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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


  • U

    Universidad Nacional Autónoma de México

    Español básico para atención médica

    Skills you'll gain: Patient Evaluation, Medical Prescription, Grammar

    Intermediate · Course · 1 - 3 Months

  • T

    The Hong Kong University of Science and Technology

    Discrete Math for Computer Science - Algorithms & Recursion

    Skills you'll gain: Cryptography, Algorithms, Theoretical Computer Science, Mathematical Theory & Analysis, Arithmetic, Computational Thinking, Public Key Cryptography Standards (PKCS), Data Structures, Applied Mathematics, Logical Reasoning, Deductive Reasoning

    Beginner · Course · 1 - 3 Months

  • C

    Coursera

    Optimize with GA & RL

    Skills you'll gain: Reinforcement Learning, Inventory Management System, Supply Chain, Operations Research, Supply Chain Management, Process Optimization, Data-Driven Decision-Making, Process Analysis, Artificial Intelligence and Machine Learning (AI/ML), Performance Tuning, Decision Making, Simulations, Algorithms

    Intermediate · 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

  • G

    Google Cloud

    Déployer et adapter des modèles d'IA avec Cloud Run

    Skills you'll gain: Google Cloud Platform, Model Deployment, Generative AI, Serverless Computing, Cloud Deployment, Application Deployment, Containerization, Performance Tuning, Machine Learning Methods, Scalability

    Beginner · Course · 1 - 4 Weeks

  • P

    Packt

    Data-Driven Apps with Core Data, ML, and App Architecture

    Skills you'll gain: Apple iOS, Core Data (Software), Application Design, Swift Programming, Apple Xcode, User Interface (UI), Mobile Development, Data Store, Machine Learning Software, Software Architecture, Performance Tuning, Database Development, Database Management, Software Design, Model View Controller, User Interface and User Experience (UI/UX) Design, Application Development

    Intermediate · Course · 1 - 4 Weeks

  • G

    Google Cloud

    Feature Engineering

    Skills you'll gain: Feature Engineering, Data Preprocessing, Tensorflow, MLOps (Machine Learning Operations), Data Pipelines, Keras (Neural Network Library), Data Processing, Data Transformation, Data Modeling, Data Store, Real Time Data, Machine Learning, Data Storage

    4.5
    Rating, 4.5 out of 5 stars
    ·
    1.8K reviews

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    Portfolio and Industry Readiness for Agentic AI Architects

    Skills you'll gain: Agentic Workflows, Technical Communication, Agentic systems, AI Orchestration, Artificial Intelligence and Machine Learning (AI/ML), AI Security, Data Presentation, Professional Development, MLOps (Machine Learning Operations), Technical Documentation, Coaching, Technical Writing, Portfolio Management, Verbal Communication Skills, Project Documentation, Communication Strategies, GitHub

    Intermediate · Course · 1 - 4 Weeks

  • U

    University of California San Diego

    Bioinformatics

    Skills you'll gain: Bioinformatics, Molecular Biology, Dimensionality Reduction, Unsupervised Learning, Data Analysis, Network Analysis, Markov Model, Biochemistry, Biotechnology, Life Sciences, Infectious Diseases, Microbiology, Statistical Analysis, Biology, Algorithms, Data Preprocessing, Machine Learning, Data Analysis Software, Data Mapping, Python Programming

    4.3
    Rating, 4.3 out of 5 stars
    ·
    1.3K reviews

    Beginner · Specialization · 3 - 6 Months

  • D

    Duke University

    Python Essentials for MLOps

    Skills you'll gain: Pandas (Python Package), MLOps (Machine Learning Operations), NumPy, Model Deployment, Data Manipulation, Software Testing, Data Import/Export, Test Automation, Python Programming, Debugging, Data Structures, Machine Learning, Object Oriented Programming (OOP), Scripting, Numerical Analysis, Application Programming Interface (API), Command-Line Interface

    4.2
    Rating, 4.2 out of 5 stars
    ·
    354 reviews

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    Evaluate, Analyze, and Model Performance

    Skills you'll gain: Performance Metric, Predictive Modeling, Data-Driven Decision-Making, Failure Analysis, Statistical Analysis, Technical Communication, Statistical Hypothesis Testing

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Grasp Vector DB Basics

    Skills you'll gain: Vector Databases, Semantic Web, Database Theory, Database Design, Databases, NoSQL, Decision Making, Relational Databases, Data-Driven Decision-Making, Data Architecture, Stakeholder Communications, Business Analysis, Stakeholder Management, Persuasive Communication, Machine Learning Methods, System Design and Implementation

    Intermediate · Course · 1 - 4 Weeks

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

  • Español básico para atención médica: Universidad Nacional Autónoma de México
  • Discrete Math for Computer Science - Algorithms & Recursion: The Hong Kong University of Science and Technology
  • Optimize with GA & RL: Coursera
  • Using Python to Interact with the Operating System: Google
  • Déployer et adapter des modèles d'IA avec Cloud Run: Google Cloud
  • Data-Driven Apps with Core Data, ML, and App Architecture: Packt
  • Feature Engineering: Google Cloud
  • Portfolio and Industry Readiness for Agentic AI Architects: Coursera
  • Bioinformatics: University of California San Diego
  • Python Essentials for MLOps: Duke University

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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