課程信息
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第 6 門課程(共 6 門)

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英語(English)

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您將獲得的技能

Data ScienceInformation EngineeringArtificial Intelligence (AI)Machine LearningPython Programming

第 6 門課程(共 6 門)

100% 在線

立即開始,按照自己的計劃學習。

可靈活調整截止日期

根據您的日程表重置截止日期。

高級

英語(English)

字幕:英語(English)

教學大綱 - 您將從這門課程中學到什麼

1
完成時間為 2 小時

Untitled Module

6 個視頻 (總計 27 分鐘), 16 個閱讀材料, 2 個測驗
6 個視頻
Performance Monitoring Business Metrics1分鐘
Operationalize Trusted AI with IBM Watson OpenScale2分鐘
Model Deployment Case Study1分鐘
Kubernetes Explained10分鐘
Kubernetes vs. Docker: It's Not an Either/Or Question8分鐘
16 個閱讀材料
Feedback loops and unit tests: Through the eyes of our Working Example
Feedback loops4分鐘
Unit tests4分鐘
Unit testing in Python3分鐘
Test-Driven Development (TDD)3分鐘
CI/CD3分鐘
Performance Monitoring: Through the eyes of our Working Example3分鐘
Logging3分鐘
Minimal requirements for log files4分鐘
Logging in Python4分鐘
Model performance drift
Watson OpenScale: Through the eyes of our Working Example4分鐘
Getting started (hands-on)45分鐘
Model Deployment Case Study: Through the eyes of our Working Example4分鐘
Getting started (hands-on)10分鐘
Kubernetes Explained: Through the eyes of our Working Example4分鐘
2 個練習
Check for Understanding2分鐘
Check for Understanding2分鐘

講師

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Mark J Grover

Digital Content Delivery Lead
IBM Data & AI Learning
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Ray Lopez, Ph.D.

Data Science Curriculum Leader
IBM Data & Artificial Intelligence

關於 IBM

IBM offers a wide range of technology and consulting services; a broad portfolio of middleware for collaboration, predictive analytics, software development and systems management; and the world's most advanced servers and supercomputers. Utilizing its business consulting, technology and R&D expertise, IBM helps clients become "smarter" as the planet becomes more digitally interconnected. IBM invests more than $6 billion a year in R&D, just completing its 21st year of patent leadership. IBM Research has received recognition beyond any commercial technology research organization and is home to 5 Nobel Laureates, 9 US National Medals of Technology, 5 US National Medals of Science, 6 Turing Awards, and 10 Inductees in US Inventors Hall of Fame....

關於 IBM AI Enterprise Workflow 專項課程

This six course specialization is designed to prepare you to take the certification examination for IBM AI Enterprise Workflow V1 Data Science Specialist. IBM AI Enterprise Workflow is a comprehensive, end-to-end process that enables data scientists to build AI solutions, starting with business priorities and working through to taking AI into production. The learning aims to elevate the skills of practicing data scientists by explicitly connecting business priorities to technical implementations, connecting machine learning to specialized AI use cases such as visual recognition and NLP, and connecting Python to IBM Cloud technologies. The videos, readings, and case studies in these courses are designed to guide you through your work as a data scientist at a hypothetical streaming media company. Throughout this specialization, the focus will be on the practice of data science in large, modern enterprises. You will be guided through the use of enterprise-class tools on the IBM Cloud, tools that you will use to create, deploy and test machine learning models. Your favorite open source tools, such a Jupyter notebooks and Python libraries will be used extensively for data preparation and building models. Models will be deployed on the IBM Cloud using IBM Watson tooling that works seamlessly with open source tools. After successfully completing this specialization, you will be ready to take the official IBM certification examination for the IBM AI Enterprise Workflow....
IBM AI Enterprise Workflow

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