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Results for "técnicas avanzadas en data science, machine learning y deep learning."
Skills you'll gain: Data Mining, Big Data, Cloud Computing, Data Analysis, Data Science, Digital Transformation, Data-Driven Decision-Making, Business Logic, Deep Learning, Machine Learning, Artificial Intelligence
DeepLearning.AI
Skills you'll gain: Descriptive Statistics, Bayesian Statistics, Statistical Hypothesis Testing, Probability & Statistics, Sampling (Statistics), Probability Distribution, Probability, Linear Algebra, Statistical Inference, A/B Testing, Statistical Analysis, Applied Mathematics, NumPy, Calculus, Dimensionality Reduction, Machine Learning, Jupyter, Python Programming, Data Manipulation, Data Science
Coursera Project Network
Skills you'll gain: Keras (Neural Network Library), Deep Learning, Applied Machine Learning, Artificial Neural Networks, Machine Learning, Data Processing
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
Imperial College London
Skills you'll gain: Linear Algebra, NumPy, Applied Mathematics, Data Transformation, Data Science, Machine Learning Methods, Algorithms, Data Manipulation, Python Programming
Skills you'll gain: SQL, Jupyter, Data Mining, Data Modeling, Databases, Data Science, Stored Procedure, Relational Databases, R Programming, Database Design, Query Languages, Database Management, Big Data, Computer Programming Tools, GitHub, Data Visualization Software, Application Deployment, Data-Driven Decision-Making, Cloud Computing, Data Analysis
University of Michigan
Skills you'll gain: Matplotlib, Network Analysis, Feature Engineering, Plot (Graphics), Data Visualization Software, Interactive Data Visualization, Pandas (Python Package), Applied Machine Learning, Supervised Learning, Text Mining, Scikit Learn (Machine Learning Library), Network Model, Jupyter, NumPy, Graph Theory, Data Manipulation, Natural Language Processing, Data Analysis, Data Processing, Unstructured Data
Universidad de los Andes
Skills you'll gain: Data Ethics, Predictive Modeling, Classification And Regression Tree (CART), Supervised Learning, Regression Analysis, Applied Machine Learning, Predictive Analytics, Scikit Learn (Machine Learning Library), Machine Learning, Decision Tree Learning, Python Programming, Unsupervised 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
- 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
- Status: Free
Universidad Nacional Autónoma de México
Skills you'll gain: R Programming, Statistical Programming, Ggplot2, Data Manipulation, Simulations, Statistical Visualization, Data Science, Visualization (Computer Graphics), Data Processing, Graphing, Data Import/Export, Scripting, Software Installation
- Status: Free
Deep Teaching Solutions
Skills you'll gain: Learning Strategies, Time Management, Willingness To Learn, Mental Concentration, Creativity, Persistence, Stress Management, Self-Awareness, Adaptability
In summary, here are 10 of our most popular técnicas avanzadas en data science, machine learning y deep learning. courses
- What is Data Science? : IBM
- Mathematics for Machine Learning and Data Science: DeepLearning.AI
- Curso Completo de Deep Learning: Coursera Project Network
- Introduction to Deep Learning & Neural Networks with Keras: IBM
- Mathematics for Machine Learning: Linear Algebra: Imperial College London
- Introduction to Data Science: IBM
- Applied Data Science with Python: University of Michigan
- Modelos predictivos con aprendizaje automático: Universidad de los Andes
- Big Data: procesamiento y análisis: Universitat Autònoma de Barcelona
- Detección de objetos: Universitat Autònoma de Barcelona