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  • Status: Free Trial
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    S

    Stanford University

    Probabilistic Graphical Models 2: Inference

    Skills you'll gain: Bayesian Network, Machine Learning Methods, Statistical Inference, Markov Model, Graph Theory, Sampling (Statistics), Applied Machine Learning, Statistical Methods, Probability & Statistics, Algorithms, Probability Distribution, Machine Learning Algorithms, Computational Thinking

    4.6
    Rating, 4.6 out of 5 stars
    ·
    489 reviews

    Advanced · Course · 1 - 3 Months

  • Status: Preview
    Preview
    N

    National Taiwan University

    機器學習基石下 (Machine Learning Foundations)---Algorithmic Foundations

    Skills you'll gain: Classification Algorithms, Supervised Learning, Machine Learning, Machine Learning Algorithms, Logistic Regression, Data Validation, Applied Machine Learning, Data Preprocessing, Model Evaluation, Algorithms, Programming Principles, Regression Analysis, Feature Engineering, Statistical Methods

    4.9
    Rating, 4.9 out of 5 stars
    ·
    331 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Supervised Machine Learning: Classification

    Skills you'll gain: Classification Algorithms, Supervised Learning, Model Evaluation, Data Preprocessing, Logistic Regression, Decision Tree Learning, Applied Machine Learning, Predictive Modeling, Scikit Learn (Machine Learning Library), Data Cleansing, Machine Learning, Feature Engineering, Random Forest Algorithm, Sampling (Statistics), Performance Metric

    4.8
    Rating, 4.8 out of 5 stars
    ·
    453 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Minnesota

    Introduction to Recommender Systems: Non-Personalized and Content-Based

    Skills you'll gain: Taxonomy, AI Personalization, Spreadsheet Software, Machine Learning, Predictive Analytics, Microsoft Excel, Data Collection, Statistics, Algorithms, Computer Programming, Java

    4.4
    Rating, 4.4 out of 5 stars
    ·
    659 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    G

    Google

    Play It Safe: Manage Security Risks

    Skills you'll gain: Security Management, Threat Management, Cybersecurity, Cyber Risk, Risk Management, Incident Response, Vulnerability Management, Security Information and Event Management (SIEM), Security Controls, Continuous Monitoring, Information Systems Security, Enterprise Security, Risk Analysis, Threat Detection, Information Assurance, Auditing, Compliance Auditing

    4.8
    Rating, 4.8 out of 5 stars
    ·
    11K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    Building Generative AI-Powered Applications with Python

    Skills you'll gain: Retrieval-Augmented Generation, LangChain, LLM Application, Hugging Face, Generative AI, OpenAI, Web Applications, Flask (Web Framework), Python Programming, Natural Language Processing, Prompt Engineering, Image Analysis

    4.6
    Rating, 4.6 out of 5 stars
    ·
    268 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    C

    Coursera

    Use Generative AI as Your Thought Partner

    Skills you'll gain: Prompt Engineering, Responsible AI, AI Enablement, Generative AI, Strategic Thinking, Data Ethics, Artificial Intelligence, Workforce Development, Digital Transformation, Employee Engagement

    4.7
    Rating, 4.7 out of 5 stars
    ·
    1.3K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    Supervised Machine Learning: Regression

    Skills you'll gain: Supervised Learning, Regression Analysis, Applied Machine Learning, Predictive Modeling, Machine Learning, Machine Learning Algorithms, Statistical Modeling, Logistic Regression, Scikit Learn (Machine Learning Library), Model Evaluation, Data Preprocessing, Feature Engineering, Statistical Analysis, Classification Algorithms

    4.7
    Rating, 4.7 out of 5 stars
    ·
    827 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Minnesota

    Analytics for Decision Making

    Skills you'll gain: Time Series Analysis and Forecasting, Model Evaluation, Simulations, Operations Research, Probability Distribution, Mathematical Modeling, Supply Chain, Probability, Predictive Modeling, Data Preprocessing, Business Modeling, Business Analytics, Workforce Management, Analytics, Regression Analysis, Microsoft Excel, Forecasting, Excel Formulas, Statistics, Predictive Analytics

    4.7
    Rating, 4.7 out of 5 stars
    ·
    296 reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Deep Learning with Keras and Tensorflow

    Skills you'll gain: Keras (Neural Network Library), Convolutional Neural Networks, Reinforcement Learning, Deep Learning, Autoencoders, Unsupervised Learning, Tensorflow, Recurrent Neural Networks (RNNs), Generative Adversarial Networks (GANs), Transfer Learning, Computer Vision, Model Evaluation, Performance Tuning

    4.4
    Rating, 4.4 out of 5 stars
    ·
    1K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Preparing for Google Cloud Certification: Cloud Engineer

    Skills you'll gain: Cloud Infrastructure, Identity and Access Management, Kubernetes, Google Cloud Platform, Cloud Management, Prompt Engineering, Cloud Storage, Containerization, Infrastructure As A Service (IaaS), Cloud-Native Computing, Terraform, Cloud Applications, Cloud Computing Architecture, Cloud Services, Load Balancing, Application Deployment, Infrastructure as Code (IaC), Virtual Machines, Cloud Computing, Virtual Networking

    4.7
    Rating, 4.7 out of 5 stars
    ·
    59K reviews

    Intermediate · Professional Certificate · 3 - 6 Months

  • Status: Preview
    Preview
    U

    University of Michigan

    Generative AI Essentials: Overview and Impact

    Skills you'll gain: Generative AI, ChatGPT, Large Language Modeling, Prompt Engineering, Responsible AI, Data Ethics, Artificial Intelligence, Artificial Intelligence and Machine Learning (AI/ML), Social Impact, Business Economics, Culture, Business Ethics, Law, Regulation, and Compliance, Intellectual Property

    4.7
    Rating, 4.7 out of 5 stars
    ·
    326 reviews

    Beginner · Course · 1 - 4 Weeks

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In summary, here are 10 of our most popular binary data courses

  • Probabilistic Graphical Models 2: Inference: Stanford University
  • 機器學習基石下 (Machine Learning Foundations)---Algorithmic Foundations: National Taiwan University
  • Supervised Machine Learning: Classification: IBM
  • Introduction to Recommender Systems: Non-Personalized and Content-Based: University of Minnesota
  • Play It Safe: Manage Security Risks: Google
  • Building Generative AI-Powered Applications with Python: IBM
  • Use Generative AI as Your Thought Partner: Coursera
  • Supervised Machine Learning: Regression: IBM
  • Analytics for Decision Making: University of Minnesota
  • Deep Learning with Keras and Tensorflow: IBM

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