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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


  • Status: Free Trial
    Free Trial
    M

    Microsoft

    Natural Language Processing in Microsoft Azure

    Skills you'll gain: Natural Language Processing, Microsoft Azure, Artificial Intelligence, Artificial Intelligence and Machine Learning (AI/ML), Analytics, Automation, Application Development

    4.7
    Rating, 4.7 out of 5 stars
    ·
    121 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Linear Algebra: Linear Systems and Matrix Equations

    Skills you'll gain: Linear Algebra, Algebra, Advanced Mathematics, Mathematical Modeling, Engineering Analysis, Applied Mathematics, Mathematical Theory & Analysis, Geometry

    4.7
    Rating, 4.7 out of 5 stars
    ·
    161 reviews

    Beginner · Course · 1 - 4 Weeks

  • T

    The University of Edinburgh

    Animal Behaviour and Welfare

    Skills you'll gain: Applied Behavior Analysis, Scientific Methods, Safety Assurance, Behavior Management, Stress Management, Empathy & Emotional Intelligence, Ethical Standards And Conduct, Healthcare Ethics, General Science and Research, Environmental Issue, Nutrition and Diet

    4.8
    Rating, 4.8 out of 5 stars
    ·
    5.4K reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    Universidad de los Andes

    Ciencia de datos​

    Skills you'll gain: Data Ethics, Data Integration, Exploratory Data Analysis, Statistical Hypothesis Testing, Predictive Modeling, Correlation Analysis, Data Visualization Software, Data Quality, Data Science, Jupyter, Data Analysis, Data Preprocessing, Data Transformation, Data Cleansing, Business Analytics, Data Manipulation, Supervised Learning, Regression Analysis, Applied Machine Learning, Model Evaluation

    4.7
    Rating, 4.7 out of 5 stars
    ·
    564 reviews

    Beginner · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Excel Basics for Data Analysis

    Skills you'll gain: Excel Formulas, Microsoft Excel, Data Cleansing, Data Analysis, Data Import/Export, Spreadsheet Software, Data Wrangling, Data Quality, Pivot Tables And Charts, Google Sheets, Data Manipulation, Data Science, Information Privacy

    4.7
    Rating, 4.7 out of 5 stars
    ·
    11K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Preview
    Preview
    J

    Johns Hopkins University

    Introduction to AI: Key Concepts and Applications

    Skills you'll gain: AI Enablement, Model Evaluation, Performance Metric, Artificial Intelligence and Machine Learning (AI/ML), Strategic Leadership, Responsible AI, Machine Learning Algorithms, Data Quality, Model Deployment, Machine Learning, Algorithms, Classification Algorithms, Artificial Neural Networks, Decision Tree Learning, Random Forest Algorithm, Resource Utilization, System Requirements, Data Management

    4.8
    Rating, 4.8 out of 5 stars
    ·
    24 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Using Python to Access Web Data

    Skills you'll gain: Web Scraping, Restful API, Web Services, JSON, Extensible Markup Language (XML), Network Protocols, Application Programming Interface (API), Data Processing, Hypertext Markup Language (HTML), Python Programming, Data Manipulation, Software Installation

    4.8
    Rating, 4.8 out of 5 stars
    ·
    44K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    P

    Packt

    Advanced PyTorch Techniques and Applications

    Skills you'll gain: PyTorch (Machine Learning Library), Natural Language Processing, Generative Adversarial Networks (GANs), Transfer Learning, Vision Transformer (ViT), Deep Learning, Unsupervised Learning, Embeddings, Convolutional Neural Networks, Applied Machine Learning, Supervised Learning, Model Evaluation, Model Deployment, Flask (Web Framework)

    4.6
    Rating, 4.6 out of 5 stars
    ·
    16 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free
    Free
    D

    DeepLearning.AI

    Carbon Aware Computing for GenAI Developers

    Skills you'll gain: Google Cloud Platform, Cloud Computing, Applied Machine Learning, Datamaps, Model Deployment, Cloud Services, Spatial Data Analysis, Machine Learning, Real Time Data

    4.7
    Rating, 4.7 out of 5 stars
    ·
    10 reviews

    Beginner · Project · Less Than 2 Hours

  • H

    H2O.ai

    H2O Gen AI Ecosystem Overview - Level 2

    Skills you'll gain: Model Deployment, Generative AI, Cloud Deployment, Artificial Intelligence and Machine Learning (AI/ML), Model Evaluation, MLOps (Machine Learning Operations), AI Workflows, System Monitoring, Feature Engineering, Continuous Monitoring, Applied Machine Learning, Data Preprocessing, Advanced Analytics, Artificial Intelligence, Deep Learning, Data Processing, Machine Learning

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Text Marketing Analytics

    Skills you'll gain: Network Analysis, Unsupervised Learning, Social Network Analysis, Supervised Learning, Unstructured Data, Applied Machine Learning, Marketing Analytics, Deep Learning, Scikit Learn (Machine Learning Library), Machine Learning, Tensorflow, Text Mining, Data Analysis, Model Evaluation, Transfer Learning, Predictive Modeling, Semantic Web, JSON, Statistical Methods, Data Manipulation

    Build toward a degree

    3.1
    Rating, 3.1 out of 5 stars
    ·
    15 reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    V

    Vanderbilt University

    Prompt Engineering for Educators

    Skills you'll gain: Prompt Engineering, ChatGPT, Prompt Patterns, LLM Application, Productivity, OpenAI, Creative Problem-Solving, Generative AI, Expense Reports, AI Enablement, AI Personalization, Image Analysis, Artificial Intelligence, Innovation, Brainstorming, Large Language Modeling, Game Design, Expense Management, Organizational Skills, Computer Vision

    4.8
    Rating, 4.8 out of 5 stars
    ·
    8.1K reviews

    Beginner · Specialization · 1 - 3 Months

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

  • Natural Language Processing in Microsoft Azure: Microsoft
  • Linear Algebra: Linear Systems and Matrix Equations: Johns Hopkins University
  • Animal Behaviour and Welfare: The University of Edinburgh
  • Ciencia de datos​: Universidad de los Andes
  • Excel Basics for Data Analysis: IBM
  • Introduction to AI: Key Concepts and Applications: Johns Hopkins University
  • Using Python to Access Web Data: University of Michigan
  • Advanced PyTorch Techniques and Applications: Packt
  • Carbon Aware Computing for GenAI Developers: DeepLearning.AI
  • H2O Gen AI Ecosystem Overview - Level 2: H2O.ai

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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