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Results for "hyperparameter+optimization"
Coursera Project Network
Skills you'll gain: Data Science, Machine Learning, Python Programming
Stanford University
Skills you'll gain: Algorithms, Computer Programming, Problem Solving, Theoretical Computer Science, Data Structures, Graph Theory, Critical Thinking, Programming Principles, Computational Thinking, Mathematical Theory & Analysis
Columbia University
Skills you'll gain: Finance
Status: FreeThe University of Melbourne
Skills you'll gain: Computer Programming
Johns Hopkins University
Skills you'll gain: Calculus, Mathematics, Differential Equations
Status: FreeThe University of Melbourne
Skills you'll gain: Algorithms, Computer Programming, Python Programming
Coursera Project Network
Skills you'll gain: Deep Learning, Python Programming, Tensorflow
Status: FreeÉcole normale supérieure
Skills you'll gain: Algorithms
University of Alberta
Skills you'll gain: Machine Learning, Reinforcement Learning
Johns Hopkins University
Skills you'll gain: General Statistics, Probability & Statistics, Linear Algebra, Mathematics, Algebra, Regression
Columbia University
Skills you'll gain: Finance, Leadership and Management, Investment Management, Probability & Statistics, Risk Management
Searches related to hyperparameter+optimization
In summary, here are 10 of our most popular hyperparameter+optimization courses
- Logistic Regression with NumPy and Python:Â Coursera Project Network
- Greedy Algorithms, Minimum Spanning Trees, and Dynamic Programming:Â Stanford University
- Computational Methods in Pricing and Model Calibration:Â Columbia University
- Basic Modeling for Discrete Optimization:Â The University of Melbourne
- Calculus through Data & Modeling: Applying Differentiation:Â Johns Hopkins University
- Discrete Optimization:Â The University of Melbourne
- Optimize TensorFlow Models For Deployment with TensorRT:Â Coursera Project Network
- Approximation Algorithms Part I: École normale supérieure
- Prediction and Control with Function Approximation:Â University of Alberta
- Advanced Linear Models for Data Science 2: Statistical Linear Models:Â Johns Hopkins University
