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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

    Training, Evaluating, and Monitoring Machine Learning Models

    Skills you'll gain: Model Evaluation, Model Training, MLOps (Machine Learning Operations), System Monitoring, Continuous Monitoring, Model Deployment, Verification And Validation, Performance Metric, A/B Testing, Statistical Methods, Failure Analysis, Statistical Hypothesis Testing, Applied Machine Learning, Statistical Analysis, Scikit Learn (Machine Learning Library), Benchmarking

    Intermediate · Course · 1 - 3 Months

  • N

    Northeastern University

    Machine Learning in Healthcare: Fundamentals & Applications

    Skills you'll gain: Data Mining, Artificial Intelligence and Machine Learning (AI/ML), Model Training, Machine Learning Methods, Machine Learning Software, Applied Machine Learning, Predictive Modeling, Machine Learning, Artificial Intelligence, Machine Learning Algorithms, AI Integrations, Random Forest Algorithm, Diagnostic Tests, Clinical Experience, Responsible AI, Deep Learning, Model Evaluation, Unsupervised Learning, Health Technology, Healthcare Industry Knowledge

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

  • U

    University of California San Diego

    Applied Bioinformatics

    Skills you'll gain: Bioinformatics, Diagnostic Tests, Computational Thinking, Model Evaluation, Epidemiology, Infectious Diseases, Informatics, Network Analysis, Molecular Biology, Medical Science and Research, Molecular, Cellular, and Microbiology, Biotechnology, Biochemistry, Data Mining, Life Sciences, Scientific Visualization, Data Synthesis, Data Literacy, Microbiology, Science and Research

    ★ 4.4 (69) · Beginner · Specialization · 1 - 3 Months

  • E

    EDUCBA

    Octave Machine Learning: Apply, Analyze & Build

    Skills you'll gain: Scalability, Time Series Analysis and Forecasting, File I/O, Predictive Modeling, Code Reusability, Programming Principles, Data Import/Export, Matlab, Scripting, Data Analysis, Data Processing, Computational Logic, Data Manipulation, Applied Machine Learning, File Management, Functional Design

    Mixed · Course · 1 - 4 Weeks

  • P

    Packt

    Machine Learning Product Management - Strategy to Deployment

    Skills you'll gain: Model Deployment, Data Preprocessing, MLOps (Machine Learning Operations), Model Evaluation, AI Product Strategy, Product Management, Model Training, Product Lifecycle Management, Machine Learning Algorithms, Model Optimization, Applied Machine Learning, Decision Intelligence, Data Processing, Technical Product Management, Feature Engineering, Project Management, Machine Learning Methods, Machine Learning, Technical Management, Data Transformation

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    Building, Optimizing, and Validating Machine Learning Models

    Skills you'll gain: Model Training, Model Optimization, Model Evaluation, Machine Learning Software, Applied Machine Learning, Predictive Modeling, Machine Learning Methods, Feature Engineering, Workflow Management, Verification And Validation, Machine Learning, Supervised Learning, Statistical Machine Learning, Statistical Modeling, Scikit Learn (Machine Learning Library), Benchmarking, Random Forest Algorithm, Performance Analysis, Cost Management, Resource Utilization

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    Auto Machine Learning (AutoML) Using AutoGluon

    Skills you'll gain: Applied Machine Learning, Machine Learning Methods, Classification Algorithms, Machine Learning Software, Model Evaluation, Model Training, Model Optimization, Machine Learning, Predictive Modeling, Python Programming

    Beginner · Guided Project · Less Than 2 Hours

  • H

    HRCI

    Learning and Development

    Skills you'll gain: Training and Development, Training Programs, Employee Training, Developing Training Materials, Adult Education, Drive Engagement, Employee Engagement, Compliance Training, Instructional Design, Workforce Development, On-The-Job Training, Organizational Development, Needs Assessment, Program Evaluation, Professional Development, Learning Styles

    ★ 4.8 (847) · Beginner · Course · 1 - 4 Weeks

  • G

    Google Cloud

    Getting Started with BigQuery Machine Learning

    Skills you'll gain: Model Evaluation, Google Cloud Platform, Big Data, Applied Machine Learning, Predictive Modeling, Model Training, Analytics, Cloud Computing, Predictive Analytics, Machine Learning, SQL

    Beginner · Project · Less Than 2 Hours

  • J

    Johns Hopkins University

    Reliability, Cloud Computing and Machine Learning

    Skills you'll gain: Data Warehousing, Apache Hadoop, Transaction Processing, Distributed Computing, Database Systems, Applied Machine Learning, Database Management Systems, Data Architecture, Database Architecture and Administration, Cloud Computing, Big Data, Data Processing, Data Access, Machine Learning, Scalability, Data Integrity, Classification Algorithms

    Intermediate · Course · 1 - 4 Weeks

  • M

    Microsoft

    Create Machine Learning Models in Microsoft Azure

    Skills you'll gain: Unsupervised Learning, Scikit Learn (Machine Learning Library), PyTorch (Machine Learning Library), Convolutional Neural Networks, Exploratory Data Analysis, Deep Learning, Microsoft Azure, Data Visualization, Classification Algorithms, Applied Machine Learning, Regression Analysis, Predictive Modeling, Data Analysis, Image Analysis, Artificial Intelligence and Machine Learning (AI/ML), Data Science, Model Training, Transfer Learning, Databricks, Machine Learning

    ★ 4.5 (331) · Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Interpretable machine learning applications: Part 5

    Skills you'll gain: Model Evaluation, Responsible AI, Exploratory Data Analysis, Histogram, Predictive Modeling, Data Visualization, Predictive Analytics, Data Preprocessing, Machine Learning, Policy Analysis, Statistical Methods, Data Science, Descriptive Statistics, Data Ethics, Economics, Policy, and Social Studies, Development Environment, Software Engineering

    ★ 4.6 (32) · Beginner · Guided Project · Less Than 2 Hours

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

  • Training, Evaluating, and Monitoring Machine Learning Models: Coursera
  • Machine Learning in Healthcare: Fundamentals & Applications: Northeastern University
  • Applied Bioinformatics: University of California San Diego
  • Octave Machine Learning: Apply, Analyze & Build: EDUCBA
  • Machine Learning Product Management - Strategy to Deployment: Packt
  • Building, Optimizing, and Validating Machine Learning Models: Coursera
  • Auto Machine Learning (AutoML) Using AutoGluon : Coursera
  • Learning and Development: HRCI
  • Getting Started with BigQuery Machine Learning: Google Cloud
  • Reliability, Cloud Computing and Machine Learning: Johns Hopkins University

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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