课程信息
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中级

完成时间大约为21 小时

建议:9 hours/week...

英语(English)

字幕:英语(English)

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。

中级

完成时间大约为21 小时

建议:9 hours/week...

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

Week 1: Supervised Learning & Regression

Welcome to the second course in this specialization! This week, 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 supervised learning and regression.

...
5 个视频 (总计 46 分钟), 4 个阅读材料, 3 个测验
5 个视频
Time-Series Regression8分钟
Autoregression6分钟
4 个阅读材料
Syllabus10分钟
Course Materials10分钟
Set Up Your System10分钟
Recap: Mathematical Notation10分钟
3 个练习
Review: Supervised Learning4分钟
Review: Regression4分钟
Supervised Learning & Regression10分钟
2
完成时间为 1 小时

Week 2: Features

This week, we will learn what features are in a dataset and how we can work with them through cleaning, manipulation, and analysis in Jupyter notebooks.

...
4 个视频 (总计 29 分钟), 3 个测验
4 个视频
Missing Values7分钟
3 个练习
Review: Getting Features
Review: Working with Features
Features10分钟
3
完成时间为 1 小时

Week 3: Classification

This week, we will learn about classification and several ways you can implement it, such as K-nearest neighbors, logistic regression, and support vector machines.

...
4 个视频 (总计 31 分钟), 3 个测验
4 个视频
Introduction to Support Vector Machines10分钟
3 个练习
Review: Classification and K-Nearest Neighbors6分钟
Review: Logistic Regression and Support Vector Machines5分钟
Classification10分钟
4
完成时间为 1 小时

Week 4: Gradient Descent

This week, we will learn the importance of properly training and testing a model. We will also implement gradient descent in both Python and TensorFlow.

...
5 个视频 (总计 36 分钟), 3 个测验
5 个视频
Gradient Descent in TensorFlow6分钟
Livecoding: Tensorflow7分钟
3 个练习
Review: Classification and Training4分钟
Review: Gradient Descent4分钟
More on Classification15分钟

讲师

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Julian McAuley

Assistant Professor
Computer Science
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Ilkay Altintas

Chief Data Science Officer
San Diego Supercomputer Center

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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