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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


  • C

    Case Western Reserve University

    Introduction to International Criminal Law

    Skills you'll gain: Criminal Investigation and Forensics, Legal Proceedings, Legal Hearings, Litigation and Civil Justice, International Relations, Legal Strategy, Law, Regulation, and Compliance, Public Safety and National Security, Ethical Standards And Conduct, Case Law, Interactive Learning, Case Studies

    4.8
    Rating, 4.8 out of 5 stars
    ·
    4K reviews

    Mixed · Course · 1 - 3 Months

  • C

    Coursera

    Calibrate and Serve Confident AI Predictions

    Intermediate · Course · 1 - 4 Weeks

  • U

    University of Illinois Urbana-Champaign

    Introduction to Artificial Intelligence

    Skills you'll gain: Generative AI, Generative Adversarial Networks (GANs), Applied Machine Learning, Deep Learning, Responsible AI, Artificial Intelligence, Data Ethics, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Artificial Neural Networks, Convolutional Neural Networks, Regression Analysis, Law, Regulation, and Compliance, Classification Algorithms, Business Ethics, Governance

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
    ·
    61 reviews

    Beginner · Course · 1 - 4 Weeks

  • S

    Snowflake

    Intro to Snowflake for Devs, Data Scientists, Data Engineers

    Skills you'll gain: Data Engineering, Data Manipulation, Data Warehousing, Cloud Development, SQL, Data Pipelines, Extract, Transform, Load, Application Development, Artificial Intelligence and Machine Learning (AI/ML), Role-Based Access Control (RBAC), Stored Procedure, Data Storage, Database Management, Generative AI, Data Science, Data Import/Export, Machine Learning

    4.8
    Rating, 4.8 out of 5 stars
    ·
    217 reviews

    Beginner · Course · 1 - 4 Weeks

  • U

    University of Huddersfield

    Differential Calculus Fundamentals

    Skills you'll gain: Applied Mathematics, Analytical Skills, Calculus, Engineering Calculations, Advanced Mathematics, Data-Driven Decision-Making, Derivatives

    Intermediate · Course · 1 - 4 Weeks

  • U

    University of Minnesota

    Software Development Lifecycle

    Skills you'll gain: User Story, Agile Software Development, Software Design Patterns, Design Thinking, Software Development Methodologies, Software Design, Agile Methodology, Agile Project Management, Process Mapping, Software Engineering, Kanban Principles, Software Development Life Cycle, Software Quality Assurance, Program Development, Application Security, Scrum (Software Development), Object Oriented Design, Software Architecture, User Experience Design, Software Quality (SQA/SQC)

    4.7
    Rating, 4.7 out of 5 stars
    ·
    9.8K reviews

    Intermediate · Specialization · 3 - 6 Months

  • K

    KodeKloud

    Data Engineering Essentials

    Skills you'll gain: MLOps (Machine Learning Operations), Apache Kafka, Apache Airflow, Apache Spark, Extract, Transform, Load, Data Lakes, Data Pipelines, Distributed Computing, Real Time Data, DevOps, Big Data, Data Preprocessing, Feature Engineering, Model Deployment, CI/CD, Pandas (Python Package), Data Transformation

    Beginner · Course · 1 - 4 Weeks

  • E

    EDUCBA

    Analyze and Manage Hallucinations in Generative AI

    Skills you'll gain: Generative AI, LLM Application, AI Enablement, Prompt Engineering, Responsible AI, Model Evaluation, Data Quality, Verification And Validation, Natural Language Processing

    Beginner · Course · 1 - 4 Weeks

  • S

    Stanford University

    Probabilistic Graphical Models 2: Inference

    Skills you'll gain: Bayesian Network, Machine Learning Methods, Statistical Inference, Markov Model, Graph Theory, Sampling (Statistics), Applied Machine Learning, Statistical Methods, Probability & Statistics, Algorithms, Probability Distribution, Machine Learning Algorithms, Computational Thinking

    4.6
    Rating, 4.6 out of 5 stars
    ·
    489 reviews

    Advanced · Course · 1 - 3 Months

  • G

    Google

    Use AI as a Creative or Expert Partner

    Skills you'll gain: Prompt Engineering, Multimodal Prompts, ChatGPT, AI Enablement, Generative AI Agents, Ideation, Scenario Testing, Solution Design, Software Versioning

    4.8
    Rating, 4.8 out of 5 stars
    ·
    2.1K reviews

    Beginner · Course · 1 - 4 Weeks

  • G

    Google

    Using Python to Interact with the Operating System

    Skills you'll gain: Bash (Scripting Language), Test Automation, Unit Testing, Scripting, Software Testing, Linux Commands, Test Driven Development (TDD), Unix Commands, Development Environment, Operating Systems, Command-Line Interface, File Management, OS Process Management, File Systems, Automation, Python Programming

    4.7
    Rating, 4.7 out of 5 stars
    ·
    6.6K reviews

    Beginner · Course · 1 - 3 Months

  • P

    Packt

    Deep Dive into iOS & SwiftUI: 80-Hour Project Course

    Skills you'll gain: iOS Development, Swift Programming, Apple iOS, Core Data (Software), Data Persistence, Test Driven Development (TDD), Mobile Development, Application Design, Application Deployment, Apple Xcode, Plot (Graphics), User Interface (UI), Data Store, Model View Controller, Machine Learning Software, Software Architecture, Performance Tuning, Database Development, Real Time Data, Data Integration

    Intermediate · Specialization · 3 - 6 Months

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

  • Introduction to International Criminal Law: Case Western Reserve University
  • Calibrate and Serve Confident AI Predictions: Coursera
  • Introduction to Artificial Intelligence: University of Illinois Urbana-Champaign
  • Intro to Snowflake for Devs, Data Scientists, Data Engineers: Snowflake
  • Differential Calculus Fundamentals: University of Huddersfield
  • Software Development Lifecycle: University of Minnesota
  • Data Engineering Essentials: KodeKloud
  • Analyze and Manage Hallucinations in Generative AI: EDUCBA
  • Probabilistic Graphical Models 2: Inference: Stanford University
  • Use AI as a Creative or Expert Partner: Google

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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