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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


  • D

    DeepLearning.AI

    Natural Language Processing with Classification and Vector Spaces

    Skills you'll gain: Natural Language Processing, Supervised Learning, Embeddings, Dimensionality Reduction, Machine Learning Methods, Text Mining, Statistical Machine Learning, Classification Algorithms, Feature Engineering, Probability & Statistics

    4.6
    Rating, 4.6 out of 5 stars
    ·
    4.6K reviews

    Intermediate · Course · 1 - 4 Weeks

  • A

    Arizona State University

    商务英语课程:市场与营销英语 Marketing & Sales

    Skills you'll gain: Marketing Materials, Verbal Communication Skills, Presentations, Marketing, Persuasive Communication, Advertising, Marketing Communications, Business Writing, Influencing, Business Marketing, Graphic Design, Sales, Business Communication, Data Visualization, Market Research, Brainstorming

    5
    Rating, 5 out of 5 stars
    ·
    8 reviews

    Intermediate · Course · 1 - 3 Months

  • G

    Google Cloud

    Digital Transformation Using AI/ML with Google Cloud

    Skills you'll gain: Business Transformation, Innovation, Digital Transformation, Serverless Computing, Cloud Services, Data Ethics, Cloud Infrastructure, Google Cloud Platform, Application Programming Interface (API), Technology Strategies, Applied Machine Learning, Hybrid Cloud Computing, Data Strategy, Image Analysis, Infrastructure As A Service (IaaS), Responsible AI, Cloud Computing, Cloud Solutions, Public Cloud, Containerization

    4.7
    Rating, 4.7 out of 5 stars
    ·
    7.6K reviews

    Beginner · Specialization · 1 - 3 Months

  • P

    Packt

    AI Engineer Associate

    Skills you'll gain: Model Deployment, Model Evaluation, Unsupervised Learning, Transfer Learning, Tensorflow, Keras (Neural Network Library), Dimensionality Reduction, Deep Learning, Recurrent Neural Networks (RNNs), Applied Machine Learning, BeeAI, Data Preprocessing, Convolutional Neural Networks, PyTorch (Machine Learning Library), Responsible AI, Python Programming, Agentic systems, Artificial Intelligence, Artificial Neural Networks, Feature Engineering

    Intermediate · Specialization · 1 - 3 Months

  • I

    IBM

    IBM AI Foundations for Business

    Skills you'll gain: Responsible AI, Data Literacy, AI Enablement, Data Mining, AI Product Strategy, Generative AI, Big Data, Information Architecture, Strategic Decision-Making, Enterprise Architecture, Cloud Computing, Data Analysis, Data Science, Digital Transformation, Natural Language Processing, Data-Driven Decision-Making, Data Architecture, Robotics, Business Logic, Leadership

    4.7
    Rating, 4.7 out of 5 stars
    ·
    99K reviews

    Beginner · Specialization · 1 - 3 Months

  • I

    IBM

    Generative AI for Human Resources (HR) Professionals

    Skills you'll gain: Prompt Engineering, Prompt Patterns, ChatGPT, Generative AI, Responsible AI, HR Tech, Human Resources Management and Planning, Human Resources, Workforce Planning, Human Resource Strategy, LLM Application, AI Enablement, Real Time Data, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, AI Workflows, AI Personalization, Employee Engagement, Recruitment, Machine Learning

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

    Intermediate · Specialization · 1 - 3 Months

  • S

    Sungkyunkwan University

    Korean 101: Essential Expressions

    Skills you'll gain: Language Competency, Language Learning, Vocabulary, Culture, Literacy

    Beginner · Course · 1 - 3 Months

  • P

    Packt

    Modern Graph Theory Algorithms with Python

    Skills you'll gain: Graph Theory, Network Analysis, Social Network Analysis, NoSQL, Data Science, Query Languages, Visualization (Computer Graphics), Applied Machine Learning, Data Transformation, Big Data, Python Programming, Spatial Data Analysis, Advanced Analytics, Deep Learning, Machine Learning, Machine Learning Algorithms, Time Series Analysis and Forecasting, Simulations

    Intermediate · Course · 3 - 6 Months

  • C

    Coursera

    Build Predictive & Supervised Models

    Skills you'll gain: MLOps (Machine Learning Operations), Model Evaluation, Business Metrics, Feature Engineering, Predictive Modeling, Random Forest Algorithm, Supervised Learning, Scikit Learn (Machine Learning Library), Data Preprocessing, Applied Machine Learning, Performance Metric, Regression Analysis, Continuous Monitoring, Statistical Methods, Algorithms

    Intermediate · Course · 1 - 4 Weeks

  • I

    IBM

    IBM & Darden Digital Strategy

    Skills you'll gain: Data Storytelling, Digital Transformation, Business Strategy, Cloud Computing Architecture, Data Wrangling, Competitive Analysis, Cloud Services, Data Presentation, Cloud Deployment, Business Transformation, Responsible AI, Cloud Security, Cloud Infrastructure, Big Data, Cloud Platforms, Data Analysis, Cloud Computing, Data Cleansing, Generative AI, Data Science

    4.7
    Rating, 4.7 out of 5 stars
    ·
    51K reviews

    Beginner · Specialization · 3 - 6 Months

  • A

    Arizona State University

    商务英语课程:财经英语 Finance & Economics

    Skills you'll gain: Purchasing, English Language, Business Communication, Business Writing, Auditing, Negotiation, Business Ethics, Verbal Communication Skills, Forecasting, Budgeting, Influencing, Financial Acumen, Literacy, Vocabulary

    4.8
    Rating, 4.8 out of 5 stars
    ·
    10 reviews

    Intermediate · Course · 1 - 3 Months

  • I

    IBM

    Generative AI for Mobile App Developers

    Skills you'll gain: Prompt Engineering, Prompt Patterns, ChatGPT, Generative AI, Data Ethics, AI Personalization, Mobile Development, Software Design, Anthropic Claude, LLM Application, Software Architecture, Apple iOS, AI Product Strategy, Machine Learning Methods, Continuous Integration, Software Design Patterns, Software Development, Application Design, Real Time Data, Artificial Intelligence and Machine Learning (AI/ML)

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

    Advanced · Specialization · 3 - 6 Months

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

  • Natural Language Processing with Classification and Vector Spaces: DeepLearning.AI
  • 商务英语课程:市场与营销英语 Marketing & Sales: Arizona State University
  • Digital Transformation Using AI/ML with Google Cloud: Google Cloud
  • AI Engineer Associate: Packt
  • IBM AI Foundations for Business: IBM
  • Generative AI for Human Resources (HR) Professionals: IBM
  • Korean 101: Essential Expressions: Sungkyunkwan University
  • Modern Graph Theory Algorithms with Python: Packt
  • Build Predictive & Supervised Models: Coursera
  • IBM & Darden Digital Strategy: IBM

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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