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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.


More to explore:

Popular Applied Machine Learning Courses and Certifications


  • P

    Packt

    Matrix Calculus for Data Science & Machine Learning

    Skills you'll gain: Calculus, Applied Mathematics, NumPy, Machine Learning Algorithms, Data Science, Tensorflow, Python Programming, Derivatives, Algorithms, Development Environment

    Intermediate · Course · 1 - 3 Months

  • P

    Packt

    Basics of Chatbots with Machine Learning & Python

    Skills you'll gain: Natural Language Processing, Python Programming, Text Mining, Artificial Intelligence, Data Preprocessing, Machine Learning, Applied Machine Learning, Data Collection, Data Analysis

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    T

    The State University of New York

    Applied Digital Literacy

    Skills you'll gain: Digital Design, digital literacy, Infographics, Content Creation, Graphic Design, Multimedia, Brainstorming, Planning, Information Management, Research, Literacy, Computer Literacy, Critical Thinking, Investigation, Data Ethics, Digital Communications, Open Source Technology, Intellectual Property, Web Content Accessibility Guidelines, Peer Review

    4.8
    Rating, 4.8 out of 5 stars
    ·
    293 reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Applied Sustainability Engineering

    Skills you'll gain: Sustainable Design, Sustainable Technologies, Sustainable Engineering, Sustainable Business, Energy and Utilities, Sustainable Development, Corporate Sustainability, Strategic Leadership, Product Engineering, Environmental Management Systems, Environmental Engineering, Waste Minimization, Packaging and Labeling, Product Lifecycle Management, Climate Change Mitigation, Emerging Technologies

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
    ·
    50 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    L

    LearnQuest

    Fundamentals of Machine Learning for Supply Chain

    Skills you'll gain: Exploratory Data Analysis, Data Wrangling, Data Preprocessing, Operations Research, NumPy, Data Manipulation, Supply Chain, Data Transformation, Pandas (Python Package), Data Analysis, Data Cleansing, Data Science, Jupyter, Programming Principles, Python Programming, Pivot Tables And Charts, Applied Machine Learning, Plot (Graphics), Data Structures, Scripting

    3.7
    Rating, 3.7 out of 5 stars
    ·
    39 reviews

    Beginner · Course · 1 - 4 Weeks

  • C

    Clemson University

    Applied Data Science

    Skills you'll gain: Dimensionality Reduction, Model Evaluation, Data Cleansing, Matplotlib, Regression Analysis, Unsupervised Learning, Data Science, Statistical Analysis, Anomaly Detection, Data Preprocessing, Statistical Methods, Data Analysis, Data Visualization Software, Pandas (Python Package), Exploratory Data Analysis, Machine Learning

    Build toward a degree

    Intermediate · Course · 1 - 3 Months

  • C

    Commonwealth Education Trust

    Foundations of Teaching for Learning: Introduction

    Skills you'll gain: Creative Thinking, Classroom Management, Teaching, Adaptability, Education and Training, Pedagogy, Instructional Strategies, Adult Education, Student Engagement, Rapport Building, Professional Development, Learning Theory, Collaboration, Curriculum Development, Childhood Education and Development, Planning

    4.6
    Rating, 4.6 out of 5 stars
    ·
    859 reviews

    Mixed · Course · 1 - 4 Weeks

  • H

    H2O.ai

    Data Science and Machine Learning H2O.ai Platforms

    Skills you'll gain: Model Deployment, Generative AI, Data Wrangling, Project Planning, Responsible AI, Data Preprocessing, Data Governance, Exploratory Data Analysis, Applied Machine Learning, Large Language Modeling, AI Enablement, MLOps (Machine Learning Operations), Data Science, Prompt Engineering, Model Evaluation, Feature Engineering

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    M

    Microsoft

    Microsoft Azure for AI and Machine Learning

    Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), Microsoft Azure, Azure DevOps, Artificial Intelligence and Machine Learning (AI/ML), Application Deployment, Data Pipelines, Data Preprocessing, CI/CD, Continuous Monitoring, Debugging, Identity and Access Management, Version Control, Data Storage, Scalability

    4.7
    Rating, 4.7 out of 5 stars
    ·
    24 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    Università di Napoli Federico II

    Machine Learning e Data Mining in R

    Skills you'll gain: Unsupervised Learning, Supervised Learning, R Programming, R (Software), Artificial Neural Networks, Transfer Learning, Machine Learning, Exploratory Data Analysis, Tidyverse (R Package), Deep Learning, Predictive Modeling, Ggplot2, Regression Analysis, Dimensionality Reduction, Data Analysis, Data Wrangling, Data Modeling

    4.9
    Rating, 4.9 out of 5 stars
    ·
    10 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    G

    Google Cloud

    Machine Learning Operations (MLOps): Getting Started - 한국어

    Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Google Cloud Platform, DevOps, Application Lifecycle Management, Continuous Deployment, Model Evaluation, Applied Machine Learning, Cloud Solutions, Automation, Data Management

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    C

    Corporate Finance Institute

    Data Prep for Machine Learning in Python

    Skills you'll gain: Data Preprocessing, Feature Engineering, Data Import/Export, Exploratory Data Analysis, Data Cleansing, Statistical Visualization, Data Manipulation, Data Visualization, Data Transformation, Pandas (Python Package), Box Plots, Python Programming, Data Science, Scikit Learn (Machine Learning Library)

    Advanced · Course · 1 - 3 Months

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

  • Matrix Calculus for Data Science & Machine Learning: Packt
  • Basics of Chatbots with Machine Learning & Python: Packt
  • Applied Digital Literacy: The State University of New York
  • Applied Sustainability Engineering: University of Colorado Boulder
  • Fundamentals of Machine Learning for Supply Chain: LearnQuest
  • Applied Data Science: Clemson University
  • Foundations of Teaching for Learning: Introduction: Commonwealth Education Trust
  • Data Science and Machine Learning H2O.ai Platforms: H2O.ai
  • Microsoft Azure for AI and Machine Learning: Microsoft
  • Machine Learning e Data Mining in R: Università di Napoli Federico II

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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