이 강좌에 대하여

최근 조회 86,003
공유 가능한 수료증
완료 시 수료증 획득
100% 온라인
지금 바로 시작해 나만의 일정에 따라 학습을 진행하세요.
다음 특화 과정의 6개 강좌 중 2번째 강좌:
유동적 마감일
일정에 따라 마감일을 재설정합니다.
중급 단계
완료하는 데 약 5시간 필요
영어
자막: 영어

귀하가 습득할 기술

Data ScienceArtificial Intelligence (AI)Machine LearningBig DataSpark
공유 가능한 수료증
완료 시 수료증 획득
100% 온라인
지금 바로 시작해 나만의 일정에 따라 학습을 진행하세요.
다음 특화 과정의 6개 강좌 중 2번째 강좌:
유동적 마감일
일정에 따라 마감일을 재설정합니다.
중급 단계
완료하는 데 약 5시간 필요
영어
자막: 영어

제공자:

IBM 로고

IBM

강의 계획 - 이 강좌에서 배울 내용

1

1

완료하는 데 2시간 필요

Week 1: Introduction

완료하는 데 2시간 필요
6개 동영상 (총 44분), 6 개의 읽기 자료, 2 개의 테스트
6개의 동영상
What is Big Data?11m
Data storage solutions5m
Parallel data processing strategies of Apache Spark7m
Functional programming basics6m
Resilient Distributed Dataset and DataFrames - ApacheSparkSQL6m
6개의 읽기 자료
Course Syllabus10m
Setup of the grading and exercise environment10m
Exercise 1 - working with RDD10m
Exercise 2 - functional programming basics with RDDs10m
Exercise 3 - working with DataFrames10m
Programming Lanuage Options for Apache Spark (optional)10m
2개 연습문제
Practice Quiz (Ungraded) - Apache Spark concepts8m
Apache Spark and parallel data processing
2

2

완료하는 데 1시간 필요

Week 2: Scaling Math for Statistics on Apache Spark

완료하는 데 1시간 필요
8개 동영상 (총 52분), 3 개의 읽기 자료, 4 개의 테스트
8개의 동영상
Standard deviation3m
Skewness3m
Kurtosis2m
Covariance, Covariance matrices, correlation13m
Plotting with ApacheSpark and python's matplotlib12m
Dimensionality reduction4m
PCA5m
3개의 읽기 자료
Exercise 1 - statistics and transfomrations using DataFrames10m
Exercise on Plotting10m
Exercise on PCA10m
4개 연습문제
Practice Quiz (Ungraded) - Statistics and API usage on Spark4m
Parallelism in Apache Spark 
Questions on Plotting
Questions on PCA
3

3

완료하는 데 1시간 필요

Week 3: Introduction to Apache SparkML

완료하는 데 1시간 필요
5개 동영상 (총 34분), 2 개의 읽기 자료, 3 개의 테스트
5개의 동영상
Introduction to SparkML20m
Extract - Transform - Load3m
Introduction to Clustering: k-Means3m
Using K-Means in Apache SparkML2m
2개의 읽기 자료
Exercise 1: Modifying a Apache SparkML Feature Engineering Pipeline10m
Exercise 2 - Working with Clustering and Apache SparkML10m
3개 연습문제
Practice Quiz (Ungraded) - ML Pipelines4m
SparkML concepts 
Practice Quiz (Ungraded) - SparkML Algorithms
4

4

완료하는 데 1시간 필요

Week 4: Supervised and Unsupervised learning with SparkML

완료하는 데 1시간 필요
4개 동영상 (총 18분), 2 개의 읽기 자료, 2 개의 테스트
4개의 동영상
LinearRegression with Apache SparkML6m
Logistic Regression1m
LogisticRegression with Apache SparkML4m
2개의 읽기 자료
Exercise 1 - Improving Classification performance10m
Course Project10m
2개 연습문제
Practice Quiz (Ungraded) - SparkML Algorithms (2)4m
Course Project Quiz

검토

SCALABLE MACHINE LEARNING ON BIG DATA USING APACHE SPARK의 최상위 리뷰

모든 리뷰 보기

IBM AI Engineering 전문 자격증 정보

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

자주 묻는 질문

  • Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:

    • The course may not offer an audit option. You can try a Free Trial instead, or apply for Financial Aid.

    • The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.

  • When you enroll in the course, you get access to all of the courses in the Certificate, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.

  • If you subscribed, you get a 7-day free trial during which you can cancel at no penalty. After that, we don’t give refunds, but you can cancel your subscription at any time. See our full refund policy.

궁금한 점이 더 있으신가요? 학습자 도움말 센터를 방문해 보세요.