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  • Model Attack Methods

Results for "model attack methods"


  • I

    IBM

    Generative AI for Mobile App Developers

    Skills you'll gain: Prompt Engineering, Prompt Patterns, ChatGPT, Generative AI, Data Ethics, AI Personalization, Mobile Development, Software Design, Anthropic Claude, LLM Application, Software Architecture, Apple iOS, AI Product Strategy, Machine Learning Methods, Continuous Integration, Software Design Patterns, Software Development, Application Design, Real Time Data, Artificial Intelligence and Machine Learning (AI/ML)

    4.7
    Rating, 4.7 out of 5 stars
    ·
    12K reviews

    Advanced · Specialization · 3 - 6 Months

  • G

    Google

    Process Data from Dirty to Clean

    Skills you'll gain: Data Cleansing, Sampling (Statistics), Data Integrity, Data Quality, Data Processing, Data Analysis, Data Transformation, Data Validation, Sample Size Determination, SQL, Spreadsheet Software

    4.8
    Rating, 4.8 out of 5 stars
    ·
    19K reviews

    Beginner · Course · 1 - 3 Months

  • U

    University of California, Davis

    SQL for Data Science

    Skills you'll gain: Data Governance, SQL, Data Quality, Database Design, Query Languages, Data Modeling, Relational Databases, Data Manipulation, Data Science, Data Analysis, Descriptive Statistics

    4.6
    Rating, 4.6 out of 5 stars
    ·
    17K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Job Skills
    Job Skills
    I

    IBM

    IBM Java Developer

    Skills you'll gain: Software Development Life Cycle, Cloud-Native Computing, Software Architecture, Hibernate (Java), Database Design, Responsive Web Design, Docker (Software), Containerization, Git (Version Control System), GitHub, Object Oriented Programming (OOP), CI/CD, Restful API, Data Ethics, Java Programming, Model Deployment, Engineering Software, Version Control, Database Management, Software Design

    4.6
    Rating, 4.6 out of 5 stars
    ·
    7.5K reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • Status: Top AI Program
    Top AI Program
    G

    Google Cloud

    Introduction to Generative AI Learning Path

    Skills you'll gain: Responsible AI, Google Gemini, LLM Application, AI Enablement, AI Product Strategy, Stakeholder Analysis

    4.7
    Rating, 4.7 out of 5 stars
    ·
    13K reviews

    Intermediate · Specialization · 1 - 3 Months

  • I

    IBM

    Data Science Methodology

    Skills you'll gain: Jupyter, Data Modeling, Model Deployment, Data Science, Data Preprocessing, Data Cleansing, Data Mining, Model Evaluation, Business Analysis, Data Analysis, Business Requirements, Decision Tree Learning, Data Storytelling

    4.6
    Rating, 4.6 out of 5 stars
    ·
    21K reviews

    Beginner · Course · 1 - 4 Weeks

  • D

    DeepLearning.AI

    Advanced Learning Algorithms

    Skills you'll gain: Transfer Learning, Machine Learning, Applied Machine Learning, Data Ethics, Decision Tree Learning, Model Evaluation, Tensorflow, Artificial Intelligence, Supervised Learning, Deep Learning, Classification Algorithms, Random Forest Algorithm, Artificial Neural Networks, Logistic Regression, Performance Tuning

    4.9
    Rating, 4.9 out of 5 stars
    ·
    8.6K reviews

    Beginner · Course · 1 - 4 Weeks

  • I

    IBM

    Generative AI for Java and Spring Developers

    Skills you'll gain: Prompt Engineering, Prompt Patterns, ChatGPT, Generative AI, Data Ethics, Model Deployment, Restful API, Software Design, Application Deployment, Software Architecture, Continuous Integration, Software Design Patterns, Software Development, LLM Application, Java, Real Time Data, Artificial Intelligence and Machine Learning (AI/ML), Development Environment, Image Analysis, Java Programming

    4.7
    Rating, 4.7 out of 5 stars
    ·
    12K reviews

    Intermediate · Specialization · 3 - 6 Months

  • U

    University of Michigan

    Statistics with Python

    Skills you'll gain: Statistical Hypothesis Testing, Sampling (Statistics), Statistical Modeling, Statistical Methods, Statistical Inference, Bayesian Statistics, Data Visualization, Data Literacy, Statistics, Matplotlib, Statistical Visualization, Statistical Software, Probability & Statistics, Model Evaluation, Seaborn, Statistical Analysis, Jupyter, Statistical Programming, Statistical Machine Learning, Python Programming

    4.6
    Rating, 4.6 out of 5 stars
    ·
    3.3K reviews

    Beginner · Specialization · 1 - 3 Months

  • U

    University of Michigan

    Applied Data Science with Python

    Skills you'll gain: Matplotlib, Network Analysis, Social Network Analysis, Feature Engineering, Data Visualization, Pandas (Python Package), Data Visualization Software, Interactive Data Visualization, Model Evaluation, Scientific Visualization, Applied Machine Learning, Supervised Learning, Text Mining, Visualization (Computer Graphics), Data Manipulation, NumPy, Graph Theory, Data Preprocessing, Natural Language Processing, Python Programming

    4.5
    Rating, 4.5 out of 5 stars
    ·
    34K reviews

    Intermediate · Specialization · 3 - 6 Months

  • U

    University of Toronto

    Introduction to Psychology

    Skills you'll gain: Psychology, Mental Health Diseases and Disorders, Mental Health Therapies, Human Development, Mental Health, Social Sciences, Scientific Methods, Neurology, Experimentation, Cultural Diversity

    4.9
    Rating, 4.9 out of 5 stars
    ·
    5.4K reviews

    Mixed · Course · 1 - 3 Months

  • C

    Coursera

    Explain Black-Box Models

    Skills you'll gain: Stakeholder Communications, Stakeholder Analysis, Data Presentation, Data Analysis, Exploratory Data Analysis, Business Communication, Model Evaluation, Responsible AI, Statistical Methods

    Intermediate · Course · 1 - 4 Weeks

1…303132…561

In summary, here are 10 of our most popular model attack methods courses

  • Generative AI for Mobile App Developers: IBM
  • Process Data from Dirty to Clean: Google
  • SQL for Data Science: University of California, Davis
  • IBM Java Developer: IBM
  • Introduction to Generative AI Learning Path: Google Cloud
  • Data Science Methodology: IBM
  • Advanced Learning Algorithms: DeepLearning.AI
  • Generative AI for Java and Spring Developers: IBM
  • Statistics with Python: University of Michigan
  • Applied Data Science with Python: University of Michigan

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