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Results for "fundamental concepts in machine learning"
Edureka
Skills you'll gain: Natural Language Processing, Deep Learning, Predictive Modeling, Text Mining, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Tensorflow, Supervised Learning, Artificial Neural Networks, Reinforcement Learning
Johns Hopkins University
Skills you'll gain: Predictive Modeling, Machine Learning Algorithms, Statistical Machine Learning, Feature Engineering, Supervised Learning, Classification And Regression Tree (CART), Predictive Analytics, Applied Machine Learning, R Programming, Machine Learning, Random Forest Algorithm, Regression Analysis, Data Analysis
Skills you'll gain: Data Mining, Artificial Intelligence, Generative AI, Data Ethics, OpenAI, Artificial Intelligence and Machine Learning (AI/ML), Big Data, Information Architecture, Strategic Decision-Making, Cloud Computing, Data Analysis, Data Science, Deep Learning, Digital Transformation, Data Strategy, Data-Driven Decision-Making, Artificial Neural Networks, Business Strategy, Business Process Automation, ChatGPT
Stanford University
Skills you'll gain: Data Ethics, Applied Machine Learning, Machine Learning Algorithms, Machine Learning, Artificial Neural Networks, Medical Science and Research, Health Care, Artificial Intelligence and Machine Learning (AI/ML), Reinforcement Learning, Supervised Learning, Deep Learning, Predictive Modeling, Health Care Procedure and Regulation, Data Processing, Image Analysis, Natural Language Processing
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National Taiwan University
Skills you'll gain: Supervised Learning, Machine Learning, Machine Learning Algorithms, Data Validation, Classification And Regression Tree (CART), Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Algorithms, Regression Analysis, Predictive Modeling, Verification And Validation, Feature Engineering, Statistical Methods, Data Transformation
University of Alberta
Skills you'll gain: Reinforcement Learning, Machine Learning, Artificial Intelligence, Markov Model, Applied Machine Learning, Algorithms
Imperial College London
Skills you'll gain: Linear Algebra, NumPy, Applied Mathematics, Data Transformation, Data Science, Machine Learning Methods, Algorithms, Data Manipulation, Python Programming
Skills you'll gain: Feature Engineering, MLOps (Machine Learning Operations), Google Cloud Platform, Generative AI, Tensorflow, Keras (Neural Network Library), Data Quality, Exploratory Data Analysis, Machine Learning, Applied Machine Learning, Apache Airflow, Scikit Learn (Machine Learning Library), Data Cleansing, Cloud Infrastructure, Artificial Intelligence and Machine Learning (AI/ML), Data Pipelines, Supervised Learning, Machine Learning Algorithms, Systems Design, Data Analysis
Skills you'll gain: PyTorch (Machine Learning Library), Keras (Neural Network Library), Unsupervised Learning, Reinforcement Learning, Deep Learning, Data Manipulation, Tensorflow, Verification And Validation, Generative AI, Artificial Neural Networks, Data Processing, Predictive Modeling, Applied Machine Learning, Statistical Methods, Artificial Intelligence and Machine Learning (AI/ML), Data Import/Export, Artificial Intelligence, Machine Learning, Scientific Visualization, Computer Vision
DeepLearning.AI
Skills you'll gain: Tensorflow, Computer Vision, Image Analysis, Keras (Neural Network Library), Natural Language Processing, Time Series Analysis and Forecasting, Deep Learning, Applied Machine Learning, Predictive Modeling, Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Text Mining, Forecasting, Machine Learning, Supervised Learning, Data Processing, Data Transformation
University of Alberta
Skills you'll gain: Reinforcement Learning, Machine Learning, Sampling (Statistics), Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Machine Learning Algorithms, Deep Learning, Systems Development, Simulations, Solution Architecture, Feature Engineering, Markov Model, Supervised Learning, Artificial Neural Networks, Applied Machine Learning, Performance Testing, Algorithms, Statistical Methods, Pseudocode, Linear Algebra
Johns Hopkins University
Skills you'll gain: Strategic Leadership, Artificial Intelligence, Organizational Strategy, Performance Metric, Resource Management, Data Quality, Data Ethics, Machine Learning, Business Metrics, Artificial Neural Networks, Algorithms, Data Management, Vocabulary
In summary, here are 10 of our most popular fundamental concepts in machine learning courses
- Machine Learning and NLP Basics: Edureka
- Practical Machine Learning: Johns Hopkins University
- IBM AI Foundations for Business: IBM
- Fundamentals of Machine Learning for Healthcare: Stanford University
- 機器學習基石下 (Machine Learning Foundations)---Algorithmic Foundations: National Taiwan University
- Fundamentals of Reinforcement Learning: University of Alberta
- Mathematics for Machine Learning: Linear Algebra: Imperial College London
- Preparing for Google Cloud Certification: Machine Learning Engineer: Google Cloud
- IBM Deep Learning with PyTorch, Keras and Tensorflow: IBM
- DeepLearning.AI TensorFlow Developer: DeepLearning.AI