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  • 山羊npv加速器

Results for "山羊NPV加速器"


  • D

    Duke University

    Local LLMs with llamafile

    Skills you'll gain: LLM Application, Model Deployment, Real Time Data, Large Language Modeling, Application Deployment, System Monitoring, Cross Platform Development, Application Programming Interface (API), Machine Learning

    2.7
    Rating, 2.7 out of 5 stars
    ·
    7 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Architecting with Google Kubernetes Engine: Workloads 日本語版

    Skills you'll gain: Kubernetes, Capacity Management, Application Deployment, Google Cloud Platform, Cloud-Native Computing, Scalability, Cloud Infrastructure, Data Persistence, Containerization, YAML, Load Balancing, Cloud Security, Network Model

    Intermediate · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    E

    EDUCBA

    Machine Learning with R: Build, Analyze & Predict

    Skills you'll gain: Data Analysis, Statistical Analysis, Probability Distribution, R Programming, Exploratory Data Analysis, Statistical Modeling, Machine Learning, Statistical Inference, Classification Algorithms, Data Manipulation, Supervised Learning, Random Forest Algorithm, Regression Analysis, Model Evaluation, Decision Tree Learning

    4.5
    Rating, 4.5 out of 5 stars
    ·
    13 reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    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

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

    Pearson

    Quick Start Guide to Large Language Models (LLMs)

    Skills you'll gain: Prompt Engineering, Large Language Modeling, LLM Application, Retrieval-Augmented Generation, ChatGPT, Natural Language Processing, Generative AI Agents, OpenAI API, Model Deployment, Embeddings, Transfer Learning, Generative Model Architectures, Multimodal Prompts, Generative AI, Cloud Deployment, Responsible AI, Artificial Intelligence and Machine Learning (AI/ML), AI Personalization, Cost Management, Machine Learning

    Intermediate · Specialization · 1 - 4 Weeks

  • Status: Free
    Free
    D

    DeepLearning.AI

    Intro to Federated Learning

    Skills you'll gain: Federated Learning, Transfer Learning, AI Security, Large Language Modeling, PyTorch (Machine Learning Library), Information Privacy, Distributed Computing, Machine Learning

    4.3
    Rating, 4.3 out of 5 stars
    ·
    9 reviews

    Beginner · Project · Less Than 2 Hours

  • Status: New
    New
    Status: Free Trial
    Free Trial
    E

    EDUCBA

    AI with Python: Apply & Implement ML Models

    Skills you'll gain: Data Preprocessing, Dimensionality Reduction, PyTorch (Machine Learning Library), Deep Learning, Keras (Neural Network Library), Tensorflow, Artificial Intelligence, Data Cleansing, Model Evaluation, Jupyter, Python Programming, Applied Machine Learning, Artificial Neural Networks, Scikit Learn (Machine Learning Library), Machine Learning, Matplotlib, Supervised Learning, Exploratory Data Analysis, Statistical Analysis

    Mixed · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Preview
    Preview
    P

    Packt

    Machine Learning with PyTorch and Scikit-Learn

    Skills you'll gain: Reinforcement Learning, Dimensionality Reduction, PyTorch (Machine Learning Library), Machine Learning Algorithms, Data Preprocessing, Model Evaluation, Artificial Intelligence and Machine Learning (AI/ML), Generative Adversarial Networks (GANs), Machine Learning Methods, Deep Learning, Transfer Learning, Applied Machine Learning, Pandas (Python Package), Scikit Learn (Machine Learning Library), Python Programming, Machine Learning, Artificial Neural Networks, Data Processing, Natural Language Processing, Feature Engineering

    Intermediate · Course · 3 - 6 Months

  • C

    Coursera

    Solving ML Regression Problems with AWS AutoGluon

    Skills you'll gain: AWS SageMaker, Model Evaluation, Applied Machine Learning, Predictive Modeling, Machine Learning, Machine Learning Algorithms, Amazon Web Services, Regression Analysis, Data Analysis

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    U

    University of Glasgow

    Capstone Assignment - CDSS 5

    Skills you'll gain: Data Mining, Deep Learning, Health Informatics, Model Evaluation, Responsible AI, Applied Machine Learning, Machine Learning, Artificial Intelligence, Recurrent Neural Networks (RNNs), Data Preprocessing, Logistic Regression

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free
    Free
    C

    Coursera

    TensorFlow Prediction: Identify Penguin Species

    Skills you'll gain: Model Evaluation, Data Preprocessing, Tensorflow, Applied Machine Learning, Feature Engineering, Data Cleansing, Classification And Regression Tree (CART), Machine Learning, Random Forest Algorithm, Pandas (Python Package), Data Analysis, Exploratory Data Analysis

    Intermediate · Guided Project · Less Than 2 Hours

  • C

    Coursera

    Queries with OpenAI: Translate Natural Text to SQL

    Skills you'll gain: OpenAI API, SQL, ChatGPT, Prompt Engineering, Pandas (Python Package), Natural Language Processing, Data Import/Export, Data Manipulation, Databases, Python Programming, Machine Learning, Software Engineering

    4.4
    Rating, 4.4 out of 5 stars
    ·
    7 reviews

    Intermediate · Guided Project · Less Than 2 Hours

1…596061…95

In summary, here are 10 of our most popular 山羊NPV加速器 courses

  • Local LLMs with llamafile: Duke University
  • Architecting with Google Kubernetes Engine: Workloads 日本語版: Google Cloud
  • Machine Learning with R: Build, Analyze & Predict: EDUCBA
  • Deep Learning: Recurrent Neural Networks with Python: Packt
  • Quick Start Guide to Large Language Models (LLMs): Pearson
  • Intro to Federated Learning: DeepLearning.AI
  • AI with Python: Apply & Implement ML Models: EDUCBA
  • Machine Learning with PyTorch and Scikit-Learn: Packt
  • Solving ML Regression Problems with AWS AutoGluon: Coursera
  • Capstone Assignment - CDSS 5: University of Glasgow

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