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Results for "causal forests"
University of Alberta
Skills you'll gain: Reinforcement Learning, Deep Learning, Feature Engineering, Machine Learning, Supervised Learning, Artificial Neural Networks, Pseudocode, Linear Algebra
University of Virginia
Skills you'll gain: Usability Testing, Continuous Delivery, Product Testing, Agile Product Development, DevOps, Agile Methodology, User Research, User Story, Prototyping, Product Development, Lean Methodologies, Innovation
Stanford University
Skills you'll gain: Algorithms, Bioinformatics, Graph Theory, Computational Thinking, Data Structures, Theoretical Computer Science, Computer Science
DeepLearning.AI
Skills you'll gain: Classification And Regression Tree (CART), Machine Learning Algorithms, Machine Learning, Data Ethics, Decision Tree Learning, Tensorflow, Supervised Learning, Deep Learning, Random Forest Algorithm, Artificial Neural Networks, Regression Analysis, Performance Tuning
Stanford University
Skills you'll gain: Bayesian Network, Applied Machine Learning, Machine Learning Algorithms, Markov Model, Machine Learning, Predictive Modeling, Network Model, Network Analysis, Probability Distribution, Statistical Methods, Probability & Statistics, Algorithms, Statistical Inference
Stanford University
Skills you'll gain: Algorithms, Graph Theory, Theoretical Computer Science, Network Routing, Computational Thinking, Data Structures, Design Strategies
University of California San Diego
Skills you'll gain: Apache Hadoop, Big Data, Data Analysis, Apache Spark, Data Science, PySpark, Data Processing, Distributed Computing, Performance Tuning, Scalability
University of Colorado Boulder
Skills you'll gain: Graph Theory, Data Structures, Algorithms, Theoretical Computer Science, Network Analysis, Analysis, Computational Thinking, Computer Programming
Status: FreeCoursera Project Network
Skills you'll gain: PySpark, Data Processing, Dimensionality Reduction, OpenAI, Data Manipulation, Pandas (Python Package), Scikit Learn (Machine Learning Library), Predictive Modeling, Unsupervised Learning, Applied Machine Learning, Machine Learning
Rice University
Skills you'll gain: Apache Kafka, Apache Spark, Apache Hadoop, Distributed Computing, Java, Systems Architecture, Programming Principles, Algorithms, Computer Programming, Computer Science, Software Engineering
DeepLearning.AI
Skills you'll gain: Image Analysis, Environmental Monitoring, Artificial Intelligence, Artificial Neural Networks, Deep Learning, Data Processing, Forecasting, Machine Learning, Computer Vision, Predictive Modeling, Exploratory Data Analysis
University of California San Diego
Skills you'll gain: Graph Theory, Big Data, Apache Spark, Network Analysis, Analytics, Data Management, Database Systems, Analytical Skills, Data Structures, Query Languages, Computing Platforms, Scalability, Algorithms
In summary, here are 10 of our most popular causal forests courses
- Prediction and Control with Function Approximation:Â University of Alberta
- Hypothesis-Driven Development:Â University of Virginia
- Greedy Algorithms, Minimum Spanning Trees, and Dynamic Programming:Â Stanford University
- Advanced Learning Algorithms:Â DeepLearning.AI
- Probabilistic Graphical Models 3: Learning:Â Stanford University
- Shortest Paths Revisited, NP-Complete Problems and What To Do About Them:Â Stanford University
- Hadoop Platform and Application Framework:Â University of California San Diego
- Trees and Graphs: Basics:Â University of Colorado Boulder
- Machine Learning with PySpark: Recommender System:Â Coursera Project Network
- Distributed Programming in Java:Â Rice University
