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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


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    IBM

    Generative AI for IT Systems Analysts and Architects

    Skills you'll gain: Prompt Engineering, Prompt Patterns, Generative AI, Systems Analysis, AI Workflows, Business Analysis, Systems Architecture, Solution Architecture, Business Process Automation, Stakeholder Analysis, Prototyping, Software Architecture, Consulting, Systems Thinking, Responsible AI, Machine Learning, Business Communication, Project Documentation, Stakeholder Communications, Technical Consulting

    4.7
    Rating, 4.7 out of 5 stars
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    11K reviews

    Beginner · Specialization · 1 - 3 Months

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    University of Pennsylvania

    Application of AI, InsurTech, and Real Estate Technology

    Skills you'll gain: FinTech, Emerging Technologies, Market Analysis, Fraud detection, Real Estate, Real Time Data, Insurance, Property and Real Estate, Artificial Intelligence, Market Trend, Machine Learning, Commercial Real Estate, Financial Sales, Case Studies, Customer experience improvement, Automation

    4.6
    Rating, 4.6 out of 5 stars
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    586 reviews

    Mixed · Course · 1 - 4 Weeks

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    Saïd Business School, University of Oxford

    AI Fundamentals in Financial Services

    Skills you'll gain: Financial Services, Artificial Intelligence, FinTech, Financial Regulation, Banking, Fraud detection, Machine Learning, Data Ethics, Natural Language Processing, AI Personalization, Deep Learning, Credit Risk, Data-Driven Decision-Making, Case Studies, Reinforcement Learning, Big Data, Algorithms, Data Management, Customer Service

    4.7
    Rating, 4.7 out of 5 stars
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    48 reviews

    Beginner · Course · 1 - 4 Weeks

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    Coursera

    AppDynamics Monitoring

    Skills you'll gain: MLOps (Machine Learning Operations), Application Performance Management, System Monitoring, Model Deployment, Continuous Monitoring, Performance Tuning, Process Optimization, Anomaly Detection, Artificial Intelligence and Machine Learning (AI/ML), Data Mapping, Root Cause Analysis, Performance Metric, Performance Analysis

    Beginner · Course · 1 - 4 Weeks

  • C

    Coursera

    TensorFlow for Beginners: Basic Binary Image Classification

    Skills you'll gain: Model Deployment, Tensorflow, Model Evaluation, Data Preprocessing, Image Analysis, Artificial Neural Networks, Convolutional Neural Networks, Data Processing, Applied Machine Learning, Machine Learning Methods, Computer Vision, Deep Learning

    Beginner · Guided Project · Less Than 2 Hours

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    DeepLearning.AI

    Natural Language Processing with Probabilistic Models

    Skills you'll gain: Natural Language Processing, Markov Model, Embeddings, Text Mining, Data Preprocessing, Artificial Neural Networks, Machine Learning Methods, Algorithms, Statistical Modeling, Probability & Statistics

    4.7
    Rating, 4.7 out of 5 stars
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    1.8K reviews

    Intermediate · Course · 1 - 4 Weeks

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    DeepLearning.AI

    AI For Everyone (すべての人のためのAIリテラシー講座)

    Skills you'll gain: AI Product Strategy, Artificial Intelligence, AI Enablement, Artificial Neural Networks, Digital Transformation, Deep Learning, Technical Management, Machine Learning, Responsible AI, Data Ethics, Data Science

    4.8
    Rating, 4.8 out of 5 stars
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    301 reviews

    Beginner · Course · 1 - 3 Months

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    Packt

    Generative AI Application Integration Patterns

    Skills you'll gain: Responsible AI, Generative AI, Generative Model Architectures, LLM Application, Prompt Engineering, ChatGPT, AI Enablement, AI Security, Cloud Development, AI Workflows, Data Ethics, Real Time Data, Large Language Modeling, Model Deployment, Cloud Computing Architecture, Artificial Intelligence, MLOps (Machine Learning Operations), Deep Learning, Scalability, System Monitoring

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
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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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    IBM

    Generative AI Fundamentals

    Skills you'll gain: Prompt Engineering, Prompt Patterns, Generative AI, Generative Model Architectures, ChatGPT, Responsible AI, OpenAI, AI Product Strategy, Data Ethics, Large Language Modeling, Leadership and Management, AI Enablement, Business Leadership, Strategic Leadership, Business Ethics, Hugging Face, Model Deployment, Legal Risk, IBM Cloud, Prototyping

    4.7
    Rating, 4.7 out of 5 stars
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    11K reviews

    Beginner · Specialization · 3 - 6 Months

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    Vanderbilt University

    ChatGPT: Excel at Personal Automation with GPTs, AI & Zapier

    Skills you'll gain: Generative AI Agents, Prompt Engineering, ChatGPT, Prompt Patterns, Generative AI, Agentic systems, Agentic Workflows, LLM Application, Productivity, Email Automation, AI Personalization, Make.com, AI Enablement, AI Workflows, OpenAI, Expense Management, Expense Reports, Large Language Modeling, Artificial Intelligence, Automation

    4.8
    Rating, 4.8 out of 5 stars
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    8.1K reviews

    Beginner · Specialization · 3 - 6 Months

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    Coursera

    Secure AI Code & Libraries with Static Analysis

    Skills you'll gain: AI Security, Application Security, Secure Coding, DevSecOps, Threat Modeling, Vulnerability Scanning, Vulnerability Assessments, AI Personalization, Continuous Integration, Open Source Technology, PyTorch (Machine Learning Library), MLOps (Machine Learning Operations), Dependency Analysis, Analysis, Program Implementation, Supply Chain

    Intermediate · Course · 1 - 4 Weeks

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

  • Generative AI for IT Systems Analysts and Architects: IBM
  • Application of AI, InsurTech, and Real Estate Technology: University of Pennsylvania
  • AI Fundamentals in Financial Services: Saïd Business School, University of Oxford
  • AppDynamics Monitoring: Coursera
  • TensorFlow for Beginners: Basic Binary Image Classification: Coursera
  • Natural Language Processing with Probabilistic Models: DeepLearning.AI
  • AI For Everyone (すべての人のためのAIリテラシー講座): DeepLearning.AI
  • Generative AI Application Integration Patterns: Packt
  • Exam Prep (NCA-GENL): NVIDIA-Certified Generative AI LLMs: Whizlabs
  • Generative AI Fundamentals: 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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