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  • Using The Protodash Algorithm

Results for "using the protodash algorithm"


  • C

    Coursera

    Optimizing Models for Production

    Skills you'll gain: Model Optimization, Token Optimization, Model Deployment, Generative AI, Performance Tuning, Model Evaluation, Performance Testing, Cross Platform Development, PyTorch (Machine Learning Library), Memory Management, Development Environment, Hardware Architecture, Scalability

    Intermediate · Course · 1 - 4 Weeks

    Category: New
    New
    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • T

    The Chinese University of Hong Kong

    Solving Algorithms for Discrete Optimization

    Skills you'll gain: Operations Research, Model Optimization, Computational Logic, Combinatorics, Algorithms, Applied Mathematics, Mathematical Modeling, Mathematical Software, Computational Thinking, Decision Support Systems, Data Transformation, Theoretical Computer Science, Performance Tuning, Linear Algebra

    ★ 4.8 (44) · Intermediate · Course · 1 - 4 Weeks

    Category: Free
    Free
    Category: Credit offered
    Credit offered
  • C

    Coursera

    Pneumonia Classification using PyTorch

    Skills you'll gain: PyTorch (Machine Learning Library), Data Preprocessing, Transfer Learning, Fine-tuning, Model Training, Convolutional Neural Networks, Medical Imaging, Radiology, Image Analysis, Deep Learning, Python Programming

    ★ 4.4 (11) · Intermediate · Guided Project · Less Than 2 Hours

    Category: Credit offered
    Credit offered
  • C

    Coursera

    Fine-tuning Image Models with Diffusion

    Skills you'll gain: Model Deployment, Fine-tuning, Model Optimization, Generative AI, Application Deployment, AI Workflows, Generative Model Architectures, Model Training, AI Personalization, Image Quality, Configuration Management, Performance Tuning, Data Preprocessing

    Intermediate · Course · 1 - 4 Weeks

    Category: New
    New
    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • D

    DeepLearning.AI

    How Diffusion Models Work

    Skills you'll gain: Generative AI, Generative Model Architectures, Jupyter, AI Personalization, Model Training, Sampling (Statistics), Artificial Neural Networks, Algorithms

    ★ 4.6 (279) · Intermediate · Project · Less Than 2 Hours

    Category: Free
    Free
    Category: Credit offered
    Credit offered
  • C

    Coursera

    Data Balancing with Gen AI: Credit Card Fraud Detection

    Skills you'll gain: Generative Adversarial Networks (GANs), Generative AI, Fraud detection, Generative Model Architectures, Keras (Neural Network Library), Tensorflow, Data Preprocessing, Deep Learning, Dimensionality Reduction, Data Visualization, Model Training, Data Synthesis, Python Programming

    ★ 4.1 (9) · Intermediate · Guided Project · Less Than 2 Hours

    Category: Credit offered
    Credit offered
  • I

    Imperial College London

    Probabilistic Deep Learning with TensorFlow 2

    Skills you'll gain: Generative AI, Tensorflow, Autoencoders, Generative Model Architectures, Bayesian Network, Deep Learning, Image Analysis, Bayesian Statistics, Model Optimization, Probability Distribution, Model Training, Sampling (Statistics), Data Transformation

    ★ 4.7 (109) · Advanced · Course · 1 - 3 Months

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • C

    Coursera

    Parse & Normalize Data for ML Pipelines

    Skills you'll gain: Data Preprocessing, Data Pipelines, Java Programming, Java, Data Processing, Feature Engineering, Data Import/Export, Data Cleansing, Data Quality, Model Training, Data Transformation, Data Validation, Data Integrity, Data Access, Continuous Monitoring, Apache Maven, Object Oriented Programming (OOP)

    Intermediate · Course · 1 - 4 Weeks

    Category: New
    New
    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • D

    DeepLearning.AI

    Natural Language Processing with Probabilistic Models

    Skills you'll gain: Natural Language Processing, Markov Model, Embeddings, Data Preprocessing, Artificial Neural Networks, Machine Learning Methods, Algorithms, Data Cleansing, Probability & Statistics

    ★ 4.7 (1.8K) · Intermediate · Course · 1 - 4 Weeks

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • P

    Pearson

    Programming Generative AI: Unit 1

    Skills you'll gain: Generative AI, PyTorch (Machine Learning Library), Generative Model Architectures, Artificial Neural Networks, Deep Learning, Model Training

    Intermediate · Course · 1 - 4 Weeks

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • C

    Coursera

    Process Images & Extract Motion Features

    Skills you'll gain: Data Preprocessing, Computer Vision, Image Analysis, Model Training, Data Transformation, NumPy, Color Theory

    Intermediate · Course · 1 - 4 Weeks

    Category: New
    New
    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • C

    Coursera

    Principal Component Analysis with NumPy

    Skills you'll gain: Exploratory Data Analysis, NumPy, Data Visualization, Data Analysis, Plot (Graphics), Seaborn, Matplotlib, Statistical Visualization, Cloud Computing, Computing Platforms, Jupyter, Dimensionality Reduction, Data Science, Unsupervised Learning, Scikit Learn (Machine Learning Library), Machine Learning Methods, Numerical Analysis, Python Programming, Data Manipulation, Data Preprocessing

    ★ 4.6 (298) · Intermediate · Guided Project · Less Than 2 Hours

    Category: Credit offered
    Credit offered
1…456…834

In summary, here are 10 of our most popular using the protodash algorithm courses

  • Optimizing Models for Production: Coursera
  • Solving Algorithms for Discrete Optimization: The Chinese University of Hong Kong
  • Pneumonia Classification using PyTorch : Coursera
  • Fine-tuning Image Models with Diffusion: Coursera
  • How Diffusion Models Work: DeepLearning.AI
  • Data Balancing with Gen AI: Credit Card Fraud Detection: Coursera
  • Probabilistic Deep Learning with TensorFlow 2: Imperial College London
  • Parse & Normalize Data for ML Pipelines: Coursera
  • Natural Language Processing with Probabilistic Models: DeepLearning.AI
  • Programming Generative AI: Unit 1: Pearson

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