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  • Introduction To Machine Learning

Results for "introduction to machine learning"


  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Browser-based Models with TensorFlow.js

    Skills you'll gain: Image Analysis, Tensorflow, Computer Vision, Keras (Neural Network Library), JSON, Applied Machine Learning, Javascript, Deep Learning, Data Processing, Real Time Data, Web Applications, Machine Learning

    4.8
    Rating, 4.8 out of 5 stars
    ·
    1K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    PyTorch: Advanced Architectures and Deployment

    Skills you'll gain: PyTorch (Machine Learning Library), Generative AI, Deep Learning, MLOps (Machine Learning Operations), Application Deployment, Software Visualization, Artificial Neural Networks, Computer Vision, Dimensionality Reduction

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Developing Explainable AI (XAI)

    Skills you'll gain: Responsible AI, Data Ethics, Generative AI, Artificial Intelligence, Machine Learning, Machine Learning Methods, Artificial Neural Networks, Algorithms, Information Privacy, Decision Support Systems, Data Integrity

    4.6
    Rating, 4.6 out of 5 stars
    ·
    44 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Applied Text Mining in Python

    Skills you'll gain: Text Mining, Natural Language Processing, Pandas (Python Package), Scikit Learn (Machine Learning Library), Data Processing, Feature Engineering, Data Manipulation, Data Cleansing, Python Programming, Applied Machine Learning, Data Science, Unsupervised Learning, Supervised Learning

    4.2
    Rating, 4.2 out of 5 stars
    ·
    3.8K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Device-based Models with TensorFlow Lite

    Skills you'll gain: iOS Development, Android Development, Tensorflow, Swift Programming, Mobile Development, Applied Machine Learning, Embedded Systems, Machine Learning Methods, Computer Vision, Machine Learning

    4.7
    Rating, 4.7 out of 5 stars
    ·
    653 reviews

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Linear Regression with Python

    Skills you'll gain: Regression Analysis, NumPy, Applied Machine Learning, Supervised Learning, Machine Learning, Predictive Modeling, Deep Learning, Data Science, Python Programming

    4.6
    Rating, 4.6 out of 5 stars
    ·
    436 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • I

    IBM

    Specialized Models: Time Series and Survival Analysis

    Skills you'll gain: Time Series Analysis and Forecasting, Deep Learning, Statistical Analysis, Predictive Modeling, Statistical Methods, Forecasting, Jupyter, Data Cleansing, Applied Machine Learning, Data Transformation, Exploratory Data Analysis, Pandas (Python Package), Unsupervised Learning, Dimensionality Reduction

    4.5
    Rating, 4.5 out of 5 stars
    ·
    136 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Pennsylvania

    AI Fundamentals for Non-Data Scientists

    Skills you'll gain: Generative AI, Data Management, Big Data, Machine Learning Algorithms, Machine Learning, Tensorflow, Artificial Intelligence, Deep Learning, Algorithms, Process Optimization, Data Analysis, Artificial Neural Networks, Natural Language Processing

    4.8
    Rating, 4.8 out of 5 stars
    ·
    921 reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Generative AI for Software Development

    Skills you'll gain: Prompt Engineering, Large Language Modeling, Database Design, LLM Application, Software Documentation, Software Design Patterns, Databases, Test Automation, Collaborative Software, Software Testing, Application Design, Technical Documentation, Generative AI, Database Management, Software Design, Code Review, Software Architecture, Software Engineering, Software Development, Machine Learning

    4.6
    Rating, 4.6 out of 5 stars
    ·
    719 reviews

    Beginner · Professional Certificate · 1 - 3 Months

  • Status: Preview
    Preview
    U

    Universidad Nacional Autónoma de México

    Aprender

    Skills you'll gain: Learning Strategies, Learning Theory, Human Learning, Quick Learning, Self-Motivation, Lifelong Learning, Literacy, Mental Concentration, Willingness To Learn, Cognitive flexibility, Critical Thinking, Productivity, Personal Development, Self-Awareness, Growth Mindedness, Goal Setting

    4.9
    Rating, 4.9 out of 5 stars
    ·
    5.5K reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    AI Workflow: Feature Engineering and Bias Detection

    Skills you'll gain: Feature Engineering, Data Ethics, Unsupervised Learning, Dimensionality Reduction, Responsible AI, Text Mining, Applied Machine Learning, Data Transformation, Data Wrangling, Anomaly Detection, Exploratory Data Analysis, Machine Learning, Natural Language Processing, Data Science, Quality Assurance, Data Validation, Machine Learning Algorithms, Python Programming

    4.4
    Rating, 4.4 out of 5 stars
    ·
    76 reviews

    Advanced · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    Generative AI Language Modeling with Transformers

    Skills you'll gain: Generative AI, Large Language Modeling, PyTorch (Machine Learning Library), Natural Language Processing, Text Mining, Applied Machine Learning

    4.5
    Rating, 4.5 out of 5 stars
    ·
    127 reviews

    Intermediate · Course · 1 - 4 Weeks

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

  • Browser-based Models with TensorFlow.js: DeepLearning.AI
  • PyTorch: Advanced Architectures and Deployment: DeepLearning.AI
  • Developing Explainable AI (XAI): Duke University
  • Applied Text Mining in Python: University of Michigan
  • Device-based Models with TensorFlow Lite: DeepLearning.AI
  • Linear Regression with Python: Coursera
  • Specialized Models: Time Series and Survival Analysis: IBM
  • AI Fundamentals for Non-Data Scientists: University of Pennsylvania
  • Generative AI for Software Development: DeepLearning.AI
  • Aprender: Universidad Nacional Autónoma de México

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