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Results for "técnicas avanzadas en data science, machine learning y deep learning."
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
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
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: Classification And Regression Tree (CART), Random Forest Algorithm, Decision Tree Learning, Deep Learning, Applied Machine Learning, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Predictive Modeling, Supervised Learning, Computer Vision, Machine Learning, Natural Language Processing
Skills you'll gain: Tensorflow, Artificial Neural Networks, Applied Machine Learning, Deep Learning, Performance Tuning, Feature Engineering, Dimensionality Reduction, Machine Learning Algorithms, Supervised Learning, Machine Learning
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
Skills you'll gain: Plotly, Exploratory Data Analysis, Predictive Modeling, Interactive Data Visualization, Data Science, Data-Driven Decision-Making, Data Storytelling, Data Presentation, Data Analysis, Pandas (Python Package), Web Scraping, Statistical Machine Learning, Data Wrangling, Data Collection
Skills you'll gain: PyTorch (Machine Learning Library), Keras (Neural Network Library), Data Manipulation, Deep Learning, Verification And Validation, Data Processing, Predictive Modeling, Applied Machine Learning, Data Import/Export, Computer Vision, Scientific Visualization, Artificial Neural Networks
Microsoft
Skills you'll gain: Unsupervised Learning, Microsoft Azure, Applied Machine Learning, MLOps (Machine Learning Operations), Regression Analysis, Predictive Modeling, Machine Learning, Classification And Regression Tree (CART), Artificial Intelligence, Supervised Learning, Data Transformation
Imperial College London
Skills you'll gain: Tensorflow, Generative AI, Data Pipelines, Keras (Neural Network Library), Deep Learning, Image Analysis, Applied Machine Learning, Bayesian Statistics, Supervised Learning, Natural Language Processing, Data Processing, Computer Vision, Artificial Neural Networks, Machine Learning Methods, Machine Learning, Unsupervised Learning, Python Programming, Probability & Statistics, Time Series Analysis and Forecasting, Jupyter
Skills you'll gain: Dataflow, Google Cloud Platform, Looker (Software), Data Pipelines, Real Time Data, Data Lakes, Big Data, Data Warehousing, Dashboard, Cloud Infrastructure, Data Infrastructure, Data Visualization, Cloud Storage, Extract, Transform, Load, Data Architecture, Data Processing, Apache Airflow, Unstructured Data, MLOps (Machine Learning Operations), Tensorflow
Skills you'll gain: Dashboard, SQL, Descriptive Statistics, Jupyter, Statistical Analysis, Data Analysis, Probability Distribution, Pandas (Python Package), Data Visualization Software, Statistics, Data Visualization, Statistical Hypothesis Testing, Databases, Stored Procedure, Web Scraping, Relational Databases, Automation, Data Science, GitHub, Python Programming
In summary, here are 10 of our most popular técnicas avanzadas en data science, machine learning y deep learning. courses
- Data Engineering, Big Data, and Machine Learning on GCP: Google Cloud
- Natural Language Processing: DeepLearning.AI
- Machine Learning and Reinforcement Learning in Finance: New York University
- Build Decision Trees, SVMs, and Artificial Neural Networks: CertNexus
- Art and Science of Machine Learning em Português Brasileiro: Google Cloud
- Advanced Machine Learning on Google Cloud: Google Cloud
- Applied Data Science Capstone: IBM
- AI Capstone Project with Deep Learning : IBM
- Microsoft Azure Machine Learning: Microsoft
- TensorFlow 2 for Deep Learning: Imperial College London