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Results for "fundamental concepts in machine learning"
- Status: New
Skills you'll gain: Calculus, Applied Mathematics, NumPy, Applied Machine Learning, Tensorflow, Machine Learning, Python Programming, Derivatives, Algorithms, Development Environment
- Status: NewStatus: Free Trial
Skills you'll gain: Data Manipulation, Python Programming, Probability & Statistics, Pandas (Python Package), Statistics, Data Science, Statistical Analysis, NumPy, Machine Learning, Descriptive Statistics, Statistical Inference, Programming Principles, Probability
- Status: Free Trial
Skills you'll gain: Matplotlib, Linear Algebra, NumPy, Scientific Visualization, Machine Learning Algorithms, Pandas (Python Package), Seaborn, Data Science, Machine Learning, Data Analysis, Supervised Learning, Python Programming, Scikit Learn (Machine Learning Library), Jupyter, Data Manipulation, Regression Analysis, Data Structures, Software Installation
- Status: NewStatus: Free Trial
Skills you'll gain: Dimensionality Reduction, Unsupervised Learning, Deep Learning, Machine Learning Algorithms, Applied Machine Learning, Random Forest Algorithm, Feature Engineering, Artificial Neural Networks, Supervised Learning, Anomaly Detection, Artificial Intelligence, Machine Learning, Classification And Regression Tree (CART)
- Status: Free Trial
Skills you'll gain: Exploratory Data Analysis, Feature Engineering, Unsupervised Learning, Supervised Learning, Generative AI, Regression Analysis, Dimensionality Reduction, Reinforcement Learning, Deep Learning, Data Analysis, Statistical Inference, Applied Machine Learning, Predictive Modeling, Statistical Hypothesis Testing, Data Processing, Statistical Analysis, Machine Learning Algorithms, Machine Learning, Data Science, Python Programming
- Status: Free Trial
Duke University
Skills you'll gain: MLOps (Machine Learning Operations), Pandas (Python Package), AWS SageMaker, NumPy, Microsoft Azure, Data Ethics, Application Deployment, Data Manipulation, Exploratory Data Analysis, Containerization, Data Pipelines, CI/CD, DevOps, Cloud Computing, Python Programming, Machine Learning, GitHub, Big Data, Data Management, Data Analysis
- Status: Free Trial
University of Washington
Skills you'll gain: Regression Analysis, Applied Machine Learning, Feature Engineering, Machine Learning, Image Analysis, Unsupervised Learning, Artificial Intelligence and Machine Learning (AI/ML), Predictive Modeling, Classification And Regression Tree (CART), Supervised Learning, Bayesian Statistics, Statistical Modeling, Artificial Intelligence, Deep Learning, Data Mining, Computer Vision, Statistical Machine Learning, Predictive Analytics, Text Mining, Machine Learning Algorithms
- Status: Free Trial
Skills you'll gain: Exploratory Data Analysis, Feature Engineering, Unsupervised Learning, Supervised Learning, Regression Analysis, Dimensionality Reduction, Statistical Inference, Predictive Modeling, Statistical Hypothesis Testing, Data Processing, Data Access, Anomaly Detection, Machine Learning, Machine Learning Algorithms, Classification And Regression Tree (CART), Scikit Learn (Machine Learning Library), Statistical Analysis, Data Analysis, Statistical Modeling, Applied Machine Learning
- Status: Free Trial
DeepLearning.AI
Skills you'll gain: Deep Learning, Applied Machine Learning, Machine Learning, Tensorflow, PyTorch (Machine Learning Library), Debugging, Artificial Intelligence, Keras (Neural Network Library), Data Quality, Performance Tuning
- Status: Free
Amazon Web Services
Skills you'll gain: Feasibility Studies, Business Analysis, Business Analytics, Decision Making, Strategic Decision-Making, Data-Driven Decision-Making, Machine Learning, Strategic Thinking, Business Leadership, Project Planning
- Status: Free Trial
University of Michigan
Skills you'll gain: Feature Engineering, Applied Machine Learning, Supervised Learning, Scikit Learn (Machine Learning Library), Predictive Modeling, Machine Learning, Decision Tree Learning, Unsupervised Learning, Python Programming, Dimensionality Reduction, Random Forest Algorithm, Regression Analysis
- Status: Free Trial
Skills you'll gain: Unsupervised Learning, Supervised Learning, Regression Analysis, Scikit Learn (Machine Learning Library), Applied Machine Learning, Predictive Modeling, Machine Learning Algorithms, Machine Learning, Dimensionality Reduction, Python Programming, Statistical Analysis, Classification And Regression Tree (CART), Feature Engineering
In summary, here are 10 of our most popular fundamental concepts in machine learning courses
- Matrix Calculus for Data Science & Machine Learning:Â Packt
- Foundations of ML & Python for Data Science:Â Packt
- Python Fundamentals and Data Science Essentials:Â Packt
- Advanced ML Algorithms & Unsupervised Learning:Â Packt
- IBM Machine Learning:Â IBM
- MLOps | Machine Learning Operations:Â Duke University
- Machine Learning:Â University of Washington
- IBM Introduction to Machine Learning:Â IBM
- Structuring Machine Learning Projects:Â DeepLearning.AI
- Planning a Machine Learning Project:Â Amazon Web Services