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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.


More to explore:

Popular Applied Machine Learning Courses and Certifications


  • Status: Preview
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    Y

    Yale University

    Introduction to Psychology

    Skills you'll gain: Psychology, Child Development, Psychiatry, Mental Health, Human Development, Human Learning, Social Sciences, Behavioral Health, Sociology, Neurology, Critical Thinking, Scientific Methods, Problem Solving

    4.9
    Rating, 4.9 out of 5 stars
    ·
    32K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    P

    Packt

    Building and Training Neural Networks with PyTorch

    Skills you'll gain: Recurrent Neural Networks (RNNs), PyTorch (Machine Learning Library), Convolutional Neural Networks, Deep Learning, Classification Algorithms, Transfer Learning, Applied Machine Learning, Image Analysis, Model Evaluation, Artificial Neural Networks, Computer Vision, Data Preprocessing

    4.9
    Rating, 4.9 out of 5 stars
    ·
    9 reviews

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    Object Localization with TensorFlow

    Skills you'll gain: Tensorflow, Keras (Neural Network Library), Data Synthesis, Convolutional Neural Networks, Image Analysis, Computer Vision, Artificial Neural Networks, Model Evaluation, Applied Machine Learning, Deep Learning, Machine Learning, Python Programming

    4.3
    Rating, 4.3 out of 5 stars
    ·
    116 reviews

    Intermediate · Guided Project · Less Than 2 Hours

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

    Coursera

    Design & Secure LLM APIs for Scalability

    Skills you'll gain: API Design, Cloud API, Amazon CloudWatch, AI Security, Cloud Management, Security Controls, Application Performance Management, Redis, Load Balancing, Performance Testing, Network Monitoring, Incident Response, MLOps (Machine Learning Operations), GitHub, Python Programming, Machine Learning

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    Generative AI Engineering with LLMs

    Skills you'll gain: Prompt Engineering, Large Language Modeling, Generative AI, Retrieval-Augmented Generation, Generative Model Architectures, PyTorch (Machine Learning Library), Vector Databases, LLM Application, Generative Adversarial Networks (GANs), Embeddings, Natural Language Processing, Hugging Face, Transfer Learning, Data Pipelines, Recurrent Neural Networks (RNNs), Data Ethics, Data Preprocessing, Artificial Intelligence, Text Mining, Performance Tuning

    4.5
    Rating, 4.5 out of 5 stars
    ·
    837 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Preview
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    U

    University of Michigan

    Llama for Python Programmers

    Skills you'll gain: LLM Application, Large Language Modeling, Prompt Engineering, Generative AI, Applied Machine Learning, Python Programming, Open Source Technology, JSON

    4.7
    Rating, 4.7 out of 5 stars
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    19 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    M

    Microsoft

    Perform data science with Azure Databricks

    Skills you'll gain: PySpark, Databricks, Apache Spark, MLOps (Machine Learning Operations), Microsoft Azure, Big Data, Data Processing, Deep Learning, Data Transformation, Model Deployment, Machine Learning Software, Model Evaluation, Machine Learning, Distributed Computing, Exploratory Data Analysis, Regression Analysis

    3.2
    Rating, 3.2 out of 5 stars
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    78 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Feature Engineering en Español

    Skills you'll gain: Feature Engineering, Data Preprocessing, Dataflow, Tensorflow, Applied Machine Learning, Data Transformation, Keras (Neural Network Library), Data Pipelines, Data Modeling, Machine Learning, Python Programming, Statistical Methods

    4.4
    Rating, 4.4 out of 5 stars
    ·
    37 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    AI and Climate Change

    Skills you'll gain: Model Evaluation, Applied Machine Learning, Image Analysis, Environmental Monitoring, Convolutional Neural Networks, Artificial Intelligence, Climate Change Mitigation, Artificial Neural Networks, Forecasting, Computer Vision, Predictive Modeling, Data Preprocessing, Environmental Science, Supervised Learning

    4.8
    Rating, 4.8 out of 5 stars
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    139 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
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    D

    DeepLearning.AI

    PyTorch: Techniques and Ecosystem Tools

    Skills you'll gain: Transfer Learning, Embeddings, Model Evaluation, Convolutional Neural Networks, Data Preprocessing, Model Deployment

    5
    Rating, 5 out of 5 stars
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    11 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
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    I

    IBM

    Generative AI for UI UX Design

    Skills you'll gain: Prompt Engineering, Prompt Patterns, ChatGPT, Generative AI, Design Research, Persona (User Experience), User Interface and User Experience (UI/UX) Design, Design Software, AI Workflows, User Interface (UI) Design, Brainstorming, Prototyping, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Large Language Modeling, Human Centered Design, User Story, Wireframing, Deep Learning, Ideation

    4.7
    Rating, 4.7 out of 5 stars
    ·
    11K reviews

    Beginner · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    GPU Programming

    Skills you'll gain: Artificial Neural Networks, Image Analysis, Program Development, Scalability, Deep Learning, C and C++, Software Development, Convolutional Neural Networks, C++ (Programming Language), Performance Tuning, Digital Signal Processing, Linear Algebra, Distributed Computing, Computer Graphics, System Programming, Mathematical Software, Programming Principles, OS Process Management, Data Structures, Machine Learning

    Build toward a degree

    2.8
    Rating, 2.8 out of 5 stars
    ·
    183 reviews

    Intermediate · Specialization · 3 - 6 Months

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

  • Introduction to Psychology : Yale University
  • Building and Training Neural Networks with PyTorch: Packt
  • Object Localization with TensorFlow: Coursera
  • Design & Secure LLM APIs for Scalability: Coursera
  • Generative AI Engineering with LLMs: IBM
  • Llama for Python Programmers: University of Michigan
  • Perform data science with Azure Databricks: Microsoft
  • Feature Engineering en Español: Google Cloud
  • AI and Climate Change: DeepLearning.AI
  • PyTorch: Techniques and Ecosystem Tools: DeepLearning.AI

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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