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  2. 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


  • D

    DeepLearning.AI

    Mathematics for Machine Learning and Data Science

    Skills you'll gain: Descriptive Statistics, Bayesian Statistics, Statistical Hypothesis Testing, Probability & Statistics, Sampling (Statistics), Statistical Methods, Probability Distribution, Linear Algebra, Statistical Inference, Statistics, A/B Testing, Statistical Analysis, Applied Mathematics, Probability, Calculus, Dimensionality Reduction, Exploratory Data Analysis, Machine Learning, Python Programming, Artificial Neural Networks

    4.6 stars, 3.3K reviews, Intermediate, Specialization, 1 - 3 Months

    ★ 4.6 (3.3K) · Intermediate · Specialization · 1 - 3 Months

    Status: Bestseller
    Bestseller
  • D

    DeepLearning.AI

    Machine Learning in Production

    Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), Application Deployment, Model Evaluation, Machine Learning, Applied Machine Learning

    4.8 stars, 3.4K reviews, Intermediate, Course, 1 - 4 Weeks

    ★ 4.8 (3.4K) · Intermediate · Course · 1 - 4 Weeks

  • S

    Simplilearn

    AI ML with Deep Learning and Supervised Models

    Skills you'll gain: Supervised Learning, Data Modeling, Unsupervised Learning, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Data Analysis, Machine Learning Methods, Recurrent Neural Networks (RNNs), Model Deployment, Reinforcement Learning, Artificial Intelligence, Classification Algorithms, Tensorflow, Machine Learning Algorithms, Keras (Neural Network Library), Artificial Neural Networks, Deep Learning, Machine Learning, Decision Tree Learning, Regression Analysis

    3.9 stars, 15 reviews, Beginner, Specialization, 1 - 3 Months

    ★ 3.9 (15) · Beginner · Specialization · 1 - 3 Months

  • C

    Coursera

    Data Preparation & Applied Machine Learning

    Skills you'll gain: Data Preprocessing, Supervised Learning, Model Optimization, Feature Engineering, Pandas (Python Package), Data Wrangling, Exploratory Data Analysis, Data Quality, Model Training, Data Cleansing, Applied Machine Learning, Data Manipulation, Data Transformation, Classification And Regression Tree (CART), Data Analysis, Data Pipelines, Machine Learning, Data Modeling, Data Validation, Data Architecture

    Intermediate · Specialization · 3 - 6 Months

    Category: New
    New
  • N

    New York University

    Machine Learning and Reinforcement Learning in Finance

    Skills you'll gain: Supervised Learning, Machine Learning Methods, Model Evaluation, Reinforcement Learning, Applied Machine Learning, Machine Learning Algorithms, Statistical Methods, Dimensionality Reduction, Unsupervised Learning, Artificial Neural Networks, Decision Tree Learning, Predictive Modeling, Financial Trading, Model Training, Machine Learning, Financial Market, Derivatives, Markov Model, Finance, Tensorflow

    3.7 stars, 826 reviews, Intermediate, Specialization, 3 - 6 Months

    ★ 3.7 (826) · Intermediate · Specialization · 3 - 6 Months

  • U

    University of Pittsburgh

    Applied Bayesian Data Analysis

    Skills you'll gain: Bayesian Statistics, Statistical Modeling, Predictive Analytics, Statistics, Regression Analysis, Predictive Modeling, Statistical Inference, Probability & Statistics, Model Evaluation, Data Analysis, Data Science, Statistical Machine Learning, Statistical Analysis, Statistical Programming, Markov Model, Probability Distribution, Machine Learning Algorithms, Machine Learning, Python Programming, Computational Thinking

    Intermediate · Specialization · 3 - 6 Months

    Category: New
    New
  • A

    Alberta Machine Intelligence Institute

    Introduction to Applied Machine Learning

    Skills you'll gain: Data Preprocessing, Data Ethics, Applied Machine Learning, Machine Learning, Data Collection, Supervised Learning, Business Requirements, Unsupervised Learning, Artificial Intelligence

    4.7 stars, 749 reviews, Intermediate, Course, 1 - 4 Weeks

    ★ 4.7 (749) · Intermediate · Course · 1 - 4 Weeks

  • E

    EDUCBA

    Machine Learning with Python and TensorFlow

    Skills you'll gain: Matplotlib, Feature Engineering, Data Preprocessing, NumPy, Plot (Graphics), Tensorflow, Pandas (Python Package), Data Visualization, Model Training, Statistical Visualization, Data Wrangling, Jupyter, Applied Machine Learning, Seaborn, Statistical Machine Learning, Data Engineering, Machine Learning, Development Environment, Network Model, Network Engineering

    Beginner · Specialization · 1 - 3 Months

    Category: New
    New
  • A

    Alberta Machine Intelligence Institute

    Machine Learning: Algorithms in the Real World

    Skills you'll gain: Supervised Learning, Data Preprocessing, Feature Engineering, Model Optimization, Responsible AI, Machine Learning Algorithms, Data Ethics, Applied Machine Learning, Model Evaluation, Data Quality, Machine Learning Methods, Classification Algorithms, Model Training, MLOps (Machine Learning Operations), Model Deployment, Machine Learning, Decision Tree Learning, Business Operations, Data Cleansing, Project Management

    4.6 stars, 1.1K reviews, Intermediate, Specialization, 3 - 6 Months

    ★ 4.6 (1.1K) · Intermediate · Specialization · 3 - 6 Months

  • I

    IBM

    Applied Data Science

    Skills you'll gain: Data Storytelling, Dashboard Creation, Dashboard, Data Presentation, Plotly, Data Visualization Software, Web Scraping, Data Visualization, Data Wrangling, Plot (Graphics), Exploratory Data Analysis, Model Evaluation, Interactive Data Visualization, Data Cleansing, Data Preprocessing, Data Analysis, Python Programming, Data Science, NumPy, Machine Learning

    4.6 stars, 62K reviews, Beginner, Specialization, 3 - 6 Months

    ★ 4.6 (62K) · Beginner · Specialization · 3 - 6 Months

    Category: Build toward a degree
    Build toward a degree
  • D

    Dartmouth College

    Practical Machine Learning: Foundations to Neural Networks

    Skills you'll gain: Supervised Learning, Logistic Regression, Artificial Neural Networks, Machine Learning Methods, Predictive Modeling, Model Evaluation, Convolutional Neural Networks, Statistical Machine Learning, Probability & Statistics, Bayesian Statistics, Deep Learning, Tensorflow, Artificial Intelligence and Machine Learning (AI/ML), Model Training, Machine Learning, Machine Learning Algorithms, Statistical Methods, Artificial Intelligence, Regression Analysis, Statistical Inference

    4.6 stars, 8 reviews, Intermediate, Specialization, 3 - 6 Months

    ★ 4.6 (8) · Intermediate · Specialization · 3 - 6 Months

    Category: Build toward a degree
    Build toward a degree
  • I

    IBM

    Machine Learning with Python: Build Real-World ML Models

    Skills you'll gain: Unsupervised Learning, Supervised Learning, Model Evaluation, Regression Analysis, Scikit Learn (Machine Learning Library), Machine Learning Methods, Applied Machine Learning, Machine Learning Algorithms, Machine Learning, Dimensionality Reduction, Python Programming, Logistic Regression, Model Optimization

    4.7 stars, 19K reviews, Intermediate, Course, 1 - 3 Months

    ★ 4.7 (19K) · Intermediate · Course · 1 - 3 Months

1234…834

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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