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Results for "causal forests"
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 Alberta
Skills you'll gain: Reinforcement Learning, Sampling (Statistics), Machine Learning Algorithms, Simulations, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Statistical Methods, Probability Distribution
Duke University
Skills you'll gain: Generative AI, Data Ethics, Artificial Intelligence, Artificial Intelligence and Machine Learning (AI/ML), Python Programming, Applied Machine Learning, Machine Learning, Visualization (Computer Graphics), Deep Learning, Natural Language Processing, Artificial Neural Networks, Computer Vision
Google Cloud
Skills you'll gain: Reinforcement Learning, Google Cloud Platform, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Machine Learning Algorithms, Deep Learning, Applied Machine Learning, Unsupervised Learning, Artificial Neural Networks, Algorithms
Status: FreeUniversity of London
Skills you'll gain: Data Visualization, Matplotlib, Probability & Statistics, Scatter Plots, Data Science, Unsupervised Learning, Statistics, NumPy, Python Programming, Pandas (Python Package), Machine Learning Algorithms, Data Analysis, Descriptive Statistics, Data Manipulation
Stanford University
Skills you'll gain: Algorithms, Bioinformatics, Graph Theory, Computational Thinking, Data Structures, Theoretical Computer Science, Computer Science
University of Colorado Boulder
Skills you'll gain: Graph Theory, Data Structures, Algorithms, Theoretical Computer Science, Analysis, Computational Thinking, Network Analysis, Computer Programming
University of Alberta
Skills you'll gain: Reinforcement Learning, Deep Learning, Feature Engineering, Machine Learning, Supervised Learning, Artificial Neural Networks, Pseudocode, Linear Algebra
Imperial College London
Skills you'll gain: Epidemiology, Clinical Trials, Research Design, Clinical Research, Preventative Care, Biostatistics, Research Methodologies, Program Evaluation, Health Assessment, Scientific Methods, Medical Science and Research, Risk Analysis, Research, Statistical Analysis, Statistical Hypothesis Testing, Data Analysis
École Polytechnique Fédérale de Lausanne
Skills you'll gain: Apache Spark, Apache Hadoop, Scala Programming, Distributed Computing, Big Data, Data Manipulation, Data Processing, Performance Tuning, Data Analysis
University of California San Diego
Skills you'll gain: Graph Theory, Algorithms, Network Routing, Programming Principles, Data Structures, Network Analysis, Network Model, Computer Programming
Stanford University
Skills you'll gain: Bayesian Network, Statistical Inference, Markov Model, Statistical Machine Learning, Graph Theory, Sampling (Statistics), Applied Machine Learning, Probability & Statistics, Algorithms, Probability Distribution, Machine Learning Algorithms
In summary, here are 10 of our most popular causal forests courses
- Hadoop Platform and Application Framework: University of California San Diego
- Sample-based Learning Methods: University of Alberta
- Explainable Machine Learning (XAI): Duke University
- Recommendation Systems on Google Cloud: Google Cloud
- Foundations of Data Science: K-Means Clustering in Python: University of London
- Greedy Algorithms, Minimum Spanning Trees, and Dynamic Programming: Stanford University
- Trees and Graphs: Basics: University of Colorado Boulder
- Prediction and Control with Function Approximation: University of Alberta
- Epidemiology for Public Health: Imperial College London
- Big Data Analysis with Scala and Spark: École Polytechnique Fédérale de Lausanne
