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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


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    Whizlabs

    Exam Prep (NCA-GENL): NVIDIA-Certified Generative AI LLMs

    Skills you'll gain: Prompt Engineering, Large Language Modeling, Data Preprocessing, Convolutional Neural Networks, Plot (Graphics), Generative AI, Deep Learning, Unsupervised Learning, Model Evaluation, Natural Language Processing, Responsible AI, Time Series Analysis and Forecasting, Data Visualization, Transfer Learning, Supervised Learning, Data Ethics, Image Analysis, Recurrent Neural Networks (RNNs), Model Deployment, Embeddings

    4.5
    Rating, 4.5 out of 5 stars
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    41 reviews

    Intermediate · Specialization · 3 - 6 Months

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    LearnQuest

    Artificial Intelligence Algorithms Models and Limitations

    Skills you'll gain: Model Evaluation, Predictive Modeling, Data Ethics, Algorithms, Machine Learning, Predictive Analytics, Responsible AI, Artificial Intelligence, Machine Learning Algorithms, AI Enablement, Artificial Intelligence and Machine Learning (AI/ML), Ethical Standards And Conduct, Generative AI, Economics

    4.7
    Rating, 4.7 out of 5 stars
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    520 reviews

    Beginner · Course · 1 - 4 Weeks

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    Whizlabs

    ML Algorithms

    Skills you'll gain: Machine Learning Algorithms, Image Analysis, Reinforcement Learning, Classification Algorithms, Forecasting, Algorithms, AWS SageMaker, Machine Learning, Supervised Learning, Unsupervised Learning, Predictive Modeling, Regression Analysis, Natural Language Processing

    3.7
    Rating, 3.7 out of 5 stars
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    9 reviews

    Beginner · Course · 1 - 4 Weeks

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    University of Michigan

    AI for Mechanical Engineers

    Skills you'll gain: Machine Learning Methods, Artificial Intelligence and Machine Learning (AI/ML), AI Enablement, Precision Medicine, Generative AI, Machine Learning, Artificial Intelligence, Machine Learning Algorithms, Transfer Learning, Biomedical Engineering, Control Systems, Energy and Utilities, Technical Design, Robotics, Deep Learning, Computer Vision, Medical Imaging, Reinforcement Learning, Electric Power Systems, Bioinformatics

    4.4
    Rating, 4.4 out of 5 stars
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    131 reviews

    Intermediate · Specialization · 1 - 3 Months

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    Google Cloud

    Data Engineering, Big Data and ML on Google Cloud en Español

    Skills you'll gain: Model Deployment, Data Lakes, Google Cloud Platform, Data Pipelines, Dataflow, Apache Spark, Apache Kafka, Big Data, Tensorflow, Data Warehousing, Apache Hadoop, Data Architecture, Data Management, Metadata Management, Unstructured Data, Applied Machine Learning, Real Time Data, Extract, Transform, Load, Data Migration, Data Processing

    4.7
    Rating, 4.7 out of 5 stars
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    815 reviews

    Intermediate · Specialization · 3 - 6 Months

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    Packt

    Siemens PLC and TIA Portal Essentials

    Skills you'll gain: Programmable Logic Controllers, Electrical Wiring, Computational Logic, Control Systems, Automation, Simulation and Simulation Software, Human Machine Interfaces, Communication Systems, Applied Mathematics

    Beginner · Course · 1 - 3 Months

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    University of California San Diego

    Data Structures and Algorithms

    Skills you'll gain: Data Structures, Graph Theory, Algorithms, Program Development, Bioinformatics, Data Storage, Development Testing, Theoretical Computer Science, Computational Thinking, Network Analysis, Test Case, Programming Principles, Computer Programming, Python Programming, C and C++, Java, Rust (Programming Language), Javascript, Software Testing, Debugging

    4.6
    Rating, 4.6 out of 5 stars
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    17K reviews

    Intermediate · Specialization · 3 - 6 Months

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    Coursera

    Align AI: Ethics, Strategy & Excellence

    Skills you'll gain: Responsible AI, Data Ethics, Organizational Strategy, AI Enablement, Artificial Intelligence, Strategic Leadership, Cross-Functional Collaboration, Governance, Artificial Intelligence and Machine Learning (AI/ML), Decision Making, Business Ethics, Technology Roadmaps, Data Governance, Enterprise Architecture, Organizational Structure, Strategic Prioritization, Scalability, Risk Analysis, Business Risk Management

    Intermediate · Course · 1 - 4 Weeks

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    DeepLearning.AI

    PyTorch: Fundamentals

    Skills you'll gain: Convolutional Neural Networks, Image Analysis, Data Pipelines, Data Preprocessing, Model Evaluation, Machine Learning

    4.8
    Rating, 4.8 out of 5 stars
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    57 reviews

    Intermediate · Course · 1 - 4 Weeks

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    Coursera

    Strategize, Roadmap, and Mitigate AI Projects

    Skills you'll gain: Applied Machine Learning, Case Studies, Fraud detection, Project Risk Management, Project Planning, Business Ethics, Ethical Standards And Conduct, Law, Regulation, and Compliance, Scalability, Content Strategy, Quality Assessment, Keyword Research, Search Engine Optimization, Content Creation

    Intermediate · Course · 1 - 4 Weeks

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    IBM

    AI Workflow: Data Analysis and Hypothesis Testing

    Skills you'll gain: Data Visualization, Exploratory Data Analysis, Data Presentation, Probability Distribution, Statistical Hypothesis Testing, Dashboard, Data Analysis, Data Science, Probability & Statistics, Statistical Analysis, Jupyter, Matplotlib, Data Preprocessing, Data Cleansing, Pandas (Python Package), Statistical Inference, Statistics, Data Manipulation, Python Programming, Machine Learning

    4.3
    Rating, 4.3 out of 5 stars
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    127 reviews

    Advanced · Course · 1 - 4 Weeks

  • Status: Free Trial
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    Imperial College London

    Customising your models with TensorFlow 2

    Skills you'll gain: Recurrent Neural Networks (RNNs), Tensorflow, Data Pipelines, Keras (Neural Network Library), Transfer Learning, Deep Learning, Convolutional Neural Networks, Natural Language Processing, Embeddings, Model Evaluation

    4.8
    Rating, 4.8 out of 5 stars
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    195 reviews

    Intermediate · Course · 1 - 3 Months

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

  • Exam Prep (NCA-GENL): NVIDIA-Certified Generative AI LLMs: Whizlabs
  • Artificial Intelligence Algorithms Models and Limitations: LearnQuest
  • ML Algorithms: Whizlabs
  • AI for Mechanical Engineers: University of Michigan
  • Data Engineering, Big Data and ML on Google Cloud en Español: Google Cloud
  • Siemens PLC and TIA Portal Essentials: Packt
  • Data Structures and Algorithms: University of California San Diego
  • Align AI: Ethics, Strategy & Excellence: Coursera
  • PyTorch: Fundamentals: DeepLearning.AI
  • Strategize, Roadmap, and Mitigate AI Projects: 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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