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  • Machine Learning Foundations

Results for "machine learning foundations"


  • Status: Free Trial
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    I

    IBM

    Generative AI for Business Intelligence (BI) Analysts

    Skills you'll gain: Prompt Engineering, Prompt Patterns, Generative AI, Interactive Data Visualization, Business Intelligence, ChatGPT, Data Presentation, Infographics, Data Visualization, Dashboard, Data Storytelling, Data Visualization Software, AI Product Strategy, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Large Language Modeling, Deep Learning, SQL, Data Analysis, Image Quality

    4.7
    Rating, 4.7 out of 5 stars
    ·
    11K reviews

    Intermediate · Specialization · 1 - 3 Months

  • C

    Coursera

    Predictive Analytics for Business with H2O in R

    Skills you'll gain: R Programming, Predictive Analytics, Applied Machine Learning, Analytics, Data Science, Data Processing, Feature Engineering, Machine Learning, Telemarketing, Application Deployment

    4.9
    Rating, 4.9 out of 5 stars
    ·
    53 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    C

    CertNexus

    Build Regression, Classification, and Clustering Models

    Skills you'll gain: Applied Machine Learning, Unsupervised Learning, Regression Analysis, Machine Learning Algorithms, Linear Algebra, Machine Learning, Predictive Modeling, Statistical Modeling, Supervised Learning, Feature Engineering, Classification And Regression Tree (CART), Performance Tuning, Dimensionality Reduction, Algorithms

    4.4
    Rating, 4.4 out of 5 stars
    ·
    18 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    Status: AI skills
    AI skills
    I

    IBM

    IBM Data Analyst

    Skills you'll gain: Exploratory Data Analysis, Data Storytelling, Data Wrangling, Dashboard, Data Visualization Software, Plotly, Data Visualization, Data Presentation, Interactive Data Visualization, Generative AI, SQL, Data Transformation, Data Analysis, Statistical Visualization, IBM Cognos Analytics, Excel Formulas, Professional Networking, Data Import/Export, Microsoft Excel, Python Programming

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
    ·
    97K reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    GPU Programming

    Skills you'll gain: Artificial Neural Networks, Image Analysis, Event-Driven Programming, Scalability, Deep Learning, Software Development, C++ (Programming Language), Machine Learning Methods, Performance Tuning, C and C++, Linear Algebra, Distributed Computing, Computer Graphics, System Programming, Hardware Architecture, Computer Vision, Programming Principles, OS Process Management, Data Structures, Machine Learning

    Build toward a degree

    2.8
    Rating, 2.8 out of 5 stars
    ·
    181 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Introduction to Generative AI for Software Development

    Skills you'll gain: Prompt Engineering, Large Language Modeling, LLM Application, Generative AI, Code Review, Program Development, Software Development Methodologies, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML)

    4.6
    Rating, 4.6 out of 5 stars
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    585 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    M

    Microsoft

    Building AI Cloud Apps with Microsoft Azure

    Skills you'll gain: Responsible AI, Cloud Development, Image Analysis, Anomaly Detection, Prompt Engineering, Microsoft Copilot, Microsoft Azure, Cloud Storage, Data Storage, Cloud Applications, Text Mining, Microsoft Development Tools, Unsupervised Learning, Data Storage Technologies, Natural Language Processing, Cloud Hosting, Continuous Deployment, Computer Vision, Cloud Computing, Machine Learning

    4.5
    Rating, 4.5 out of 5 stars
    ·
    668 reviews

    Intermediate · Specialization · 3 - 6 Months

  • 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

  • C

    Coursera

    Semantic Segmentation with Amazon Sagemaker

    Skills you'll gain: AWS SageMaker, AWS Identity and Access Management (IAM), Image Analysis, Amazon Elastic Compute Cloud, Amazon S3, Applied Machine Learning, Application Deployment, Machine Learning Algorithms, Computer Vision, Deep Learning, Machine Learning

    4.6
    Rating, 4.6 out of 5 stars
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    94 reviews

    Advanced · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    I

    Imperial College London

    Getting started with TensorFlow 2

    Skills you'll gain: Tensorflow, Keras (Neural Network Library), Deep Learning, Image Analysis, Computer Programming, Program Development, Data Validation, Applied Machine Learning, Supervised Learning, Predictive Modeling, Computer Vision, Machine Learning Methods, Artificial Neural Networks, Jupyter, Application Programming Interface (API)

    4.9
    Rating, 4.9 out of 5 stars
    ·
    580 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Recommendation Systems on Google Cloud

    Skills you'll gain: Reinforcement Learning, Google Cloud Platform, AI Personalization, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Machine Learning Algorithms, Deep Learning, Applied Machine Learning, Artificial Neural Networks, Predictive Modeling, Algorithms, Data Processing

    4.5
    Rating, 4.5 out of 5 stars
    ·
    484 reviews

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    S

    Stanford University

    Probabilistic Graphical Models 2: Inference

    Skills you'll gain: Bayesian Network, Statistical Inference, Markov Model, Graph Theory, Sampling (Statistics), Applied Machine Learning, Statistical Methods, Probability & Statistics, Algorithms, Machine Learning Algorithms, Computational Thinking

    4.6
    Rating, 4.6 out of 5 stars
    ·
    488 reviews

    Advanced · Course · 1 - 3 Months

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

  • Generative AI for Business Intelligence (BI) Analysts: IBM
  • Predictive Analytics for Business with H2O in R: Coursera
  • Build Regression, Classification, and Clustering Models: CertNexus
  • IBM Data Analyst: IBM
  • GPU Programming: Johns Hopkins University
  • Introduction to Generative AI for Software Development: DeepLearning.AI
  • Building AI Cloud Apps with Microsoft Azure: Microsoft
  • Generative AI Language Modeling with Transformers: IBM
  • Semantic Segmentation with Amazon Sagemaker: Coursera
  • Getting started with TensorFlow 2: Imperial College London

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