Results for "optimization techniques for machine learning"
Status: Trending in AIMultiple educators
Skills you'll gain: Unsupervised Learning, Supervised Learning, Transfer Learning, Machine Learning, Jupyter, Applied Machine Learning, Data Ethics, Decision Tree Learning, Model Evaluation, Tensorflow, Scikit Learn (Machine Learning Library), NumPy, Predictive Modeling, Deep Learning, Artificial Intelligence, Classification Algorithms, Reinforcement Learning, Random Forest Algorithm, Feature Engineering, Data Preprocessing
Status: Trending in AIImperial College London
Skills you'll gain: Linear Algebra, Dimensionality Reduction, NumPy, Regression Analysis, Calculus, Applied Mathematics, Data Preprocessing, Unsupervised Learning, Feature Engineering, Machine Learning Algorithms, Jupyter, Advanced Mathematics, Statistics, Artificial Neural Networks, Algorithms, Mathematical Modeling, Python Programming, Derivatives
Status: Trending in AIDeepLearning.AI
Skills you'll gain: Descriptive Statistics, Bayesian Statistics, Statistical Hypothesis Testing, Probability & Statistics, Sampling (Statistics), Probability Distribution, Linear Algebra, Statistical Inference, A/B Testing, Statistical Analysis, Applied Mathematics, NumPy, Probability, Calculus, Dimensionality Reduction, Numerical Analysis, Mathematical Modeling, Data Preprocessing, Machine Learning, Machine Learning Methods
University of Pennsylvania
Skills you'll gain: Statistical Machine Learning, Data Preprocessing, Model Evaluation, PyTorch (Machine Learning Library), Statistical Methods, Probability, Probability & Statistics, Sampling (Statistics), Logistic Regression, Deep Learning, Probability Distribution, Supervised Learning, Statistics, Machine Learning Methods, Machine Learning, Agentic systems, Artificial Intelligence, Artificial Neural Networks, Algorithms, Python Programming
Skills you'll gain: Data Ethics, Responsible AI, Retrieval-Augmented Generation, LLM Application, Operations Research, General Data Protection Regulation (GDPR), Strategic Thinking, Strategic Decision-Making, Business Strategy, Apache Kafka, Stakeholder Communications, Large Language Modeling, Real Time Data, AI Enablement, Information Privacy, Performance Testing, Personally Identifiable Information, Reinforcement Learning, Inventory Management System, Stakeholder Analysis
Skills you'll gain: Model Evaluation, Deep Learning, Performance Tuning, Applied Machine Learning, Performance Improvement, Artificial Intelligence and Machine Learning (AI/ML), Performance Analysis
What brings you to Coursera today?
Skills you'll gain: Model Evaluation, Model Deployment, Data Preprocessing, MLOps (Machine Learning Operations), Data Cleansing, Microservices, Data Pipelines, Feature Engineering, Data Quality, Data Validation, Containerization, Application Deployment, Service Level, Extract, Transform, Load, Data Transformation, System Monitoring, Applied Machine Learning, Machine Learning Methods, Performance Tuning, Machine Learning Algorithms
Skills you'll gain: Feature Engineering, Decision Tree Learning, Applied Machine Learning, Supervised Learning, Advanced Analytics, Machine Learning, Machine Learning Algorithms, Unsupervised Learning, Analytics, Random Forest Algorithm, Data Analysis, Predictive Modeling, Model Evaluation, Bayesian Network, Python Programming, Statistical Modeling, Classification Algorithms
Coursera
Skills you'll gain: Model Evaluation, Supervised Learning, Unsupervised Learning, Data Preprocessing, Time Series Analysis and Forecasting, Applied Machine Learning, Machine Learning Algorithms, Feature Engineering, Dimensionality Reduction, Machine Learning, Predictive Modeling, Predictive Analytics, Scikit Learn (Machine Learning Library), Classification Algorithms, Forecasting, Decision Tree Learning, Anomaly Detection, Data Manipulation, Regression Analysis, Statistical Modeling
Skills you'll gain: Supervised Learning, Feature Engineering, Applied Machine Learning, Unsupervised Learning, Model Evaluation, Machine Learning Algorithms, Predictive Modeling, Data Preprocessing, Classification Algorithms, Artificial Intelligence and Machine Learning (AI/ML), Dimensionality Reduction, Performance Tuning
Alberta Machine Intelligence Institute
Skills you'll gain: Supervised Learning, Data Preprocessing, Feature Engineering, Responsible AI, Machine Learning Algorithms, Data Ethics, Applied Machine Learning, Model Evaluation, Data Quality, Classification Algorithms, MLOps (Machine Learning Operations), Model Deployment, Jupyter, Data Validation, Machine Learning, Decision Tree Learning, Business Operations, Data Cleansing, Product Lifecycle Management, Project Management
Skills you'll gain: Feature Engineering, Applied Machine Learning, Machine Learning Methods, Machine Learning Algorithms, Deep Learning, Supervised Learning, Transfer Learning, Model Evaluation, Data Structures, Predictive Modeling, Artificial Intelligence and Machine Learning (AI/ML), Algorithms, Tensorflow, Keras (Neural Network Library), Machine Learning, Artificial Neural Networks, Performance Tuning, Convolutional Neural Networks, Unsupervised Learning, Programming Principles
In summary, here are 10 of our most popular optimization techniques for machine learning courses
- Machine Learning: DeepLearning.AI
- Mathematics for Machine Learning: Imperial College London
- Mathematics for Machine Learning and Data Science: DeepLearning.AI
- AI and Machine Learning Essentials with Python: University of Pennsylvania
- AI Techniques, Causal Inference & Business Optimization: Coursera
- Optimize Deep Learning Models for Peak AI: Coursera
- Machine Learning Made Easy for Software Engineers: Coursera
- The Nuts and Bolts of Machine Learning: Google
- Foundations of Machine Learning: Coursera
- Applied Machine Learning and Model Optimization: Packt
