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  • Data Structures C


Results for "data structures c "


  • Status: New
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    C

    Coursera

    GenAI Prompting, Evaluation, and Governance

    Skills you'll gain: Responsible AI, AI Security, Prompt Engineering, Generative AI, Governance Risk Management and Compliance, Content Performance Analysis, Risk Management, Governance, Retrieval-Augmented Generation, Model Evaluation, Compliance Management, Data-Driven Decision-Making, Performance Analysis, Cross-Functional Team Leadership, System Monitoring, Gap Analysis, Large Language Modeling, Performance Metric, Quality Assessment, Cost Benefit Analysis

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
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    C

    Coursera

    Engineer AI Models: Explain, Tune & Experiment

    Skills you'll gain: Feature Engineering, Fraud detection, Jupyter, Program Management, Responsible AI, Model Evaluation, Project Management, Performance Improvement, Performance Metric, Business Analytics, Credit Risk, Performance Analysis, Performance Tuning, Machine Learning Methods, Test Planning, Test Engineering, Research Design, Technical Communication

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    R

    Rice University

    Business Applications of Hypothesis Testing and Confidence Interval Estimation

    Skills you'll gain: Statistical Hypothesis Testing, Statistical Methods, Sample Size Determination, Statistical Inference, Estimation, Statistics, Probability & Statistics, Sampling (Statistics), Statistical Analysis, Microsoft Excel, Excel Formulas, Data Analysis, Decision Making

    4.8
    Rating, 4.8 out of 5 stars
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    1.3K reviews

    Mixed · Course · 1 - 4 Weeks

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    DeepLearning.AI

    TensorFlow: Advanced Techniques

    Skills you'll gain: Generative Adversarial Networks (GANs), Autoencoders, Generative AI, Tensorflow, Computer Vision, Image Analysis, Transfer Learning, Convolutional Neural Networks, Generative Model Architectures, Deep Learning, Keras (Neural Network Library), Artificial Neural Networks, Classification Algorithms, Model Evaluation, Distributed Computing, Visualization (Computer Graphics), Performance Tuning, Network Architecture

    4.8
    Rating, 4.8 out of 5 stars
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    1.7K reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
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    DeepLearning.AI

    Convolutional Neural Networks in TensorFlow

    Skills you'll gain: Convolutional Neural Networks, Transfer Learning, Model Evaluation, Tensorflow, Keras (Neural Network Library), Computer Vision, Classification Algorithms, Image Analysis, Applied Machine Learning, Deep Learning, Machine Learning, Data Preprocessing

    4.7
    Rating, 4.7 out of 5 stars
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    8.2K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    Duke University

    Inferential Statistics

    Skills you'll gain: Statistical Hypothesis Testing, Statistical Inference, Statistical Reporting, R (Software), Statistical Methods, Statistics, R Programming, Statistical Analysis, Probability & Statistics, Data Analysis, Sampling (Statistics), Probability Distribution, Software Installation

    4.8
    Rating, 4.8 out of 5 stars
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    2.8K reviews

    Beginner · Course · 1 - 3 Months

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    C

    Coursera

    Build an AI-Powered App with Claude

    Skills you'll gain: Prompt Engineering, Anthropic Claude, Generative AI, Artificial Intelligence, Application Development, Application Programming Interface (API), Authentications, Context Management, User Interface and User Experience (UI/UX) Design, Content Creation, Customer Service

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
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    University of Colorado Boulder

    Foundations of Probability and Statistics

    Skills you'll gain: Probability, Statistical Inference, Estimation, Statistical Methods, Probability & Statistics, Statistics, Probability Distribution, Markov Model, Data Literacy, Statistical Analysis, Sampling (Statistics), Bayesian Statistics, Applied Mathematics, Artificial Intelligence, Generative AI, Data Science, Theoretical Computer Science, Data Analysis, Machine Learning Algorithms, Mathematical Theory & Analysis

    Build toward a degree

    4.4
    Rating, 4.4 out of 5 stars
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    339 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
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    S

    Stanford University

    Probabilistic Graphical Models 1: Representation

    Skills you'll gain: Bayesian Network, Graph Theory, Probability Distribution, Network Model, Statistical Modeling, Markov Model, Decision Support Systems, Probability & Statistics, Network Analysis, Machine Learning Algorithms

    4.6
    Rating, 4.6 out of 5 stars
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    1.4K reviews

    Advanced · Course · 1 - 3 Months

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    Alberta Machine Intelligence Institute

    Generative AI Fundamentals

    Skills you'll gain: Prompt Engineering, Generative AI, Generative Model Architectures, Generative Adversarial Networks (GANs), Retrieval-Augmented Generation, Generative AI Agents, LangChain, Large Language Modeling, Vision Transformer (ViT), ChatGPT, Artificial Intelligence and Machine Learning (AI/ML), Image Analysis, Model Deployment, OpenAI API, Google Cloud Platform, Open Source Technology, Embeddings, Machine Learning, Python Programming, Probability & Statistics

    Intermediate · Specialization · 1 - 3 Months

  • Status: New
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    Coursera

    Harden AI: Patch and Recover Incidents Fast

    Skills you'll gain: Incident Response, AI Security, Incident Management, Model Deployment, Site Reliability Engineering, Patch Management, MLOps (Machine Learning Operations), System Monitoring, Problem Management, Computer Security Incident Management, Responsible AI, Continuous Monitoring, Dependency Analysis, Disaster Recovery, Anomaly Detection, Application Deployment, Automation, Dashboard

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
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    C

    Coursera

    Deploy, Evaluate and Create AI Systems

    Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), Application Deployment, Cloud Deployment, Continuous Deployment, Containerization, Docker (Software), DevOps, Release Management, Version Control, Dependency Analysis, Performance Tuning, CI/CD, Performance Testing, Package and Software Management, Performance Analysis, Performance Metric, Application Performance Management, Application Development, Cost Benefit Analysis

    Intermediate · Course · 1 - 4 Weeks

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

  • GenAI Prompting, Evaluation, and Governance: Coursera
  • Engineer AI Models: Explain, Tune & Experiment: Coursera
  • Business Applications of Hypothesis Testing and Confidence Interval Estimation : Rice University
  • TensorFlow: Advanced Techniques: DeepLearning.AI
  • Convolutional Neural Networks in TensorFlow: DeepLearning.AI
  • Inferential Statistics: Duke University
  • Build an AI-Powered App with Claude: Coursera
  • Foundations of Probability and Statistics: University of Colorado Boulder
  • Probabilistic Graphical Models 1: Representation: Stanford University
  • Generative AI Fundamentals: Alberta Machine Intelligence Institute

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