About this Course

최근 조회 263,674

100% 온라인

지금 바로 시작해 나만의 일정에 따라 학습을 진행하세요.

다음 전문 분야의 3개 강좌 중 1번째 강좌:

유동적 마감일

일정에 따라 마감일을 재설정합니다.

중급 단계

완료하는 데 약 13시간 필요

권장: 20 hours/week...

영어

자막: 영어

귀하가 습득할 기술

Machine LearningFinanceTradingInvestment

100% 온라인

지금 바로 시작해 나만의 일정에 따라 학습을 진행하세요.

다음 전문 분야의 3개 강좌 중 1번째 강좌:

유동적 마감일

일정에 따라 마감일을 재설정합니다.

중급 단계

완료하는 데 약 13시간 필요

권장: 20 hours/week...

영어

자막: 영어

강의 계획 - 이 강좌에서 배울 내용

1

1

완료하는 데 1시간 필요

Introduction to Trading, Machine Learning and GCP

완료하는 데 1시간 필요
13개 동영상 (총 57분), 1 reading, 3 quizzes
13개의 동영상
Trading vs Investing6m
The Quant Universe2m
Quant Strategies7m
Quant Trading Advantages and Disadvantages4m
Exchange and Statistical Arbitrage8m
Index Arbitrage2m
Statistical Arbitrage Opportunities and Challenges5m
Introduction to Backtesting5m
Backtesting Design6m
What is AI and ML ? What is the difference between AI and ML?58
Applications of ML in the Real World1m
What is ML?3m
1개의 읽기 자료
Welcome to Introduction to Trading, Machine Learning and GCP10m
3개 연습문제
Introduction to Trading5m
Python Skills Assessment Quiz
Intro to AI and ML5m
2

2

완료하는 데 3시간 필요

Supervised Learning and Forecasting

완료하는 데 3시간 필요
13개 동영상 (총 72분), 3 quizzes
13개의 동영상
Regression and classification11m
Short history of ML: Linear Regression7m
Short history of ML: Perceptron5m
Lab Intro: Building a Regression Model37
Introduction to Qwiklabs3m
Lab Walkthrough: Building a Regression Model9m
What is forecasting? - part 15m
What is forecasting? - part 24m
Choosing the right model and BQML - part 13m
Choosing the right model and BQML - part 22m
Lab Intro: Forecasting Stock Prices using Regression in BQML36
Lab Walkthrough: Forecasting Stock Prices using Regression in BQML12m
1개 연습문제
Forecasting
3

3

완료하는 데 2시간 필요

Time Series and ARIMA Modeling

완료하는 데 2시간 필요
11개 동영상 (총 52분), 2 quizzes
11개의 동영상
AR - Auto Regressive7m
MA - Moving Average2m
The Complete ARIMA Model4m
ARIMA compared to linear regression7m
How can you get a variety of models from just a single series?1m
How to choose ARIMA parameters for your trading model4m
Time Series Terminology: Auto Correlation4m
Sensitivity of Trading Strategy4m
Lab Intro: Forecasting Stock Prices Using ARIMA32
Lab Walkthrough: Forecasting Stock Prices using ARIMA7m
1개 연습문제
Time Series
4

4

완료하는 데 1시간 필요

Introduction to Neural Networks and Deep Learning

완료하는 데 1시간 필요
9개 동영상 (총 36분), 3 quizzes
9개의 동영상
Short history of ML: Modern Neural Networks8m
Overfitting and Underfitting6m
Validation and Training Data Splits4m
Why Google?1m
Why Google Cloud Platform?2m
What are AI Platform Notebooks1m
Using Notebooks1m
Benefits of AI Platform Notebooks2m
3개 연습문제
Model generalization
Google Cloud
Module Quiz8m
3.8

47개의 리뷰

Chevron Right

Introduction to Trading, Machine Learning & GCP의 최상위 리뷰

대학: AAJan 13th 2020

Good course that gives a lot of breadth as an introduction to machine learning in finance. Well put together

대학: CRJan 2nd 2020

Other courses recommended before doing this one! Basics of ML, Basics of the stock market, python and sql

강사

Image of instructor, Jack Farmer

Jack Farmer

Curriculum Director
New York Institute of Finance
Image of instructor, Ram Seshadri

Ram Seshadri

Machine Learning Consultant
Google Cloud Platform

Google 클라우드 정보

We help millions of organizations empower their employees, serve their customers, and build what’s next for their businesses with innovative technology created in—and for—the cloud. Our products are engineered for security, reliability, and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping customers apply our technologies to create success....

New York Institute of Finance 정보

The New York Institute of Finance (NYIF), is a global leader in training for financial services and related industries. Started by the New York Stock Exchange in 1922, it now trains 250,000+ professionals in over 120 countries. NYIF courses cover everything from investment banking, asset pricing, insurance and market structure to financial modeling, treasury operations, and accounting. The institute has a faculty of industry leaders and offers a range of program delivery options, including self-study, online courses, and in-person classes. Its US customers include the SEC, the Treasury, Morgan Stanley, Bank of America and most leading worldwide banks....

Machine Learning for Trading 전문 분야 정보

This Specialization is for finance professionals, including but not limited to: hedge fund traders, analysts, day traders, those involved in investment management or portfolio management, and anyone interested in gaining greater knowledge of how to construct effective trading strategies using Machine Learning. Alternatively, this specialization can be for machine learning professionals who seek to apply their craft to quantitative trading strategies. The courses will teach you how to create various trading strategies using Python. By the end of the Specialization, you will be able to create long-term trading strategies, short-term trading strategies, and hedging strategies. To be successful in this Specialization, you should have a basic competency in Python programming and familiarity with pertinent libraries for machine learning, such as Scikit-Learn, StatsModels, and Pandas. Experience with SQL will be helpful. You should have a background in statistics (expected values and standard deviation, Gaussian distributions, higher moments, probability, linear regressions) and foundational knowledge of financial markets (equities, bonds, derivatives, market structure, hedging)....
Machine Learning for Trading

자주 묻는 질문

  • 강좌에 등록하면 바로 모든 비디오, 테스트 및 프로그래밍 과제(해당하는 경우)에 접근할 수 있습니다. 상호 첨삭 과제는 이 세션이 시작된 경우에만 제출하고 검토할 수 있습니다. 강좌를 구매하지 않고 살펴보기만 하면 특정 과제에 접근하지 못할 수 있습니다.

  • 강좌를 등록하면 전문 분야의 모든 강좌에 접근할 수 있고 강좌를 완료하면 수료증을 취득할 수 있습니다. 전자 수료증이 성취도 페이지에 추가되며 해당 페이지에서 수료증을 인쇄하거나 LinkedIn 프로필에 수료증을 추가할 수 있습니다. 강좌 내용만 읽고 살펴보려면 해당 강좌를 무료로 청강할 수 있습니다.

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