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  • Machine Learning Fundamentals

Results for "machine learning fundamentals"


  • Status: Free Trial
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    J

    Johns Hopkins University

    Data Science: Statistics and Machine Learning

    Skills you'll gain: Shiny (R Package), Rmarkdown, Model Evaluation, Regression Analysis, Exploratory Data Analysis, Statistical Inference, Predictive Modeling, Statistical Hypothesis Testing, Machine Learning Algorithms, Plotly, Interactive Data Visualization, Probability & Statistics, Statistical Machine Learning, Data Presentation, Data Visualization, Statistical Analysis, Statistical Modeling, R Programming, Machine Learning, GitHub

    4.4
    Rating, 4.4 out of 5 stars
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    7.2K reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Preview
    Preview
    K

    Knowledge Accelerators

    Customer Service Fundamentals

    Skills you'll gain: Customer Service, Problem Solving, Customer Support, Greeting Customers, Help Desk Support, Customer and Client Support, Critical Thinking and Problem Solving, Technical Support and Services, Customer Relationship Management, Interpersonal Communications, Communication, Customer Complaint Resolution, Empathy, Customer Engagement, Customer experience improvement, Process Management

    4.8
    Rating, 4.8 out of 5 stars
    ·
    1.9K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    IT Fundamentals for Cybersecurity

    Skills you'll gain: Operating System Administration, IT Service Management, Cloud Computing, Governance Risk Management and Compliance, Information Technology Infrastructure Library, Malware Protection, Identity and Access Management, Linux Commands, Incident Response, Networking Hardware, TCP/IP, Cybersecurity, Linux Administration, Network Security, Network Protocols, Linux Servers, Cloud Security, Operating Systems, Responsible AI, Cyber Attacks

    4.6
    Rating, 4.6 out of 5 stars
    ·
    22K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of California, Davis

    Fundamentals of GIS

    Skills you'll gain: ArcGIS, GIS Software, Geographic Information Systems, Data Sharing, Spatial Analysis, Metadata Management, Data Quality, Data Visualization, Data Visualization Software, Data Analysis, File Management

    4.8
    Rating, 4.8 out of 5 stars
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    5.9K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    C

    Coursera

    Level Up: Java-Powered Machine Learning

    Skills you'll gain: Data Preprocessing, Model Evaluation, Model Deployment, MLOps (Machine Learning Operations), JUnit, Decision Tree Learning, Build Tools, Performance Tuning, Classification And Regression Tree (CART), Java, Apache Maven, Data Structures, Random Forest Algorithm, Gradle, Data Pipelines, Software Architecture, Software Design, Machine Learning, Object Oriented Programming (OOP), Apache

    Intermediate · Specialization · 3 - 6 Months

  • Status: Preview
    Preview
    E

    Edge Impulse

    Computer Vision with Embedded Machine Learning

    Skills you'll gain: Computer Vision, Convolutional Neural Networks, Image Analysis, Transfer Learning, Artificial Neural Networks, Embedded Systems, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Deep Learning, Model Deployment, Data Ethics, Data Preprocessing, Machine Learning, Computer Programming, Model Evaluation, Python Programming

    4.8
    Rating, 4.8 out of 5 stars
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    161 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    Generative AI Fundamentals

    Skills you'll gain: Prompt Engineering, Prompt Patterns, Generative AI, Generative Model Architectures, ChatGPT, Generative Adversarial Networks (GANs), Responsible AI, OpenAI, AI Product Strategy, Data Ethics, Large Language Modeling, Leadership and Management, AI Enablement, Business Leadership, Business Ethics, Hugging Face, Legal Risk, IBM Cloud, Artificial Intelligence and Machine Learning (AI/ML), AI Workflows

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

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    M

    Macquarie University

    Excel Fundamentals for Data Analysis

    Skills you'll gain: Excel Formulas, Microsoft Excel, Data Cleansing, Data Manipulation, Data Preprocessing, Spreadsheet Software, Data Transformation, Data Validation, Data Analysis, Pivot Tables And Charts, Automation

    4.8
    Rating, 4.8 out of 5 stars
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    4.2K reviews

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    Interpretable Machine Learning Applications: Part 2

    Skills you'll gain: Model Evaluation, Applied Machine Learning, Data Preprocessing, Classification Algorithms, Random Forest Algorithm, Predictive Modeling, Regression Analysis, Decision Tree Learning, Machine Learning, Scikit Learn (Machine Learning Library), Exploratory Data Analysis

    4.3
    Rating, 4.3 out of 5 stars
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    25 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • C

    Coursera

    Interpretable Machine Learning Applications: Part 1

    Skills you'll gain: Feature Engineering, Decision Tree Learning, Applied Machine Learning, Model Evaluation, Random Forest Algorithm, Responsible AI, Data Import/Export, Machine Learning, Classification Algorithms

    4.4
    Rating, 4.4 out of 5 stars
    ·
    70 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    U

    University of Illinois Urbana-Champaign

    Machine Learning for Accounting with Python

    Skills you'll gain: Machine Learning Algorithms, Model Evaluation, Data Preprocessing, Unsupervised Learning, Scikit Learn (Machine Learning Library), Machine Learning, Classification Algorithms, Text Mining, Applied Machine Learning, Time Series Analysis and Forecasting, Supervised Learning, Predictive Modeling, Python Programming, Regression Analysis, Feature Engineering, Jupyter, Pandas (Python Package), Data Manipulation

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
    ·
    43 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Machine Learning Operations (MLOps): Getting Started

    Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Google Cloud Platform, Model Evaluation, DevOps, Cloud Deployment, Continuous Deployment, Machine Learning, Continuous Integration, Automation, Data Pipelines

    4
    Rating, 4 out of 5 stars
    ·
    480 reviews

    Intermediate · Course · 1 - 4 Weeks

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In summary, here are 10 of our most popular machine learning fundamentals courses

  • Data Science: Statistics and Machine Learning: Johns Hopkins University
  • Customer Service Fundamentals: Knowledge Accelerators
  • IT Fundamentals for Cybersecurity: IBM
  • Fundamentals of GIS: University of California, Davis
  • Level Up: Java-Powered Machine Learning: Coursera
  • Computer Vision with Embedded Machine Learning: Edge Impulse
  • Generative AI Fundamentals: IBM
  • Excel Fundamentals for Data Analysis: Macquarie University
  • Interpretable Machine Learning Applications: Part 2: Coursera
  • Interpretable Machine Learning Applications: Part 1: Coursera

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