Machine Learning Specialization

Цена: Бесплатный

День проведения: По запросу

Тип: Электронное обучение

Категория: Другие ИТ/технические

Язык: Английский

Местонахождение: Онлайн

Описание тренинга:

This Specialization from leading researchers at the University of Washington introduces you to the exciting, high-demand field of Machine Learning. Through a series of practical case studies, you will gain applied experience in major areas of Machine Learning including Prediction, Classification, Clustering, and Information Retrieval. You will learn to analyze large and complex datasets, create systems that adapt and improve over time, and build intelligent applications that can make predictions from data.

Created by:

University of Washington

Industry Partners:

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Дополнительная информация

courses

4 courses

Follow the suggested order or choose your own.

projects

Projects

Designed to help you practice and apply the skills you learn.

certificates

Certificates

Highlight your new skills on your resume or LinkedIn.

Projects Overview

Learners will implement and apply predictive, classification, clustering, and information retrieval machine learning algorithms to real datasets throughout each course in the specialization. They will walk away with applied machine learning and Python programming experience.

 

COURSE 1

Machine Learning Foundations: A Case Study Approach

Commitment

6 weeks of study, 5-8 hours/week

Subtitles: English, Korean, Vietnamese, Chinese (Simplified)

About the Course

Do you have data and wonder what it can tell you? Do you need a deeper understanding of the core ways in which machine learning can improve your business? Do you want to be able to converse with specialists about anything from regression and classific

 

COURSE 2

Machine Learning: Regression

Commitment: 6 weeks of study, 5-8 hours/week

Subtitles: English

About the Course

Case Study - Predicting Housing Prices In our first case study, predicting house prices, you will create models that predict a continuous value (price) from input features (square footage, number of bedrooms and bathrooms,...).

 

COURSE 3

Machine Learning: Classification

Commitment

7 weeks of study, 5-8 hours/week

Subtitles: English

About the Course

Case Studies: Analyzing Sentiment & Loan Default Prediction In our case study on analyzing sentiment, you will create models that predict a class (positive/negative sentiment) from input features (text of the reviews, user profile information,

 

COURSE 4

Machine Learning: Clustering & Retrieval

Commitment

6 weeks of study, 5-8 hours/week

Subtitles: English

About the Course

Case Studies: Finding Similar Documents A reader is interested in a specific news article and you want to find similar articles to recommend. What is the right notion of similarity? Moreover, what if there are millions of other documents?

 

7-day Free Trial

  • Unlimited access to all courses in the Specialization

    Watch lectures, try assignments, participate in discussion forums, and more.

  • Cancel anytime.

    No penalties - simply cancel before the trial ends if it's not right for you.

  • $49 USD per month to continue learning after trial ends.

    Go as fast as you can - the faster you go, the more you save.

  • Certificate when you complete.

    Share on your resume, LinkedIn, and CV.

Выступающие:

Emily Fox

Emily Fox

Amazon Professor of Machine Learning

Carlos Guestrin

Carlos Guestrin

Amazon Professor of Machine Learning

Участие

Крайний срок регистрации 28 Сентябрь 2019

To participate in this training, you can Enroll

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Информация об учебном центре

Тип компании: Другое

Количество сотрудников: 500-1500

О компании:

Every course on Coursera is taught by top instructors from the world’s best universities and educational institutions. Courses include recorded video lectures, auto-graded and peer-reviewed assignments, and community discussion forums. When you complete a course, you’ll receive a sharable electronic Course Certificate.

 

  • Online and open to everyone
  • Learn a new skill in 4-6 weeks
  • Priced at about $29-$99
  • Earn a Course Certificate

Coursera was founded in 2012 by two Stanford Computer Science professors who wanted to share their knowledge and skills with the world. Professors Daphne Koller and Andrew Ng put their courses online for anyone to take - and taught more learners in a few months than they could have in an entire lifetime in the classroom. Since then, we’ve built a platform where anyone, anywhere can learn and earn credentials from the world’s top universities and education providers.

If you want to master a specific career skill, consider joining a Specialization. You’ll complete a series of rigorous courses, tackle hands-on projects based on real business challenges, and earn a Specialization Certificate to share with your professional network and potential employers.

  • Online and open to everyone
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  • Priced at $39-$79 per month
  • Earn a Specialization Certificate

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