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Results for "técnicas avanzadas en data science, machine learning y deep learning."
DeepLearning.AI
Skills you'll gain: Tensorflow, Keras (Neural Network Library), Computer Vision, Image Analysis, Applied Machine Learning, Deep Learning, Artificial Neural Networks, Machine Learning, Supervised Learning, Data Processing, Data Transformation
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
Universitat Autònoma de Barcelona
Skills you'll gain: Data Processing, Big Data, Data Infrastructure, Data Storage Technologies, Apache Hadoop, Data Management, Data-Driven Decision-Making, Data Analysis, Data Science, Economics, Policy, and Social Studies, Social Sciences
Skills you'll gain: Data Mining, Artificial Intelligence, Generative AI, Data Ethics, OpenAI, Artificial Intelligence and Machine Learning (AI/ML), Big Data, Information Architecture, Strategic Decision-Making, Cloud Computing, Data Analysis, Data Science, Deep Learning, Digital Transformation, Data Strategy, Data-Driven Decision-Making, Artificial Neural Networks, Business Strategy, Business Process Automation, ChatGPT
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
Skills you'll gain: Supervised Learning, Machine Learning Algorithms, Classification And Regression Tree (CART), Applied Machine Learning, Predictive Modeling, Scikit Learn (Machine Learning Library), Data Processing, Data Cleansing, Machine Learning, Regression Analysis, Feature Engineering, Statistical Modeling, Sampling (Statistics), Performance Metric
DeepLearning.AI
Skills you'll gain: Natural Language Processing, Supervised Learning, Markov Model, Text Mining, Dimensionality Reduction, Artificial Intelligence, Keras (Neural Network Library), Artificial Neural Networks, PyTorch (Machine Learning Library), Machine Learning, Deep Learning, Data Processing, Feature Engineering, Algorithms, Tensorflow, Computer Programming, Machine Learning Methods, Unstructured Data, Regression Analysis, Bayesian Statistics
DeepLearning.AI
Skills you'll gain: Tensorflow, Time Series Analysis and Forecasting, Keras (Neural Network Library), Applied Machine Learning, Deep Learning, Predictive Modeling, Artificial Neural Networks, Forecasting, Machine Learning
Skills you'll gain: PyTorch (Machine Learning Library), Keras (Neural Network Library), Image Analysis, Data Manipulation, Deep Learning, Verification And Validation, Data Processing, Applied Machine Learning, Data Import/Export, Computer Vision, Scientific Visualization, Artificial Neural Networks, Machine Learning
Skills you'll gain: Jupyter, Automation, Web Scraping, Python Programming, Data Manipulation, Data Import/Export, Scripting, Data Structures, Data Processing, Data Collection, Application Programming Interface (API), Pandas (Python Package), Programming Principles, NumPy, Object Oriented Programming (OOP), Computer Programming
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
Google Cloud
Skills you'll gain: Natural Language Processing, MLOps (Machine Learning Operations), Tensorflow, Reinforcement Learning, Computer Vision, Google Cloud Platform, Keras (Neural Network Library), Systems Design, Image Analysis, Hybrid Cloud Computing, Applied Machine Learning, Systems Architecture, Performance Tuning, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Artificial Neural Networks, Machine Learning, Machine Learning Algorithms, Distributed Computing, Unsupervised Learning
In summary, here are 10 of our most popular técnicas avanzadas en data science, machine learning y deep learning. courses
- Convolutional Neural Networks in TensorFlow: DeepLearning.AI
- Data for Machine Learning: Alberta Machine Intelligence Institute
- Big Data: el impacto de los datos masivos en la sociedad actual: Universitat Autònoma de Barcelona
- IBM AI Foundations for Business: IBM
- Microsoft Azure Machine Learning for Data Scientists: Microsoft
- Supervised Machine Learning: Classification: IBM
- Natural Language Processing: DeepLearning.AI
- Sequences, Time Series and Prediction: DeepLearning.AI
- AI Capstone Project with Deep Learning : IBM
- Python for Data Science, AI & Development: IBM