Filter by
SubjectRequired
LanguageRequired
The language used throughout the course, in both instruction and assessments.
Learning ProductRequired
LevelRequired
DurationRequired
SkillsRequired
SubtitlesRequired
EducatorRequired
Results for "técnicas avanzadas en data science, machine learning y deep learning."
Johns Hopkins University
Skills you'll gain: Predictive Modeling, Machine Learning Algorithms, Statistical Machine Learning, Feature Engineering, Supervised Learning, Classification And Regression Tree (CART), Applied Machine Learning, Decision Tree Learning, Machine Learning, Random Forest Algorithm, Regression Analysis, Data Processing, Data Transformation
DeepLearning.AI
Skills you'll gain: Tensorflow, Computer Vision, Image Analysis, Keras (Neural Network Library), Deep Learning, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning
Universitat Autònoma de Barcelona
Skills you'll gain: Exploratory Data Analysis, Regression Analysis, Classification And Regression Tree (CART), Unsupervised Learning, PySpark, Big Data, Data Analysis, Predictive Modeling, Apache Spark, Random Forest Algorithm, Jupyter, Data Science, Statistical Analysis, Data Processing, Data Mining, Machine Learning Methods, Artificial Neural Networks, Deep Learning, Virtual Machines
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: Feature Engineering, Tensorflow, Exploratory Data Analysis, Google Cloud Platform, Keras (Neural Network Library), Data Quality, Applied Machine Learning, Data Cleansing, Machine Learning, Data Strategy, MLOps (Machine Learning Operations), Machine Learning Algorithms, Supervised Learning, Artificial Intelligence and Machine Learning (AI/ML), Data Analysis, Deep Learning, Artificial Neural Networks, PyTorch (Machine Learning Library), Data Processing, Data Transformation
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
- Status: Free
Universitat Autònoma de Barcelona
Skills you'll gain: Computer Vision, Image Analysis, Machine Learning Methods, Applied Machine Learning, Classification And Regression Tree (CART), Machine Learning Algorithms, Supervised Learning, Machine Learning, Deep Learning, Feature Engineering, Artificial Neural Networks, Algorithms
Stanford University
Skills you'll gain: Data Ethics, Applied Machine Learning, Machine Learning Algorithms, Machine Learning, Artificial Neural Networks, Medical Science and Research, Health Care, Artificial Intelligence and Machine Learning (AI/ML), Supervised Learning, Reinforcement Learning, Deep Learning, Predictive Modeling, Health Care Procedure and Regulation, Data Processing, Image Analysis, Natural Language Processing
Simplilearn
Skills you'll gain: Machine Learning Algorithms, Artificial Intelligence, Tensorflow, Machine Learning, Deep Learning, Applied Machine Learning, Artificial Neural Networks, Supervised Learning, Data Ethics, Algorithms, Unsupervised Learning, Emerging Technologies, Digital Transformation, Reinforcement Learning, Computer Programming, Business Ethics
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
Google Cloud
Skills you'll gain: Exploratory Data Analysis, Data Quality, Applied Machine Learning, Machine Learning, Data Cleansing, Scikit Learn (Machine Learning Library), Business Metrics, Artificial Intelligence and Machine Learning (AI/ML), Supervised Learning, Machine Learning Algorithms, Google Cloud Platform, Predictive Modeling, Data Analysis, Big Data, Data Science, Sampling (Statistics), Regression Analysis, Performance Tuning
University of Colorado Boulder
Skills you'll gain: Deep Learning, Unsupervised Learning, Keras (Neural Network Library), Computer Vision, Image Analysis, Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Machine Learning Methods, Generative AI, Applied Machine Learning, Natural Language Processing, Python Programming
In summary, here are 10 of our most popular técnicas avanzadas en data science, machine learning y deep learning. courses
- Practical Machine Learning: Johns Hopkins University
- Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning: DeepLearning.AI
- Big Data: procesamiento y análisis: Universitat Autònoma de Barcelona
- Data Science: Foundations using R: Johns Hopkins University
- Machine Learning with TensorFlow on Google Cloud em Português Brasileiro: Google Cloud
- Data Science: Johns Hopkins University
- Detección de objetos: Universitat Autònoma de Barcelona
- Fundamentals of Machine Learning for Healthcare: Stanford University
- AI & Deep Learning Concepts and Applications: Simplilearn
- Introduction to Applied Machine Learning: Alberta Machine Intelligence Institute