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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


  • I

    IBM

    AI Workflow: Feature Engineering and Bias Detection

    Skills you'll gain: Feature Engineering, Data Ethics, Unsupervised Learning, Dimensionality Reduction, Responsible AI, Text Mining, Data Preprocessing, Data Transformation, MLOps (Machine Learning Operations), Anomaly Detection, Exploratory Data Analysis, Machine Learning Methods, Machine Learning, Model Evaluation, Natural Language Processing, Data Science, Quality Assurance, Data Pipelines, Data Visualization, Python Programming

    4.4
    Rating, 4.4 out of 5 stars
    ·
    77 reviews

    Advanced · Course · 1 - 4 Weeks

  • U

    University of California, Davis

    The Growth Mindset

    Skills you'll gain: Growth Mindedness, Willingness To Learn, Lifelong Learning, Positivity, Professional Development, Persistence, Innovation, Organizational Change, Adaptability, Cognitive flexibility, Resilience, Personal Development, Leadership Development, Self-Awareness, Growth Strategies, Collaboration

    4.8
    Rating, 4.8 out of 5 stars
    ·
    1.4K reviews

    Beginner · Course · 1 - 4 Weeks

  • D

    DeepLearning.AI

    신경망 및 딥 러닝

    Skills you'll gain: Deep Learning, Artificial Neural Networks, Convolutional Neural Networks, Supervised Learning, Applied Machine Learning, Computer Vision, Recurrent Neural Networks (RNNs), Machine Learning, NumPy, Performance Tuning, Linear Algebra

    5
    Rating, 5 out of 5 stars
    ·
    6 reviews

    Intermediate · Course · 1 - 4 Weeks

  • U

    University of Colorado Boulder

    Optical Engineering

    Skills you'll gain: Electrical Engineering, electromagnetics, Performance Tuning, Image Quality, Engineering, Scientific, and Technical Instruments, Simulation and Simulation Software, Engineering Calculations, Design Software, Image Analysis, Engineering Analysis, Computer-Aided Design, Engineering Design Process, Numerical Analysis, Electronic Components, System Design and Implementation, Systems Design, Human Factors, Applied Mathematics, Physics, System Configuration

    Build toward a degree

    4.3
    Rating, 4.3 out of 5 stars
    ·
    377 reviews

    Advanced · Specialization · 3 - 6 Months

  • S

    SAS

    Statistical Thinking for Industrial Problem Solving, presented by JMP

    Skills you'll gain: Exploratory Data Analysis, Data Compilation, Correlation Analysis, Data Collection, Statistical Inference, Statistics, Statistical Methods, Statistical Modeling, Predictive Modeling, Data Analysis, Statistical Hypothesis Testing, Data-Driven Decision-Making, Regression Analysis, Statistical Analysis, Probability & Statistics, Descriptive Statistics, Data Visualization

    4.8
    Rating, 4.8 out of 5 stars
    ·
    99 reviews

    Beginner · Course · 1 - 3 Months

  • L

    LearnQuest

    Neural Networks and Random Forests

    Skills you'll gain: Model Evaluation, Random Forest Algorithm, Keras (Neural Network Library), Tensorflow, Deep Learning, Artificial Neural Networks, Decision Tree Learning, Scikit Learn (Machine Learning Library), Machine Learning, Regression Analysis, Classification Algorithms, Python Programming

    3.3
    Rating, 3.3 out of 5 stars
    ·
    17 reviews

    Intermediate · Course · 1 - 4 Weeks

  • U

    Universitat Autònoma de Barcelona

    Digital Systems: From Logic Gates to Processors

    Skills you'll gain: Computer Architecture, Systems Design, Technical Design, Application Specific Integrated Circuits, Digital Design, Hardware Architecture, Computer Hardware, Verification And Validation

    4.3
    Rating, 4.3 out of 5 stars
    ·
    858 reviews

    Intermediate · Course · 1 - 3 Months

  • R

    Rice University

    Global Financial Markets and Instruments

    Skills you'll gain: Financial Market, Investments, Securities (Finance), Financial Systems, Investment Management, Securities Trading, Capital Markets, Equities, Finance, Financial Services, Market Liquidity, Asset Management, Portfolio Management, Derivatives, Fixed Asset, Cash Flows

    4.5
    Rating, 4.5 out of 5 stars
    ·
    2.2K reviews

    Mixed · Course · 1 - 4 Weeks

  • U

    University of Pennsylvania

    Single Variable Calculus

    Skills you'll gain: Calculus, Numerical Analysis, Applied Mathematics, Engineering Calculations, Integral Calculus, Engineering Analysis, Differential Equations, Mathematical Theory & Analysis, Advanced Mathematics, Estimation, Derivatives

    4.6
    Rating, 4.6 out of 5 stars
    ·
    463 reviews

    Mixed · Course · 1 - 3 Months

  • U

    University of London

    모두를 위한 머신 러닝

    Skills you'll gain: Applied Machine Learning, Model Evaluation, Artificial Intelligence, Machine Learning, Computer Vision, Data Preprocessing

    4.7
    Rating, 4.7 out of 5 stars
    ·
    12 reviews

    Beginner · Course · 1 - 4 Weeks

  • P

    Politecnico di Milano

    Artificial Intelligence: An Overview

    Skills you'll gain: Artificial Intelligence, Taxonomy, AI Enablement, Computer Vision, Machine Learning, Natural Language Processing, Deep Learning, Robotics

    4.5
    Rating, 4.5 out of 5 stars
    ·
    201 reviews

    Beginner · Course · 1 - 3 Months

  • R

    Rice University

    Physics 102 - Electric Charges and Fields

    Skills you'll gain: Basic Electrical Systems, electromagnetics, Electrical Engineering, Physics, Mechanics, Calculus, Engineering Calculations, Mathematical Modeling, Trigonometry, Problem Solving, Applied Mathematics

    4.7
    Rating, 4.7 out of 5 stars
    ·
    200 reviews

    Intermediate · Course · 1 - 4 Weeks

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

  • AI Workflow: Feature Engineering and Bias Detection: IBM
  • The Growth Mindset: University of California, Davis
  • 신경망 및 딥 러닝: DeepLearning.AI
  • Optical Engineering: University of Colorado Boulder
  • Statistical Thinking for Industrial Problem Solving, presented by JMP: SAS
  • Neural Networks and Random Forests: LearnQuest
  • Digital Systems: From Logic Gates to Processors: Universitat Autònoma de Barcelona
  • Global Financial Markets and Instruments: Rice University
  • Single Variable Calculus: University of Pennsylvania
  • 모두를 위한 머신 러닝: University of London

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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