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  • Xcode 15 Programming

Results for "xcode 15 programming"


  • Status: Free Trial
    Free Trial
    D

    Duke University

    Rust for Large Language Model Operations (LLMOps)

    Skills you'll gain: LLM Application, Hugging Face, Large Language Modeling, Generative AI, Rust (Programming Language), Model Deployment, MLOps (Machine Learning Operations), AWS SageMaker, Cloud Deployment, PyTorch (Machine Learning Library), CI/CD, Applied Machine Learning, Natural Language Processing, Infrastructure as Code (IaC), DevOps, Machine Learning

    4.2
    Rating, 4.2 out of 5 stars
    ·
    12 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    F

    Fred Hutchinson Cancer Center

    Researcher's guide to omic fundamentals

    Skills you'll gain: Bioinformatics, Molecular Biology, Data Processing, Data Analysis, Data Literacy, Exploratory Data Analysis, Metadata Management, R Programming, Scientific Methods, Data Quality

    3.9
    Rating, 3.9 out of 5 stars
    ·
    17 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free
    Free
    D

    DeepLearning.AI

    Function-Calling and Data Extraction with LLMs

    Skills you'll gain: LLM Application, Tool Calling, AI Workflows, Hugging Face, Unstructured Data, SQL, Web Services, Prompt Engineering, AI Enablement, Database Management, Restful API, Data Processing

    4.5
    Rating, 4.5 out of 5 stars
    ·
    26 reviews

    Intermediate · Project · Less Than 2 Hours

  • Status: New
    New
    Status: Free Trial
    Free Trial
    P

    Pearson

    Data Science Fundamentals Part 1: Unit 1

    Skills you'll gain: Applied Machine Learning, Data Science, Python Programming, Scikit Learn (Machine Learning Library), NumPy, Computational Thinking, Machine Learning Algorithms, Pandas (Python Package), Data Preprocessing, Data Analysis, Exploratory Data Analysis, Programming Principles, Data Manipulation

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    Illinois Tech

    Bayesian Computational Statistics

    Skills you'll gain: Bayesian Statistics, Data Analysis, Statistical Inference, Regression Analysis, Statistical Analysis, Statistical Modeling, Statistical Programming, Sampling (Statistics), R Programming, Markov Model, Logistic Regression, Probability, Simulations, Model Evaluation, Probability Distribution

    Build toward a degree

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    Machine Learning with PySpark: Customer Churn Analysis

    Skills you'll gain: Model Evaluation, Data Preprocessing, Exploratory Data Analysis, Feature Engineering, Model Deployment, Data Analysis, PySpark, Data Import/Export, Data Transformation, Apache Spark, Decision Tree Learning, Customer Analysis, Predictive Modeling, Predictive Analytics, Machine Learning

    4.6
    Rating, 4.6 out of 5 stars
    ·
    25 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Foundations of Probability and Random Variables

    Skills you'll gain: R Programming, Statistical Analysis, Statistical Programming, Data Analysis, Probability, Probability Distribution, Applied Machine Learning, Probability & Statistics, Applied Mathematics, Data Science, Computational Thinking, Simulations

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    Universitat Autònoma de Barcelona

    Diseño y creación de videojuegos: proyecto final

    Skills you'll gain: Video Game Development, Game Design, Peer Review, Animation and Game Design, Computer Programming, Prototyping, Computer Graphics

    3.8
    Rating, 3.8 out of 5 stars
    ·
    20 reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Advanced Probability and Statistical Methods

    Skills you'll gain: Regression Analysis, Statistical Hypothesis Testing, Statistical Analysis, Probability & Statistics, Statistical Methods, Probability Distribution, Data Analysis, Markov Model, Data Science, Statistics, Statistical Inference, Probability, R Programming

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    M

    MathWorks

    Introduction to Deep Learning for Computer Vision

    Skills you'll gain: Model Evaluation, Computer Vision, Convolutional Neural Networks, Image Analysis, Transfer Learning, Matlab, Artificial Neural Networks, Deep Learning, Applied Machine Learning, Classification Algorithms, Performance Tuning

    4.9
    Rating, 4.9 out of 5 stars
    ·
    18 reviews

    Beginner · Course · 1 - 4 Weeks

  • C

    Coursera

    Mastering Data Analysis with Pandas: Learning Path Part 5

    Skills you'll gain: Pandas (Python Package), Data Visualization, Data Manipulation, Data Cleansing, Matplotlib, Text Mining, Exploratory Data Analysis, Data Analysis, Data Preprocessing, Python Programming

    4.6
    Rating, 4.6 out of 5 stars
    ·
    17 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • C

    Coursera

    Conducting Exploratory Data Analysis

    Skills you'll gain: Matplotlib, Seaborn, Exploratory Data Analysis, Data Visualization, Pandas (Python Package), Plot (Graphics), Statistical Visualization, Data Visualization Software, Scatter Plots, Data Analysis, Box Plots, Python Programming

    Intermediate · Guided Project · Less Than 2 Hours

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In summary, here are 10 of our most popular xcode 15 programming courses

  • Rust for Large Language Model Operations (LLMOps): Duke University
  • Researcher's guide to omic fundamentals: Fred Hutchinson Cancer Center
  • Function-Calling and Data Extraction with LLMs: DeepLearning.AI
  • Data Science Fundamentals Part 1: Unit 1: Pearson
  • Bayesian Computational Statistics: Illinois Tech
  • Machine Learning with PySpark: Customer Churn Analysis: Coursera
  • Foundations of Probability and Random Variables: Johns Hopkins University
  • Diseño y creación de videojuegos: proyecto final: Universitat Autònoma de Barcelona
  • Advanced Probability and Statistical Methods: Johns Hopkins University
  • Introduction to Deep Learning for Computer Vision: MathWorks

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