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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
    D

    DeepLearning.AI

    Reinforcement Learning from Human Feedback

    Skills you'll gain: Fine-tuning, Large Language Modeling, Model Training, Model Evaluation, Reinforcement Learning, Model Optimization

    4.7
    Rating, 4.7 out of 5 stars
    ·
    36 reviews

    Intermediate · Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    O

    O.P. Jindal Global University

    Machine Learning for Marketing

    Skills you'll gain: Marketing Analytics, Anomaly Detection, Digital Marketing, Data-Driven Marketing, Web Analytics, Digital Advertising, Dimensionality Reduction, Unsupervised Learning, Customer Analysis, Search Engine Marketing, Supervised Learning, Digital Marketing Campaigns, Digital Analysis, Online Advertising, Customer Retention, Digital Marketing Tools, Text Mining, Predictive Analytics, Google Analytics, Data Ethics

    3.8
    Rating, 3.8 out of 5 stars
    ·
    19 reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    P

    Packt

    Core Machine Learning & Evaluation

    Skills you'll gain: Model Evaluation, Supervised Learning, Feature Engineering, Model Training, Applied Machine Learning, Machine Learning Methods, Model Optimization, Machine Learning, Machine Learning Algorithms, Random Forest Algorithm, Regression Analysis, Classification Algorithms, Performance Tuning

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    Dartmouth College

    Foundations for Machine Learning

    Skills you'll gain: Probability & Statistics, Statistical Methods, Classification Algorithms, Calculus

    Build toward a degree

    Intermediate · Course · 1 - 3 Months

  • Status: Free
    Free
    C

    Coursera

    Deep Learning with PyTorch : Image Segmentation

    Skills you'll gain: PyTorch (Machine Learning Library), Model Evaluation, Convolutional Neural Networks, Transfer Learning, Image Analysis, Model Training, Deep Learning, Python Programming

    4.4
    Rating, 4.4 out of 5 stars
    ·
    230 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Preview
    Preview
    W

    Whizlabs

    Fundamentals of Machine Learning

    Skills you'll gain: Supervised Learning, Unsupervised Learning, MLOps (Machine Learning Operations), Model Optimization, Applied Machine Learning, Machine Learning Methods, Model Evaluation, Model Training, Data Preprocessing, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Cloud Computing, Machine Learning Algorithms, Model Deployment, Microsoft Azure, Amazon Web Services, Data Mining, Cloud Solutions, Deep Learning, Data Processing

    Intermediate · Course · 1 - 3 Months

  • Status: New
    New
    P

    Packt

    Machine Learning with R

    Skills you'll gain: Model Evaluation, Classification Algorithms, R Programming, Apache Spark, Deep Learning, Applied Machine Learning, Data Wrangling, Keras (Neural Network Library), Unsupervised Learning, Model Training, Data Manipulation, Machine Learning Algorithms, R (Software), Apache Hadoop, Data Science, Machine Learning, Tidyverse (R Package), Data Analysis, Bayesian Network, Logistic Regression

    Intermediate · Course · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    E

    EDUCBA

    Deep Learning with Python: CNN, ANN & RNN

    Skills you'll gain: Model Evaluation, Convolutional Neural Networks, Model Training, Data Preprocessing, Image Analysis, Predictive Modeling, Deep Learning, Keras (Neural Network Library), Tensorflow, Computer Vision, Artificial Neural Networks, Recurrent Neural Networks (RNNs), Data Transformation, Financial Forecasting, Applied Machine Learning, Model Optimization, Statistical Visualization, Time Series Analysis and Forecasting, Exploratory Data Analysis, Python Programming

    4.6
    Rating, 4.6 out of 5 stars
    ·
    49 reviews

    Beginner · Specialization · 1 - 3 Months

  • Status: New
    New
    Status: Preview
    Preview
    C

    Coursera

    Databricks Machine Learning Quickstart

    Skills you'll gain: Databricks, Model Deployment, MLOps (Machine Learning Operations), Application Deployment, Model Training, Model Evaluation, Feature Engineering, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Performance Testing, AI Workflows, Machine Learning, System Monitoring, Security Controls

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    S

    SAS

    Managing Machine Learning Models

    Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), Model Training, Model Evaluation, Machine Learning Software, Process Modeling, Workflow Management, Predictive Modeling, Governance Risk Management and Compliance, Applied Machine Learning, SAS (Software), Text Mining, R Programming, Performance Analysis, Scheduling

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    B

    British Standards Institution

    Evaluating Machine Learning Classification Models

    Skills you'll gain: Statistical Methods, Statistical Hypothesis Testing, Performance Testing, Statistical Analysis, Supervised Learning, Machine Learning, Data Validation, Statistical Reporting, Technical Communication, Data Quality, Performance Analysis, Test Data, Applied Machine Learning, Probability & Statistics, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence

    Intermediate · Course · 1 - 3 Months

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

    Coursera

    Machine Learning Engineer: ML and Deep Learning Models

    Skills you'll gain: Supervised Learning, Model Optimization, PyTorch (Machine Learning Library), Fine-tuning, Generative Model Architectures, Convolutional Neural Networks, Recurrent Neural Networks (RNNs), Generative AI, Deep Learning, Model Training, Applied Machine Learning, Statistical Machine Learning, Classification And Regression Tree (CART), Autoencoders, Machine Learning Methods, Machine Learning Software, Machine Learning, MLOps (Machine Learning Operations), Machine Learning Algorithms, Artificial Intelligence and Machine Learning (AI/ML)

    Intermediate · Specialization · 3 - 6 Months

1…161718…834

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

  • Reinforcement Learning from Human Feedback: DeepLearning.AI
  • Machine Learning for Marketing: O.P. Jindal Global University
  • Core Machine Learning & Evaluation: Packt
  • Foundations for Machine Learning: Dartmouth College
  • Deep Learning with PyTorch : Image Segmentation: Coursera
  • Fundamentals of Machine Learning: Whizlabs
  • Machine Learning with R: Packt
  • Deep Learning with Python: CNN, ANN & RNN: EDUCBA
  • Databricks Machine Learning Quickstart: Coursera
  • Managing Machine Learning Models: SAS

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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