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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
    V

    Vanderbilt University

    Prompt Engineering for ChatGPT

    Skills you'll gain: Prompt Engineering, ChatGPT, Prompt Patterns, LLM Application, Productivity, OpenAI, AI Enablement, Generative AI, Artificial Intelligence, Large Language Modeling, Creativity, Problem Solving, Context Management, Verification And Validation

    4.8
    Rating, 4.8 out of 5 stars
    ·
    7.6K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Preparing for Google Cloud Certification: Cloud Network Engr

    Skills you'll gain: Google Cloud Platform, Distributed Denial-Of-Service (DDoS) Attacks, Site Reliability Engineering, Incident Management, Google App Engine, Load Balancing, Cloud Infrastructure, Network Monitoring, Firewall, Cloud Computing Architecture, Application Performance Management, Network Architecture, Identity and Access Management, Network Troubleshooting, System Monitoring, Network Security, Big Data, Containerization, Virtual Networking, Virtual Private Networks (VPN)

    4.7
    Rating, 4.7 out of 5 stars
    ·
    50K reviews

    Intermediate · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Data Analysis with Python

    Skills you'll gain: Data Wrangling, Exploratory Data Analysis, Model Evaluation, Data Analysis, Predictive Modeling, Data Pipelines, Data Import/Export, Regression Analysis, Data Science, Pandas (Python Package), Data Manipulation, Predictive Analytics, Data Cleansing, Statistical Analysis, Scikit Learn (Machine Learning Library), Data Preprocessing, Matplotlib, Data Visualization, Scatter Plots, Python Programming

    4.7
    Rating, 4.7 out of 5 stars
    ·
    20K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: New
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    Status: Free Trial
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    A

    Arizona State University

    Classification and Planned Experiments

    Skills you'll gain: Experimentation, Research Design, Statistical Modeling, Statistical Methods, Applied Machine Learning, Supervised Learning, Logistic Regression, Predictive Modeling, Statistical Programming, Statistical Analysis, Statistical Inference, Simulation and Simulation Software, Probability & Statistics, Data Science, Data Visualization, Simulations, Data Analysis, Data Analysis Software

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of California, Davis

    Learn SQL Basics for Data Science

    Skills you'll gain: Data Governance, Presentations, Apache Spark, SQL, Distributed Computing, Data Quality, Descriptive Statistics, Data Lakes, Data Storytelling, Peer Review, Exploratory Data Analysis, Data Pipelines, JSON, Statistical Analysis, Data Modeling, Performance Metric, Data Warehousing, Data Analysis, Databases, Complex Problem Solving

    4.6
    Rating, 4.6 out of 5 stars
    ·
    17K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Generative AI: Prompt Engineering Basics

    Skills you'll gain: Prompt Engineering, Prompt Patterns, Generative AI, ChatGPT, Context Management

    4.8
    Rating, 4.8 out of 5 stars
    ·
    7.7K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: New
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    Status: Free Trial
    Free Trial
    I

    IBM

    Generative AI for Sales Professionals

    Skills you'll gain: Prompt Engineering, Prompt Patterns, Generative AI, ChatGPT, Sales Strategy, Sales Presentation, Sales Enablement, Sales Training, Sales Pipelines, Sales Management, Lead Generation, Sales Prospecting, LinkedIn, B2B Sales, Prospecting and Qualification, AI Personalization, Artificial Intelligence and Machine Learning (AI/ML), Email Marketing, Responsible AI, Marketing Collateral

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

    Intermediate · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    NoSQL, Big Data, and Spark Foundations

    Skills you'll gain: NoSQL, Apache Hadoop, Apache Spark, MongoDB, Extract, Transform, Load, PySpark, Big Data, Apache Cassandra, Apache Hive, Supervised Learning, Machine Learning, Databases, Generative AI, Unsupervised Learning, Data Processing, Data Preprocessing, Applied Machine Learning, Model Evaluation, Graph Theory, Database Administration

    4.5
    Rating, 4.5 out of 5 stars
    ·
    823 reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    IBM IT Scrum Master

    Skills you'll gain: User Story, Software Development Life Cycle, Software Architecture, Agile Software Development, Scrum (Software Development), Sprint Retrospectives, Software Design, Kanban Principles, Cloud-Native Computing, DevOps, Information Technology, Software Engineering, Computer Hardware, Software Design Patterns, Agile Product Development, Agile Methodology, Sprint Planning, Leadership, Risk Management, Communication

    4.8
    Rating, 4.8 out of 5 stars
    ·
    11K reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • Status: New
    New
    Status: Free Trial
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    E

    EDUCBA

    Master AI & AWS Cloud Skills: Analyze, Build, Deploy

    Skills you'll gain: AWS SageMaker, Responsible AI, Artificial Intelligence, Machine Learning, Prompt Engineering, Amazon Web Services, Model Deployment, Supervised Learning, Computer Vision, Image Analysis, Model Evaluation, Unsupervised Learning, Data Preprocessing, Natural Language Processing, Deep Learning, Reinforcement Learning

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    U

    University of Washington

    Computational Neuroscience

    Skills you'll gain: Supervised Learning, Network Model, Matlab, Machine Learning Algorithms, Artificial Neural Networks, Neurology, Computer Science, Reinforcement Learning, Computational Thinking, Bioinformatics, Mathematical Modeling, Physiology, Recurrent Neural Networks (RNNs), Biology, Linear Algebra, Statistical Methods, Information Architecture, Differential Equations, Probability Distribution

    4.6
    Rating, 4.6 out of 5 stars
    ·
    1.1K reviews

    Beginner · Course · 1 - 3 Months

  • Status: New
    New
    Status: Preview
    Preview
    B

    Board Infinity

    Transformers in Action: A Practical Approach to NLP and AI

    Skills you'll gain: Hugging Face, Model Evaluation, Embeddings, Transfer Learning, Recurrent Neural Networks (RNNs), Model Deployment, Data Preprocessing, Performance Tuning

    Intermediate · Course · 1 - 4 Weeks

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

  • Prompt Engineering for ChatGPT: Vanderbilt University
  • Preparing for Google Cloud Certification: Cloud Network Engr: Google Cloud
  • Data Analysis with Python: IBM
  • Classification and Planned Experiments: Arizona State University
  • Learn SQL Basics for Data Science: University of California, Davis
  • Generative AI: Prompt Engineering Basics: IBM
  • Generative AI for Sales Professionals: IBM
  • NoSQL, Big Data, and Spark Foundations: IBM
  • IBM IT Scrum Master: IBM
  • Master AI & AWS Cloud Skills: Analyze, Build, Deploy: EDUCBA

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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