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  • Introduction To Machine Learning

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Results for "introduction to machine learning"


  • Status: Preview
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    U

    University of Geneva

    Particle Physics: an Introduction

    Skills you'll gain: Physics, electromagnetics, Materials science, Laboratory Equipment, Physical Science, Radiation Protection, Experimentation, Mechanics, Research

    4.4
    Rating, 4.4 out of 5 stars
    ·
    961 reviews

    Mixed · Course · 1 - 3 Months

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    N

    Northeastern University

    Statistical Learning for Engineering Part 1

    Skills you'll gain: Unsupervised Learning, Supervised Learning, Regression Analysis, Applied Machine Learning, Statistical Modeling, Machine Learning Algorithms, PyTorch (Machine Learning Library), Statistical Methods, Statistical Machine Learning, Machine Learning, Predictive Analytics, Predictive Modeling, Machine Learning Software, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Classification Algorithms, Logistic Regression, Unstructured Data, Model Evaluation, Dimensionality Reduction

    Intermediate · Course · 1 - 3 Months

  • Status: New
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    N

    Northeastern University

    Statistical Learning for Engineering Part 2

    Skills you'll gain: PyTorch (Machine Learning Library), Unsupervised Learning, Reinforcement Learning, Supervised Learning, Dimensionality Reduction, Statistical Machine Learning, Machine Learning, Machine Learning Software, Convolutional Neural Networks, Artificial Neural Networks, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Transfer Learning, Decision Tree Learning, Classification Algorithms, Random Forest Algorithm, Autoencoders, Predictive Modeling, Feature Engineering

    Intermediate · Course · 1 - 3 Months

  • U

    University of Colorado Boulder

    Deep Learning for Natural Language Processing

    Skills you'll gain: Large Language Modeling, Recurrent Neural Networks (RNNs), Natural Language Processing, Prompt Engineering, Artificial Neural Networks, Transfer Learning, Deep Learning, PyTorch (Machine Learning Library), Embeddings, Model Evaluation, Network Architecture

    Build toward a degree

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
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    E

    EDUCBA

    Linear Regression & Supervised Learning in Python

    Skills you'll gain: Model Evaluation, Exploratory Data Analysis, Regression Analysis, Predictive Modeling, Supervised Learning, Scikit Learn (Machine Learning Library), Data Analysis, Correlation Analysis, Applied Machine Learning, Scatter Plots, Statistical Analysis, Data Validation, Data Preprocessing, NumPy, Pandas (Python Package), Box Plots, Histogram

    4.7
    Rating, 4.7 out of 5 stars
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    12 reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Preview
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    U

    Universitat Autònoma de Barcelona

    Emotions: a Philosophical Introduction

    Skills you'll gain: Empathy & Emotional Intelligence, Social Sciences, Culture, Psychology, Anthropology, Artificial Intelligence, Human Development, Human Computer Interaction, Robotics

    4.4
    Rating, 4.4 out of 5 stars
    ·
    523 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Exploring Generative AI for Learning Design

    Skills you'll gain: Generative AI, Prompt Engineering, Instructional Design, Design Strategies, Content Creation, Creative Design, Emerging Technologies, Professional Development

    4.6
    Rating, 4.6 out of 5 stars
    ·
    41 reviews

    Beginner · Course · 1 - 4 Weeks

  • C

    Coursera

    Transfer Learning for NLP with TensorFlow Hub

    Skills you'll gain: Transfer Learning, Tensorflow, Natural Language Processing, Keras (Neural Network Library), Embeddings, Deep Learning, Classification Algorithms, Model Evaluation, Machine Learning, Software Visualization

    4.8
    Rating, 4.8 out of 5 stars
    ·
    181 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Gemini for Google Cloud Learning Path

    Skills you'll gain: Google Gemini, Gemini, AI Security, Cloud Deployment, Customer Insights, Customer Analysis, Kubernetes, Generative AI, Customer Data Management, Big Data, Google Cloud Platform, Test Script Development, Software Development Life Cycle, Cloud Security, Development Testing, Virtual Networking, Application Deployment, DevOps, Application Development, Security Engineering

    4.4
    Rating, 4.4 out of 5 stars
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    28 reviews

    Intermediate · Specialization · 1 - 3 Months

  • Status: New
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    S

    Simplilearn

    Q Learning in Reinforcement Training Basics

    Skills you'll gain: Reinforcement Learning, Model Evaluation

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    P

    Packt

    Keras Deep Learning & Generative Adversarial Networks (GAN)

    Skills you'll gain: Generative Adversarial Networks (GANs), Exploratory Data Analysis, Model Deployment, Keras (Neural Network Library), NumPy, Transfer Learning, PyTorch (Machine Learning Library), Predictive Modeling, Matplotlib, Data Analysis, Artificial Intelligence, Data Preprocessing, Development Environment, Pandas (Python Package), Deep Learning, Classification And Regression Tree (CART), Artificial Neural Networks, Image Analysis, Machine Learning, Data Science

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of Colorado System

    Wilderness First Aid - Introduction

    Skills you'll gain: Patient Evaluation, First Aid, Patient Positioning, Patient Transport, Emergency Medical Services, Safety Assurance, Clinical Assessment, Medical History Documentation, Vital Signs, Neurology, Patient Safety

    4.8
    Rating, 4.8 out of 5 stars
    ·
    54 reviews

    Beginner · Course · 1 - 4 Weeks

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

  • Particle Physics: an Introduction: University of Geneva
  • Statistical Learning for Engineering Part 1: Northeastern University
  • Statistical Learning for Engineering Part 2: Northeastern University
  • Deep Learning for Natural Language Processing: University of Colorado Boulder
  • Linear Regression & Supervised Learning in Python: EDUCBA
  • Emotions: a Philosophical Introduction: Universitat Autònoma de Barcelona
  • Exploring Generative AI for Learning Design: University of Michigan
  • Transfer Learning for NLP with TensorFlow Hub: Coursera
  • Gemini for Google Cloud Learning Path: Google Cloud
  • Q Learning in Reinforcement Training Basics: Simplilearn

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