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  • Introduction To Machine Learning

Results for "introduction to machine learning"


  • 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

  • C

    Coursera

    Creating Interactive Learning Videos with Edpuzzle

    Skills you'll gain: Education Software and Technology, Digital pedagogy

    4.7
    Rating, 4.7 out of 5 stars
    ·
    184 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • 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
    ·
    43 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Learning Experience Design: Development and Evaluation

    Skills you'll gain: Web Content Accessibility Guidelines, Educational Materials, Multimedia, Instructional Design, Education Software and Technology, Professional Development, Content Creation, Design Strategies, Quality Assurance, Constructive Feedback, Communication

    4.8
    Rating, 4.8 out of 5 stars
    ·
    33 reviews

    Beginner · Course · 1 - 4 Weeks

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

    IBM

    IBM Deep Learning with PyTorch, Keras and Tensorflow

    Skills you'll gain: Transfer Learning, PyTorch (Machine Learning Library), Model Evaluation, Vision Transformer (ViT), Keras (Neural Network Library), Deep Learning, Reinforcement Learning, Convolutional Neural Networks, Unsupervised Learning, Autoencoders, Artificial Neural Networks, Recurrent Neural Networks (RNNs), Generative Adversarial Networks (GANs), Logistic Regression, Tensorflow, Artificial Intelligence and Machine Learning (AI/ML), Image Analysis, Data Preprocessing, Model Deployment, Computer Vision

    4.5
    Rating, 4.5 out of 5 stars
    ·
    4.1K reviews

    Intermediate · Professional Certificate · 3 - 6 Months

  • Status: Preview
    Preview
    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

    AI for Lawyers: Learning and Leading

    Skills you'll gain: Critical Thinking, Legal Technology, AI Enablement, Artificial Intelligence, Communication, Lifelong Learning, Professional Development, Constructive Feedback, Leadership, Adaptability, Creativity, Decision Making, Generative AI

    4.3
    Rating, 4.3 out of 5 stars
    ·
    26 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    R

    Rutgers the State University of New Jersey

    Introduction and Course Outline

    Skills you'll gain: Purchasing, Procurement, Strategic Sourcing, Target Audience, Supply Chain Management

    4.6
    Rating, 4.6 out of 5 stars
    ·
    47 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Preview
    Preview
    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

  • C

    Coursera

    Launch an auto-scaling AWS EC2 virtual machine

    Skills you'll gain: Amazon Elastic Compute Cloud, Amazon Web Services, Virtual Machines, Infrastructure As A Service (IaaS), Cloud Infrastructure, Scalability

    4.6
    Rating, 4.6 out of 5 stars
    ·
    57 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    P

    Packt

    Deep Learning - Artificial Neural Networks with TensorFlow

    Skills you'll gain: Tensorflow, Artificial Neural Networks, Deep Learning, Keras (Neural Network Library), Recurrent Neural Networks (RNNs), Classification Algorithms, Image Analysis, Convolutional Neural Networks, Supervised Learning, Machine Learning Algorithms, Machine Learning, Model Evaluation, NumPy, Regression Analysis

    Intermediate · Course · 1 - 3 Months

Searches related to introduction to machine learning

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1…107108109…834

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

  • Transfer Learning for NLP with TensorFlow Hub: Coursera
  • Creating Interactive Learning Videos with Edpuzzle: Coursera
  • Exploring Generative AI for Learning Design: University of Michigan
  • Learning Experience Design: Development and Evaluation: University of Michigan
  • IBM Deep Learning with PyTorch, Keras and Tensorflow: IBM
  • Emotions: a Philosophical Introduction: Universitat Autònoma de Barcelona
  • AI for Lawyers: Learning and Leading: University of Michigan
  • Introduction and Course Outline: Rutgers the State University of New Jersey
  • Q Learning in Reinforcement Training Basics: Simplilearn
  • Keras Deep Learning & Generative Adversarial Networks (GAN): Packt

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