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  • Machine Learning Methods

Results for "machine learning methods"


  • N

    New York University

    Reinforcement Learning in Finance

    Skills you'll gain: Reinforcement Learning, Financial Trading, Financial Market, Derivatives, Markov Model, Machine Learning Methods, Financial Modeling, Securities Trading, Portfolio Management, Risk Management, Market Dynamics

    3.6
    Rating, 3.6 out of 5 stars
    ·
    134 reviews

    Advanced · Course · 1 - 4 Weeks

  • U

    University of Toronto

    State Estimation and Localization for Self-Driving Cars

    Skills you'll gain: Global Positioning Systems, Estimation, Robotics, Deep Learning, Machine Learning Methods, Computer Vision, Control Systems, Mathematical Modeling, Applied Mathematics, Linear Algebra

    4.7
    Rating, 4.7 out of 5 stars
    ·
    839 reviews

    Advanced · Course · 1 - 3 Months

  • S

    Simplilearn

    Deep Learning Frameworks and Neural Networks Simplified

    Skills you'll gain: Recurrent Neural Networks (RNNs), Model Deployment, Keras (Neural Network Library), Deep Learning, Tensorflow, Artificial Neural Networks, Convolutional Neural Networks, Application Frameworks, Artificial Intelligence, Machine Learning Methods, Image Analysis, Data Preprocessing

    Beginner · Course · 1 - 4 Weeks

  • P

    Packt

    Regression Analysis for Statistics & Machine Learning in R

    Skills you'll gain: Data Cleansing, R Programming, Data Preprocessing, Statistical Analysis, R (Software), Model Evaluation, Classification And Regression Tree (CART), Statistical Modeling, Logistic Regression, Machine Learning Methods, Random Forest Algorithm, Data Transformation, Predictive Modeling, Exploratory Data Analysis, Feature Engineering, Machine Learning, Dimensionality Reduction

    Intermediate · Course · 1 - 3 Months

  • U

    University of Colorado Boulder

    Computer Vision

    Skills you'll gain: Image Analysis, Computer Vision, Autoencoders, Convolutional Neural Networks, Vision Transformer (ViT), Generative Adversarial Networks (GANs), Recurrent Neural Networks (RNNs), Deep Learning, Multimodal Prompts, Artificial Intelligence and Machine Learning (AI/ML), Computer Graphics, Visualization (Computer Graphics), Machine Learning Methods, Model Deployment, Embeddings, Artificial Intelligence, Data Ethics, Data Processing, Applied Machine Learning, Linear Algebra

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
    ·
    74 reviews

    Intermediate · Specialization · 1 - 3 Months

  • A

    Alberta Machine Intelligence Institute

    실용 머신 러닝 소개

    Skills you'll gain: Data Ethics, Machine Learning, MLOps (Machine Learning Operations), Applied Machine Learning, Data Preprocessing, Training Records Management, Machine Learning Methods, Data Collection, AI Enablement, Business Process, Business Requirements

    Intermediate · Course · 1 - 4 Weeks

  • I

    IBM

    AI Workflow: Feature Engineering and Bias Detection

    Skills you'll gain: Feature Engineering, Data Ethics, Unsupervised Learning, Dimensionality Reduction, Responsible AI, Text Mining, Data Preprocessing, Data Transformation, MLOps (Machine Learning Operations), Anomaly Detection, Exploratory Data Analysis, Machine Learning Methods, Machine Learning, Model Evaluation, Natural Language Processing, Data Science, Quality Assurance, Data Pipelines, Data Visualization, Python Programming

    4.4
    Rating, 4.4 out of 5 stars
    ·
    78 reviews

    Advanced · Course · 1 - 4 Weeks

  • C

    Coursera

    Essential Causal Inference Techniques for Data Science

    Skills you'll gain: Regression Analysis, Data Science, Machine Learning Methods, R Programming, Statistical Inference, Applied Machine Learning, Machine Learning, Statistical Methods, Advanced Analytics, Data Analysis, Predictive Modeling

    4.5
    Rating, 4.5 out of 5 stars
    ·
    39 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • U

    University of Colorado Boulder

    Introduction to Computer Vision

    Skills you'll gain: Image Analysis, Computer Vision, Deep Learning, Convolutional Neural Networks, Computer Graphics, Machine Learning Methods, Artificial Intelligence, Data Ethics, Microsoft Excel, Generative AI, Linear Algebra, Feature Engineering, Digital Signal Processing

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
    ·
    32 reviews

    Beginner · Course · 1 - 4 Weeks

  • M

    Macquarie University

    Cyber Security: Essentials for Forensics

    Skills you'll gain: Mobile Security, Digital Forensics, Criminal Investigation and Forensics, Investigation, Cyber Security Strategy, Cyber Threat Intelligence, Threat Detection, Cyber Attacks, Intrusion Detection and Prevention, Cybersecurity, Cyber Security Policies, Mobile Development, Artificial Intelligence and Machine Learning (AI/ML), Cyber Governance, Data Security, Threat Modeling, Computer Security, Application Security, Machine Learning Methods, Digital Assets

    4.5
    Rating, 4.5 out of 5 stars
    ·
    34 reviews

    Intermediate · Specialization · 3 - 6 Months

  • E

    Edureka

    Mastering NLP: Tokenization, Sentiment Analysis & Neural MT

    Skills you'll gain: Natural Language Processing, Large Language Modeling, Model Evaluation, Recurrent Neural Networks (RNNs), Classification Algorithms, Data Ethics, Responsible AI, Text Mining, Transfer Learning, Machine Learning Methods, PyTorch (Machine Learning Library), Artificial Neural Networks, Data Preprocessing, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Data Processing, Embeddings, Machine Learning, Data Analysis, Data Cleansing

    3.3
    Rating, 3.3 out of 5 stars
    ·
    7 reviews

    Intermediate · Specialization · 3 - 6 Months

  • U

    University of Michigan

    AI for Autonomous Vehicles and Robotics

    Skills you'll gain: Machine Learning Methods, Machine Learning, Machine Learning Algorithms, Artificial Intelligence and Machine Learning (AI/ML), Transfer Learning, Control Systems, Robotics, Deep Learning, Computer Vision, Artificial Intelligence, Generative AI, Reinforcement Learning, Algorithms

    4.5
    Rating, 4.5 out of 5 stars
    ·
    57 reviews

    Intermediate · Course · 1 - 4 Weeks

1…91011…19

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

  • Reinforcement Learning in Finance: New York University
  • State Estimation and Localization for Self-Driving Cars: University of Toronto
  • Deep Learning Frameworks and Neural Networks Simplified: Simplilearn
  • Regression Analysis for Statistics & Machine Learning in R: Packt
  • Computer Vision: University of Colorado Boulder
  • 실용 머신 러닝 소개: Alberta Machine Intelligence Institute
  • AI Workflow: Feature Engineering and Bias Detection: IBM
  • Essential Causal Inference Techniques for Data Science: Coursera
  • Introduction to Computer Vision: University of Colorado Boulder
  • Cyber Security: Essentials for Forensics: Macquarie University

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