课程信息
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英语(English)

字幕:英语(English)

您将学到的内容有

  • Check

    Project structure of interactive Python data applications

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    Python web server frameworks: (e.g.) Flask, Django, Dash

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    Best practices around deploying ML models and monitoring performance

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    Deployment scripts, serializing models, APIs

您将获得的技能

Python ProgrammingBig Data ProductsRecommender Systems

100% 在线

立即开始,按照自己的计划学习。

可灵活调整截止日期

根据您的日程表重置截止日期。

英语(English)

字幕:英语(English)

教学大纲 - 您将从这门课程中学到什么

1
完成时间为 2 小时

Introduction

Welcome to the first week of Deploying Machine Learning Models! We will go over the syllabus, download all course materials, and get your system up and running for the course. We will also introduce the basics of recommender systems and differentiate it from other types of machine learning

...
5 个视频 (总计 54 分钟), 3 个阅读材料, 3 个测验
5 个视频
Recommender Systems versus Other Forms of Supervised Learning7分钟
Collaborative Filtering-Based Recommendation19分钟
Latent Factor Models (Part 1)11分钟
Latent Factor Models (Part 2)11分钟
3 个阅读材料
Syllabus10分钟
Course Materials10分钟
Setting Up Your System10分钟
3 个练习
Review: Recommender Systems4分钟
Review: Introduction to Latent Factor Models4分钟
Recommender Systems and Latent Factor Models20分钟
2
完成时间为 19 分钟

Implementing Recommender Systems

This week, we will learn how to implement a similarity-based recommender, returning predictions similar to an user's given item. We will cover how to optimize these models based on gradient descent and Jaccard similarity.

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3 个测验
3 个练习
Review: Similarity-Based Recommenders5分钟
Review: Implementing Latent Factor Models4分钟
Implementing Recommender Systems10分钟
3
完成时间为 5 分钟

Deploying Recommender Systems

This week, we will learn about Python web server frameworks and the overall structure of interactive Python data applications. We will also cover some tips for best practices on deploying and monitoring your applications.

...
1 个测验
1 个练习
Deploying Recommender Systems5分钟
4
完成时间为 2 小时

Project 4: Recommender System

For this final project, you will build a recommender system of your own. Find a dataset, clean it, and create a predictive system from the dataset. This will help prepare you for the upcoming capstone, where you will harness your skills from all courses of this specialization into one single project!

...
2 个阅读材料, 1 个测验
2 个阅读材料
Project Description10分钟
How to Find a Dataset10分钟

讲师

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Ilkay Altintas

Chief Data Science Officer
San Diego Supercomputer Center
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Julian McAuley

Assistant Professor
Computer Science

关于 加州大学圣地亚哥分校

UC San Diego is an academic powerhouse and economic engine, recognized as one of the top 10 public universities by U.S. News and World Report. Innovation is central to who we are and what we do. Here, students learn that knowledge isn't just acquired in the classroom—life is their laboratory....

关于 Python Data Products for Predictive Analytics 专项课程

Python data products are powering the AI revolution. Top companies like Google, Facebook, and Netflix use predictive analytics to improve the products and services we use every day. Take your Python skills to the next level and learn to make accurate predictions with data-driven systems and deploy machine learning models with this four-course Specialization from UC San Diego. This Specialization is for learners who are proficient with the basics of Python. You’ll start by creating your first data strategy. You’ll also develop statistical models, devise data-driven workflows, and learn to make meaningful predictions for a wide-range of business and research purposes. Finally, you’ll use design thinking methodology and data science techniques to extract insights from a wide range of data sources. This is your chance to master one of the technology industry’s most in-demand skills. Python Data Products for Predictive Analytics is taught by Professor Ilkay Altintas, Ph.D. and Julian McAuley. Dr. Alintas is a prominent figure in the data science community and the designer of the highly-popular Big Data Specialization on Coursera. She has helped educate hundreds of thousands of learners on how to unlock value from massive datasets....
Python Data Products for Predictive Analytics

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