrect and fail We must always make falsifiable hypotheses 22Take some good advice from science A good experiment is: Repeatable Replicable Accurate Precise Reliable Hermetic Calibrated ... Mocks? Beware circular reasoning! Test Doubles are accuracy / precision tradeoffs 31Accuracy in science Accuracy: measurements are close to the "right" answer Make a falsifiable hypothesis: "Our code Validity Don't do this! Part 1: Testing Precision Validity 45Part 1: Good Tests Summary Tests as science: Falsifiable Hypotheses Tests are here to detect bugs Repeatable Replicable Accurate Precise

under any conditions is not a bug Repeat this to yourself a few times 13Modern Philosophy of Science: Science would like to 1. make statements that can be proven true or false 2. Prove them true or false observe it, it's not there Confidence in correctness tracks completeness of the testing 15Empirical science: Scientists want to white-box test reality but can't #define private public #include science can give us a few pointers... 17Basic lab procedure: weighing a sample Question: do you believe

1 SCIENCE PASSION TECHNOLOGY Introduction to Scientific Writing 03 Experiments & Reproducibility Matthias Boehm Graz University of Technology, Austria Institute of Interactive Systems and Data Science Science Computer Science and Biomedical Engineering BMK endowed chair for Data Management Last update: Nov 11, 2021 2 706.015 Introduction to Scientific Writing – 03 Experiments & Reproducibility Matthias Boehm, Graz University of Technology, WS 2021/22 Experiments and Result Presentation In Computer Science (Data Management) [Ioana Manolescu, Stefan Manegold: Performance Evaluation in Database Research:

1 SCIENCE PASSION TECHNOLOGY Introduction to Scientific Writing 01 Structure of Scientific Papers Matthias Boehm Graz University of Technology, Austria Institute of Interactive Systems and Data Science Science Computer Science and Biomedical Engineering BMK endowed chair for Data Management Last update: Oct 23, 2021 2 706.015 Introduction to Scientific Writing – 01 Introduction and Overview Matthias Austria  BMK endowed chair for data management  Data management for data science (ML systems internals, end-to-end data science lifecycle)  2012-2018 IBM Research – Almaden, USA  Declarative large-scale

1 SCIENCE PASSION TECHNOLOGY Introduction to Scientific Writing 02 Scientific Reading and Writing Matthias Boehm Graz University of Technology, Austria Institute of Interactive Systems and Data Science Science Computer Science and Biomedical Engineering BMK endowed chair for Data Management Last update: Nov 04, 2021 2 706.015 Introduction to Scientific Writing – 02 Scientific Reading and Writing Matthias Writing Matthias Boehm, Graz University of Technology, WS 2021/22 Scientific Reading In Computer Science (Data Management) 5 706.015 Introduction to Scientific Writing – 02 Scientific Reading and Writing

附加服务 务 2.1. AMAZON CLOUDWATCH 2.2. RED HAT OPENSHIFT API MANAGEMENT 2.3. RED HAT OPENSHIFT DATA SCIENCE 3 3 3 3 4 4 5 5 5 5 目 目录 录 1 Red Hat OpenShift Service on AWS 4 附加 附加组 组件服 件服务 务 2 第 1 其他 其他资 资源 源 Red Hat OpenShift API Management 文档 2.3. RED HAT OPENSHIFT DATA SCIENCE Red Hat OpenShift Data Science (RHODS) 允许用户集成数据和 AI 和机器学习软件，以运行端到端机器 学习工作流。它提供了一系列笔记本镜像，提供开发和部署数据模型所需的工具和库。这样，数据科学家 Red Hat OpenShift Service on AWS (ROSA)。 其他 其他资 资源 源 Red Hat OpenShift Data Science 文档 Red Hat OpenShift Data Science 产品页 第 第 2 章 章 可用的 可用的 RED HAT OPENSHIFT SERVICE ON AWS 附加服 附加服务 务 5 Red Hat

systems). Success Stories There have been a number of success stories in mathematics and computer science. Three landmark results in the formalization of mathemat- ics have been the proof of the four-color constants—e.g., 0 : N and 0 : R) can lead to undecidability [30]. Lean takes a pragmatic, computer-science-oriented approach and assumes that numerals 0, 1, 2, ... are of type N if several types are possible that can be used to build values of type nat. Following an established convention in com- puter science and logic, counting starts at zero. The second constructor is what makes this inductive definition

Introduction to Modern Data Science Sam Kreter Code and Slides github.com/samkreter/KubeconAsia2018 The Process Business Need / Problem Discovery The Process Business Need / Problem Discovery Need / Problem Discovery Development Production / Actual User Impact The Data Science Pipeline Pipelines The Data Science Pipeline Principles 1. Autonomy I HAVE A VERY PARTICULAR SET OF SKILLS 1. Github: samkreter Medium: samkreter Sources / Resources Pachyderm: http://www.pachyderm.io/ Data Science Bill of Rights: http://www.pachyderm.io/dsbor.html Azure Container Registry Build: https://docs