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Results for "técnicas avanzadas en data science, machine learning y deep learning."
Google Cloud
Skills you'll gain: Data Quality, Exploratory Data Analysis, Machine Learning, Applied Machine Learning, Scikit Learn (Machine Learning Library), Data Cleansing, Artificial Intelligence and Machine Learning (AI/ML), Supervised Learning, Google Cloud Platform, Machine Learning Algorithms, Data Analysis, Big Data, Regression Analysis, Data Processing, Sampling (Statistics), Performance Tuning
Alberta Machine Intelligence Institute
Skills you'll gain: Data Ethics, Applied Machine Learning, Data Processing, Machine Learning Methods, Machine Learning, Supervised Learning, Data Modeling, Business Requirements, Data Quality, Business Analysis, Unsupervised Learning, Performance Metric
Johns Hopkins University
Skills you'll gain: Predictive Modeling, Machine Learning Algorithms, Statistical Machine Learning, Feature Engineering, Supervised Learning, Classification And Regression Tree (CART), Predictive Analytics, Applied Machine Learning, R Programming, Machine Learning, Random Forest Algorithm, Regression Analysis, Data Analysis
Alberta Machine Intelligence Institute
Skills you'll gain: Feature Engineering, Data Quality, Data Processing, Supervised Learning, Data Validation, Data Cleansing, Data Transformation, Verification And Validation, Applied Machine Learning, Machine Learning, Unsupervised Learning, Machine Learning Algorithms, Predictive Modeling, Exploratory Data Analysis, Algorithms
Alberta Machine Intelligence Institute
Skills you'll gain: Supervised Learning, Feature Engineering, Machine Learning Algorithms, Data Ethics, Applied Machine Learning, Data Quality, Data Processing, MLOps (Machine Learning Operations), Jupyter, Statistical Machine Learning, Machine Learning Methods, Data Validation, Machine Learning, Decision Tree Learning, Business Operations, Data Cleansing, Ethical Standards And Conduct, Classification And Regression Tree (CART), Data Transformation, Operational Analysis
Skills you'll gain: Data Pipelines, Dataflow, Google Cloud Platform, Real Time Data, Data Lakes, MLOps (Machine Learning Operations), Dashboard, Data Warehousing, Extract, Transform, Load, Data Infrastructure, Cloud Storage, Big Data, Tensorflow, Unstructured Data, Data Integration, Data Processing, Data Visualization Software, Apache Hadoop, Apache Spark, Cloud Computing
Skills you'll gain: Unsupervised Learning, Scikit Learn (Machine Learning Library), PyTorch (Machine Learning Library), Exploratory Data Analysis, Deep Learning, Microsoft Azure, Data Visualization, Applied Machine Learning, Regression Analysis, Predictive Modeling, Image Analysis, Pandas (Python Package), Artificial Intelligence and Machine Learning (AI/ML), Data Science, MLOps (Machine Learning Operations), Machine Learning, Supervised Learning, Tensorflow, Artificial Neural Networks
- Status: Free
Universidad Nacional Autónoma de México
Skills you'll gain: R Programming, Statistical Programming, Ggplot2, Data Manipulation, Simulations, Statistical Visualization, Data Science, Visualization (Computer Graphics), Data Processing, Graphing, Data Import/Export, Scripting, Software Installation
Johns Hopkins University
Skills you'll gain: Shiny (R Package), Rmarkdown, Exploratory Data Analysis, Regression Analysis, Leaflet (Software), Version Control, Statistical Analysis, R Programming, Data Manipulation, Data Cleansing, Data Science, Statistical Inference, Predictive Modeling, Statistical Hypothesis Testing, Data Visualization, Plotly, Machine Learning Algorithms, Interactive Data Visualization, Probability & Statistics, Knitr
Google Cloud
Skills you'll gain: Google Cloud Platform, MLOps (Machine Learning Operations), Data Strategy, Machine Learning, Development Environment, Data Ethics, Cloud Computing, Tensorflow, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Data Processing, Cloud Services
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
Skills you'll gain: Microsoft Azure, Unsupervised Learning, Databricks, MLOps (Machine Learning Operations), Applied Machine Learning, Data Ethics, Regression Analysis, Scikit Learn (Machine Learning Library), Predictive Modeling, Cloud Management, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Supervised Learning, Application Deployment, Data Pipelines
In summary, here are 10 of our most popular técnicas avanzadas en data science, machine learning y deep learning. courses
- Launching into Machine Learning: Google Cloud
- Introduction to Applied Machine Learning: Alberta Machine Intelligence Institute
- Practical Machine Learning: Johns Hopkins University
- Data for Machine Learning: Alberta Machine Intelligence Institute
- Machine Learning: Algorithms in the Real World: Alberta Machine Intelligence Institute
- Data Engineering, Big Data, and Machine Learning on GCP: Google Cloud
- Create Machine Learning Models in Microsoft Azure: Microsoft
- Introducción a Data Science: Programación Estadística con R: Universidad Nacional Autónoma de México
- Data Science: Johns Hopkins University
- How Google does Machine Learning en Español: Google Cloud