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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
    Preview
    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

  • Status: Free Trial
    Free Trial
    I

    IBM

    Generative AI: Prompt Engineering Basics

    Skills you'll gain: Prompt Engineering, Prompt Patterns, ChatGPT, Generative AI, AI Workflows, Context Management, Decision Making

    4.8
    Rating, 4.8 out of 5 stars
    ·
    7.7K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Custom Models, Layers, and Loss Functions with TensorFlow

    Skills you'll gain: Tensorflow, Transfer Learning, Deep Learning, Keras (Neural Network Library), Convolutional Neural Networks, Artificial Neural Networks, Model Evaluation

    4.9
    Rating, 4.9 out of 5 stars
    ·
    1.1K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    D

    DeepLearning.AI

    Нейронные сети и глубокое обучение

    Skills you'll gain: Deep Learning, Artificial Neural Networks, Supervised Learning, Artificial Intelligence, Convolutional Neural Networks, Computer Vision, Recurrent Neural Networks (RNNs), Machine Learning

    4.1
    Rating, 4.1 out of 5 stars
    ·
    16 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    C

    Coursera

    GenAI for Data Scientists

    Skills you'll gain: Generative AI, Responsible AI, Data Ethics, Data Quality, Data Strategy, AI Enablement, Applied Machine Learning, Exploratory Data Analysis, Machine Learning, Machine Learning Methods

    4.6
    Rating, 4.6 out of 5 stars
    ·
    11 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    V

    Vanderbilt University

    Introduction to Data, Signal, and Image Analysis with MATLAB

    Skills you'll gain: Image Analysis, Data Visualization Software, Matlab, Applied Machine Learning, Scatter Plots, Digital Signal Processing, Data Analysis, Histogram, Predictive Modeling, Data Processing, Classification Algorithms, Regression Analysis

    4.7
    Rating, 4.7 out of 5 stars
    ·
    230 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    M

    Microsoft

    Data Analysis and Visualization with Python

    Skills you'll gain: Generative AI, Matplotlib, Plotly, Data Ethics, Data Visualization, Data Cleansing, Data Manipulation, Exploratory Data Analysis, Pandas (Python Package), Data Transformation, Interactive Data Visualization, Data Visualization Software, Data Storytelling, Data Analysis, Scikit Learn (Machine Learning Library), Jupyter, Python Programming, Machine Learning, Model Evaluation

    4.4
    Rating, 4.4 out of 5 stars
    ·
    94 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Data Engineering, Big Data and ML on Google Cloud 日本語版

    Skills you'll gain: Tensorflow, Dataflow, Google Cloud Platform, Data Pipelines, Data Import/Export, Feature Engineering, Real Time Data, Applied Machine Learning, Data Lakes, Apache Spark, Dashboard, Data Warehousing, Extract, Transform, Load, Model Deployment, Big Data, Data Infrastructure, Data Migration, Unstructured Data, MLOps (Machine Learning Operations), PySpark

    4.4
    Rating, 4.4 out of 5 stars
    ·
    289 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    M

    Macquarie University

    Cyber Security: Security of AI

    Skills you'll gain: AI Security, Responsible AI, Cyber Security Strategy, Cyber Attacks, Cyber Threat Intelligence, Cybersecurity, Data Security, DevSecOps, Security Engineering, Artificial Intelligence, Threat Modeling, Cyber Governance, Artificial Intelligence and Machine Learning (AI/ML), Risk Management, Encryption, Application Programming Interface (API), Machine Learning, Governance, Regulation and Legal Compliance, Applied Machine Learning

    4.6
    Rating, 4.6 out of 5 stars
    ·
    10 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Toronto

    State Estimation and Localization for Self-Driving Cars

    Skills you'll gain: Global Positioning Systems, Estimation, Robotics, Deep Learning, Machine Learning Methods, Computer Vision, Control Systems, Mathematical Modeling, Applied Mathematics, Linear Algebra

    4.7
    Rating, 4.7 out of 5 stars
    ·
    838 reviews

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    Status: AI skills
    AI skills
    G

    Google

    Google Cybersecurity

    Skills you'll gain: Threat Modeling, Network Security, Threat Management, Vulnerability Management, Intrusion Detection and Prevention, Hardening, Computer Security Incident Management, Security Management, Cyber Threat Intelligence, Cyber Attacks, Incident Response, Cybersecurity, Network Protocols, Threat Detection, Bash (Scripting Language), Debugging, Linux, Interviewing Skills, Python Programming, SQL

    Build toward a degree

    4.8
    Rating, 4.8 out of 5 stars
    ·
    62K reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of Illinois Urbana-Champaign

    Cloud Computing Applications, Part 2: Big Data and Applications in the Cloud

    Skills you'll gain: Big Data, Apache Spark, Apache Hadoop, Apache Mahout, Distributed Computing, Data Storage, Data Processing, NoSQL, Apache Kafka, Real Time Data, Cloud Computing, Databases, Analytics, Deep Learning, Scalability, Machine Learning Algorithms, Graph Theory, Machine Learning

    4.3
    Rating, 4.3 out of 5 stars
    ·
    342 reviews

    Mixed · Course · 1 - 3 Months

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

  • 신경망 및 딥 러닝: DeepLearning.AI
  • Generative AI: Prompt Engineering Basics: IBM
  • Custom Models, Layers, and Loss Functions with TensorFlow: DeepLearning.AI
  • Нейронные сети и глубокое обучение: DeepLearning.AI
  • GenAI for Data Scientists: Coursera
  • Introduction to Data, Signal, and Image Analysis with MATLAB: Vanderbilt University
  • Data Analysis and Visualization with Python: Microsoft
  • Data Engineering, Big Data and ML on Google Cloud 日本語版: Google Cloud
  • Cyber Security: Security of AI: Macquarie University
  • State Estimation and Localization for Self-Driving Cars: University of Toronto

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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