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  • Introduction To Machine Learning

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Results for "introduction to machine learning"


  • Status: Free Trial
    Free Trial
    S

    Simplilearn

    Introduction Course to Autoencoders, VAEs, and GANs

    Skills you'll gain: Generative Adversarial Networks (GANs), Generative AI, Autoencoders, Deep Learning, Convolutional Neural Networks, Tensorflow, Unsupervised Learning, Dimensionality Reduction, Model Evaluation

    Beginner · Course · 1 - 4 Weeks

  • 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
    I

    IBM

    Supervised Machine Learning: Classification

    Skills you'll gain: Classification Algorithms, Supervised Learning, Model Evaluation, Data Preprocessing, Logistic Regression, Decision Tree Learning, Predictive Modeling, Scikit Learn (Machine Learning Library), Data Cleansing, Machine Learning, Feature Engineering, Random Forest Algorithm, Sampling (Statistics), Performance Metric

    4.8
    Rating, 4.8 out of 5 stars
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    448 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
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    Google Cloud

    Introduction to AI and Machine Learning on GC - Español

    Skills you'll gain: Generative AI, Google Cloud Platform, MLOps (Machine Learning Operations), Tensorflow, Cloud Infrastructure, Cloud Platforms, Artificial Intelligence, Model Deployment, Applied Machine Learning, Machine Learning, Natural Language Processing

    4.2
    Rating, 4.2 out of 5 stars
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    15 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    A

    Alberta Machine Intelligence Institute

    Introduction to Applied Machine Learning

    Skills you'll gain: Data Preprocessing, Data Ethics, Applied Machine Learning, Machine Learning, Machine Learning Algorithms, Product Lifecycle Management, Case Studies, Data Collection, Supervised Learning, Business Requirements, Data Quality, Business Analysis, Unsupervised Learning, Artificial Intelligence

    4.7
    Rating, 4.7 out of 5 stars
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    746 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Unsupervised Learning, Recommenders, Reinforcement Learning

    Skills you'll gain: Unsupervised Learning, Data Ethics, Machine Learning, Supervised Learning, Artificial Intelligence, Reinforcement Learning, Artificial Neural Networks, Deep Learning, Anomaly Detection, Dimensionality Reduction, Algorithms

    4.9
    Rating, 4.9 out of 5 stars
    ·
    5.4K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    B

    Board Infinity

    Machine Learning Fundamentals for Java Developers

    Skills you'll gain: Classification Algorithms, Data Preprocessing, Model Deployment, Model Evaluation, Decision Tree Learning, Regression Analysis, Logistic Regression

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    S

    Stanford University

    Fundamentals of Machine Learning for Healthcare

    Skills you'll gain: Healthcare Ethics, Data Ethics, Applied Machine Learning, Machine Learning Algorithms, Machine Learning, Responsible AI, Artificial Neural Networks, Healthcare Industry Knowledge, Model Evaluation, Artificial Intelligence and Machine Learning (AI/ML), Reinforcement Learning, Deep Learning, Convolutional Neural Networks, Health Policy, Data Preprocessing

    4.8
    Rating, 4.8 out of 5 stars
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    603 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Preview
    Preview
    E

    Edge Impulse

    Introduction to Embedded Machine Learning

    Skills you'll gain: Model Evaluation, Applied Machine Learning, Embedded Software, Data Preprocessing, Embedded Systems, Machine Learning, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Data Ethics, Deep Learning, Model Deployment, Convolutional Neural Networks, Data Analysis, Feature Engineering, Computer Programming, Digital Signal Processing

    4.8
    Rating, 4.8 out of 5 stars
    ·
    746 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    G

    Google Cloud

    Introduction to AI and Machine Learning on GC - Português

    Skills you'll gain: Google Gemini, Generative AI, Google Cloud Platform, MLOps (Machine Learning Operations), Artificial Intelligence and Machine Learning (AI/ML), Tensorflow, Model Deployment, AI Workflows, Cloud Infrastructure, Data Preprocessing, Machine Learning, Feature Engineering, Natural Language Processing, Model Evaluation

    Beginner · Course · 1 - 3 Months

  • Status: Preview
    Preview
    G

    Google Cloud

    Introduction to AI and Machine Learning on GC - 日本語版

    Skills you'll gain: Generative AI, Google Cloud Platform, Prompt Engineering, MLOps (Machine Learning Operations), Artificial Intelligence and Machine Learning (AI/ML), Big Data, AI Workflows, Natural Language Processing, Machine Learning, Model Deployment, Model Evaluation

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    N

    New York University

    Fundamentals of Machine Learning in Finance

    Skills you'll gain: Supervised Learning, Dimensionality Reduction, Unsupervised Learning, Applied Machine Learning, Decision Tree Learning, Machine Learning, Financial Trading, Reinforcement Learning, Scikit Learn (Machine Learning Library), Financial Services, Regression Analysis, Correlation Analysis, Exploratory Data Analysis, Portfolio Management, Python Programming, Artificial Neural Networks

    3.7
    Rating, 3.7 out of 5 stars
    ·
    341 reviews

    Intermediate · Course · 1 - 4 Weeks

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

  • Introduction Course to Autoencoders, VAEs, and GANs: Simplilearn
  • 機器學習基石上 (Machine Learning Foundations)---Mathematical Foundations: National Taiwan University
  • Supervised Machine Learning: Classification: IBM
  • Introduction to AI and Machine Learning on GC - Español: Google Cloud
  • Introduction to Applied Machine Learning: Alberta Machine Intelligence Institute
  • Unsupervised Learning, Recommenders, Reinforcement Learning: DeepLearning.AI
  • Machine Learning Fundamentals for Java Developers: Board Infinity
  • Fundamentals of Machine Learning for Healthcare: Stanford University
  • Introduction to Embedded Machine Learning: Edge Impulse
  • Introduction to AI and Machine Learning on GC - Português: Google Cloud

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