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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


  • U

    Universidades Anáhuac

    Modelos predictivos con Machine Learning

    Skills you'll gain: Predictive Modeling, Model Evaluation, Time Series Analysis and Forecasting, Predictive Analytics, Model Training, Statistical Machine Learning, Statistical Modeling, Data Modeling, Forecasting, Model Optimization, Applied Machine Learning, Regression Analysis, Feature Engineering, Machine Learning Methods, Scikit Learn (Machine Learning Library), Statistical Methods, Data Preprocessing, Unsupervised Learning, Statistical Analysis, Machine Learning

    Intermediate · Course · 1 - 4 Weeks

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • I

    Imperial College London

    Mathematics for Machine Learning: Multivariate Calculus

    Skills you'll gain: Regression Analysis, Calculus, Model Optimization, Mathematical Software, Numerical Analysis, Applied Mathematics, Applied Machine Learning, Linear Algebra, Artificial Neural Networks, Derivatives

    ★ 4.7 (5.8K) · Beginner · Course · 1 - 3 Months

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • L

    LearnQuest

    Practical Machine Learning without Coding

    Skills you'll gain: No-Code Development, Model Training, Model Deployment, Model Optimization, Applied Machine Learning, Machine Learning Software, MLOps (Machine Learning Operations), Machine Learning, Return On Investment, Model Evaluation, Performance Measurement, Business Metrics, Responsible AI, Cloud Deployment, Cloud Computing, Big Data, Scalability, Workflow Management, Continuous Improvement Process, Compliance Management

    Intermediate · Course · 1 - 4 Weeks

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • G

    Google Cloud

    Production Machine Learning Systems - Español

    Skills you'll gain: Google Cloud Platform, Model Deployment, MLOps (Machine Learning Operations), Model Training, Tensorflow, Model Optimization, Systems Architecture, Performance Tuning, Software Architecture, Machine Learning, Distributed Computing, Scalability, Hybrid Cloud Computing, Debugging, Dependency Analysis

    ★ 4.5 (15) · Advanced · Course · 1 - 3 Months

    Category: Credit offered
    Credit offered
  • P

    Pearson

    Learn MLOps for Machine Learning

    Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, DevOps, Data Processing, Model Training, Data Collection, Data Management, Cloud Deployment, Model Evaluation, Machine Learning Methods, Automation, Data Pipelines, Feature Engineering, Continuous Monitoring

    Intermediate · Course · 1 - 4 Weeks

    Category: Credit offered
    Credit offered
  • C

    Coursera

    Satellite Imagery, Remote Sensing & Machine Learning

    Skills you'll gain: Spatial Data Analysis, Spatial Analysis, Geographic Information Systems, Random Forest Algorithm, Model Evaluation, Feature Engineering, Model Training, Matplotlib, Convolutional Neural Networks, Image Analysis, Applied Machine Learning, Plot (Graphics), Supervised Learning, Environmental Monitoring, Geospatial Information and Technology, Scientific Visualization, Predictive Modeling, Deep Learning, Geospatial Mapping, Machine Learning

    Intermediate · Specialization · 3 - 6 Months

    Category: New
    New
    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • F

    Fundação Instituto de Administração

    Machine Learning Aplicado ao Marketing

    Skills you'll gain: Data-Driven Marketing, Big Data, R (Software), Customer experience improvement, Data Mining, Data-Driven Decision-Making, Marketing Automation, Marketing Strategies, Data Visualization, Data Strategy, Customer experience strategy (CX), Digital Transformation, Data Engineering, Marketing Analytics, Data Visualization Software, Plot (Graphics), R Programming, Analytics, Data Science, Marketing

    ★ 4.3 (62) · Beginner · Specialization · 1 - 3 Months

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • P

    Pragmatic AI Labs

    Machine Learning with Databricks and MLflow

    Skills you'll gain: MLOps (Machine Learning Operations), Databricks, Apache Spark, Model Evaluation, Hugging Face, Data Architecture, Recurrent Neural Networks (RNNs), LLM Application, Data Science, Data Mining, Mathematical Modeling, Scala Programming, Continuous Monitoring, Rust (Programming Language), Lean Six Sigma, Statistical Inference, Artificial Intelligence, Functional Testing, Exploratory Data Analysis, Programming Principles

    Intermediate · Course · 1 - 4 Weeks

    Category: New
    New
    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • I

    IBM

    Introduction to Deep Learning & Neural Networks with Keras

    Skills you'll gain: Keras (Neural Network Library), Deep Learning, Transfer Learning, Artificial Neural Networks, Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Model Optimization, Machine Learning Methods, Image Analysis, Applied Machine Learning, Autoencoders, Model Training, Regression Analysis, Network Architecture, Natural Language Processing, Machine Learning

    ★ 4.7 (2.1K) · Intermediate · Course · 1 - 3 Months

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • C

    Coursera

    Interpretable Machine Learning Applications: Part 1

    Skills you'll gain: Model Training, Feature Engineering, Classification And Regression Tree (CART), Decision Tree Learning, Applied Machine Learning, Model Evaluation, Random Forest Algorithm, Responsible AI, Predictive Modeling, Data Preprocessing, Data Import/Export, Machine Learning, Classification Algorithms

    ★ 4.5 (98) · Beginner · Guided Project · Less Than 2 Hours

    Category: Credit offered
    Credit offered
  • E

    Edge Impulse

    Computer Vision with Embedded Machine Learning

    Skills you'll gain: Computer Vision, Convolutional Neural Networks, Image Analysis, Transfer Learning, Artificial Neural Networks, Embedded Systems, Deep Learning, Model Deployment, Data Ethics, Responsible AI, Model Training, Machine Learning, Computer Programming, Classification Algorithms, Model Evaluation, Python Programming

    ★ 4.8 (164) · Intermediate · Course · 1 - 4 Weeks

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • P

    Packt

    Recommender Systems: An Applied Approach using Deep Learning

    Skills you'll gain: Model Evaluation, Deep Learning, Data Preprocessing, Data Wrangling, Data Processing, AI Personalization, Machine Learning Methods, Model Training, Applied Machine Learning, Predictive Modeling, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Model Deployment, Artificial Neural Networks, Embeddings

    Intermediate · Course · 1 - 4 Weeks

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
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In summary, here are 10 of our most popular applied machine learning courses

  • Modelos predictivos con Machine Learning: Universidades Anáhuac
  • Mathematics for Machine Learning: Multivariate Calculus: Imperial College London
  • Practical Machine Learning without Coding: LearnQuest
  • Production Machine Learning Systems - Español: Google Cloud
  • Learn MLOps for Machine Learning: Pearson
  • Satellite Imagery, Remote Sensing & Machine Learning: Coursera
  • Machine Learning Aplicado ao Marketing: Fundação Instituto de Administração
  • Machine Learning with Databricks and MLflow: Pragmatic AI Labs
  • Introduction to Deep Learning & Neural Networks with Keras: IBM
  • Interpretable Machine Learning Applications: Part 1: 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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