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  • Programming G Code M Code

Results for "programming g code m code"


  • M

    Microsoft

    Technical Diagnostics and Troubleshooting Techniques

    Skills you'll gain: Desktop Support, Network Troubleshooting, Technical Support and Services, Technical Support, Hardware Troubleshooting, System Support, Help Desk Support, Debugging, Microsoft Windows, Mac OS, Unix, Problem Management, Computer Hardware, Network Monitoring, Generative AI, Operating Systems, System Configuration, Software Installation, Technical Communication, Performance Tuning

    4.8
    Rating, 4.8 out of 5 stars
    ·
    168 reviews

    Beginner · Course · 1 - 4 Weeks

  • I

    Imperial College London

    Survival Analysis in R for Public Health

    Skills you'll gain: Biostatistics, Statistical Analysis, R (Software), R Programming, Statistical Methods, Data Wrangling, Regression Analysis, Exploratory Data Analysis, Time Series Analysis and Forecasting, Logistic Regression, Probability & Statistics, Descriptive Statistics, Model Evaluation, Public Health

    4.5
    Rating, 4.5 out of 5 stars
    ·
    331 reviews

    Intermediate · Course · 1 - 4 Weeks

  • U

    Universidad Nacional Autónoma de México

    Fundamentos de Android

    Skills you'll gain: Android Studio, Android (Operating System), Android Development, Mockups, Mobile Development, Mobile Development Tools, Software Design Patterns, User Interface (UI) Design, Application Design, Application Development, Prototyping, User Interface (UI), Development Environment, GitHub

    4.5
    Rating, 4.5 out of 5 stars
    ·
    680 reviews

    Mixed · Course · 1 - 3 Months

  • I

    Icahn School of Medicine at Mount Sinai

    Dynamical Modeling Methods for Systems Biology

    Skills you'll gain: Matlab, Mathematical Modeling, Differential Equations, Computational Logic, Applied Mathematics, Molecular Biology, Simulations, Statistical Modeling, Biology, Cell Biology, Physiology, Systems Analysis

    4.7
    Rating, 4.7 out of 5 stars
    ·
    223 reviews

    Mixed · Course · 1 - 3 Months

  • A

    Alberta Machine Intelligence Institute

    Machine Learning Algorithms: Supervised Learning Tip to Tail

    Skills you'll gain: Supervised Learning, Machine Learning Algorithms, Applied Machine Learning, Classification Algorithms, Model Evaluation, Jupyter, Decision Tree Learning, Machine Learning, Data Preprocessing, Scikit Learn (Machine Learning Library), Business Solutions, Python Programming, Regression Analysis, Performance Analysis, Feature Engineering, Data Processing, Process Optimization

    4.7
    Rating, 4.7 out of 5 stars
    ·
    417 reviews

    Mixed · Course · 1 - 4 Weeks

  • C

    Codio

    Python Object Basics: Functions, Recursion, and Objects

    Skills you'll gain: Object Oriented Programming (OOP), Programming Principles, Computer Programming, Scripting Languages, Python Programming, Scripting, Computer Science

    4.5
    Rating, 4.5 out of 5 stars
    ·
    66 reviews

    Intermediate · Course · 1 - 4 Weeks

  • U

    University of Pennsylvania

    AI and Machine Learning Essentials with Python

    Skills you'll gain: Statistical Machine Learning, Data Preprocessing, Model Evaluation, PyTorch (Machine Learning Library), Statistical Methods, Probability, Probability & Statistics, Sampling (Statistics), Logistic Regression, Deep Learning, Probability Distribution, Supervised Learning, Statistics, Machine Learning Methods, Machine Learning, Agentic systems, Artificial Intelligence, Artificial Neural Networks, Algorithms, Python Programming

    4.5
    Rating, 4.5 out of 5 stars
    ·
    44 reviews

    Intermediate · Specialization · 3 - 6 Months

  • U

    University of California, Irvine

    Toward the Future of iOS Development with Swift

    Skills you'll gain: Swift Programming, iOS Development, Apple iOS, Objective-C (Programming Language), Mobile Development, Application Development, Apple software proficiency, Application Servers, Object Oriented Programming (OOP), Data Structures, User Interface (UI)

    3.8
    Rating, 3.8 out of 5 stars
    ·
    79 reviews

    Mixed · Course · 1 - 4 Weeks

  • D

    DeepLearning.AI

    Design, Develop, and Deploy Multi-Agent Systems with CrewAI

    Skills you'll gain: AI Orchestration, Agentic Workflows, Generative AI Agents, Agentic systems, LLM Application, Automation, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, System Monitoring, Workflow Management, Tool Calling, Continuous Monitoring, Scalability, Prompt Engineering, Code Review, User Feedback

    4.6
    Rating, 4.6 out of 5 stars
    ·
    9 reviews

    Beginner · Course · 1 - 4 Weeks

  • 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

  • C

    Coursera

    Building GenAI Applications and Agents

    Skills you'll gain: LangChain, Hugging Face, Prompt Engineering, Retrieval-Augmented Generation, Model Evaluation, Large Language Modeling, CrewAI, OpenAI API, Generative AI Agents, LLM Application, Vector Databases, Tool Calling, ChatGPT, Responsible AI, Embeddings, AI Enablement, AI Workflows, OpenAI, Generative AI, Python Programming

    4.2
    Rating, 4.2 out of 5 stars
    ·
    183 reviews

    Intermediate · Specialization · 1 - 3 Months

  • I

    IBM

    IBM COBOL Basic Testing and Debugging

    Skills you'll gain: COBOL (Programming Language), Debugging, z/OS, Unit Testing, Test Driven Development (TDD), Software Testing, Mainframe Computing, Integrated Development Environments, Computer Programming Tools, File I/O

    4.4
    Rating, 4.4 out of 5 stars
    ·
    122 reviews

    Beginner · Course · 1 - 3 Months

1…187188189…534

In summary, here are 10 of our most popular programming g code m code courses

  • Technical Diagnostics and Troubleshooting Techniques: Microsoft
  • Survival Analysis in R for Public Health: Imperial College London
  • Fundamentos de Android: Universidad Nacional Autónoma de México
  • Dynamical Modeling Methods for Systems Biology: Icahn School of Medicine at Mount Sinai
  • Machine Learning Algorithms: Supervised Learning Tip to Tail: Alberta Machine Intelligence Institute
  • Python Object Basics: Functions, Recursion, and Objects: Codio
  • AI and Machine Learning Essentials with Python: University of Pennsylvania
  • Toward the Future of iOS Development with Swift: University of California, Irvine
  • Design, Develop, and Deploy Multi-Agent Systems with CrewAI: DeepLearning.AI
  • Introduction to Recommender Systems: Non-Personalized and Content-Based: University of Minnesota

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