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Results for "multi-task learning"


  • D

    DeepLearning.AI

    Practical Multi AI Agents and Advanced Use Cases with crewAI

    Skills you'll gain: CrewAI, AI Workflows, Agentic Workflows, AI Orchestration, LLM Application, Large Language Modeling, Generative AI Agents, Tool Calling, Agentic systems, Model Deployment, Automation, Application Deployment, Model Evaluation

    4.9
    Rating, 4.9 out of 5 stars
    ·
    23 reviews

    Beginner · Project · Less Than 2 Hours

  • A

    American Psychological Association

    Better Learning

    Skills you'll gain: Learning Strategies, Human Learning, Mental Concentration, Productivity, Psychology, Time Management, Critical Thinking, Self-Awareness, Self-Discipline

    4.9
    Rating, 4.9 out of 5 stars
    ·
    17 reviews

    Beginner · Course · 1 - 3 Months

  • P

    Packt

    Machine Learning Foundations

    Skills you'll gain: Model Evaluation, Unsupervised Learning, Dimensionality Reduction, Data Preprocessing, Python Programming, Recurrent Neural Networks (RNNs), Reinforcement Learning

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Deep Learning Engineering

    Skills you'll gain: Model Deployment, PyTorch (Machine Learning Library), Transfer Learning, Natural Language Processing, Debugging, Containerization, Kubernetes, Docker (Software), MLOps (Machine Learning Operations), Distributed Computing, Performance Tuning, Applied Machine Learning, Deep Learning, Vision Transformer (ViT), Tensorflow, Cloud Computing, Model Evaluation, Artificial Neural Networks, Data Pipelines, Computer Vision

    Advanced · Specialization · 1 - 3 Months

  • U

    University of Michigan

    Learning Languages with AI

    Skills you'll gain: Prompt Engineering, Generative AI, AI Personalization, Responsible AI, LLM Application, Language Competency, Language Learning, Communication, Writing, Cultural Diversity

    4
    Rating, 4 out of 5 stars
    ·
    9 reviews

    Beginner · Course · 1 - 3 Months

  • U

    University of Colorado Boulder

    Introduction to Machine Learning: Unsupervised Learning

    Skills you'll gain: Feature Engineering, Statistical Methods, Model Evaluation, Algorithms

    Intermediate · Course · 1 - 3 Months

  • I

    Illinois Tech

    Statistical Learning

    Skills you'll gain: Statistical Analysis, Data Analysis, Statistical Programming, Statistical Machine Learning, Statistical Modeling, Model Evaluation, Regression Analysis, Bayesian Statistics, Supervised Learning, Statistical Inference, Machine Learning, Unsupervised Learning, Predictive Modeling, Feature Engineering, Logistic Regression, Decision Tree Learning, Classification Algorithms

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
    ·
    9 reviews

    Intermediate · Course · 1 - 3 Months

  • U

    University of Washington

    Machine Learning: Regression

    Skills you'll gain: Regression Analysis, Model Evaluation, Predictive Modeling, Supervised Learning, Statistical Modeling, Feature Engineering, Machine Learning, Data Preprocessing, Python Programming, Algorithms

    4.8
    Rating, 4.8 out of 5 stars
    ·
    5.6K reviews

    Mixed · Course · 1 - 3 Months

  • P

    Packt

    Advanced Machine Learning and Deep Learning

    Skills you'll gain: Autoencoders, Shiny (R Package), Deep Learning, Recurrent Neural Networks (RNNs), Transfer Learning, Convolutional Neural Networks, Image Analysis, PyTorch (Machine Learning Library), Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Tensorflow, Predictive Modeling, Dimensionality Reduction, Classification Algorithms, Time Series Analysis and Forecasting, Model Evaluation

    Advanced · Course · 1 - 3 Months

  • U

    University of Washington

    Machine Learning: Classification

    Skills you'll gain: Classification Algorithms, Applied Machine Learning, Logistic Regression, Supervised Learning, Predictive Modeling, Decision Tree Learning, Data Preprocessing, Model Evaluation, Text Mining, Machine Learning Algorithms, Scalability, Machine Learning, Natural Language Processing, Big Data, Probability & Statistics, Algorithms

    4.7
    Rating, 4.7 out of 5 stars
    ·
    3.7K reviews

    Mixed · Course · 1 - 3 Months

  • I

    IBM

    Machine Learning Capstone

    Skills you'll gain: Exploratory Data Analysis, Unsupervised Learning, Supervised Learning, Data Analysis, Applied Machine Learning, Statistical Analysis, Data Mining, Predictive Modeling, Machine Learning, Technical Communication, Scikit Learn (Machine Learning Library), Regression Analysis, Artificial Neural Networks, Deep Learning, Python Programming

    4.7
    Rating, 4.7 out of 5 stars
    ·
    196 reviews

    Advanced · Course · 1 - 3 Months

  • I

    IBM

    Unsupervised Machine Learning

    Skills you'll gain: Unsupervised Learning, Dimensionality Reduction, Scikit Learn (Machine Learning Library), Machine Learning Algorithms, Data Preprocessing, Feature Engineering, Machine Learning, Text Mining, Data Science, Big Data, Data Analysis, Algorithms

    4.7
    Rating, 4.7 out of 5 stars
    ·
    359 reviews

    Intermediate · Course · 1 - 3 Months

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In summary, here are 10 of our most popular multi-task learning courses

  • Practical Multi AI Agents and Advanced Use Cases with crewAI: DeepLearning.AI
  • Better Learning: American Psychological Association
  • Machine Learning Foundations: Packt
  • Deep Learning Engineering: Coursera
  • Learning Languages with AI: University of Michigan
  • Introduction to Machine Learning: Unsupervised Learning: University of Colorado Boulder
  • Statistical Learning: Illinois Tech
  • Machine Learning: Regression: University of Washington
  • Advanced Machine Learning and Deep Learning: Packt
  • Machine Learning: Classification: University of Washington

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