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  • Supervised Learning

Supervised Learning Courses

Supervised learning courses can help you learn regression analysis, classification techniques, and model evaluation methods. You can build skills in feature selection, hyperparameter tuning, and understanding bias-variance tradeoff. Many courses introduce tools like Python libraries such as scikit-learn and TensorFlow, that support implementing algorithms and analyzing data.

Popular Supervised Learning Courses and Certifications


  • Status: New
    New
    P

    Packt

    Machine Learning Product Management - Strategy to Deployment

    Skills you'll gain: Model Deployment, Data Preprocessing, MLOps (Machine Learning Operations), Model Evaluation, AI Product Strategy, Product Management, Model Training, Product Lifecycle Management, Machine Learning Algorithms, Model Optimization, Applied Machine Learning, Decision Intelligence, Data Processing, Technical Product Management, Feature Engineering, Project Management, Machine Learning Methods, Machine Learning, Technical Management, Data Transformation

    Intermediate · Course · 1 - 3 Months

  • Status: Free
    Free
    A

    Amazon Web Services

    Introduction to Machine Learning: Art of the Possible

    Skills you'll gain: Business Leadership, Strategic Leadership, Strategic Decision-Making, Business Transformation, Applied Machine Learning, Business Strategy, Business Planning, AI Enablement, Leadership and Management, Machine Learning, Process Development, Decision Making, Technology Roadmaps

    4.4
    Rating, 4.4 out of 5 stars
    ·
    27 reviews

    Beginner · Course · 1 - 4 Weeks

  • P

    Packt

    Matrix Calculus for Data Science & Machine Learning

    Skills you'll gain: Model Optimization, Calculus, Applied Mathematics, NumPy, Mathematical Software, Numerical Analysis, Machine Learning Algorithms, Tensorflow, Python Programming, Derivatives, Development Environment

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    W

    Whizlabs

    Exam Prep MLA-C01: AWS Machine Learning Engineer Associate

    Skills you'll gain: MLOps (Machine Learning Operations), Feature Engineering, Model Optimization, AWS Kinesis, Fraud detection, Amazon Web Services, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Data Cleansing, Data Processing, Data Wrangling, Data Integrity, Machine Learning, Machine Learning Algorithms, Data Modeling, Supervised Learning, Data Mining, Random Forest Algorithm, Data Management, Unsupervised Learning

    3.9
    Rating, 3.9 out of 5 stars
    ·
    12 reviews

    Intermediate · Specialization · 3 - 6 Months

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

    Coursera

    Optimize Deep Learning Models for Peak AI

    Skills you'll gain: Fine-tuning, Model Optimization, Model Training, Model Evaluation, Deep Learning, Performance Tuning, Performance Improvement, Artificial Intelligence and Machine Learning (AI/ML), Performance Analysis

    Intermediate · Course · 1 - 4 Weeks

  • 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
    Free
    C

    Coursera

    Enhance Student Learning with Interactive Lessons in Nearpod

    Skills you'll gain: Learning Management Systems, Education Software and Technology, Digital pedagogy, Real Time Data, Google Workspace

    4.8
    Rating, 4.8 out of 5 stars
    ·
    48 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    C

    Coursera

    Fine-tune Multimodal Models with Transfer Learning

    Skills you'll gain: Model Optimization, Fine-tuning, Multimodal Prompts, Generative Model Architectures, PyTorch (Machine Learning Library), Model Training, Data Processing, Tensorflow, Knowledge Transfer, Keras (Neural Network Library), Deep Learning, Artificial Neural Networks

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    E

    EDUCBA

    Analyze and Predict Shipping Time Using Machine Learning

    Skills you'll gain: Feature Engineering, Demand Planning, Data Preprocessing, Model Evaluation, Customer Demand Planning, Inventory and Warehousing, Transportation, Supply Chain, and Logistics, Inventory Control, Logistics, Logistics Management, Data Cleansing, Forecasting, Exploratory Data Analysis, Data Processing, Model Training, Supply Chain, Data Quality, Predictive Modeling, Applied Machine Learning, Shipping and Receiving

    Beginner · Course · 1 - 4 Weeks

  • G

    Google Cloud

    Utiliser BigQuery Machine Learning pour l'inférence

    Skills you'll gain: Analytics, Data Analysis, Google Cloud Platform, Applied Machine Learning, Model Training, MLOps (Machine Learning Operations), Machine Learning Methods, Model Deployment

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    P

    Packt

    Fundamentals of AI, Machine Learning, and Python Programming

    Skills you'll gain: Artificial Intelligence and Machine Learning (AI/ML), NumPy, Applied Machine Learning, PyTorch (Machine Learning Library), Predictive Modeling, Matplotlib, Artificial Intelligence, Development Environment, Pandas (Python Package), Deep Learning, Python Programming, Artificial Neural Networks, Data Manipulation, Programming Principles, Tensorflow, Machine Learning Methods, Regression Analysis, Machine Learning Software, Model Training, Computer Programming

    Beginner · Course · 3 - 6 Months

  • Status: Preview
    Preview
    N

    Northeastern University

    Machine Learning with Small Data Part 2

    Skills you'll gain: Generative AI, Transfer Learning, Generative Adversarial Networks (GANs), Generative Model Architectures, Applied Machine Learning, Small Data, Autoencoders, Model Training, Model Optimization, Deep Learning, Machine Learning Methods, Computer Graphics, Machine Learning, Image Analysis, Machine Learning Algorithms, Simulation and Simulation Software, Computer Vision, Simulations, 3D Assets, 3D Modeling

    Mixed · Course · 1 - 3 Months

1…464748…834

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

  • Machine Learning Product Management - Strategy to Deployment: Packt
  • Introduction to Machine Learning: Art of the Possible: Amazon Web Services
  • Matrix Calculus for Data Science & Machine Learning: Packt
  • Exam Prep MLA-C01: AWS Machine Learning Engineer Associate: Whizlabs
  • Optimize Deep Learning Models for Peak AI: Coursera
  • AWS Machine Learning Engineer Associate Exam Prep: Neal Davis
  • Enhance Student Learning with Interactive Lessons in Nearpod: Coursera
  • Fine-tune Multimodal Models with Transfer Learning: Coursera
  • Analyze and Predict Shipping Time Using Machine Learning: EDUCBA
  • Utiliser BigQuery Machine Learning pour l'inférence: Google Cloud

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