courseraАнализ данных

Sequences, Time Series and Prediction

Курс от DeepLearning.AI

Средний≈ 21.7 чАнглийский

О курсе

If you are a software developer who wants to build scalable AI-powered algorithms, you need to understand how to use the tools to build them. This Specialization will teach you best practices for using TensorFlow, a popular open-source framework for machine learning. In this fourth course, you will learn how to build time series models in TensorFlow. You’ll first implement best practices to prepare time series data. You’ll also explore how RNNs and 1D ConvNets can be used for prediction. Finally, you’ll apply everything you’ve learned throughout the Specialization to build a sunspot prediction model using real-world data! The Machine Learning course and Deep Learning Specialization from Andrew Ng teach the most important and foundational principles of Machine Learning and Deep Learning. This new DeepLearning.AI TensorFlow Developer Specialization teaches you how to use TensorFlow to implement those principles so that you can start building and applying scalable models to real-world problems. To develop a deeper understanding of how neural networks work, we recommend that you take the Deep Learning Specialization.

Навыки, которые вы освоите

Time Series Analysis and Forecasting Recurrent Neural Networks (RNNs)Convolutional Neural Networks Predictive Modeling Deep Learning Artificial Neural Networks Forecasting Applied Machine Learning Machine Learning Machine Learning Methods Tensorflow Data Preprocessing

Программа курса

4 модулей · 78 учебных материалов

01Sequences and Prediction21 материалов

Introduction

Introduction: A conversation with Andrew NgВидео Welcome to the course!Чтение

Sequences and Prediction

Time series examplesВидео Machine learning applied to time seriesВидео

Учитесь у экспертов

Laurence Moroney

Instructor

В каталоге вашей программы

Инвестируйте в себя

Новые знания — в удобное для вас время.

Начать на Coursera

Обучение откроется на Coursera
в новой вкладке

Обучение на Coursera

≈ 21.7 ч

4 модулей

Язык: Английский

Субтитры: Арабский, Французский, Бенгальский, Узбекский, Украинский, Китайский (Китай), Греческий, Итальянский, Бразильский португальский, Вьетнамский, Нидерландский, Корейский, Немецкий, Пушту, Урду, Русский, Тайский, Индонезийский, Шведский, Турецкий, Азербайджанский, Испанский, Дари, Хинди, Японский, Казахский, Венгерский, Польский

Sequences, Time Series and Prediction

О курсе

Навыки, которые вы освоите

Программа курса

Introduction

Sequences and Prediction

Учитесь у экспертов

Laurence Moroney

Lecture Notes (Optional)

Weekly Assignment - Create and predict synthetic data

Deep Neural Networks for Time Series

Lecture Notes (Optional)

Weekly Assignment - Prediction with a DNN

Recurrent Neural Networks for time series

Lecture Notes (Optional)

Weekly Assignment - Using layers for sequence processing

Real-world time series data

Lecture Notes (Optional)

End of Access to Lab Notebooks

Weekly Assignment - Adding Convolutions

Course 4 Wrap up

References and Acknowledgments

TensorFlow in practice has come to an end