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  • Using The Protodash Algorithm

Results for "using the protodash algorithm"


  • 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
  • G

    Google Cloud

    Getting Started with Redis and RediSearch

    Skills you'll gain: Redis, Data Import/Export, Query Languages, Data Store, Data Maintenance, Google Cloud Platform, Docker (Software), NoSQL, Data Management, Database Administration

    ★ 4.4 (7) · Beginner · Project · Less Than 2 Hours

    Category: Credit offered
    Credit offered
  • D

    DeepLearning.AI

    Повышение эффективности глубоких нейросетей

    Skills you'll gain: Tensorflow, Model Optimization, Deep Learning, Data Compilation, Model Training, Statistical Analysis, Artificial Neural Networks, Model Evaluation, Performance Tuning, Machine Learning, Algorithms, Debugging

    Beginner · Course · 1 - 4 Weeks

    Category: Preview
    Preview
    Category: Credit offered
    Credit offered
  • P

    Packt

    Train Large Language Models Faster - Parallelism Deep Dive

    Skills you'll gain: Model Training

    Intermediate · Course · 3 - 6 Months

    Category: New
    New
    Category: Credit offered
    Credit offered
  • E

    EDUCBA

    Project on Logstash - Large-Scale Logging Mechanism

    Skills you'll gain: Docker (Software), YAML, Containerization, Configuration Management, Data Pipelines, Real Time Data, Devops Tools, Debugging, DevOps, Microservices, Application Deployment, Event Monitoring, Scalability, Software Installation

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

    Category: Preview
    Preview
    Category: Credit offered
    Credit offered
  • S

    Stanford University

    Divide and Conquer, Sorting and Searching, and Randomized Algorithms

    Skills you'll gain: Algorithms, Graph Theory, Data Structures, Theoretical Computer Science, Computational Thinking, Mathematical Theory & Analysis, Analysis, Computer Science, Probability & Statistics, Probability, Design Strategies

    ★ 4.8 (5.3K) · Intermediate · Course · 1 - 4 Weeks

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

    Microsoft

    Data Processing and Optimization with Generative AI

    Skills you'll gain: Data Ethics, Generative AI, Microsoft Copilot, Data Quality, Responsible AI, Generative Adversarial Networks (GANs), Data Preprocessing, Data Cleansing, Generative Model Architectures, Data Processing, Data Synthesis, Data Integrity, Feature Engineering, Information Privacy

    ★ 3.7 (29) · Intermediate · Course · 1 - 3 Months

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

    DeepLearning.AI

    Preprocessing Unstructured Data for LLM Applications

    Skills you'll gain: Retrieval-Augmented Generation, Unstructured Data, LLM Application, Large Language Modeling, Data Preprocessing, Metadata Management, Data Processing, JSON, Image Analysis, Data Transformation, Document Management, Vision Transformer (ViT)

    ★ 4.3 (15) · Beginner · Project · Less Than 2 Hours

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

    Coursera

    Optimize AI Inference Speed & Accuracy

    Skills you'll gain: Model Optimization, Model Deployment, Model Training, AI Security, Benchmarking, Numerical Analysis, Process Optimization, Cloud Deployment, Model Evaluation, Keras (Neural Network Library), Network Model, Project Performance

    Intermediate · Course · 1 - 4 Weeks

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

    Coursera

    Classify Radio Signals with PyTorch

    Skills you'll gain: PyTorch (Machine Learning Library), Transfer Learning, Fine-tuning, Convolutional Neural Networks, Digital Signal Processing, Model Training, Image Analysis, Classification Algorithms, Model Evaluation, Deep Learning, Computer Vision, Telecommunications

    ★ 3.7 (12) · 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
  • D

    DeepLearning.AI

    Pretraining LLMs

    Skills you'll gain: Large Language Modeling, Model Evaluation, Model Training, Hugging Face, Data Preprocessing, Fine-tuning, Model Optimization, Transfer Learning, Generative AI

    ★ 4.6 (18) · Beginner · Project · Less Than 2 Hours

    Category: Free
    Free
    Category: Credit offered
    Credit offered
1…567…834

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

  • Natural Language Processing with Probabilistic Models: DeepLearning.AI
  • Getting Started with Redis and RediSearch: Google Cloud
  • Повышение эффективности глубоких нейросетей: DeepLearning.AI
  • Train Large Language Models Faster - Parallelism Deep Dive: Packt
  • Project on Logstash - Large-Scale Logging Mechanism: EDUCBA
  • Divide and Conquer, Sorting and Searching, and Randomized Algorithms: Stanford University
  • Data Processing and Optimization with Generative AI: Microsoft
  • Preprocessing Unstructured Data for LLM Applications: DeepLearning.AI
  • Optimize AI Inference Speed & Accuracy: Coursera
  • Classify Radio Signals with PyTorch: Coursera

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