課程信息
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中級

完成時間大約為21 小時

建議:9 hours/week...

英語(English)

字幕:英語(English)

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。

中級

完成時間大約為21 小時

建議:9 hours/week...

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

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 個視頻 (總計 46 分鐘), 4 個閱讀材料, 3 個測驗
5 個視頻
Time-Series Regression8分鐘
Autoregression6分鐘
4 個閱讀材料
Syllabus10分鐘
Course Materials10分鐘
Set Up Your System10分鐘
Recap: Mathematical Notation10分鐘
3 個練習
Review: Supervised Learning4分鐘
Review: Regression4分鐘
Supervised Learning & Regression10分鐘
2
完成時間為 1 小時

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.

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4 個視頻 (總計 29 分鐘), 3 個測驗
4 個視頻
Missing Values7分鐘
3 個練習
Review: Getting Features
Review: Working with Features
Features10分鐘
3
完成時間為 1 小時

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.

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4 個視頻 (總計 31 分鐘), 3 個測驗
4 個視頻
Introduction to Support Vector Machines10分鐘
3 個練習
Review: Classification and K-Nearest Neighbors6分鐘
Review: Logistic Regression and Support Vector Machines5分鐘
Classification10分鐘
4
完成時間為 1 小時

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 個視頻 (總計 36 分鐘), 3 個測驗
5 個視頻
Gradient Descent in TensorFlow6分鐘
Livecoding: Tensorflow7分鐘
3 個練習
Review: Classification and Training4分鐘
Review: Gradient Descent4分鐘
More on Classification15分鐘

講師

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Julian McAuley

Assistant Professor
Computer Science
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Ilkay Altintas

Chief Data Science Officer
San Diego Supercomputer Center

關於 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....

關於 Python Data Products for Predictive Analytics 專項課程

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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