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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

    Coursera

    Applied Object Detection & Segmentation

    Skills you'll gain: Model Evaluation, Model Deployment, MLOps (Machine Learning Operations), Transfer Learning, Image Analysis, Computer Vision, Performance Metric, Tensorflow, Performance Measurement, Data Cleansing, Data Transformation, Performance Analysis, Data Quality, Failure Analysis, Data Pipelines, Deep Learning, PyTorch (Machine Learning Library), Applied Machine Learning, Docker (Software), Python Programming

    Intermediate · Specialization · 1 - 3 Months

  • C

    CertNexus

    Solve Business Problems with AI and Machine Learning

    Skills you'll gain: Data Ethics, Responsible AI, Regulatory Compliance, Business Ethics, Compliance Management, AI Enablement, Applied Machine Learning, Project Implementation, AI Product Strategy, Business Solutions, Solution Design, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Model Evaluation, MLOps (Machine Learning Operations), Data-Driven Decision-Making, Machine Learning Algorithms

    4.4
    Rating, 4.4 out of 5 stars
    ·
    112 reviews

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Build your first Machine Learning Pipeline using Dataiku

    Skills you'll gain: Data Import/Export, Model Evaluation, No-Code Development, Exploratory Data Analysis, Predictive Modeling, Applied Machine Learning, Data Pipelines, Data Manipulation, Data Preprocessing, Machine Learning, Time Series Analysis and Forecasting

    4.5
    Rating, 4.5 out of 5 stars
    ·
    60 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Bestseller
    Bestseller
    I

    IBM

    Applied Software Engineering Fundamentals

    Skills you'll gain: Software Development Life Cycle, Linux Commands, Software Architecture, Bash (Scripting Language), Restful API, Shell Script, Git (Version Control System), GitHub, Software Design, Flask (Web Framework), Version Control, File Management, Linux, Software Development Methodologies, Software Design Patterns, Application Deployment, Data Import/Export, Programming Principles, Web Scraping, Python Programming

    4.6
    Rating, 4.6 out of 5 stars
    ·
    51K reviews

    Beginner · Specialization · 3 - 6 Months

  • C

    Coursera

    Build a Machine Learning Image Classifier with Python

    Skills you'll gain: Data Preprocessing, Keras (Neural Network Library), Model Evaluation, Image Analysis, Data Manipulation, Visualization (Computer Graphics), Convolutional Neural Networks, Applied Machine Learning, Computer Vision, Jupyter, Deep Learning, Python Programming, Machine Learning

    4.1
    Rating, 4.1 out of 5 stars
    ·
    11 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • I

    IBM

    Applied Data Science Capstone

    Skills you'll gain: Model Evaluation, Exploratory Data Analysis, Plotly, Statistical Reporting, Predictive Modeling, Interactive Data Visualization, Data Visualization Software, Applied Machine Learning, Data Science, Data Analysis, Classification And Regression Tree (CART), Data-Driven Decision-Making, Pandas (Python Package), Data Wrangling, Data Collection, GitHub

    4.7
    Rating, 4.7 out of 5 stars
    ·
    7.4K reviews

    Intermediate · Course · 1 - 3 Months

  • P

    Packt

    Machine Learning – Modern Computer Vision & Generative AI

    Skills you'll gain: Test Driven Development (TDD), Image Analysis, Computer Vision, Machine Learning Methods, Artificial Intelligence and Machine Learning (AI/ML), Convolutional Neural Networks, Deep Learning, Keras (Neural Network Library), Tensorflow, Python Programming, Data Preprocessing, Development Environment, Jupyter, NumPy

    Intermediate · Course · 1 - 3 Months

  • 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

  • G

    Google Cloud

    Machine Learning Operations (MLOps): Getting Started - 한국어

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

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Advancing Your Career in AI and Machine Learning Engineering

    Skills you'll gain: Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Presentations, Technical Communication, AI Enablement, Technical Documentation, MLOps (Machine Learning Operations), AI Product Strategy, Model Deployment, Interviewing Skills, Cloud Deployment

    Intermediate · Course · 1 - 4 Weeks

  • B

    Board Infinity

    Blockchain Technology Applied

    Skills you'll gain: Blockchain, User Interface and User Experience (UI/UX) Design, Cryptography, Secure Coding, Application Security, Web Development Tools, React Redux, Encryption, User Experience Design, Key Management, Application Design, Cryptographic Protocols, Application Development, Web Applications, Software Development Tools, Legal Technology, Vulnerability Assessments, Frontend Integration, Data Security, Program Development

    Intermediate · Specialization · 1 - 3 Months

  • N

    Northeastern University

    Machine Learning and Data Analytics Part 1

    Skills you'll gain: Classification Algorithms, Exploratory Data Analysis, Data Mining, Model Evaluation, Dimensionality Reduction, Regression Analysis, Machine Learning Algorithms, Data Analysis, Big Data, Feature Engineering, Predictive Modeling, Statistical Analysis, Data Preprocessing, Case Studies, Supervised Learning, Project Implementation

    Intermediate · Course · 1 - 3 Months

1…272829…682

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

  • Applied Object Detection & Segmentation: Coursera
  • Solve Business Problems with AI and Machine Learning: CertNexus
  • Build your first Machine Learning Pipeline using Dataiku : Coursera
  • Applied Software Engineering Fundamentals: IBM
  • Build a Machine Learning Image Classifier with Python: Coursera
  • Applied Data Science Capstone: IBM
  • Machine Learning – Modern Computer Vision & Generative AI: Packt
  • Data Science and Machine Learning H2O.ai Platforms: H2O.ai
  • Machine Learning Operations (MLOps): Getting Started - 한국어: Google Cloud
  • Advancing Your Career in AI and Machine Learning Engineering: Coursera

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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