Results for "neural collaborative filtering"
Skills you'll gain: Model Evaluation, Data Preprocessing, Model Training, Feature Engineering, AI Personalization, Data Processing, Machine Learning Methods, Applied Machine Learning, Data Science, Machine Learning, Scalability, Machine Learning Software, Python Programming, Data Transformation, Pandas (Python Package), Predictive Analytics, Text Mining, Predictive Modeling, Taxonomy, Development Environment
Johns Hopkins University
Skills you'll gain: Responsible AI, Autoencoders, Model Training, Convolutional Neural Networks, Recurrent Neural Networks (RNNs), Data Ethics, Model Optimization, Deep Learning, Artificial Neural Networks, Reinforcement Learning, Generative AI, Generative Adversarial Networks (GANs), Machine Learning Algorithms, Model Deployment, Generative Model Architectures, Debugging, Machine Learning Methods, Artificial Intelligence, Image Analysis, Unsupervised Learning
Skills you'll gain: Computer Vision, Image Analysis, Model Evaluation, Convolutional Neural Networks, Model Optimization, Artificial Neural Networks, Model Training, Machine Learning Methods, PyTorch (Machine Learning Library), Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Transfer Learning, Machine Learning, Recurrent Neural Networks (RNNs), Artificial Intelligence, NumPy, Python Programming, Matplotlib, Data Visualization, Data Science
University of Minnesota
Skills you'll gain: AI Personalization, Model Evaluation, Machine Learning Algorithms, Taxonomy, Decision Support Systems, Business Metrics, Applied Machine Learning, Test Data, Machine Learning, Dimensionality Reduction, Performance Metric, Spreadsheet Software, Data Collection, Performance Measurement, Analysis, Systems Design, Solution Design, Predictive Modeling, Microsoft Excel, Statistical Methods
DeepLearning.AI
Skills you'll gain: Generative Adversarial Networks (GANs), Generative AI, Generative Model Architectures, PyTorch (Machine Learning Library), Image Analysis, Convolutional Neural Networks, Deep Learning, Model Training, Model Evaluation, Responsible AI, Data Ethics, Machine Learning, Image Quality, Information Privacy, Data Synthesis
Packt
Skills you'll gain: Recurrent Neural Networks (RNNs), Model Evaluation, AI Personalization, Data Manipulation, Apache Spark, Tensorflow, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Data Preprocessing, Machine Learning Methods, Data Wrangling, Natural Language Processing, AWS SageMaker, Scalability, Applied Machine Learning, Data Processing, Autoencoders, Data Cleansing, Dimensionality Reduction, Machine Learning
What brings you to Coursera today?
Dartmouth College
Skills you'll gain: Supervised Learning, Bayesian Network, Logistic Regression, Artificial Neural Networks, Machine Learning Methods, Statistical Modeling, Predictive Modeling, Model Evaluation, Convolutional Neural Networks, Statistical Machine Learning, Probability & Statistics, Bayesian Statistics, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Machine Learning Algorithms, Statistical Methods, Artificial Intelligence, Regression Analysis, Statistical Inference
Skills you'll gain: Model Evaluation, Convolutional Neural Networks, Model Training, Data Preprocessing, Image Analysis, Predictive Modeling, Deep Learning, Keras (Neural Network Library), Tensorflow, Data Processing, Model Optimization, Computer Vision, Artificial Neural Networks, Recurrent Neural Networks (RNNs), Data Transformation, Financial Forecasting, Applied Machine Learning, Feature Engineering, Statistical Visualization, Python Programming
Skills you'll gain: PyTorch (Machine Learning Library), Model Optimization, Model Training, Deep Learning, Performance Analysis, Artificial Neural Networks, Resource Utilization
Saïd Business School, University of Oxford
Skills you'll gain: AI Personalization, Generative Engine Optimization (GEO), Machine Learning Methods, Media Strategy, Responsible AI, Machine Learning Algorithms, Machine Learning, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), AI Enablement, Media and Communications, Content Performance Analysis, Predictive Analytics, Algorithms, Driving engagement, Generative AI, LLM Application, Data Storytelling, Target Audience, Strategic Thinking
Skills you'll gain: Supervised Learning, Data Modeling, Unsupervised Learning, Applied Machine Learning, Data Analysis, Recurrent Neural Networks (RNNs), Model Deployment, Reinforcement Learning, Artificial Intelligence, Classification Algorithms, Tensorflow, Machine Learning Algorithms, Keras (Neural Network Library), Artificial Neural Networks, Machine Learning Methods, Deep Learning, Predictive Modeling, Machine Learning, Decision Tree Learning, Regression Analysis
John Wiley & Sons
Skills you'll gain: Supervised Learning, Machine Learning Methods, Image Analysis, Statistical Machine Learning, Applied Machine Learning, Computer Vision, Machine Learning Algorithms, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Natural Language Processing, Deep Learning, Artificial Neural Networks, Text Mining, Decision Tree Learning, Advanced Analytics, Convolutional Neural Networks, Model Optimization, Data Science, Data Processing, Logistic Regression
In summary, here are 10 of our most popular neural collaborative filtering courses
- Mastering Recommendation Systems with Python:Â EDUCBA
- Foundations of Neural Networks:Â Johns Hopkins University
- Neural Networks and Computer Vision Foundations:Â Edureka
- Recommender Systems:Â University of Minnesota
- Generative Adversarial Networks (GANs):Â DeepLearning.AI
- Recommender Systems:Â Packt
- Practical Machine Learning: Foundations to Neural Networks:Â Dartmouth College
- Deep Learning with Python: CNN, ANN & RNN:Â EDUCBA
- Optimize PyTorch: Build and Accelerate Layers:Â Coursera
- AI and Content Recommendation: Saïd Business School, University of Oxford
