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Results for "técnicas avanzadas en data science, machine learning y deep learning."
Skills you'll gain: PyTorch (Machine Learning Library), Supervised Learning, Feature Engineering, Generative AI, Keras (Neural Network Library), Jupyter, Unsupervised Learning, Natural Language Processing, Reinforcement Learning, Deep Learning, Scikit Learn (Machine Learning Library), Machine Learning Algorithms, Data Manipulation, Tensorflow, Python Programming, Verification And Validation, Applied Machine Learning, ChatGPT, Artificial Neural Networks, Statistical Machine Learning
Multiple educators
Skills you'll gain: Tensorflow, Keras (Neural Network Library), Machine Learning, Google Cloud Platform, Machine Learning Algorithms, Applied Machine Learning, Financial Trading, Reinforcement Learning, Supervised Learning, Data Pipelines, Time Series Analysis and Forecasting, Statistical Machine Learning, Technical Analysis, Deep Learning, Portfolio Management, Securities Trading, Artificial Intelligence and Machine Learning (AI/ML), Market Data, Financial Market, Artificial Neural Networks
Duke University
Skills you'll gain: MLOps (Machine Learning Operations), Data Management, Data Quality, Technical Management, Applied Machine Learning, Data Processing, Software Development Life Cycle, Machine Learning, Data Cleansing, Technology Solutions, Data Collection, Data Science, Systems Architecture, System Design and Implementation, Continuous Monitoring, Software Versioning
University of Michigan
Skills you'll gain: Feature Engineering, Applied Machine Learning, Supervised Learning, Scikit Learn (Machine Learning Library), Predictive Modeling, Machine Learning, Unsupervised Learning, Classification And Regression Tree (CART), Dimensionality Reduction, Random Forest Algorithm, Regression Analysis, Artificial Neural Networks
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
University of Alberta
Skills you'll gain: Reinforcement Learning, Machine Learning, Sampling (Statistics), Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Machine Learning Algorithms, Deep Learning, Systems Development, Simulations, Solution Architecture, Feature Engineering, Markov Model, Supervised Learning, Artificial Neural Networks, Applied Machine Learning, Performance Testing, Algorithms, Statistical Methods, Pseudocode, Linear Algebra
DeepLearning.AI
Skills you'll gain: Unsupervised Learning, Artificial Intelligence and Machine Learning (AI/ML), Data Ethics, Machine Learning, Machine Learning Algorithms, Supervised Learning, Artificial Intelligence, Reinforcement Learning, Artificial Neural Networks, Deep Learning, Anomaly Detection, Dimensionality Reduction, Algorithms, Regression Analysis
Skills you'll gain: Supervised Learning, Data Modeling, Applied Machine Learning, Data Analysis, Machine Learning Algorithms, Regression Analysis, Unsupervised Learning, Artificial Intelligence, Classification And Regression Tree (CART), Tensorflow, Deep Learning, Data Science, Keras (Neural Network Library), Machine Learning, Predictive Modeling, Data Mining, Artificial Neural Networks, Predictive Analytics, Artificial Intelligence and Machine Learning (AI/ML), Data Ethics
Duke University
Skills you'll gain: Deep Learning, Unsupervised Learning, Classification And Regression Tree (CART), Machine Learning, Regression Analysis, Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Computer Vision, Supervised Learning, Statistical Methods, Natural Language Processing, Predictive Modeling, Performance Metric
Johns Hopkins University
Skills you'll gain: Rmarkdown, Exploratory Data Analysis, Version Control, Statistical Analysis, R Programming, Data Manipulation, Data Cleansing, Data Science, Data Visualization, Statistical Programming, Ggplot2, Dimensionality Reduction, Data Visualization Software, Data Integration, Knitr, Data Analysis, Data Import/Export, General Science and Research, Data Sharing, Statistical Reporting
Skills you'll gain: Unsupervised Learning, Dimensionality Reduction, Scikit Learn (Machine Learning Library), Machine Learning Algorithms, Feature Engineering, Machine Learning, Statistical Machine Learning, Text Mining, Data Mining, Data Science, Unstructured Data, Big Data, NumPy, Data Analysis, Natural Language Processing, Linear Algebra
Skills you'll gain: Exploratory Data Analysis, Unsupervised Learning, Supervised Learning, Data Analysis, Applied Machine Learning, Statistical Analysis, Data Presentation, Machine Learning, Scikit Learn (Machine Learning Library), Python Programming, Tensorflow, Regression Analysis, Keras (Neural Network Library), Deep Learning, Artificial Neural Networks, Web Applications
In summary, here are 10 of our most popular técnicas avanzadas en data science, machine learning y deep learning. courses
- IBM AI Engineering: IBM
- Machine Learning for Trading: Google Cloud
- Managing Machine Learning Projects: Duke University
- Applied Machine Learning in Python: University of Michigan
- IBM Introduction to Machine Learning: IBM
- Reinforcement Learning: University of Alberta
- Unsupervised Learning, Recommenders, Reinforcement Learning: DeepLearning.AI
- AI ML with Deep Learning and Supervised Models: Simplilearn
- Machine Learning Foundations for Product Managers: Duke University
- Data Science: Foundations using R: Johns Hopkins University