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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


  • E

    EDUCBA

    Linear Regression & Supervised Learning in Python

    Skills you'll gain: Model Evaluation, Exploratory Data Analysis, Regression Analysis, Predictive Modeling, Supervised Learning, Scikit Learn (Machine Learning Library), Data Analysis, Correlation Analysis, Applied Machine Learning, Scatter Plots, Statistical Analysis, Data Validation, Data Preprocessing, NumPy, Pandas (Python Package), Box Plots, Histogram

    4.6
    Rating, 4.6 out of 5 stars
    ·
    14 reviews

    Mixed · Course · 1 - 4 Weeks

  • U

    University of Michigan

    AI for Lawyers: Learning and Leading

    Skills you'll gain: Critical Thinking, Legal Technology, AI Enablement, Artificial Intelligence, Communication, Lifelong Learning, Professional Development, Constructive Feedback, Leadership, Adaptability, Creativity, Decision Making, Generative AI

    4.4
    Rating, 4.4 out of 5 stars
    ·
    27 reviews

    Beginner · Course · 1 - 4 Weeks

  • S

    Simplilearn

    Q Learning in Reinforcement Training Basics

    Skills you'll gain: Reinforcement Learning, Model Evaluation

    Beginner · Course · 1 - 4 Weeks

  • C

    Coursera

    Deep Learning with PyTorch : Generative Adversarial Network

    Skills you'll gain: Generative Adversarial Networks (GANs), PyTorch (Machine Learning Library), Deep Learning, Convolutional Neural Networks, Image Analysis, Python Programming

    4.5
    Rating, 4.5 out of 5 stars
    ·
    99 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • P

    Packt

    Deep Learning - Artificial Neural Networks with TensorFlow

    Skills you'll gain: Tensorflow, Artificial Neural Networks, Deep Learning, Keras (Neural Network Library), Recurrent Neural Networks (RNNs), Classification Algorithms, Image Analysis, Convolutional Neural Networks, Supervised Learning, Machine Learning Algorithms, Machine Learning, Model Evaluation, NumPy, Regression Analysis

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    Use Wakelet to Curate Learning Collections

    Skills you'll gain: Learning Management Systems, Information Architecture, Education Software and Technology, Content Management

    Beginner · Guided Project · Less Than 2 Hours

  • C

    Coursera

    Launch an auto-scaling AWS EC2 virtual machine

    Skills you'll gain: Amazon Elastic Compute Cloud, Amazon Web Services, Virtual Machines, Infrastructure As A Service (IaaS), Cloud Infrastructure, Scalability

    4.6
    Rating, 4.6 out of 5 stars
    ·
    57 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • U

    University of Michigan

    Learning Experience Design: Orientation to the Profession

    Skills you'll gain: Instructional Design, Learning Theory, Design, Education Software and Technology, Professional Development, Diversity Equity and Inclusion Initiatives, User Centered Design, Emerging Technologies

    4.8
    Rating, 4.8 out of 5 stars
    ·
    82 reviews

    Beginner · Course · 1 - 4 Weeks

  • U

    University of Michigan

    Generative AI as a Learning Design Partner

    Skills you'll gain: Generative AI, Responsible AI, Prompt Engineering, ChatGPT, Instructional Design, LLM Application, Ideation, Education Software and Technology, Brainstorming, Design Strategies, Artificial Intelligence, Content Creation, Data Ethics, Creative Design, Emerging Technologies, Persona Development, Professional Development, digital literacy

    4.7
    Rating, 4.7 out of 5 stars
    ·
    79 reviews

    Beginner · Specialization · 1 - 3 Months

  • C

    Coursera

    Optimize Deep Learning: Tune PyTorch Models

    Skills you'll gain: Model Deployment, Model Evaluation, PyTorch (Machine Learning Library), Transfer Learning, Performance Tuning, Debugging, MLOps (Machine Learning Operations), Deep Learning, Scalability, Artificial Neural Networks

    Intermediate · Course · 1 - 4 Weeks

  • P

    Packt

    Deep Learning with Keras and Practical Applications

    Skills you'll gain: Exploratory Data Analysis, Model Deployment, Keras (Neural Network Library), Transfer Learning, Data Analysis, Data Preprocessing, Image Analysis, Deep Learning, Classification Algorithms, Applied Machine Learning, Computer Vision, Model Evaluation, Machine Learning, Performance Tuning

    Intermediate · Course · 3 - 6 Months

  • E

    EDUCBA

    Deep Learning: Build & Optimize Neural Networks

    Skills you'll gain: Feature Engineering, Deep Learning, PyTorch (Machine Learning Library), Convolutional Neural Networks, Natural Language Processing, Data Preprocessing, Artificial Neural Networks, Transfer Learning, Recurrent Neural Networks (RNNs), Artificial Intelligence, Computer Vision, Jupyter, Predictive Modeling, Machine Learning, Model Evaluation, Data Transformation

    Mixed · Course · 1 - 3 Months

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

  • Linear Regression & Supervised Learning in Python: EDUCBA
  • AI for Lawyers: Learning and Leading: University of Michigan
  • Q Learning in Reinforcement Training Basics: Simplilearn
  • Deep Learning with PyTorch : Generative Adversarial Network: Coursera
  • Deep Learning - Artificial Neural Networks with TensorFlow: Packt
  • Use Wakelet to Curate Learning Collections: Coursera
  • Launch an auto-scaling AWS EC2 virtual machine: Coursera
  • Learning Experience Design: Orientation to the Profession: University of Michigan
  • Generative AI as a Learning Design Partner: University of Michigan
  • Optimize Deep Learning: Tune PyTorch Models: 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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