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  • C Data Structures

Results for "c data structures"


  • C

    Coursera

    CNNs with TensorFlow: Basics of Machine Learning

    Skills you'll gain: Tensorflow, Convolutional Neural Networks, Keras (Neural Network Library), Matplotlib, Artificial Neural Networks, Image Analysis, Deep Learning, Applied Machine Learning, Python Programming, Model Evaluation, Adaptability, Problem Solving

    Intermediate · Guided Project · Less Than 2 Hours

  • G

    Georgia Institute of Technology

    Mechanics of Materials IV: Deflections, Buckling, Combined Loading & Failure Theories

    Skills you'll gain: Structural Analysis, Engineering Design Process, Failure Analysis, Engineering Analysis, Civil Engineering, Engineering Calculations, Mechanical Engineering, Mechanics, Calculus

    4.8
    Rating, 4.8 out of 5 stars
    ·
    807 reviews

    Intermediate · Course · 1 - 4 Weeks

  • E

    EDUCBA

    Introduction to SIEM (Splunk)

    Skills you'll gain: Security Information and Event Management (SIEM), Splunk, Threat Detection, System Monitoring, Cybersecurity, Security Management, Event Monitoring, Incident Response, Data Analysis Software, Information Management, Data Management, Data Storage, Configuration Management, User Interface (UI)

    4.6
    Rating, 4.6 out of 5 stars
    ·
    270 reviews

    Beginner · Course · 1 - 4 Weeks

  • E

    EDUCBA

    Apache Spark: Design & Execute ETL Pipelines Hands-On

    Skills you'll gain: Extract, Transform, Load, Apache Spark, Data Pipelines, PySpark, Apache Hadoop, Data Transformation, MySQL, Data Manipulation, Java Platform Enterprise Edition (J2EE), Data Import/Export, Data Persistence, Development Environment, Software Installation

    4.2
    Rating, 4.2 out of 5 stars
    ·
    20 reviews

    Mixed · Course · 1 - 4 Weeks

  • C

    Coursera

    GenAI for Customer Journey Mapping

    Skills you'll gain: Generative AI, Customer Insights, AI Personalization, Customer Analysis, ChatGPT, Customer experience strategy (CX), Real Time Data, Design Thinking, Artificial Intelligence, Analysis, Design

    Intermediate · Course · 1 - 4 Weeks

  • E

    EDUCBA

    AI Driven Machine Learning with Python

    Skills you'll gain: Model Evaluation, Classification Algorithms, Regression Analysis, Matplotlib, Feature Engineering, Time Series Analysis and Forecasting, Data Preprocessing, Jupyter, Image Analysis, Cloud Deployment, Scikit Learn (Machine Learning Library), Applied Machine Learning, Tensorflow, Amazon Web Services, Python Programming, Data Transformation, Logistic Regression, Machine Learning Methods, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML)

    4.8
    Rating, 4.8 out of 5 stars
    ·
    13 reviews

    Beginner · Specialization · 1 - 3 Months

  • E

    Edureka

    Machine Learning with PySpark

    Skills you'll gain: PySpark, Applied Machine Learning, Machine Learning, Logistic Regression

    Intermediate · Course · 1 - 4 Weeks

  • U

    University of Pennsylvania

    Social Impact Strategy: Tools for Entrepreneurs and Innovators

    Skills you'll gain: Social Impact, Design Thinking, Performance Measurement, Human Centered Design, Sustainable Development, Innovation, Entrepreneurship, Business Modeling, Project Performance, Strategic Thinking, Organizational Structure, Needs Assessment, Growth Strategies, Market Analysis

    4.8
    Rating, 4.8 out of 5 stars
    ·
    1.5K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    I

    IBM

    SEO Mastery: From Fundamentals to GenAI and GEO Strategies

    Skills you'll gain: Prompt Engineering, Web Analytics and SEO, Search Engine Optimization, Search Engine Marketing, AI Enablement, Generative AI, Marketing Strategy and Techniques, Blogs, Digital Marketing, Content Marketing, Content Creation, Web Content, Semantic Web, Keyword Research, Content Strategy, Growth Strategies, Artificial Intelligence, Web Analytics, Competitive Analysis, Performance Measurement

    4.7
    Rating, 4.7 out of 5 stars
    ·
    60 reviews

    Intermediate · Specialization · 1 - 3 Months

  • P

    Peking University

    Bioinformatics: Introduction and Methods 生物信息学: 导论与方法

    Skills you'll gain: Bioinformatics, Biotechnology, Informatics, Biostatistics, Molecular Biology, Data Analysis Software, Biology, Predictive Modeling, Machine Learning Algorithms, Data Processing

    4.4
    Rating, 4.4 out of 5 stars
    ·
    284 reviews

    Mixed · Course · 3 - 6 Months

  • P

    Packt

    Deep Learning: Recurrent Neural Networks with Python

    Skills you'll gain: Model Deployment, PyTorch (Machine Learning Library), Recurrent Neural Networks (RNNs), Tensorflow, Artificial Intelligence, Applied Machine Learning, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods, Text Mining, Machine Learning, Natural Language Processing, Deep Learning, Predictive Modeling, Classification Algorithms, Supervised Learning, Time Series Analysis and Forecasting, Network Architecture, Data Science, Model Evaluation

    Beginner · Specialization · 1 - 3 Months

  • C

    Coursera

    Simulation of Call Centre Operations Using R Simmer

    Skills you'll gain: Simulations, Resource Management, Call Center Experience, Process Management, Workflow Management, Data Analysis, Process Analysis, Plot (Graphics), R Programming, Statistical Analysis, Statistical Modeling

    Beginner · Guided Project · Less Than 2 Hours

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

  • CNNs with TensorFlow: Basics of Machine Learning: Coursera
  • Mechanics of Materials IV: Deflections, Buckling, Combined Loading & Failure Theories: Georgia Institute of Technology
  • Introduction to SIEM (Splunk): EDUCBA
  • Apache Spark: Design & Execute ETL Pipelines Hands-On: EDUCBA
  • GenAI for Customer Journey Mapping: Coursera
  • AI Driven Machine Learning with Python: EDUCBA
  • Machine Learning with PySpark: Edureka
  • Social Impact Strategy: Tools for Entrepreneurs and Innovators: University of Pennsylvania
  • SEO Mastery: From Fundamentals to GenAI and GEO Strategies: IBM
  • Bioinformatics: Introduction and Methods 生物信息学: 导论与方法: Peking University

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