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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

    Deep Learning with PyTorch : Generative Adversarial Network

    Skills you'll gain: Generative Adversarial Networks (GANs), Generative AI, PyTorch (Machine Learning Library), Generative Model Architectures, Deep Learning, Convolutional Neural Networks, Model Training, Python Programming

    4.5 stars, 100 reviews, Intermediate, Guided Project, Less Than 2 Hours

    ★ 4.5 (100) · Intermediate · Guided Project · Less Than 2 Hours

    Category: Free
    Free
  • C

    Coursera

    Launch an auto-scaling AWS EC2 virtual machine

    Skills you'll gain: Amazon Elastic Compute Cloud, Amazon Web Services, Virtual Machines, Cloud Hosting, Cloud Infrastructure, Scalability, Verification And Validation, Cloud Deployment, Capacity Management, Application Deployment

    4.6 stars, 57 reviews, Intermediate, Guided Project, Less Than 2 Hours

    ★ 4.6 (57) · Intermediate · Guided Project · Less Than 2 Hours

    Category: Free
    Free
  • P

    Packt

    Deep Learning, NLP, and AI Applications

    Skills you'll gain: Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Transfer Learning, Natural Language Processing, Model Optimization, Deep Learning, PyTorch (Machine Learning Library), Large Language Modeling, Fine-tuning, Keras (Neural Network Library), Artificial Neural Networks, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Image Analysis, Tensorflow, Artificial Intelligence, Machine Learning Methods, Computer Vision, Model Training

    Advanced · Course · 1 - 3 Months

    Status: Free trial
    Free trial
  • C

    Coursera

    Optimize Deep Learning: Tune PyTorch Models

    Skills you'll gain: Fine-tuning, Model Optimization, Model Deployment, Model Training, PyTorch (Machine Learning Library), Transfer Learning, Performance Tuning, Debugging, MLOps (Machine Learning Operations), Deep Learning, Scalability, Artificial Neural Networks

    Intermediate · Course · 1 - 4 Weeks

    Status: Free trial
    Free trial
  • P

    Pearson

    Google BigQuery for Data and ML Engineers

    Skills you'll gain: Data Pipelines, Data Warehousing, SQL, Data Integration, Google Cloud Platform, Data Processing, Data Quality, Data Validation, Apache Spark, Generative AI, Data Import/Export, Data Manipulation, Applied Machine Learning, Big Data, Serverless Computing, Machine Learning Methods, Model Evaluation, Machine Learning, Exploratory Data Analysis, Time Series Analysis and Forecasting

    Intermediate · Course · 1 - 4 Weeks

  • N

    Northeastern University

    Statistical Learning for Engineering Part 1

    Skills you'll gain: Unsupervised Learning, Supervised Learning, Regression Analysis, Applied Machine Learning, Machine Learning Methods, Statistical Modeling, Model Optimization, Machine Learning Algorithms, PyTorch (Machine Learning Library), Statistical Methods, Statistical Machine Learning, Machine Learning, Predictive Analytics, Predictive Modeling, Machine Learning Software, Statistical Programming, Model Training, Statistical Software, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning

    Intermediate · Course · 1 - 3 Months

    Category: Preview
    Preview
  • U

    University of Michigan

    Learning Experience Design: Orientation to the Profession

    Skills you'll gain: Instructional Design, Learning Theory, User Experience Design, Design, Design Thinking, Education Software and Technology, Professional Development, Human Centered Design, Diversity Awareness, Digital pedagogy, Diversity Equity and Inclusion Initiatives, Personal Development, Collaboration

    4.7 stars, 90 reviews, Beginner, Course, 1 - 4 Weeks

    ★ 4.7 (90) · Beginner · Course · 1 - 4 Weeks

    Status: Free trial
    Free trial
  • B

    Board Infinity

    Mastering Tabular ML: Feature Engineering to Production

    Skills you'll gain: Feature Engineering, Decision Tree Learning, Machine Learning Methods, Classification And Regression Tree (CART), Applied Machine Learning, Statistical Machine Learning, Model Training, Machine Learning, Supervised Learning, Data Preprocessing, Model Optimization, Predictive Modeling, Model Evaluation, Model Deployment, Data Wrangling, Data Synthesis, Data Transformation, Exploratory Data Analysis, Data Validation

    Intermediate · Course · 1 - 4 Weeks

    Category: New
    New
    Category: Preview
    Preview
  • L

    LearnKartS

    Become AI-Ready: Deep Learning Fundamentals

    Skills you'll gain: Generative AI, Deep Learning, Tensorflow, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Model Optimization, Machine Learning, Model Training

    Beginner · Course · 1 - 4 Weeks

    Category: Preview
    Preview
  • C

    Coursera

    Operationalizing ML Models: MLOps for Scalable AI

    Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, CI/CD, Continuous Deployment, Docker (Software), Kubernetes, Model Training, Containerization, AI Workflows, Model Optimization, Scalability, Devops Tools, DevOps, Continuous Monitoring

    Intermediate · Course · 1 - 4 Weeks

    Category: Preview
    Preview
  • P

    Packt

    Sequence Modeling, Transformers, and Transfer Learning

    Skills you'll gain: Recurrent Neural Networks (RNNs), Fine-tuning, Transfer Learning, Large Language Modeling, Natural Language Processing, Generative AI, Deep Learning, Artificial Neural Networks, Generative Model Architectures, Model Training, Computer Vision

    Intermediate · Course · 1 - 4 Weeks

    Status: Free trial
    Free trial
  • C

    Coursera

    Orchestrate, Analyze, and Evaluate ML Pipelines

    Skills you'll gain: Feature Engineering, Data Pipelines, Apache Airflow, MLOps (Machine Learning Operations), Service Level, AI Orchestration, Data Store, Data Transformation, Change Control, Key Performance Indicators (KPIs)

    Intermediate · Course · 1 - 4 Weeks

    Category: New
    New
    Status: Free trial
    Free trial
1…626364…834

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

  • Deep Learning with PyTorch : Generative Adversarial Network: Coursera
  • Launch an auto-scaling AWS EC2 virtual machine: Coursera
  • Deep Learning, NLP, and AI Applications: Packt
  • Optimize Deep Learning: Tune PyTorch Models: Coursera
  • Google BigQuery for Data and ML Engineers: Pearson
  • Statistical Learning for Engineering Part 1: Northeastern University
  • Learning Experience Design: Orientation to the Profession: University of Michigan
  • Mastering Tabular ML: Feature Engineering to Production: Board Infinity
  • Become AI-Ready: Deep Learning Fundamentals: LearnKartS
  • Operationalizing ML Models: MLOps for Scalable AI: 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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