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Results for "understanding purpose of sequential-probabilistic-inference steps"
Google
Skills you'll gain: Sampling (Statistics), Statistical Hypothesis Testing, Probability & Statistics, Advanced Analytics, Descriptive Statistics, Probability Distribution, Data Analysis, Analytics, Statistical Analysis, Probability, Statistical Methods, Data Science, A/B Testing, Statistics, Statistical Inference, Bayesian Statistics, Statistical Programming, Jupyter
Skills you'll gain: Security Controls, Cybersecurity, Cyber Attacks, Security Awareness, Cyber Security Policies, Network Analysis, Security Information and Event Management (SIEM), Ethical Standards And Conduct, SQL
- Status: Free
Yale University
Skills you'll gain: Positive Behavior Support, Goal Setting, Resilience, Self-Awareness, Behavioral Economics, Emotional Intelligence, Mental Health, Psychology, Social Skills, Time Management
University of Amsterdam
Skills you'll gain: Descriptive Statistics, Statistical Hypothesis Testing, Statistical Software, Probability Distribution, Sampling (Statistics), Correlation Analysis, Probability, Sample Size Determination, Statistics, Regression Analysis, Statistical Inference
Johns Hopkins University
Skills you'll gain: Shiny (R Package), Rmarkdown, Exploratory Data Analysis, Regression Analysis, Leaflet (Software), Version Control, Statistical Analysis, R Programming, Data Manipulation, Data Cleansing, Data Science, Statistical Inference, Predictive Modeling, Statistical Hypothesis Testing, Data Visualization, Plotly, Machine Learning Algorithms, Interactive Data Visualization, Probability & Statistics, Knitr
Skills you'll gain: Generative AI, Data Wrangling, Unit Testing, Supervised Learning, Feature Engineering, ChatGPT, Keras (Neural Network Library), Unsupervised Learning, Natural Language Processing, Data Cleansing, Jupyter, Data Analysis, Deep Learning, Data Manipulation, PyTorch (Machine Learning Library), Data Transformation, Artificial Intelligence, Data Import/Export, Data Ethics, Exploratory Data Analysis
Stanford University
Skills you'll gain: Bayesian Network, Graph Theory, Probability Distribution, Statistical Modeling, Markov Model, Decision Support Systems, Probability & Statistics, Network Analysis, Applied Machine Learning, Natural Language Processing
Skills you'll gain: Computer Hardware, Technical Support, Software Installation, Help Desk Support, Information Technology, Hardware Troubleshooting, Microsoft Windows, Linux, Computer Networking, Computational Logic, Technical Documentation
DeepLearning.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, Supervised Learning, Keras (Neural Network Library), Artificial Intelligence, Applied Machine Learning, PyTorch (Machine Learning Library), Machine Learning, Debugging, Performance Tuning, Machine Learning Methods, Python Programming, Data-Driven Decision-Making, Text Mining, Network Architecture
Skills you'll gain: Open Web Application Security Project (OWASP), Security Controls, Risk Management, Cybersecurity, Security Information and Event Management (SIEM), Incident Response, NIST 800-53, Cyber Security Policies, Cyber Risk, Safety Audits, Threat Detection, Compliance Auditing
Duke University
Skills you'll gain: Statistical Hypothesis Testing, Statistical Inference, Statistical Reporting, Statistical Methods, R Programming, Statistical Software, Statistical Analysis, Probability & Statistics, Data Analysis, Sampling (Statistics), Probability Distribution, Software Installation
Duke University
Skills you'll gain: Sampling (Statistics), Exploratory Data Analysis, Statistical Inference, Probability Distribution, Bayesian Statistics, R Programming, Data Analysis, Probability, Statistics, Statistical Analysis, Statistical Software, Data Science, Descriptive Statistics
In summary, here are 10 of our most popular understanding purpose of sequential-probabilistic-inference steps courses
- The Power of Statistics: Google
- Foundations of Cybersecurity: Google
- The Science of Well-Being: Yale University
- Basic Statistics: University of Amsterdam
- Data Science: Johns Hopkins University
- IBM Generative AI Engineering: IBM
- Probabilistic Graphical Models 1: Representation: Stanford University
- Technical Support Fundamentals: Google
- Deep Learning: DeepLearning.AI
- Play It Safe: Manage Security Risks: Google