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  • Intrusion Detection Fundamentals

Results for "intrusion detection fundamentals"


  • Status: Free
    Free
    A

    Amazon Web Services

    Fundamentals of Analytics on AWS

    Skills you'll gain: Data-Driven Decision-Making, Data Lakes, Analytics, Data Architecture, Data Warehousing, Data Management, Data Analysis, Big Data, Business Analytics, Data Storage, Amazon Web Services, Machine Learning, Data Strategy

    4.4
    Rating, 4.4 out of 5 stars
    ·
    54 reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    V

    Vanderbilt University

    AI Agents in Java with Generative AI

    Skills you'll gain: Prompt Engineering, ChatGPT, Prompt Patterns, Generative AI Agents, LLM Application, Productivity, OpenAI, Java, Agentic systems, Generative AI, Artificial Intelligence, Large Language Modeling, JUnit, Artificial Intelligence and Machine Learning (AI/ML), Creative Thinking, Creative Problem-Solving, Document Management, Secure Coding, Business Logic, Problem Solving

    4.8
    Rating, 4.8 out of 5 stars
    ·
    7.2K reviews

    Beginner · Specialization · 3 - 6 Months

  • P

    Packt

    Computer Vision: YOLO Custom Object Detection with Colab GPU

    Skills you'll gain: Computer Vision, Image Analysis, Google Cloud Platform, Deep Learning, Real Time Data, Python Programming, Applied Machine Learning, Development Environment, Machine Learning Algorithms, Data Processing, Performance Tuning, Data Collection, Software Installation

    3.1
    Rating, 3.1 out of 5 stars
    ·
    9 reviews

    Beginner · Course · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Convolutional Neural Networks

    Skills you'll gain: Computer Vision, Image Analysis, Deep Learning, Artificial Neural Networks, Keras (Neural Network Library), Tensorflow, Applied Machine Learning, PyTorch (Machine Learning Library), Artificial Intelligence and Machine Learning (AI/ML), Feature Engineering, Algorithms

    4.9
    Rating, 4.9 out of 5 stars
    ·
    43K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    M

    Microsoft

    Data Visualization Fundamentals

    Skills you'll gain: Data Storytelling, Data Presentation, Power BI, Data Visualization Software, Data Visualization, Interactive Data Visualization, Statistical Visualization, Dashboard, Data-Driven Decision-Making, Business Intelligence, Pivot Tables And Charts, Data Analysis, Scatter Plots, Histogram

    4.7
    Rating, 4.7 out of 5 stars
    ·
    89 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    P

    Pearson

    Data Science Fundamentals Part 2: Unit 3

    Skills you'll gain: Predictive Modeling, Statistical Modeling, Predictive Analytics, Regression Analysis, Scikit Learn (Machine Learning Library), Probability & Statistics, Statistical Inference, Business Analytics, Data Analysis, Statistical Analysis, Probability Distribution, Estimation, Supervised Learning, Machine Learning, Performance Metric

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    P

    Pearson

    Data Science Fundamentals Part 2: Unit 1

    Skills you'll gain: Exploratory Data Analysis, Matplotlib, Box Plots, Data Analysis, Data Visualization, Descriptive Statistics, Scatter Plots, Data Visualization Software, Histogram, Seaborn, Statistical Analysis, Correlation Analysis, Statistical Methods

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    P

    Pearson

    Data Science Fundamentals Part 2: Unit 2

    Skills you'll gain: A/B Testing, Sampling (Statistics), Statistical Inference, Estimation, Statistical Analysis, Analytics, Probability & Statistics, Data Analysis, Correlation Analysis, Descriptive Statistics

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Introduction to Python Fundamentals

    Skills you'll gain: Programming Principles, Computer Programming, Data Manipulation, Python Programming, Scripting Languages, Scripting, Data Science

    4.8
    Rating, 4.8 out of 5 stars
    ·
    223 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    S

    Sungkyunkwan University

    Fundamentals of CNNs and RNNs

    Skills you'll gain: Image Analysis, Computer Vision, Artificial Neural Networks, Natural Language Processing, Deep Learning, Network Model, Machine Learning

    4.4
    Rating, 4.4 out of 5 stars
    ·
    39 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Unsupervised Learning, Recommenders, Reinforcement Learning

    Skills you'll gain: Unsupervised Learning, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Data Ethics, Machine Learning, Supervised Learning, Artificial Intelligence, Reinforcement Learning, Deep Learning, Anomaly Detection, Dimensionality Reduction, Algorithms

    4.9
    Rating, 4.9 out of 5 stars
    ·
    5.3K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Applied Social Network Analysis in Python

    Skills you'll gain: Network Analysis, Social Network Analysis, Graph Theory, Data Analysis, Analysis, Pandas (Python Package), Predictive Analytics, Unsupervised Learning, Matplotlib, Python Programming, Data Import/Export, Algorithms

    4.6
    Rating, 4.6 out of 5 stars
    ·
    2.7K reviews

    Intermediate · Course · 1 - 4 Weeks

1…678…34

In summary, here are 10 of our most popular intrusion detection fundamentals courses

  • Fundamentals of Analytics on AWS: Amazon Web Services
  • AI Agents in Java with Generative AI: Vanderbilt University
  • Computer Vision: YOLO Custom Object Detection with Colab GPU: Packt
  • Convolutional Neural Networks: DeepLearning.AI
  • Data Visualization Fundamentals: Microsoft
  • Data Science Fundamentals Part 2: Unit 3: Pearson
  • Data Science Fundamentals Part 2: Unit 1: Pearson
  • Data Science Fundamentals Part 2: Unit 2: Pearson
  • Introduction to Python Fundamentals: University of Colorado Boulder
  • Fundamentals of CNNs and RNNs: Sungkyunkwan University

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