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Introduction to Machine Learning with Python · LearnSpace
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Introduction to Machine Learning with Python

Курс от Arizona State University
Начальный≈ 12.7 чАнглийский
О курсеНавыкиПрограммаПреподаватели

О курсе

This course will give you an introduction to machine learning with the Python programming language. You will learn about supervised learning, unsupervised learning, deep learning, image processing, and generative adversarial networks. You will implement machine learning models using Python and will learn about the many applications of machine learning used in industry today. You will also learn about and use different machine learning algorithms to create your models. You do not need a programming or computer science background to learn the material in this course. This course is open to anyone who is interested in learning how to code and write programs in Python. We are very excited that you will be learning with us and hope you enjoy the course!

Навыки, которые вы освоите

Regression AnalysisApplied Machine LearningMachine Learning AlgorithmsUnsupervised LearningImage AnalysisData ProcessingSupervised LearningGenerative Adversarial Networks (GANs)Deep LearningMachine Learning MethodsArtificial Neural NetworksModel EvaluationGenerative Model ArchitecturesModel TrainingClassification AlgorithmsMachine LearningGenerative AIPython ProgrammingComputer ProgrammingComputer Vision

Программа курса

4 модулей · 57 учебных материалов

01Course Introduction2 материалов

Course Introduction and Python Recommended Links and Readings

Introduction to the CourseВидеоPython Recommended Links and ReadingsЧтение
02Module 1: Introduction to Machine Learning 21 материалов

Module 1 Lesson 1: Introduction to Machine Learning

Lesson 1 OverviewЧтение

Учитесь у экспертов

Adwith Malpe

Assistant Teaching Professor

Introduction to Machine Learning with Python
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Обучение откроется на Coursera
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Обучение на Coursera

≈ 12.7 ч

4 модулей

Язык: Английский

Субтитры: Арабский, Французский, Итальянский, Бразильский португальский, Корейский, Немецкий, Испанский, Японский

Часть программы вашего университета
Weekly Lesson PowerPointЧтение
Overview of Machine LearningВидео
Introduction to Supervised LearningВидео
Supervised Learning ExampleЧтение
Introduction to Unsupervised LearningВидео
Unsupervised Learning ExampleЧтение
Machine Learning QuizЗадание

Module 1 Lesson 2: Introduction to Datasets

Lesson 2 OverviewЧтениеWeekly Lesson PowerPointЧтениеHow to Load and Process Data SetsВидеоDatasets QuizЗадание

Module 1 Lesson 3: Introduction to Supervised Learning Algorithms, Part 1

Lesson 3 OverviewЧтениеWeekly Lesson PowerPointЧтениеWhat is a PerceptronВидеоPerceptron Code ExampleЧтение

Module 1 Lesson 4: Linear Regression

Lesson 4 OverviewЧтениеWeekly Lesson PowerPointЧтениеWhat is Linear Regression?ВидеоLinear Regression Code ExampleЧтениеFormative Assessment: Perceptrons and Linear RegressionЗадание
03Module 2: More Supervised Learning Algorithms 19 материалов

Module 2 Lesson 1: Introduction to Supervised Learning Algorithms, Part 2

Lesson 1 OverviewЧтениеWeekly Lesson PowerPointЧтениеWhat is K-Nearest NeighborsВидеоKNN Code ExampleЧтение

Module 2 Lesson 2: Introduction to Supervised Learning Algorithms, Part 3

Lesson 2 OverviewЧтениеWeekly Lesson PowerPointЧтениеWhat are Support Vector Machines?ВидеоSupport Vector Machines Code ExampleЧтениеSupervised Learning QuizЗадание

Module 2 Lesson 3: Introduction to Unsupervised Learning Algorithms, Part 1

Lesson 3 OverviewЧтениеWeekly Lesson PowerPointЧтениеWhat is Regression Analysis?ВидеоUnsupervised Learning Quiz Задание

Module 2 Lesson 4: Introduction to Unsupervised Learning Algorithms, Part 2

Lesson 4 OverviewЧтениеWeekly Lesson PowerPointЧтениеWhat is Cluster Analysis? (K-Means and DBSCAN)ВидеоK-Means Clustering Code Example ЧтениеUnsupervised LearningОбсуждениеFormative Assessment: Supervised LearningЗадание
04Module 3: Advanced Machine Learning Topics15 материалов

Module 3 Lesson 1: Deep Learning

Lesson 1 OverviewЧтениеWeekly Lesson PowerPointЧтениеOverview of Deep LearningВидеоDeep Learning Quiz Задание

Module 3 Lesson 2: Image Processing

Lesson 2 OverviewЧтениеWeekly Lesson PowerPointЧтениеOverview of Image ProcessingВидеоImage Processing CodeЗадание

Module 3 Lesson 3: Generative Adversarial Networks

Lesson 3 OverviewЧтениеWeekly Lesson PowerPointЧтениеOverview of GANsВидеоGenerative Adversarial Networks ОбсуждениеGenerative Adversarial Networks ЗаданиеCourse ReviewВидеоMake a Classifier
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