Results for "Machine Learning: DeepLearning.AI, Stanford University"
Status: NewStatus: Free TrialStatus: AI skillsDeepLearning.AI
Skills you'll gain: PyTorch (Machine Learning Library), Data Quality, Generative AI, Deep Learning, MLOps (Machine Learning Operations), Data Pipelines, Application Deployment, Artificial Neural Networks, Software Visualization, Computer Vision, Dimensionality Reduction, Natural Language Processing, Machine Learning
Status: Free TrialMultiple educators
Skills you'll gain: Unsupervised Learning, Supervised Learning, Classification And Regression Tree (CART), Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Machine Learning, Jupyter, Data Ethics, Decision Tree Learning, Tensorflow, Responsible AI, Scikit Learn (Machine Learning Library), NumPy, Predictive Modeling, Deep Learning, Artificial Intelligence, Reinforcement Learning, Random Forest Algorithm, Feature Engineering, Python Programming
Status: Free TrialDeepLearning.AI
Skills you'll gain: Computer Vision, Deep Learning, Image Analysis, Natural Language Processing, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Tensorflow, Generative AI, Supervised Learning, Large Language Modeling, Keras (Neural Network Library), Artificial Intelligence, Applied Machine Learning, PyTorch (Machine Learning Library), Machine Learning, Debugging, Performance Tuning, Python Programming, Data-Driven Decision-Making, Feature Engineering
Status: Free TrialDeepLearning.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, Machine Learning, Machine Learning Methods, Data Transformation
Status: Free TrialDeepLearning.AI
Skills you'll gain: Tensorflow, Computer Vision, Image Analysis, Keras (Neural Network Library), Natural Language Processing, Time Series Analysis and Forecasting, Deep Learning, Artificial Neural Networks, Generative AI, Artificial Intelligence and Machine Learning (AI/ML), Predictive Modeling, Applied Machine Learning, Text Mining, Machine Learning Methods, Forecasting, Data Processing, Machine Learning, Supervised Learning
Status: Free TrialSkills you'll gain: Feature Engineering, Applied Machine Learning, Advanced Analytics, Machine Learning, Unsupervised Learning, Workflow Management, Data Ethics, Supervised Learning, Data Validation, Classification And Regression Tree (CART), Random Forest Algorithm, Decision Tree Learning, Python Programming, Performance Tuning
What brings you to Coursera today?
Status: NewStatus: Free TrialSkills you'll gain: Keras (Neural Network Library), Image Analysis, Deep Learning, Artificial Neural Networks, Tensorflow, Data Processing, Computer Vision, Data Transformation, Financial Forecasting, Applied Machine Learning, Feature Engineering, Artificial Intelligence and Machine Learning (AI/ML), Data Visualization, Time Series Analysis and Forecasting, Exploratory Data Analysis, Python Programming, Customer Analysis, Predictive Modeling, Google Cloud Platform, Development Environment
Status: NewStatus: Free TrialSkills you'll gain: Tensorflow, Computer Vision, Deep Learning, Amazon Elastic Compute Cloud, Image Analysis, Artificial Neural Networks, Keras (Neural Network Library), Application Deployment, Applied Machine Learning, Supervised Learning, Artificial Intelligence and Machine Learning (AI/ML), Software Installation, Feature Engineering, Application Development, Data Processing, System Requirements
Status: Free TrialStatus: AI skillsSkills you'll gain: PyTorch (Machine Learning Library), Keras (Neural Network Library), Deep Learning, Reinforcement Learning, Unsupervised Learning, Artificial Neural Networks, Machine Learning Methods, Generative AI, Tensorflow, Artificial Intelligence and Machine Learning (AI/ML), Image Analysis, Computer Vision, Statistical Modeling, Artificial Intelligence, Geospatial Information and Technology, Machine Learning, Regression Analysis, Data Pipelines, Network Architecture, Network Model
Status: NewStatus: Free TrialPearson
Skills you'll gain: Large Language Modeling, Deep Learning, Prompt Engineering, Image Analysis, PyTorch (Machine Learning Library), Tensorflow, LLM Application, Computer Vision, Responsible AI, Natural Language Processing, Generative AI, Artificial Neural Networks, Data Ethics, Multimodal Prompts, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Machine Learning Methods, Artificial Intelligence, Application Deployment, Time Series Analysis and Forecasting
Status: Free TrialStatus: AI skillsUniversity of Pennsylvania
Skills you'll gain: Statistical Machine Learning, PyTorch (Machine Learning Library), Statistical Methods, Probability, Probability & Statistics, Sampling (Statistics), Deep Learning, Probability Distribution, Python Programming, Supervised Learning, Statistics, Machine Learning Methods, Machine Learning, Regression Analysis, Data Processing, Agentic systems, Data Science, Artificial Intelligence, Artificial Neural Networks, Algorithms
Status: NewStatus: Free TrialDartmouth College
Skills you'll gain: Artificial Neural Networks, Probability & Statistics, Bayesian Statistics, Statistical Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Machine Learning, Supervised Learning, Statistical Methods
In summary, here are 10 of our most popular Machine Learning: DeepLearning.AI, Stanford University courses
- PyTorch for Deep Learning: DeepLearning.AI
- Machine Learning: DeepLearning.AI
- Deep Learning: DeepLearning.AI
- Mathematics for Machine Learning and Data Science: DeepLearning.AI
- DeepLearning.AI TensorFlow Developer: DeepLearning.AI
- The Nuts and Bolts of Machine Learning: Google
- Deep Learning with Python: CNN, ANN & RNN: EDUCBA
- AI Deep Learning Projects with TensorFlow: EDUCBA
- IBM Deep Learning with PyTorch, Keras and Tensorflow: IBM
- Learning Deep Learning: Pearson
