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Results for "regularization methods"
Status: Free TrialStatus: AI skillsGoogle
Skills you'll gain: Data Storytelling, Data Literacy, Data Visualization, Data Presentation, Data Ethics, Data Cleansing, Rmarkdown, Interactive Data Visualization, Data Validation, Ggplot2, Tableau Software, Sampling (Statistics), Presentations, Spreadsheet Software, Data Analysis, Data Visualization Software, Stakeholder Communications, LinkedIn, Interviewing Skills, Applicant Tracking Systems
Status: Free TrialSkills you'll gain: Prompt Engineering, ChatGPT, Large Language Modeling, IBM Cloud
Status: Free TrialStatus: AI skillsGoogle
Skills you'll gain: Threat Modeling, Network Security, Incident Response, Vulnerability Management, Computer Security Incident Management, Hardening, Intrusion Detection and Prevention, Cyber Threat Intelligence, Threat Management, Cyber Attacks, Cybersecurity, Network Protocols, Cloud Security, Vulnerability Assessments, Bash (Scripting Language), Debugging, Linux, Interviewing Skills, Python Programming, SQL
Status: Free TrialSkills you'll gain: User Story, Usability Testing, New Product Development, Product Management, Product Lifecycle Management, Product Development, Innovation, Agile Software Development, Scrum (Software Development), Product Roadmaps, Agile Methodology, Kanban Principles, Backlogs, Product Planning, Sprint Retrospectives, Agile Project Management, Product Strategy, Product Testing, Project Management Life Cycle, Leadership
Status: Free TrialJohns Hopkins University
Skills you'll gain: Bioinformatics, Unix Commands, Biostatistics, Exploratory Data Analysis, Statistical Analysis, Unix, Data Science, Data Management, Statistical Methods, Molecular Biology, Command-Line Interface, Statistical Hypothesis Testing, Linux Commands, Data Analysis Software, Statistical Modeling, Data Structures, R Programming, Computational Thinking, Jupyter, Python Programming
Status: Free TrialSkills 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
What brings you to Coursera today?
Status: Free TrialDeepLearning.AI
Skills you'll gain: Tensorflow, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Performance Tuning, Artificial Neural Networks, Machine Learning Algorithms, Analysis, Debugging
Status: Free TrialUniversity of Amsterdam
Skills you'll gain: Qualitative Research, Scientific Methods, Statistical Analysis, Statistical Hypothesis Testing, Research, Research Design, Sampling (Statistics), Research Reports, Science and Research, Interviewing Skills, Data Analysis, Data Collection, Research Methodologies, Social Sciences, Surveys, Quantitative Research, Statistics, Regression Analysis, Statistical Inference, R Programming
Status: PreviewUniversity of London
Skills you'll gain: Peer Review, Surveys, Research, Research Methodologies, Research Design, Writing, Qualitative Research, Ethical Standards And Conduct
Status: Free TrialGoogle Cloud
Skills you'll gain: Machine Learning
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, Jupyter
Status: Free TrialMultiple educators
Skills you'll gain: Unsupervised Learning, Supervised Learning, Machine Learning Methods, Classification And Regression Tree (CART), Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Machine Learning Algorithms, Machine Learning, Jupyter, Data Ethics, Decision Tree Learning, Tensorflow, Scikit Learn (Machine Learning Library), Artificial Intelligence, NumPy, Predictive Modeling, Deep Learning, Reinforcement Learning, Random Forest Algorithm, Feature Engineering
In summary, here are 10 of our most popular regularization methods courses
- Google Data Analytics:Â Google
- Generative AI: Prompt Engineering Basics:Â IBM
- Google Cybersecurity:Â Google
- IBM Product Manager:Â IBM
- Genomic Data Science:Â Johns Hopkins University
- Machine Learning with Python:Â IBM
- Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization:Â DeepLearning.AI
- Methods and Statistics in Social Sciences:Â University of Amsterdam
- Understanding Research Methods:Â University of London
- Introduction to Generative AI Learning Path:Â Google Cloud
