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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
    Free
    A

    Amazon Web Services

    Introduction to Machine Learning: Art of the Possible

    Skills you'll gain: Business Leadership, Strategic Leadership, Strategic Decision-Making, Business Transformation, Applied Machine Learning, Business Strategy, Business Planning, AI Enablement, Leadership and Management, Machine Learning, Process Development, Decision Making, Technology Roadmaps

    4.3
    Rating, 4.3 out of 5 stars
    ·
    26 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    W

    Whizlabs

    Azure ML: Designing and Preparing Machine Learning Solutions

    Skills you'll gain: Model Deployment, Machine Learning Algorithms, Machine Learning Methods, Data Management, Model Training, Data Import/Export, Data Pipelines, Development Environment, Statistical Modeling

    Intermediate · Course · 1 - 4 Weeks

  • I

    IBM

    Scalable Machine Learning on Big Data using Apache Spark

    Skills you'll gain: Apache Spark, PySpark, Applied Machine Learning, Big Data, Machine Learning Methods, Data Storage Technologies, Statistical Machine Learning, Data Preprocessing, Data Storage, Data Pipelines, Machine Learning Algorithms, Machine Learning, Data Processing, Data Science, Model Evaluation, Descriptive Statistics

    3.8
    Rating, 3.8 out of 5 stars
    ·
    1.3K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    I

    IBM

    Machine Learning Rapid Prototyping with IBM Watson Studio

    Skills you'll gain: Feature Engineering, Model Deployment, Data Preprocessing, Model Optimization, Model Evaluation, Data Transformation, Model Training, Applied Machine Learning, MLOps (Machine Learning Operations), Predictive Modeling, Exploratory Data Analysis, Machine Learning Methods, Machine Learning, Scikit Learn (Machine Learning Library), Data Science, IBM Cloud, Python Programming

    4.2
    Rating, 4.2 out of 5 stars
    ·
    17 reviews

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Machine/Deep Learning for Mining Quality Prediction-Enhanced

    Skills you'll gain: Exploratory Data Analysis, Model Training, Model Evaluation, Data Preprocessing, Regression Analysis, Predictive Modeling, Machine Learning Methods, Applied Machine Learning, Data Analysis, Plot (Graphics), Machine Learning, Data Visualization, Decision Tree Learning, Predictive Analytics, Machine Learning Algorithms, Data Visualization Software, Artificial Neural Networks, Deep Learning, Statistical Methods, Python Programming

    4.9
    Rating, 4.9 out of 5 stars
    ·
    7 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    P

    Packt

    Building Recommender Systems with Machine Learning and AI

    Skills you'll gain: AI Personalization, Apache Spark, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods, AWS SageMaker, Scalability, Tensorflow, Dimensionality Reduction, Autoencoders, Artificial Neural Networks, Applied Machine Learning, Python Programming, Fraud detection, Machine Learning Algorithms, Model Optimization, Model Evaluation

    Intermediate · Course · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Introduction to Generative AI Learning Path

    Skills you'll gain: Responsible AI, LLM Application, Generative Model Architectures, AI literacy, AI Product Strategy, Deep Learning, Statistical Machine Learning

    4.7
    Rating, 4.7 out of 5 stars
    ·
    15K reviews

    Intermediate · Specialization · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    E

    EDUCBA

    Analyze and Predict Shipping Time Using Machine Learning

    Skills you'll gain: Feature Engineering, Demand Planning, Data Preprocessing, Model Evaluation, Customer Demand Planning, Inventory and Warehousing, Transportation, Supply Chain, and Logistics, Inventory Control, Logistics, Logistics Management, Data Cleansing, Forecasting, Exploratory Data Analysis, Data Processing, Model Training, Supply Chain, Data Quality, Predictive Modeling, Applied Machine Learning, Shipping and Receiving

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    C

    Coursera

    Data Engineering & Pipeline Reliability for Machine Learning

    Skills you'll gain: Data Preprocessing, Data Cleansing, Data Pipelines, Feature Engineering, Data Quality, MLOps (Machine Learning Operations), Extract, Transform, Load, Data Transformation, Data Integration, Dataflow, Development Environment, Data Wrangling, Apache Airflow, Package and Software Management, Git (Version Control System), Quality Assurance, Exploratory Data Analysis, Cost Management, Resource Utilization, Virtual Environment

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Smart Analytics, Machine Learning, and AI on Google Cloud

    Skills you'll gain: Model Deployment, Google Cloud Platform, MLOps (Machine Learning Operations), Tensorflow, Unstructured Data, Machine Learning Methods, Model Training, Applied Machine Learning, Cloud API, Big Data, Machine Learning, Jupyter

    4.6
    Rating, 4.6 out of 5 stars
    ·
    1.2K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    IBM Applied DevOps Engineering

    Skills you'll gain: User Story, Cloud Deployment, CI/CD, Open Web Application Security Project (OWASP), Continuous Integration, Istio, Test Driven Development (TDD), Application Deployment, Devops Tools, Gherkin (Scripting Language), Kubernetes, Jenkins, Agile Software Development, Scrum (Software Development), Test Tools, DevOps, Secure Coding, Grafana, System Monitoring, Agile Methodology

    Build toward a degree

    4.7
    Rating, 4.7 out of 5 stars
    ·
    8.2K reviews

    Intermediate · Professional Certificate · 3 - 6 Months

  • Status: Preview
    Preview
    C

    Cleveland Clinic

    Computer Vision and Sequence Analysis in Machine Learning

    Skills you'll gain: Convolutional Neural Networks, Transfer Learning, Predictive Modeling, Applied Machine Learning, Biomedical Engineering, Model Evaluation, Markov Model, Health Informatics, Data Structures

    Intermediate · Course · 1 - 4 Weeks

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

  • Introduction to Machine Learning: Art of the Possible: Amazon Web Services
  • Azure ML: Designing and Preparing Machine Learning Solutions: Whizlabs
  • Scalable Machine Learning on Big Data using Apache Spark: IBM
  • Machine Learning Rapid Prototyping with IBM Watson Studio: IBM
  • Machine/Deep Learning for Mining Quality Prediction-Enhanced: Coursera
  • Building Recommender Systems with Machine Learning and AI: Packt
  • Introduction to Generative AI Learning Path: Google Cloud
  • Analyze and Predict Shipping Time Using Machine Learning: EDUCBA
  • Data Engineering & Pipeline Reliability for Machine Learning: Coursera
  • Smart Analytics, Machine Learning, and AI on Google Cloud: Google Cloud

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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