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  • Applying Ai Based Optimization In Science And Engineering

Results for "applying ai-based optimization in science and engineering"


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    K

    Korea Advanced Institute of Science and Technology(KAIST)

    AI Materials

    Skills you'll gain: AI Enablement, Artificial Intelligence, Materials science, Artificial Neural Networks, Image Analysis, Computer Vision, Manufacturing Processes, Machine Learning, Process Control

    4.7
    Rating, 4.7 out of 5 stars
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    50 reviews

    Beginner · Course · 1 - 3 Months

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    Arm

    Optimizing Generative AI on Arm Processors

    Skills you'll gain: Generative AI, Model Deployment, Large Language Modeling, Transfer Learning, Artificial Intelligence and Machine Learning (AI/ML), PyTorch (Machine Learning Library), Cloud Deployment, Performance Tuning, Hardware Architecture, Deep Learning, Embedded Systems, Computer Hardware, Scalability

    Intermediate · Course · 1 - 4 Weeks

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    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

  • C

    Coursera

    Optimize TensorFlow Models For Deployment with TensorRT

    Skills you'll gain: Keras (Neural Network Library), Tensorflow, Applied Machine Learning, Deep Learning, Performance Tuning, Convolutional Neural Networks, Model Deployment, Python Programming

    4.5
    Rating, 4.5 out of 5 stars
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    76 reviews

    Intermediate · Guided Project · Less Than 2 Hours

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    K

    Korea Advanced Institute of Science and Technology(KAIST)

    Math for AI Beginner Part 2 : Vector Calulus

    Skills you'll gain: Engineering Calculations, Applied Mathematics, Engineering Analysis, Artificial Intelligence, Artificial Intelligence and Machine Learning (AI/ML), Calculus, Mathematical Modeling, Advanced Mathematics, Machine Learning

    Beginner · Course · 1 - 3 Months

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    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, Model Evaluation, Data Cleansing, 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

  • C

    Coursera

    ML Parameters Optimization: GridSearch, Bayesian, Random

    Skills you'll gain: Model Evaluation, Scikit Learn (Machine Learning Library), Regression Analysis, Performance Tuning, Applied Machine Learning, Machine Learning Methods, Machine Learning, Bayesian Statistics, Data Analysis

    4.9
    Rating, 4.9 out of 5 stars
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    8 reviews

    Beginner · Guided Project · Less Than 2 Hours

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    Northeastern University

    Applied Natural Language Processing in Engineering Part 1

    Skills you'll gain: Natural Language Processing, Model Evaluation, Embeddings, Text Mining, Artificial Intelligence, Recurrent Neural Networks (RNNs), Artificial Neural Networks, Deep Learning, Machine Learning, Unsupervised Learning, Dimensionality Reduction

    Mixed · Course · 1 - 3 Months

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    K

    Khalifa University

    AI for Executives: AI for Business Decision Making

    Skills you'll gain: AI Enablement, Feature Engineering, Responsible AI, Data Preprocessing, Strategic Decision-Making, Business Leadership, Data-Driven Decision-Making, Data Ethics, Business Analytics, Natural Language Processing, Large Language Modeling, Artificial Intelligence, Predictive Analytics, Advanced Analytics, Governance, Data Governance, Systems Integration, Business Ethics, Workflow Management, Applied Machine Learning

    Beginner · Course · 1 - 4 Weeks

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    U

    University of Washington

    Designing Autonomous AI

    Skills you'll gain: AI Orchestration, Organizational Skills, Process Design, Artificial Intelligence, Functional Design, Goal Setting, Verification And Validation, Reinforcement Learning, Knowledge Transfer, Software Architecture, Interviewing Skills, Software Design Patterns, Decision Making

    4.8
    Rating, 4.8 out of 5 stars
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    13 reviews

    Beginner · Course · 1 - 4 Weeks

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    F

    Fred Hutchinson Cancer Center

    Determining AI Needs

    Skills you'll gain: Model Evaluation, AI Enablement, AI Product Strategy, AI Security, Artificial Intelligence, Project Design, Goal Setting, Decision Making, Usability Testing, Needs Assessment, Project Planning, Cost Estimation, Resource Planning, Resource Management, Data Security

    4.1
    Rating, 4.1 out of 5 stars
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    31 reviews

    Intermediate · Course · 1 - 4 Weeks

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    B

    Board Infinity

    Generative AI in Software Development

    Skills you'll gain: Retrieval-Augmented Generation, Google Gemini, Engineering Software, Responsible AI, Embeddings, Gemini, Software Development Tools, AI Workflows

    Beginner · Course · 1 - 4 Weeks

1…789…834

In summary, here are 10 of our most popular applying ai-based optimization in science and engineering courses

  • AI Materials: Korea Advanced Institute of Science and Technology(KAIST)
  • Optimizing Generative AI on Arm Processors: Arm
  • LLM Engineering with RAG: Optimizing AI Solutions: Coursera
  • Optimize TensorFlow Models For Deployment with TensorRT: Coursera
  • Math for AI Beginner Part 2 : Vector Calulus: Korea Advanced Institute of Science and Technology(KAIST)
  • AI with Python: Apply & Implement ML Models: EDUCBA
  • ML Parameters Optimization: GridSearch, Bayesian, Random: Coursera
  • Applied Natural Language Processing in Engineering Part 1: Northeastern University
  • AI for Executives: AI for Business Decision Making: Khalifa University
  • Designing Autonomous AI: University of Washington

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