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Results for "machine+learning+foundations"


  • Status: Free Trial
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    I

    IBM

    Generative AI: Foundation Models and Platforms

    Skills you'll gain: Generative AI, Generative Model Architectures, OpenAI, Hugging Face, Large Language Modeling, Prompt Engineering, Model Deployment, IBM Cloud, Deep Learning, Natural Language Processing

    4.7
    Rating, 4.7 out of 5 stars
    ·
    294 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    F

    Fractal Analytics

    Foundations of Machine Learning

    Skills you'll gain: Model Evaluation, Model Deployment, Machine Learning, Supervised Learning, Regression Analysis, Decision Tree Learning, Feature Engineering, Data Preprocessing, Unsupervised Learning, Predictive Modeling, Logistic Regression, Anomaly Detection, Classification Algorithms

    4.5
    Rating, 4.5 out of 5 stars
    ·
    13 reviews

    Beginner · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
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    D

    Dartmouth College

    Foundations for Machine Learning

    Skills you'll gain: Classification Algorithms

    Build toward a degree

    Intermediate · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
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    E

    EDUCBA

    AI Driven Machine Learning with Python

    Skills you'll gain: Model Evaluation, Classification Algorithms, Regression Analysis, Matplotlib, Feature Engineering, Time Series Analysis and Forecasting, Data Preprocessing, Jupyter, Image Analysis, Cloud Deployment, Scikit Learn (Machine Learning Library), Applied Machine Learning, Tensorflow, Amazon Web Services, Python Programming, Data Transformation, Logistic Regression, Machine Learning Methods, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML)

    Beginner · Specialization · 1 - 3 Months

  • Status: Preview
    Preview
    N

    National Taiwan University

    機器學習基石上 (Machine Learning Foundations)---Mathematical Foundations

    Skills you'll gain: Supervised Learning, Machine Learning, Statistical Machine Learning, Model Evaluation, Logistic Regression, Theoretical Computer Science, Classification Algorithms, Mathematical Theory & Analysis, Probability & Statistics, Algorithms

    4.9
    Rating, 4.9 out of 5 stars
    ·
    937 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    S

    Simplilearn

    AI ML with Deep Learning and Supervised Models

    Skills you'll gain: Supervised Learning, Data Modeling, Unsupervised Learning, Applied Machine Learning, Data Analysis, Recurrent Neural Networks (RNNs), Model Deployment, Reinforcement Learning, Artificial Intelligence, Classification Algorithms, Classification And Regression Tree (CART), Tensorflow, Machine Learning Algorithms, Keras (Neural Network Library), Artificial Neural Networks, Deep Learning, Machine Learning, Decision Tree Learning, Predictive Analytics, Regression Analysis

    4
    Rating, 4 out of 5 stars
    ·
    10 reviews

    Beginner · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Washington

    Machine Learning Foundations: A Case Study Approach

    Skills you'll gain: Model Evaluation, Applied Machine Learning, Feature Engineering, Regression Analysis, Machine Learning, Image Analysis, Supervised Learning, Artificial Intelligence, Data Preprocessing, Deep Learning, Computer Vision, Application Development, Predictive Modeling, Unsupervised Learning, Natural Language Processing, Text Mining, Python Programming, Classification Algorithms

    4.6
    Rating, 4.6 out of 5 stars
    ·
    14K reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Machine Learning with Python

    Skills you'll gain: Unsupervised Learning, Supervised Learning, Model Evaluation, Regression Analysis, Scikit Learn (Machine Learning Library), Applied Machine Learning, Predictive Modeling, Machine Learning, Dimensionality Reduction, Decision Tree Learning, Python Programming, Logistic Regression, Classification Algorithms, Feature Engineering

    4.7
    Rating, 4.7 out of 5 stars
    ·
    18K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Foundations of Neural Networks

    Skills you'll gain: Responsible AI, Autoencoders, Convolutional Neural Networks, Recurrent Neural Networks (RNNs), Data Ethics, Deep Learning, Artificial Neural Networks, Reinforcement Learning, Generative AI, Generative Adversarial Networks (GANs), Machine Learning Algorithms, Model Deployment, Debugging, Artificial Intelligence, Image Analysis, Unsupervised Learning, Machine Learning Methods, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Computer Vision

    4.3
    Rating, 4.3 out of 5 stars
    ·
    10 reviews

    Intermediate · Specialization · 3 - 6 Months

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

    Packt

    Foundations of AI, LLMs, and Development Environments

    Skills you'll gain: OpenAI API, Generative Model Architectures, Hugging Face, Programming Principles, Computer Programming, Software Installation

    Intermediate · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    E

    EDUCBA

    Machine Learning with R: Build, Analyze & Predict

    Skills you'll gain: Data Analysis, Statistical Analysis, Probability Distribution, R Programming, Exploratory Data Analysis, Statistical Modeling, Machine Learning, Statistical Inference, Classification Algorithms, Data Manipulation, Supervised Learning, Random Forest Algorithm, Regression Analysis, Model Evaluation, Decision Tree Learning

    Mixed · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Preview
    Preview
    E

    EDUCBA

    Deep Learning: Build & Optimize Neural Networks

    Skills you'll gain: Feature Engineering, Deep Learning, PyTorch (Machine Learning Library), Convolutional Neural Networks, Natural Language Processing, Data Preprocessing, Artificial Neural Networks, Transfer Learning, Recurrent Neural Networks (RNNs), Artificial Intelligence, Computer Vision, Jupyter, Predictive Modeling, Machine Learning, Model Evaluation, Data Transformation

    Mixed · Course · 1 - 3 Months

1234…9

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

  • Generative AI: Foundation Models and Platforms: IBM
  • Foundations of Machine Learning : Fractal Analytics
  • Foundations for Machine Learning: Dartmouth College
  • AI Driven Machine Learning with Python: EDUCBA
  • 機器學習基石上 (Machine Learning Foundations)---Mathematical Foundations: National Taiwan University
  • AI ML with Deep Learning and Supervised Models: Simplilearn
  • Machine Learning Foundations: A Case Study Approach: University of Washington
  • Machine Learning with Python: IBM
  • Foundations of Neural Networks: Johns Hopkins University
  • Foundations of AI, LLMs, and Development Environments: Packt

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