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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 : 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 (228) · Intermediate · Guided Project · Less Than 2 Hours

  • D

    Dartmouth College

    Foundations for Machine Learning

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

    Intermediate · Course · 1 - 3 Months

  • I

    IBM

    IBM Deep Learning with PyTorch, Keras and Tensorflow

    Skills you'll gain: PyTorch (Machine Learning Library), Keras (Neural Network Library), Deep Learning, Convolutional Neural Networks, Reinforcement Learning, Model Optimization, Autoencoders, Generative AI, Artificial Neural Networks, Transfer Learning, Unsupervised Learning, Recurrent Neural Networks (RNNs), Generative Adversarial Networks (GANs), Fine-tuning, Generative Model Architectures, Applied Machine Learning, Image Analysis, Artificial Intelligence and Machine Learning (AI/ML), Tensorflow, Logistic Regression

    ★ 4.5 (4.2K) · Intermediate · Professional Certificate · 3 - 6 Months

  • U

    University of Michigan

    An Introduction to Learning Experience Design (LXD)

    Skills you'll gain: Program Evaluation, Course Development, Web Content Accessibility Guidelines, Educational Materials, Multimedia, Instructional Design, Learning Theory, Design, Disabilities, Education Software and Technology, Professional Development, Brainstorming, Needs Assessment, Diversity Awareness, Content Creation, Motivational Skills, Diversity Equity and Inclusion Initiatives, Prototyping, Design Strategies, Student-Centred Learning

    ★ 4.8 (127) · Beginner · Specialization · 1 - 3 Months

  • 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

  • I

    Imperial College London

    Mathematics for Machine Learning: PCA

    Skills you'll gain: Dimensionality Reduction, NumPy, Unsupervised Learning, Statistical Methods, Descriptive Statistics, Jupyter, Statistics, Geometry, Linear Algebra, Data Transformation, Python Programming, Advanced Mathematics, Applied Mathematics, Calculus

    ★ 4 (3.2K) · Intermediate · Course · 1 - 4 Weeks

  • I

    IBM

    Machine Learning with Apache Spark

    Skills you'll gain: Apache Spark, Machine Learning, Generative AI, Model Evaluation, Supervised Learning, Apache Hadoop, Data Pipelines, Unsupervised Learning, Data Processing, Extract, Transform, Load, Predictive Modeling, Model Deployment, Classification Algorithms, Data Transformation, Regression Analysis

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

  • L

    LearnQuest

    Machine Learning for Supply Chains

    Skills you'll gain: Image Analysis, Exploratory Data Analysis, Time Series Analysis and Forecasting, Data Wrangling, Model Evaluation, Data Preprocessing, Operations Research, Model Training, NumPy, Demand Planning, Feature Engineering, Supervised Learning, Inventory Management System, Supply Chain, Applied Machine Learning, Trend Analysis, Data Visualization, Machine Learning, Data Science, Data Analysis

    ★ 3.4 (86) · Intermediate · Specialization · 3 - 6 Months

  • 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 (33) · Intermediate · Project · Less Than 2 Hours

  • C

    Coursera

    GenAI for Learning and Development

    Skills you'll gain: Responsible AI, Microsoft Copilot, Generative AI, AI Enablement, Training and Development, ChatGPT, Education Software and Technology, Training Programs, Developing Training Materials, AI Integrations, Innovation, Ethical Standards And Conduct, Case Studies, Automation

    ★ 4.4 (10) · Intermediate · Course · 1 - 4 Weeks

  • G

    Google Cloud

    Machine Learning in the Enterprise

    Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), Model Training, Google Cloud Platform, AI Workflows, Data Management, Data Governance, Machine Learning Methods, Machine Learning Software, Model Optimization, Workflow Management, Data Store, Tensorflow, Data Preprocessing, Applied Machine Learning, Data Pipelines, Machine Learning, Predictive Modeling, Cloud Computing

    ★ 4.6 (1.5K) · Intermediate · Course · 1 - 3 Months

  • C

    CertNexus

    Follow a Machine Learning Workflow

    Skills you'll gain: Data Preprocessing, Data Analysis, Model Training, Data Collection, AI Workflows, MLOps (Machine Learning Operations), Statistical Analysis, Model Deployment, Data Processing, Data Cleansing, Applied Machine Learning, Predictive Modeling, Machine Learning, Model Evaluation, Descriptive Statistics, Machine Learning Algorithms, Process Management

    ★ 4.7 (21) · Intermediate · Course · 1 - 3 Months

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

  • Deep Learning with PyTorch : Image Segmentation : Coursera
  • Foundations for Machine Learning: Dartmouth College
  • IBM Deep Learning with PyTorch, Keras and Tensorflow: IBM
  • An Introduction to Learning Experience Design (LXD): University of Michigan
  • Managing Machine Learning Models: SAS
  • Mathematics for Machine Learning: PCA: Imperial College London
  • Machine Learning with Apache Spark: IBM
  • Machine Learning for Supply Chains: LearnQuest
  • Reinforcement Learning from Human Feedback: DeepLearning.AI
  • GenAI for Learning and Development: 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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