課程信息
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第 4 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

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完成時間大約為16 小時

建議:5 Weeks, 3 - 5 hours per week...

英語(English)

字幕:英語(English), 中文(簡體)

您將獲得的技能

Machine Learning ConceptsKnimeMachine LearningApache Spark

第 4 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。

完成時間大約為16 小時

建議:5 Weeks, 3 - 5 hours per week...

英語(English)

字幕:英語(English), 中文(簡體)

教學大綱 - 您將從這門課程中學到什麼

1
完成時間為 24 分鐘

Welcome

2 個視頻 (總計 14 分鐘)
2 個視頻
Summary of Big Data Integration and Processing10分鐘
完成時間為 3 小時

Introduction to Machine Learning with Big Data

7 個視頻 (總計 45 分鐘), 7 個閱讀材料, 1 個測驗
7 個視頻
Categories Of Machine Learning Techniques7分鐘
Machine Learning Process3分鐘
Goals and Activities in the Machine Learning Process10分鐘
CRISP-DM5分鐘
Scaling Up Machine Learning Algorithms5分鐘
Tools Used in this Course5分鐘
7 個閱讀材料
Slides: Machine Learning Overview and Applications25分鐘
Downloading, Installing and Using KNIME1小時
Downloading and Installing the Cloudera VM Instructions (Windows)10分鐘
Downloading and Installing the Cloudera VM Instructions (Mac)10分鐘
Instructions for Downloading Hands On Datasets10分鐘
Instructions for Starting Jupyter10分鐘
PDFs of Readings for Week 1 Hands-On10分鐘
1 個練習
Machine Learning Overview20分鐘
2
完成時間為 3 小時

Data Exploration

6 個視頻 (總計 39 分鐘), 5 個閱讀材料, 2 個測驗
6 個視頻
Data Exploration4分鐘
Data Exploration through Summary Statistics7分鐘
Data Exploration through Plots8分鐘
Exploring Data with KNIME Plots9分鐘
Data Exploration in Spark5分鐘
5 個閱讀材料
Slides: Data Exploration Overview and Terminology10分鐘
Description of Daily Weather Dataset10分鐘
Exploring Data with KNIME Plots40分鐘
Data Exploration in Spark10分鐘
PDFs of Activities for Data Exploration Hands-On Readings10分鐘
2 個練習
Data Exploration20分鐘
Data Exploration in KNIME and Spark Quiz20分鐘
完成時間為 3 小時

Data Preparation

8 個視頻 (總計 42 分鐘), 4 個閱讀材料, 2 個測驗
8 個視頻
Data Quality4分鐘
Addressing Data Quality Issues4分鐘
Feature Selection5分鐘
Feature Transformation5分鐘
Dimensionality Reduction7分鐘
Handling Missing Values in KNIME5分鐘
Handling Missing Values in Spark5分鐘
4 個閱讀材料
Slides: Data Preparation for Machine Learning30分鐘
Handling Missing Values in KNIME20分鐘
Handling Missing Values in Spark10分鐘
PDFs for Data Preparation Hands-On Readings10分鐘
2 個練習
Data Preparation25分鐘
Handling Missing Values in KNIME and Spark Quiz20分鐘
3
完成時間為 4 小時

Classification

8 個視頻 (總計 60 分鐘), 7 個閱讀材料, 2 個測驗
8 個視頻
Building and Applying a Classification Model5分鐘
Classification Algorithms2分鐘
k-Nearest Neighbors4分鐘
Decision Trees13分鐘
Naïve Bayes14分鐘
Classification using Decision Tree in KNIME8分鐘
Classification in Spark6分鐘
7 個閱讀材料
Slides: What is Classification?10分鐘
Slides: Classification Algorithms10分鐘
Classification using Decision Tree in KNIME45分鐘
Interpreting a Decision Tree in KNIME20分鐘
Instructions for Changing the Number of Cloudera VM CPUs10分鐘
Classification in Spark45分鐘
PDFs for Classification Hands-On Readings10分鐘
2 個練習
Classification20分鐘
Classification in KNIME and Spark Quiz16分鐘
4
完成時間為 3 小時

Evaluation of Machine Learning Models

7 個視頻 (總計 42 分鐘), 7 個閱讀材料, 2 個測驗
7 個視頻
Overfitting in Decision Trees3分鐘
Using a Validation Set9分鐘
Metrics to Evaluate Model Performance10分鐘
Confusion Matrix7分鐘
Evaluation of Decision Tree in KNIME3分鐘
Evaluation of Decision Tree in Spark2分鐘
7 個閱讀材料
Slides: Overfitting: What is it and how would you prevent it?10分鐘
Slides: Model evaluation metrics and methods10分鐘
Evaluation of Decision Tree in KNIME30分鐘
Completed KNIME Workflows10分鐘
Evaluation of Decision Tree in Spark20分鐘
Comparing Classification Results for KNIME and Spark10分鐘
PDFs for Evaluation of Machine Learning Models Hands-On Readings10分鐘
2 個練習
Model Evaluation20分鐘
Model Evaluation in KNIME and Spark Quiz16分鐘
4.6
263 個審閱Chevron Right

45%

完成這些課程後已開始新的職業生涯

44%

通過此課程獲得實實在在的工作福利

14%

加薪或升職

來自基于大数据的机器学习的熱門評論

創建者 PRJul 19th 2018

Excellent course, I learned a lot about machine learning with big data, but most importantly I feel ready to take it into more complex level although I realized there is lots to learn.

創建者 RCSep 1st 2018

Amazing training on ML for people starting their first experiences with the topic. Practical and easy to understand examples that can be further extended by the student.

講師

Avatar

Mai Nguyen

Lead for Data Analytics
San Diego Supercomputer Center
Avatar

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 大数据 專項課程

Drive better business decisions with an overview of how big data is organized, analyzed, and interpreted. Apply your insights to real-world problems and questions. ********* Do you need to understand big data and how it will impact your business? This Specialization is for you. You will gain an understanding of what insights big data can provide through hands-on experience with the tools and systems used by big data scientists and engineers. Previous programming experience is not required! You will be guided through the basics of using Hadoop with MapReduce, Spark, Pig and Hive. By following along with provided code, you will experience how one can perform predictive modeling and leverage graph analytics to model problems. This specialization will prepare you to ask the right questions about data, communicate effectively with data scientists, and do basic exploration of large, complex datasets. In the final Capstone Project, developed in partnership with data software company Splunk, you’ll apply the skills you learned to do basic analyses of big data....
大数据

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