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  • Data Structure Implementation


Results for "data structure implementation"


  • I

    Imperial College London

    Mathematics for Machine Learning: Linear Algebra

    Skills you'll gain: Linear Algebra, NumPy, Applied Mathematics, Machine Learning Algorithms, Jupyter, Algorithms, Python Programming

    4.7
    Rating, 4.7 out of 5 stars
    ·
    13K reviews

    Beginner · Course · 1 - 3 Months

  • E

    EDUCBA

    Master XPath Querying for XML and Automation

    Skills you'll gain: Extensible Markup Language (XML), Extensible Languages and XML, Selenium (Software), White-Box Testing, Scalability, Software Testing, Web Applications, Test Automation, Test Script Development, Automation, Scenario Testing, Maintainability, Hypertext Markup Language (HTML)

    Beginner · Specialization · 1 - 3 Months

  • P

    Packt

    SQL for Beginners

    Skills you'll gain: Data Analysis, Relational Databases, Data Transformation

    Beginner · Course · 1 - 4 Weeks

  • P

    Packt

    Getting Started with Vector Databases and AI Embeddings

    Skills you'll gain: Vector Databases, Embeddings, Generative AI, Artificial Intelligence, Data Storage, Databases, Retrieval-Augmented Generation, Deep Learning, Scalability, Anomaly Detection, Unstructured Data

    Beginner · Course · 1 - 3 Months

  • C

    Coursera

    Hands-on Agentic AI: Building Intelligent Agents

    Skills you'll gain: Model Context Protocol, Responsible AI, LangGraph, AI Orchestration, AI Workflows, LangChain, Agentic systems, System Monitoring, CrewAI, OpenAI API, Generative AI Agents, LLM Application, Tool Calling, Agentic Workflows, Compliance Management, Governance, AI Security, Continuous Monitoring, Artificial Intelligence, Enterprise Application Management

    2.3
    Rating, 2.3 out of 5 stars
    ·
    11 reviews

    Intermediate · Specialization · 3 - 6 Months

  • I

    IBM

    Generative AI Engineering with LLMs

    Skills you'll gain: Prompt Engineering, Large Language Modeling, Generative AI, Retrieval-Augmented Generation, Generative Model Architectures, PyTorch (Machine Learning Library), Generative AI Agents, Vector Databases, LLM Application, Embeddings, Natural Language Processing, Hugging Face, Transfer Learning, Data Pipelines, Recurrent Neural Networks (RNNs), Data Ethics, Data Preprocessing, Artificial Intelligence, Text Mining, Performance Tuning

    4.5
    Rating, 4.5 out of 5 stars
    ·
    931 reviews

    Intermediate · Specialization · 3 - 6 Months

  • U

    University of California, Davis

    Visual Analytics with Tableau

    Skills you'll gain: Data Visualization, Advanced Analytics, Tableau Software, Interactive Data Visualization, Data Visualization Software, Data Storytelling, Data Mapping, Pivot Tables And Charts, Tree Maps, Analytics, Data Analysis Expressions (DAX), Histogram, Scatter Plots, Geospatial Mapping, Heat Maps, Forecasting

    4.6
    Rating, 4.6 out of 5 stars
    ·
    1.9K reviews

    Beginner · Course · 1 - 4 Weeks

  • M

    Microsoft

    Microsoft Azure AI Fundamentals AI-900 Exam Prep

    Skills you'll gain: Responsible AI, Image Analysis, Anomaly Detection, Unsupervised Learning, Microsoft Azure, Natural Language Processing, Computer Vision, Artificial Intelligence, Applied Machine Learning, MLOps (Machine Learning Operations), AI Security, Regression Analysis, No-Code Development, Artificial Intelligence and Machine Learning (AI/ML), Predictive Modeling, Machine Learning, AI Workflows, Model Deployment, Classification Algorithms, Analytics

    4.5
    Rating, 4.5 out of 5 stars
    ·
    1.5K reviews

    Beginner · Specialization · 3 - 6 Months

  • C

    Coursera

    Optimize Deep Learning: Tune PyTorch Models

    Skills you'll gain: Model Deployment, Model Evaluation, PyTorch (Machine Learning Library), Transfer Learning, Performance Tuning, Debugging, MLOps (Machine Learning Operations), Deep Learning, Scalability, Artificial Neural Networks

    Intermediate · Course · 1 - 4 Weeks

  • 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
    ·
    1.4K reviews

    Advanced · Course · 1 - 3 Months

  • E

    EDUCBA

    Analyze and Defend Against GenAI Social Engineering Attacks

    Skills you'll gain: Cybersecurity, Threat Modeling, AI Enablement, AI Personalization, Artificial Intelligence, Incident Response, Deep Learning

    Beginner · Course · 1 - 4 Weeks

  • C

    Coursera

    Evaluate & Swap Models in Java ML

    Skills you'll gain: Model Evaluation, Data Preprocessing, MLOps (Machine Learning Operations), Classification Algorithms, Applied Machine Learning, Maintainability, Machine Learning Algorithms, Java, Software Architecture, Software Design Patterns, Logistic Regression, Business Metrics, Benchmarking, Decision Tree Learning, Matrix Management, Business

    Intermediate · Course · 1 - 4 Weeks

1…174175176…834

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

  • Mathematics for Machine Learning: Linear Algebra: Imperial College London
  • Master XPath Querying for XML and Automation: EDUCBA
  • SQL for Beginners: Packt
  • Getting Started with Vector Databases and AI Embeddings: Packt
  • Hands-on Agentic AI: Building Intelligent Agents: Coursera
  • Generative AI Engineering with LLMs: IBM
  • Visual Analytics with Tableau: University of California, Davis
  • Microsoft Azure AI Fundamentals AI-900 Exam Prep: Microsoft
  • Optimize Deep Learning: Tune PyTorch Models: Coursera
  • Probabilistic Graphical Models 1: Representation: Stanford University

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