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Results for "diseñar algoritmos de negociación basados en modelos de machine learning"
Skills you'll gain: Exploratory Data Analysis, Unsupervised Learning, Supervised Learning, Feature Engineering, Dimensionality Reduction, Data Cleansing, Applied Machine Learning, Data Access, Regression Analysis, Data Analysis, Machine Learning, Statistical Inference, Statistical Hypothesis Testing, Data Quality, Machine Learning Algorithms, Classification And Regression Tree (CART), Scikit Learn (Machine Learning Library), Probability & Statistics, Data Validation, Predictive Modeling
New York University
Skills you'll gain: Supervised Learning, Dimensionality Reduction, Unsupervised Learning, Applied Machine Learning, Machine Learning Algorithms, Decision Tree Learning, Machine Learning, Predictive Modeling, Financial Trading, Financial Market, Reinforcement Learning, Scikit Learn (Machine Learning Library), Correlation Analysis, Finance, Exploratory Data Analysis, Python Programming, Time Series Analysis and Forecasting, Artificial Neural Networks
New York University
Skills you'll gain: Reinforcement Learning, Financial Trading, Financial Market, Derivatives, Markov Model, Risk Modeling, Financial Forecasting, Finance, Financial Modeling, Technical Analysis, Securities Trading, Portfolio Management, Market Dynamics, Machine Learning, Applied Machine Learning, Financial Analysis, Decision Making, Probability & Statistics
Universidad de los Andes
Skills you'll gain: Technical Analysis, Financial Trading, Financial Market, Performance Measurement, Capital Markets, Market Trend, Investments, Market Data, Return On Investment, Statistical Machine Learning, Financial Analysis, Machine Learning, Classification And Regression Tree (CART), Trend Analysis
New York University
Skills you'll gain: Supervised Learning, Machine Learning Methods, Applied Machine Learning, Machine Learning Algorithms, Machine Learning, Statistical Methods, Artificial Neural Networks, Statistical Modeling, Predictive Modeling, Scikit Learn (Machine Learning Library), Regression Analysis, Financial Services, Finance, Financial Market, Unsupervised Learning, Tensorflow, Reinforcement Learning
New York University
Skills you'll gain: Supervised Learning, Machine Learning Methods, Reinforcement Learning, Applied Machine Learning, Machine Learning Algorithms, Machine Learning, Statistical Methods, Dimensionality Reduction, Unsupervised Learning, Artificial Neural Networks, Statistical Modeling, Decision Tree Learning, Predictive Modeling, Financial Trading, Financial Market, Derivatives, Scikit Learn (Machine Learning Library), Markov Model, Regression Analysis, Finance
University of Washington
Skills you'll gain: Regression Analysis, Applied Machine Learning, Feature Engineering, Machine Learning, Unsupervised Learning, Artificial Intelligence and Machine Learning (AI/ML), Predictive Modeling, Classification And Regression Tree (CART), Supervised Learning, Bayesian Statistics, Statistical Modeling, Deep Learning, Data Mining, Computer Vision, Statistical Machine Learning, Text Mining, Machine Learning Algorithms, Big Data, Statistical Inference, Data Cleansing
Skills you'll gain: Exploratory Data Analysis, Unsupervised Learning, Supervised Learning, Feature Engineering, Generative AI, Dimensionality Reduction, Reinforcement Learning, Artificial Intelligence and Machine Learning (AI/ML), Data Cleansing, Applied Machine Learning, Data Access, Deep Learning, Data Analysis, Regression Analysis, Machine Learning, Statistical Analysis, Statistical Inference, Machine Learning Algorithms, Classification And Regression Tree (CART), Scikit Learn (Machine Learning Library)
Multiple educators
Skills you'll gain: Unsupervised Learning, Supervised Learning, Classification And Regression Tree (CART), Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Algorithms, Applied Machine Learning, Machine Learning, Jupyter, Data Ethics, Decision Tree Learning, Tensorflow, Scikit Learn (Machine Learning Library), NumPy, Predictive Modeling, Deep Learning, Artificial Intelligence, Reinforcement Learning, Random Forest Algorithm, Feature Engineering, Python Programming
University of Alberta
Skills you'll gain: Reinforcement Learning, Machine Learning, Artificial Intelligence, Markov Model, Applied Machine Learning, Algorithms
Skills you'll gain: Tensorflow, Supervised Learning, Artificial Neural Networks, Regression Analysis, Classification And Regression Tree (CART), Applied Machine Learning, Statistical Machine Learning, Machine Learning Algorithms, Deep Learning, Image Analysis, Machine Learning, Random Forest Algorithm, Predictive Modeling, Decision Tree Learning, Natural Language Processing, Scikit Learn (Machine Learning Library), Computer Vision
University of London
Skills you'll gain: Applied Machine Learning, Feature Engineering, Machine Learning, Artificial Intelligence, Supervised Learning, Data Analysis, Computer Vision, Data Collection, Development Testing
In summary, here are 10 of our most popular diseñar algoritmos de negociación basados en modelos de machine learning courses
- IBM Introduction to Machine Learning: IBM
- Fundamentals of Machine Learning in Finance: New York University
- Reinforcement Learning in Finance: New York University
- Algoritmos de negociación basados en machine learning: Universidad de los Andes
- Guided Tour of Machine Learning in Finance: New York University
- Machine Learning and Reinforcement Learning in Finance: New York University
- Machine Learning: University of Washington
- IBM Machine Learning: IBM
- Machine Learning: DeepLearning.AI
- Fundamentals of Reinforcement Learning: University of Alberta