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."
Skills you'll gain: ChatGPT, Generative AI, Exploratory Data Analysis, Data Ethics, OpenAI, Feature Engineering, Predictive Modeling, Artificial Intelligence, IBM Cloud, Data Storytelling, Data Modeling, Artificial Intelligence and Machine Learning (AI/ML), Predictive Analytics, Data Science, Data Analysis, Data Transformation, Data Visualization Software, Software Development Tools, Image Analysis, Technical Communication
Skills you'll gain: Unsupervised Learning, Deep Learning, Anomaly Detection, Applied Machine Learning, Machine Learning Algorithms, Machine Learning, Supervised Learning, Decision Tree Learning, Predictive Modeling, Random Forest Algorithm, Data Import/Export, Artificial Neural Networks, Data Modeling, Data Manipulation, Statistical Modeling
Skills you'll gain: Feature Engineering, MLOps (Machine Learning Operations), Google Cloud Platform, Generative AI, Tensorflow, Keras (Neural Network Library), Apache Airflow, Cloud Infrastructure, Artificial Intelligence and Machine Learning (AI/ML), Data Pipelines, Systems Design, Data Management, Data Governance, Hybrid Cloud Computing, Workflow Management, Artificial Intelligence, Application Deployment, Cloud Management, DevOps, Systems Architecture
University of Illinois Urbana-Champaign
Skills you'll gain: Deep Learning, Image Analysis, Keras (Neural Network Library), Applied Machine Learning, Artificial Neural Networks, Computer Vision, Machine Learning, Medical Science and Research, Health Care, Medical Records, Jupyter, Python Programming, Electronic Medical Record
University of Washington
Skills you'll gain: Regression Analysis, Predictive Modeling, Supervised Learning, Predictive Analytics, Machine Learning Algorithms, Feature Engineering, Machine Learning, Statistical Methods, Data Validation, Algorithms
DeepLearning.AI
Skills you'll gain: Deep Learning, Statistical Analysis, Clinical Trials, Feature Engineering, Risk Modeling, Treatment Planning, Decision Tree Learning, Predictive Modeling, Applied Machine Learning, Patient Treatment, Image Analysis, Predictive Analytics, Machine Learning, Random Forest Algorithm, Forecasting, Data Processing, Artificial Intelligence, Classification And Regression Tree (CART), Data Manipulation, Text Mining
Skills you'll gain: PyTorch (Machine Learning Library), Deep Learning, Artificial Neural Networks, Computer Vision, Supervised Learning, Machine Learning
Skills you'll gain: Exploratory Data Analysis, Data Storytelling, Statistical Hypothesis Testing, Data Ethics, Data Visualization Software, Sampling (Statistics), Data Presentation, Regression Analysis, Feature Engineering, Data Transformation, Descriptive Statistics, Data Visualization, Tableau Software, Data Manipulation, Data Analysis, Probability Distribution, Applied Machine Learning, Statistical Analysis, Object Oriented Programming (OOP), Data Structures
Coursera Project Network
Skills you'll gain: Machine Learning Algorithms, Dashboard, Interactive Data Visualization, Data Visualization Software, Applied Machine Learning, Machine Learning, Scikit Learn (Machine Learning Library), Web Applications, Predictive Modeling, Classification And Regression Tree (CART), Python Programming, Application Development, Pandas (Python Package)
The University of Chicago
Skills you'll gain: Keras (Neural Network Library), Unsupervised Learning, Machine Learning Algorithms, Deep Learning, Machine Learning, Decision Tree Learning, Applied Machine Learning, Scikit Learn (Machine Learning Library), Supervised Learning, Regression Analysis, Random Forest Algorithm, Dimensionality Reduction, Statistical Methods, Tensorflow, Feature Engineering, Artificial Neural Networks, Pandas (Python Package)
Skills you'll gain: Databricks, Unsupervised Learning, PySpark, Microsoft Azure, Apache Spark, Scikit Learn (Machine Learning Library), MLOps (Machine Learning Operations), PyTorch (Machine Learning Library), Exploratory Data Analysis, Deep Learning, Data Visualization, Applied Machine Learning, Regression Analysis, Predictive Modeling, Data Science, Image Analysis, Pandas (Python Package), Artificial Intelligence and Machine Learning (AI/ML), Big Data, Cloud Computing
Amazon Web Services
Skills you'll gain: AWS SageMaker, Artificial Intelligence and Machine Learning (AI/ML), Amazon Web Services, Natural Language Processing, Image Analysis, Computer Vision, Cloud Services, Text Mining, Machine Learning, Virtual Environment, Data Processing
In summary, here are 10 of our most popular técnicas avanzadas en data science, machine learning y deep learning. courses
- Generative AI for Data Scientists: IBM
- Practical Machine Learning on H2O: H2O.ai
- Preparing for Google Cloud Certification: Machine Learning Engineer: Google Cloud
- Deep Learning Methods for Healthcare: University of Illinois Urbana-Champaign
- Machine Learning: Regression: University of Washington
- AI for Medicine: DeepLearning.AI
- Deep Learning with PyTorch: IBM
- Google Advanced Data Analytics: Google
- Build a Machine Learning Web App with Streamlit and Python: Coursera Project Network
- Machine Learning: Concepts and Applications: The University of Chicago