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  • Quantum Machine Learning

Results for "quantum machine learning"


  • P

    Packt

    Matrix Calculus for Data Science & Machine Learning

    Skills you'll gain: Model Optimization, Calculus, Machine Learning Methods, NumPy, Machine Learning Algorithms, Applied Machine Learning, Tensorflow, Python Programming, Derivatives, Development Environment

    Intermediate · Course · 1 - 3 Months

  • P

    Packt

    Algorithm Alchemy: Unlocking the Secrets of Machine Learning

    Skills you'll gain: Machine Learning Methods, Autoencoders, Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Scientific Visualization, Classification Algorithms, Model Training, Model Evaluation

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D
    S

    Multiple educators

    Machine Learning

    Skills you'll gain: Unsupervised Learning, Supervised Learning, Machine Learning Methods, Model Training, Applied Machine Learning, Machine Learning Algorithms, Transfer Learning, Machine Learning, Jupyter, Decision Tree Learning, Model Evaluation, Responsible AI, Tensorflow, Data Ethics, Scikit Learn (Machine Learning Library), NumPy, Predictive Modeling, Deep Learning, Artificial Intelligence, Classification Algorithms

    4.9
    Rating, 4.9 out of 5 stars
    ·
    39K reviews

    Beginner · Specialization · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    C

    Coursera

    Machine Learning Made Easy for Software Engineers

    Skills you'll gain: Model Evaluation, Model Deployment, Model Training, Model Optimization, Data Preprocessing, MLOps (Machine Learning Operations), Data Cleansing, Microservices, Data Pipelines, Feature Engineering, Data Quality, Containerization, Application Deployment, Service Level, Extract, Transform, Load, Data Transformation, System Monitoring, Machine Learning Methods, Performance Tuning, Machine Learning Algorithms

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    IBM Introduction to Machine Learning

    Skills you'll gain: Unsupervised Learning, Exploratory Data Analysis, Feature Engineering, Dimensionality Reduction, Supervised Learning, Classification Algorithms, Regression Analysis, Scikit Learn (Machine Learning Library), Machine Learning Algorithms, Statistical Methods, Data Preprocessing, Applied Machine Learning, Model Evaluation, Statistical Inference, Predictive Modeling, Machine Learning Methods, Statistical Hypothesis Testing, Model Training, Data Processing, Machine Learning

    4.6
    Rating, 4.6 out of 5 stars
    ·
    3.4K reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    I

    Imperial College London

    Mathematics for Machine Learning

    Skills you'll gain: Dimensionality Reduction, Linear Algebra, Regression Analysis, NumPy, Calculus, Unsupervised Learning, Applied Mathematics, Statistical Methods, Descriptive Statistics, Model Optimization, Mathematical Software, Jupyter, Statistics, Numerical Analysis, Applied Machine Learning, Geometry, Artificial Neural Networks, Data Science, Data Manipulation, Data Transformation

    4.6
    Rating, 4.6 out of 5 stars
    ·
    15K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Mathematics for Machine Learning and Data Science

    Skills you'll gain: Descriptive Statistics, Bayesian Statistics, Statistical Hypothesis Testing, Probability & Statistics, Sampling (Statistics), Statistical Methods, Probability Distribution, Linear Algebra, Statistical Inference, Model Optimization, Machine Learning Methods, Statistics, Applied Mathematics, Probability, Calculus, Dimensionality Reduction, Applied Machine Learning, Mathematical Software, Data Transformation, Machine Learning

    4.6
    Rating, 4.6 out of 5 stars
    ·
    3.2K reviews

    Intermediate · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    Status: AI skills
    AI skills
    U

    University of Pennsylvania

    AI and Machine Learning Essentials with Python

    Skills you'll gain: Statistical Machine Learning, Data Preprocessing, Model Evaluation, PyTorch (Machine Learning Library), Statistical Methods, Probability, Probability & Statistics, Sampling (Statistics), Logistic Regression, Deep Learning, Probability Distribution, Statistical Modeling, Python Programming, Supervised Learning, Machine Learning, Data Processing, Agentic systems, Artificial Intelligence, Algorithms, AI literacy

    4.5
    Rating, 4.5 out of 5 stars
    ·
    47 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: New
    New
    Status: Preview
    Preview
    N

    Neal Davis

    AWS Machine Learning Engineer Associate Exam Prep

    Skills you'll gain: Model Deployment, AWS SageMaker, Amazon Bedrock, MLOps (Machine Learning Operations), Amazon Web Services, Cloud Deployment, Data Preprocessing, Model Evaluation, Amazon S3, Generative AI, Data Storage, Generative Model Architectures, Data Storage Technologies, Model Training, Feature Engineering, Exploratory Data Analysis, Applied Machine Learning, Machine Learning, Amazon Redshift, Cloud Engineering

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Machine Learning on Google Cloud

    Skills you'll gain: Feature Engineering, Model Optimization, Generative AI, Model Deployment, Tensorflow, Generative AI Agents, Google Gemini, Model Training, Keras (Neural Network Library), Machine Learning, Generative Model Architectures, Data Preprocessing, Machine Learning Software, Machine Learning Methods, MLOps (Machine Learning Operations), Google Cloud Platform, Model Evaluation, Data Cleansing, Data Quality, Cloud Computing

    4.4
    Rating, 4.4 out of 5 stars
    ·
    3.8K reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    B

    Board Infinity

    Java in Machine Learning

    Skills you'll gain: Responsible AI, MLOps (Machine Learning Operations), Data Preprocessing, Model Deployment, Data Ethics, Apache Mahout, AI Security, Applied Machine Learning, Classification Algorithms, CI/CD, Java, Continuous Deployment, Java Programming, Machine Learning Software, Jenkins, Deep Learning, Machine Learning, Spring Boot, Natural Language Processing, Reinforcement Learning

    Intermediate · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Deep Learning with PyTorch

    Skills you'll gain: PyTorch (Machine Learning Library), Deep Learning, Convolutional Neural Networks, Model Training, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Model Optimization, Image Analysis, Model Evaluation, Classification Algorithms

    4.5
    Rating, 4.5 out of 5 stars
    ·
    95 reviews

    Intermediate · Course · 1 - 3 Months

1234…648

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

  • Matrix Calculus for Data Science & Machine Learning: Packt
  • Algorithm Alchemy: Unlocking the Secrets of Machine Learning: Packt
  • Machine Learning: DeepLearning.AI
  • Machine Learning Made Easy for Software Engineers: Coursera
  • IBM Introduction to Machine Learning: IBM
  • Mathematics for Machine Learning: Imperial College London
  • Mathematics for Machine Learning and Data Science: DeepLearning.AI
  • AI and Machine Learning Essentials with Python: University of Pennsylvania
  • AWS Machine Learning Engineer Associate Exam Prep: Neal Davis
  • Machine Learning on Google Cloud: Google Cloud

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