課程信息
44,341 次近期查看

第 2 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。

中級

完成時間大約為10 小時

建議:17 hours/week...

英語(English)

字幕:英語(English)

您將獲得的技能

Data ScienceArtificial Intelligence (AI)Machine LearningBig DataSpark

第 2 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。

中級

完成時間大約為10 小時

建議:17 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: Introduction

6 個視頻 (總計 44 分鐘), 6 個閱讀材料, 2 個測驗
6 個視頻
What is Big Data?11分鐘
Data storage solutions5分鐘
Parallel data processing strategies of Apache Spark7分鐘
Functional programming basics6分鐘
Resilient Distributed Dataset and DataFrames - ApacheSparkSQL6分鐘
6 個閱讀材料
Course Syllabus10分鐘
Setup of the grading and exercise environment10分鐘
Exercise 1 - working with RDD10分鐘
Exercise 2 - functional programming basics with RDDs10分鐘
Exercise 3 - working with DataFrames10分鐘
Programming Lanuage Options for Apache Spark (optional)10分鐘
2 個練習
Practice Quiz (Ungraded) - Apache Spark concepts8分鐘
Apache Spark and parallel data processing
2
完成時間為 1 小時

Week 2: Scaling Math for Statistics on Apache Spark

5 個視頻 (總計 29 分鐘), 1 個閱讀材料, 2 個測驗
5 個視頻
Averages5分鐘
Standard deviation3分鐘
Skewness3分鐘
Kurtosis2分鐘
Covariance, Covariance matrices, correlation13分鐘
1 個閱讀材料
Exercise 1 - statistics and transfomrations using DataFrames10分鐘
2 個練習
Practice Quiz (Ungraded) - Statistics and API usage on Spark4分鐘
Parallelism in Apache Spark 
3
完成時間為 1 小時

Week 3: Introduction to Apache SparkML

5 個視頻 (總計 34 分鐘), 2 個閱讀材料, 3 個測驗
5 個視頻
Introduction to SparkML20分鐘
Extract - Transform - Load3分鐘
Introduction to Clustering: k-Means3分鐘
Using K-Means in Apache SparkML2分鐘
2 個閱讀材料
Exercise 1: Modifying a Apache SparkML Feature Engineering Pipeline10分鐘
Exercise 2 - Working with Clustering and Apache SparkML10分鐘
3 個練習
Practice Quiz (Ungraded) - ML Pipelines4分鐘
SparkML concepts 
Practice Quiz (Ungraded) - SparkML Algorithms
4
完成時間為 1 小時

Week 4: Supervised and Unsupervised learning with SparkML

4 個視頻 (總計 18 分鐘), 2 個閱讀材料, 2 個測驗
4 個視頻
LinearRegression with Apache SparkML6分鐘
Logistic Regression1分鐘
LogisticRegression with Apache SparkML4分鐘
2 個閱讀材料
Exercise 1 - Improving Classification performance10分鐘
Course Project10分鐘
2 個練習
Practice Quiz (Ungraded) - SparkML Algorithms (2)4分鐘
Course Project Quiz
4.0
13 個審閱Chevron Right

來自Scalable Machine Learning on Big Data using Apache Spark的熱門評論

創建者 ATSep 24th 2019

In very simple and crisp way a lot of details are covered about Apache Spark. Very good way to start.

創建者 WOSep 30th 2019

Great tutor, he loves to keep things simple and to the point. Loved the course.

講師

Avatar

Romeo Kienzler

Chief Data Scientist, Course Lead
IBM Watson IoT

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 Engineering 專業證書

The rapid pace of innovation in Artificial Intelligence (AI) is creating enormous opportunity for transforming entire industries and our very existence. After competing this comprehensive 6 course Professional Certificate, you will get a practical understanding of Machine Learning and Deep Learning. You will master fundamental concepts of Machine Learning and Deep Learning, including supervised and unsupervised learning. You will utilize popular Machine Learning and Deep Learning libraries such as SciPy, ScikitLearn, Keras, PyTorch, and Tensorflow applied to industry problems involving object recognition and Computer Vision, image and video processing, text analytics, Natural Language Processing, recommender systems, and other types of classifiers. You will be able to scale Machine Learning on Big Data using Apache Spark. You will build, train, and deploy different types of Deep Architectures, including Convolutional Networks, Recurrent Networks, and Autoencoders. By the end of this Professional Certificate, you will have completed several projects showcasing your proficiency in Machine Learning and Deep Learning, and become armed with skills for a career as an AI Engineer....
IBM AI Engineering

常見問題

  • 注册以便获得证书后,您将有权访问所有视频、测验和编程作业(如果适用)。只有在您的班次开课之后,才可以提交和审阅同学互评作业。如果您选择在不购买的情况下浏览课程,可能无法访问某些作业。

  • 您注册课程后,将有权访问证书中的所有课程,并且会在完成作业后获得证书。您的电子证书将添加到您的成就页中,您可以通过该页打印证书或将其添加到您的领英档案中。如果您只想阅读和查看课程内容,可以免费旁听课程。

還有其他問題嗎?請訪問 學生幫助中心