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  • Applied Machine Learning

Applied Machine Learning Courses

Applied Machine Learning courses can help you learn data preprocessing, model selection, feature engineering, and evaluation metrics. You can build skills in implementing algorithms, optimizing performance, and interpreting results in practical contexts. Many courses introduce tools like Python, TensorFlow, and scikit-learn, that support developing machine learning models and applying AI techniques to solve real-world problems.


Popular Applied Machine Learning Courses and Certifications


  • D

    DeepLearning.AI

    Intro to Federated Learning

    Skills you'll gain: Federated Learning, Fine-tuning, AI Security, Large Language Modeling, PyTorch (Machine Learning Library), Model Optimization, Information Privacy, LLM Application, Model Training, Distributed Computing, Machine Learning

    ★ 4.5 (14) · Beginner · Project · Less Than 2 Hours

  • D

    Duke University

    Managing Machine Learning Projects

    Skills you'll gain: MLOps (Machine Learning Operations), Data Management, Model Training, Data Quality, Model Deployment, Data Preprocessing, Application Lifecycle Management, Technical Management, Applied Machine Learning, Project Management, Machine Learning, Data Cleansing, Model Evaluation, Data Pipelines, Technical Design, Software Development Methodologies, Technology Solutions, Systems Design, Data Collection, Data Science

    ★ 4.8 (380) · Beginner · Course · 1 - 3 Months

  • I

    IBM

    Supervised Machine Learning: Classification

    Skills you'll gain: Classification Algorithms, Supervised Learning, Model Evaluation, Data Preprocessing, Logistic Regression, Machine Learning Algorithms, Decision Tree Learning, Applied Machine Learning, Model Training, Statistical Machine Learning, Predictive Modeling, Business Logic, Machine Learning Methods, Scikit Learn (Machine Learning Library), Data Cleansing, Machine Learning, Regression Analysis, Random Forest Algorithm, Model Optimization, Sampling (Statistics)

    ★ 4.8 (462) · Intermediate · Course · 1 - 3 Months

  • U

    University of Colorado Boulder

    Introduction to Machine Learning: Supervised Learning

    Skills you'll gain: Classification And Regression Tree (CART), Applied Machine Learning, Statistical Machine Learning, Machine Learning Methods, Model Training, Model Optimization

    ★ 4.5 (27) · Intermediate · Course · 1 - 3 Months

  • C

    Columbia University

    Decision Making and Reinforcement Learning

    Skills you'll gain: Reinforcement Learning, Machine Learning Methods, Machine Learning Algorithms, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Algorithms, Decision Intelligence, Markov Model, Deep Learning, Applied Machine Learning, Statistical Methods, Sampling (Statistics)

    ★ 4.4 (24) · Intermediate · Course · 1 - 3 Months

  • B

    Board Infinity

    Machine Learning Operations (MLOps)

    Skills you'll gain: Model Deployment, AWS SageMaker, MLOps (Machine Learning Operations), Serverless Computing, Google Cloud Platform, Cloud Deployment, AI Integrations, Docker (Software), Cloud Platforms, Cloud Computing, Containerization, Application Deployment, Amazon Web Services, Restful API, DevOps, CI/CD, Microsoft Azure, Devops Tools, Continuous Integration, API Design

    Beginner · Specialization · 1 - 3 Months

  • P

    Politecnico di Milano

    Machine Learning: an overview

    Skills you'll gain: Machine Learning Methods, Unsupervised Learning, Supervised Learning, Machine Learning Algorithms, Machine Learning, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Reinforcement Learning, Dimensionality Reduction, Model Evaluation, Classification Algorithms, Algorithms

    ★ 4.6 (214) · Beginner · Course · 1 - 4 Weeks

  • S

    SAS

    SAS Machine Learning Engineer

    Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), Data Preprocessing, Classification And Regression Tree (CART), Exploratory Data Analysis, Logistic Regression, Statistical Machine Learning, Model Evaluation, Model Training, Supervised Learning, Decision Tree Learning, Probability & Statistics, Data Processing, Machine Learning Software, Statistical Software, Machine Learning Methods, Process Modeling, Machine Learning, Correlation Analysis, Applied Machine Learning

    ★ 4.7 (105) · Advanced · Professional Certificate · 3 - 6 Months

  • D

    DeepLearning.AI

    PyTorch for Deep Learning

    Skills you'll gain: PyTorch (Machine Learning Library), Model Deployment, Hugging Face, Model Optimization, Fine-tuning, Convolutional Neural Networks, Transfer Learning, Data Quality, Generative AI, Data Manipulation, Deep Learning, Generative Model Architectures, Model Training, Image Analysis, MLOps (Machine Learning Operations), Large Language Modeling, Data Pipelines, Artificial Neural Networks, Computer Vision, Natural Language Processing

    ★ 4.8 (101) · Intermediate · Professional Certificate · 1 - 3 Months

    Category: Hot New Release
    Hot New Release
  • U

    University of Washington

    Machine Learning: Clustering & Retrieval

    Skills you'll gain: Unsupervised Learning, Bayesian Statistics, Applied Machine Learning, Data Mining, Statistical Machine Learning, Statistical Inference, Text Mining, Machine Learning Methods, Statistical Modeling, Machine Learning Algorithms, Unstructured Data, Machine Learning, Sampling (Statistics), Scalability, Distributed Computing, Probability Distribution, Algorithms

    ★ 4.7 (2.4K) · Mixed · Course · 1 - 3 Months

  • D

    Duke University

    Explainable Machine Learning (XAI)

    Skills you'll gain: Responsible AI, Large Language Modeling, Generative AI, Data Ethics, Artificial Intelligence, Generative Model Architectures, Model Evaluation, Python Programming, Applied Machine Learning, Image Analysis, Machine Learning Methods, Machine Learning, Scientific Visualization, Deep Learning, Artificial Neural Networks

    ★ 4.7 (27) · Intermediate · Course · 1 - 4 Weeks

  • U

    University of Colorado Boulder

    Introduction to Machine Learning: Unsupervised Learning

    Skills you'll gain: Machine Learning Methods, Feature Engineering, Model Evaluation, Linear Algebra

    ★ 5 (8) · Intermediate · Course · 1 - 3 Months

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

  • Intro to Federated Learning: DeepLearning.AI
  • Managing Machine Learning Projects: Duke University
  • Supervised Machine Learning: Classification: IBM
  • Introduction to Machine Learning: Supervised Learning: University of Colorado Boulder
  • Decision Making and Reinforcement Learning: Columbia University
  • Machine Learning Operations (MLOps): Board Infinity
  • Machine Learning: an overview: Politecnico di Milano
  • SAS Machine Learning Engineer: SAS
  • PyTorch for Deep Learning: DeepLearning.AI
  • Machine Learning: Clustering & Retrieval: University of Washington

Skills you can learn in Machine Learning

Python Programming (33)
Tensorflow (32)
Deep Learning (30)
Artificial Neural Network (24)
Big Data (18)
Statistical Classification (17)
Reinforcement Learning (13)
Algebra (10)
Bayesian (10)
Linear Algebra (10)
Linear Regression (9)
Numpy (9)

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