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Results for "técnicas avanzadas en data science, machine learning y deep learning."
Skills you'll gain: Keras (Neural Network Library), Unsupervised Learning, Deep Learning, Artificial Neural Networks, PyTorch (Machine Learning Library), Tensorflow, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Supervised Learning, Regression Analysis
DeepLearning.AI
Skills you'll gain: Deep Learning, Artificial Neural Networks, Tensorflow, Supervised Learning, Keras (Neural Network Library), Artificial Intelligence, Machine Learning, Python Programming, NumPy, Performance Tuning
Skills you'll gain: Feature Engineering, Applied Machine Learning, Advanced Analytics, Predictive Modeling, Analytics, Unsupervised Learning, Data Ethics, Machine Learning, Machine Learning Algorithms, Supervised Learning, Random Forest Algorithm, Decision Tree Learning, Performance Tuning, Python Programming
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
Johns Hopkins University
Skills you'll gain: Shiny (R Package), Rmarkdown, Regression Analysis, Leaflet (Software), Exploratory Data Analysis, Statistical Inference, Predictive Modeling, Statistical Hypothesis Testing, Plotly, Machine Learning Algorithms, Interactive Data Visualization, Probability & Statistics, Statistical Machine Learning, Feature Engineering, Statistical Analysis, Statistical Modeling, Probability, Correlation Analysis, Data Science, Data Analysis
Corporate Finance Institute
Skills you'll gain: Feature Engineering, Data Science, Data Analysis, Business Analytics, Statistical Methods, Predictive Analytics, Data-Driven Decision-Making, Regression Analysis, Data Modeling, Business Intelligence, Machine Learning, Supervised Learning, Exploratory Data Analysis
Skills you'll gain: Generative AI, Data Wrangling, Unit Testing, Supervised Learning, Feature Engineering, ChatGPT, Keras (Neural Network Library), Unsupervised Learning, Natural Language Processing, Data Cleansing, Jupyter, Data Analysis, Deep Learning, Data Manipulation, PyTorch (Machine Learning Library), Data Transformation, Artificial Intelligence, Data Import/Export, Data Ethics, Exploratory Data Analysis
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, Jupyter, Predictive Modeling
Skills you'll gain: Jupyter, Data Visualization Software, Data Science, GitHub, Big Data, R Programming, Statistical Programming, Application Programming Interface (API), Machine Learning, Cloud Computing, Git (Version Control System), Python Programming, SQL
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: 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
University of Alberta
Skills you'll gain: Reinforcement Learning, Machine Learning, Artificial Intelligence, Markov Model, Applied Machine Learning, Algorithms
In summary, here are 10 of our most popular técnicas avanzadas en data science, machine learning y deep learning. courses
- Introduction to Deep Learning & Neural Networks with Keras: IBM
- Neural Networks and Deep Learning: DeepLearning.AI
- The Nuts and Bolts of Machine Learning: Google
- AI ML with Deep Learning and Supervised Models: Simplilearn
- Data Science: Statistics and Machine Learning: Johns Hopkins University
- Data Science & Machine Learning Fundamentals: Corporate Finance Institute
- IBM Generative AI Engineering: IBM
- IBM Introduction to Machine Learning: IBM
- Tools for Data Science: IBM
- Data Science: Foundations using R: Johns Hopkins University