Results for "deep learning specialization"
Status: Free TrialDeepLearning.AI
Skills you'll gain: Computer Vision, Deep Learning, Image Analysis, Natural Language Processing, Artificial Neural Networks, Tensorflow, Generative AI, Supervised Learning, Large Language Modeling, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Applied Machine Learning, PyTorch (Machine Learning Library), Machine Learning, MLOps (Machine Learning Operations), Debugging, Performance Tuning, Python Programming, Data-Driven Decision-Making, Machine Learning Algorithms
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 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: Free TrialUniversity 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, Simulations, Feature Engineering, Markov Model, Supervised Learning, Algorithms, Artificial Neural Networks, Performance Testing, Linear Algebra, Performance Tuning, Pseudocode, Probability Distribution
Status: Free TrialImperial College London
Skills you'll gain: Linear Algebra, Dimensionality Reduction, NumPy, Regression Analysis, Calculus, Applied Mathematics, Probability & Statistics, Machine Learning Algorithms, Jupyter, Data Science, Advanced Mathematics, Statistics, Statistical Analysis, Artificial Neural Networks, Algorithms, Data Manipulation, Python Programming, Machine Learning, Derivatives
Status: Free TrialDeepLearning.AI
Skills you'll gain: Natural Language Processing, Supervised Learning, Markov Model, Text Mining, Dimensionality Reduction, Artificial Neural Networks, PyTorch (Machine Learning Library), Deep Learning, Tensorflow, Machine Learning Methods, Data Processing, Feature Engineering, Machine Learning Algorithms, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Algorithms, Keras (Neural Network Library), Unstructured Data, Probability & Statistics, Linear Algebra
What brings you to Coursera today?
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 TrialMathWorks
Skills you'll gain: Computer Vision, Anomaly Detection, Image Analysis, Matlab, Deep Learning, Artificial Neural Networks, Unsupervised Learning, Application Deployment, PyTorch (Machine Learning Library), Data Visualization, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods, Data Synthesis, Performance Tuning, Data Analysis, Classification And Regression Tree (CART), Data Validation, Medical Imaging
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 TrialSkills you'll gain: Exploratory Data Analysis, Unsupervised Learning, Supervised Learning, Feature Engineering, Regression Analysis, Dimensionality Reduction, Time Series Analysis and Forecasting, Reinforcement Learning, Generative Model Architectures, Data Cleansing, Data Access, Deep Learning, Data Analysis, Applied Machine Learning, Predictive Modeling, Statistical Inference, Data Science, Machine Learning Algorithms, Machine Learning, Python Programming
Status: Free TrialDeepLearning.AI
Skills you'll gain: Deep Learning, Statistical Analysis, Clinical Trials, Risk Modeling, Data Analysis, Precision Medicine, Decision Tree Learning, Predictive Modeling, Applied Machine Learning, Feature Engineering, Patient Treatment, Image Analysis, AI Personalization, Diagnostic Radiology, Machine Learning, Random Forest Algorithm, Forecasting, Data Processing, Artificial Intelligence, Tensorflow
Status: Free TrialSkills you'll gain: Prompt Engineering, Apache Spark, Large Language Modeling, PyTorch (Machine Learning Library), Computer Vision, Unsupervised Learning, Generative AI, PySpark, Keras (Neural Network Library), Supervised Learning, Deep Learning, Reinforcement Learning, Regression Analysis, LLM Application, Scikit Learn (Machine Learning Library), Applied Machine Learning, Natural Language Processing, Machine Learning, Python Programming, Data Science
In summary, here are 10 of our most popular deep learning specialization courses
- Deep Learning: DeepLearning.AI
- Machine Learning: DeepLearning.AI
- IBM Deep Learning with PyTorch, Keras and Tensorflow: IBM
- Reinforcement Learning: University of Alberta
- Mathematics for Machine Learning: Imperial College London
- Natural Language Processing: DeepLearning.AI
- Mathematics for Machine Learning and Data Science: DeepLearning.AI
- Deep Learning for Computer Vision: MathWorks
- Learning Deep Learning: Pearson
- IBM Machine Learning: IBM
