courseraАнализ данных

Guided Tour of Machine Learning in Finance

Курс от New York University

Средний≈ 24.4 чАнглийский

О курсе

This course aims at providing an introductory and broad overview of the field of ML with the focus on applications on Finance. Supervised Machine Learning methods are used in the capstone project to predict bank closures. Simultaneously, while this course can be taken as a separate course, it serves as a preview of topics that are covered in more details in subsequent modules of the specialization Machine Learning and Reinforcement Learning in Finance. The goal of Guided Tour of Machine Learning in Finance is to get a sense of what Machine Learning is, what it is for and in how many different financial problems it can be applied to. The course is designed for three categories of students: Practitioners working at financial institutions such as banks, asset management firms or hedge funds Individuals interested in applications of ML for personal day trading Current full-time students pursuing a degree in Finance, Statistics, Computer Science, Mathematics, Physics, Engineering or other related disciplines who want to learn about practical applications of ML in Finance Experience with Python (including numpy, pandas, and IPython/Jupyter notebooks), linear algebra, basic probability theory and basic calculus is necessary to complete assignments in this course.

Навыки, которые вы освоите

Artificial Neural Networks Scikit Learn (Machine Learning Library)Logistic Regression Machine Learning Tensorflow Regression Analysis Supervised Learning Reinforcement Learning Model Training Machine Learning Methods Statistical Modeling Model Evaluation Predictive Modeling Statistical Methods Jupyter Deep Learning Applied Machine Learning Statistical Machine Learning

Программа курса

4 модулей · 59 учебных материалов

01Artificial Intelligence & Machine Learning15 материалов

Introduction to the Specialization "Machine Learning and Reinforcement Learning in Finance"

Welcome NoteВидео Specialization ObjectivesВидео Specialization PrerequisitesВидео

Artificial Intelligence and Machine Learning

Artificial Intelligence and Machine Learning, Part IВидео

Учитесь у экспертов

Igor Halperin

Преподаватель курса

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

≈ 24.4 ч

4 модулей

Язык: Английский

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

Guided Tour of Machine Learning in Finance

О курсе

Навыки, которые вы освоите

Программа курса

Introduction to the Specialization "Machine Learning and Reinforcement Learning in Finance"

Artificial Intelligence and Machine Learning

Учитесь у экспертов

Igor Halperin

Machine Learning as a Foundation of Artificial Intelligence

Machine Learning in Finance vs Machine Learning in Tech

Readings

Module 1 Assessment

Generalization and a Bias-Variance Tradeoff

Readings

Module 2 Assessment

Introduction to Neural Networks and Tensor Flow

Readings

Module 3 Assessment

Prediction of Earning per Share (EPS) with Scikit-learn and TensorFlow

Machine Learning with Probabilistic Models (Classification Tasks)

Readings

Module 4 Assessment

Module 4 Project