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  • Creating Models With Different Algorithms


Results for "creating models with different algorithms"


  • Status: Free Trial
    Free Trial
    I

    Imperial College London

    Customising your models with TensorFlow 2

    Skills you'll gain: Recurrent Neural Networks (RNNs), Tensorflow, Data Pipelines, Keras (Neural Network Library), Transfer Learning, Deep Learning, Convolutional Neural Networks, Natural Language Processing, Embeddings, Model Evaluation

    4.8
    Rating, 4.8 out of 5 stars
    ·
    195 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    C

    Coursera

    LLM Engineering with RAG: Optimizing AI Solutions

    Skills you'll gain: Prompt Engineering, Retrieval-Augmented Generation, LLM Application, LangChain, Large Language Modeling, Vector Databases, Model Deployment, OpenAI API, Hugging Face, Scalability, Embeddings, Generative AI, Data Integration, Data Science, Machine Learning

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    S

    Starweaver

    GenAI Model Development and Production Engineering

    Skills you'll gain: Model Deployment, Generative AI, Transfer Learning, Kubernetes, Containerization, Docker (Software), Cloud Infrastructure, Scalability, Prompt Engineering, MLOps (Machine Learning Operations), Large Language Modeling, Performance Tuning, Continuous Deployment, Continuous Monitoring, System Monitoring, Emerging Technologies, Process Optimization, Model Evaluation, Automation, Job Evaluation

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    M

    Microsoft

    AI and Machine Learning Algorithms and Techniques

    Skills you'll gain: Unsupervised Learning, Generative AI, Large Language Modeling, Supervised Learning, Deep Learning, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Reinforcement Learning, Predictive Modeling, Machine Learning Algorithms, Artificial Neural Networks, Feature Engineering, Unstructured Data, Model Evaluation, Convolutional Neural Networks, Data Preprocessing, Dimensionality Reduction, Model Deployment

    4.7
    Rating, 4.7 out of 5 stars
    ·
    57 reviews

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    Creating Engaging Presentations with Mentimeter

    Skills you'll gain: Education Software and Technology, End User Training and Support, Technology Solutions

    4.7
    Rating, 4.7 out of 5 stars
    ·
    23 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    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, Data Processing, Data Synthesis, Data Transformation, Feature Engineering, Data Validation, Information Privacy

    3.6
    Rating, 3.6 out of 5 stars
    ·
    26 reviews

    Intermediate · Course · 1 - 3 Months

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

    Pearson

    Quick Start Guide to Large Language Models (LLMs): Unit 2

    Skills you'll gain: Prompt Engineering, LLM Application, OpenAI API, Large Language Modeling, Embeddings, Responsible AI, AI Personalization, Cost Management, Artificial Intelligence, AI Enablement, Model Evaluation

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free
    Free
    D

    DeepLearning.AI

    Embedding Models: From Architecture to Implementation

    Skills you'll gain: Embeddings, Retrieval-Augmented Generation, Large Language Modeling, Semantic Web, Vector Databases, Natural Language Processing

    5
    Rating, 5 out of 5 stars
    ·
    7 reviews

    Beginner · Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Custom Models, Layers, and Loss Functions with TensorFlow

    Skills you'll gain: Tensorflow, Transfer Learning, Deep Learning, Keras (Neural Network Library), Convolutional Neural Networks, Artificial Neural Networks, Model Evaluation

    4.9
    Rating, 4.9 out of 5 stars
    ·
    1.1K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    T

    The Chinese University of Hong Kong

    离散优化建模高阶篇 Advanced Modeling for Discrete Optimization

    Skills you'll gain: Mathematical Modeling, Operations Research, Debugging, Traffic Flow Optimization, Computational Logic, Business Logic, Algorithms, Data Validation

    4.3
    Rating, 4.3 out of 5 stars
    ·
    6 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    F

    Fractal Analytics

    Advanced Machine Learning Algorithms

    Skills you'll gain: Feature Engineering, Model Evaluation, Machine Learning Algorithms, Random Forest Algorithm, Algorithms, Supervised Learning, Applied Machine Learning, Decision Tree Learning, Predictive Modeling, Classification Algorithms, Regression Analysis, Performance Tuning

    3.6
    Rating, 3.6 out of 5 stars
    ·
    11 reviews

    Beginner · Course · 1 - 3 Months

  • Status: New
    New
    Status: Preview
    Preview
    N

    Northeastern University

    Program Structure and Algorithms Part 2

    Skills you'll gain: Algorithms, Bayesian Statistics, Theoretical Computer Science, Network Model, Pseudocode, Computational Thinking, Bayesian Network, Data Structures, Graph Theory, Machine Learning Algorithms, Classification Algorithms, Network Analysis, Probability, Probability & Statistics

    Mixed · Course · 1 - 3 Months

1…567…834

In summary, here are 10 of our most popular creating models with different algorithms courses

  • Customising your models with TensorFlow 2: Imperial College London
  • LLM Engineering with RAG: Optimizing AI Solutions: Coursera
  • GenAI Model Development and Production Engineering: Starweaver
  • AI and Machine Learning Algorithms and Techniques: Microsoft
  • Creating Engaging Presentations with Mentimeter: Coursera
  • Data Processing and Optimization with Generative AI: Microsoft
  • Quick Start Guide to Large Language Models (LLMs): Unit 2: Pearson
  • Embedding Models: From Architecture to Implementation: DeepLearning.AI
  • Custom Models, Layers, and Loss Functions with TensorFlow: DeepLearning.AI
  • 离散优化建模高阶篇 Advanced Modeling for Discrete Optimization: The Chinese University of Hong Kong

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