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  • Building Semantic Networks

Results for "building semantic networks"


  • Status: Free Trial
    Free Trial
    P

    Packt

    Building and Training Neural Networks with PyTorch

    Skills you'll gain: PyTorch (Machine Learning Library), Deep Learning, Supervised Learning, Image Analysis, Artificial Neural Networks, Machine Learning Methods, Computer Vision, Artificial Intelligence and Machine Learning (AI/ML), Data Processing, Time Series Analysis and Forecasting

    4.9
    Rating, 4.9 out of 5 stars
    ·
    9 reviews

    Intermediate · Course · 1 - 3 Months

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

    Edureka

    Neural Models and Machine Translation

    Skills you'll gain: Large Language Modeling, Natural Language Processing, PyTorch (Machine Learning Library), Artificial Neural Networks, Tensorflow, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Machine Learning

    Intermediate · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    C

    Coursera

    Building a Machine Learning Solution

    Skills you'll gain: Exploratory Data Analysis, Data Collection, Data Ethics, MLOps (Machine Learning Operations), Feature Engineering, Data Cleansing, Responsible AI, Applied Machine Learning, Data Analysis, Solution Design, Statistical Analysis, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Predictive Modeling, Application Deployment, Generative AI, Continuous Monitoring

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Foundations of Neural Networks

    Skills you'll gain: Responsible AI, Data Ethics, Deep Learning, Artificial Neural Networks, Reinforcement Learning, Generative AI, Machine Learning Algorithms, Debugging, Artificial Intelligence, Applied Machine Learning, Image Analysis, Unsupervised Learning, Machine Learning, Machine Learning Methods, Computer Vision, Artificial Intelligence and Machine Learning (AI/ML), Bayesian Statistics, Supervised Learning, Network Architecture, Markov Model

    4.3
    Rating, 4.3 out of 5 stars
    ·
    10 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    C

    Coursera

    Building AI Agents: Automation and NLP Foundations

    Skills you'll gain: Generative AI Agents, Responsible AI, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Agentic systems, OpenAI, Automation, ChatGPT, LLM Application, Prompt Engineering Tools, LangChain, Generative AI, Business Process Automation, Large Language Modeling, Performance Testing, Innovation

    4.6
    Rating, 4.6 out of 5 stars
    ·
    24 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    P

    Packt

    Building Recommender Systems with Machine Learning and AI

    Skills you'll gain: AI Personalization, Apache Spark, Artificial Intelligence and Machine Learning (AI/ML), AWS SageMaker, Scalability, Tensorflow, Dimensionality Reduction, Applied Machine Learning, Python Programming, Fraud detection, Predictive Modeling, Machine Learning Algorithms, Unsupervised Learning, Data Processing

    Intermediate · Course · 3 - 6 Months

  • Status: New
    New
    Status: Free
    Free
    D

    DeepLearning.AI

    Building and Evaluating Data Agents

    Skills you'll gain: LangGraph, Interactive Data Visualization, Prompt Engineering, Generative AI Agents, LLM Application, Tool Calling, Agentic systems, Data Validation, Generative AI, Large Language Modeling

    Intermediate · Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    I

    IBM

    Introduction to Deep Learning & Neural Networks with Keras

    Skills you'll gain: Keras (Neural Network Library), Deep Learning, Artificial Neural Networks, Tensorflow, Machine Learning Methods, Image Analysis, Computer Vision, Regression Analysis, Network Architecture, Network Model, Natural Language Processing, Machine Learning

    4.7
    Rating, 4.7 out of 5 stars
    ·
    2K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Virginia Darden School Foundation

    Building Generative AI Capabilities

    Skills you'll gain: Design Thinking, Customer experience strategy (CX), Marketing Strategy and Techniques, Business Marketing, Customer Relationship Management, Marketing Analytics, Business Strategy, Change Management, Competitive Intelligence, Responsible AI, Generative AI, Information Privacy, Digital Transformation, Artificial Intelligence, Business Ethics

    4.3
    Rating, 4.3 out of 5 stars
    ·
    33 reviews

    Beginner · Course · 1 - 4 Weeks

  • C

    Coursera

    Building Smart Business Assistants with IBM Watson

    Skills you'll gain: IBM Cloud, Self Service Technologies, Application Deployment, AI Personalization, Customer Inquiries, Customer Engagement, Cloud Computing, Customer Service, Natural Language Processing

    4.6
    Rating, 4.6 out of 5 stars
    ·
    468 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    E

    Edureka

    Go for Cloud and Networks

    Skills you'll gain: Cloud-Native Computing, Prometheus (Software), Grafana, Software Architecture, Application Deployment, CI/CD, Systems Architecture

    3
    Rating, 3 out of 5 stars
    ·
    7 reviews

    Beginner · Course · 1 - 3 Months

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

    Simplilearn

    LangChain and Workflow Design Course

    Skills you'll gain: LangChain, LLM Application, Generative AI, Large Language Modeling, Prompt Engineering, Secure Coding, Application Design, Application Development, Application Programming Interface (API), Virtual Environment

    Beginner · Course · 1 - 4 Weeks

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In summary, here are 10 of our most popular building semantic networks courses

  • Building and Training Neural Networks with PyTorch: Packt
  • Neural Models and Machine Translation: Edureka
  • Building a Machine Learning Solution: Coursera
  • Foundations of Neural Networks: Johns Hopkins University
  • Building AI Agents: Automation and NLP Foundations: Coursera
  • Building Recommender Systems with Machine Learning and AI: Packt
  • Building and Evaluating Data Agents: DeepLearning.AI
  • Introduction to Deep Learning & Neural Networks with Keras: IBM
  • Building Generative AI Capabilities: University of Virginia Darden School Foundation
  • Building Smart Business Assistants with IBM Watson: Coursera

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