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  • Seismic Data Processing Using Ai

Results for "seismic data processing using ai "


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    Simplilearn

    Master the Basics of Digital Analytics Training

    Skills you'll gain: Data-Driven Decision-Making, Web Analytics, Performance Analysis, Operational Efficiency, Performance Measurement, Business Analytics, Business Intelligence, Analytics, Data Analysis

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    GenAI for Execs & Business Leaders: Formulate Your Use Case

    Skills you'll gain: Prompt Engineering, AI Product Strategy, Generative AI, Risk Analysis, Risk Mitigation, IBM Cloud, AI Enablement, Brainstorming, LLM Application, New Business Development, Strategic Decision-Making

    4.7
    Rating, 4.7 out of 5 stars
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    118 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    Johns Hopkins University

    Introduction to Genomic Technologies

    Skills you'll gain: Bioinformatics, Data Science, Molecular Biology, Data Analysis, Computer Science, Statistical Analysis, Computational Thinking, Biostatistics, Statistics, Software Engineering, Algorithms, Biology

    4.6
    Rating, 4.6 out of 5 stars
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    4.8K reviews

    Mixed · Course · 1 - 4 Weeks

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    Johns Hopkins University

    Statistical Inference

    Skills you'll gain: Statistical Inference, Statistical Hypothesis Testing, Probability & Statistics, Probability, Statistics, Bayesian Statistics, Statistical Methods, Statistical Modeling, Statistical Analysis, Probability Distribution, Sampling (Statistics), Sample Size Determination, Data Analysis

    4.2
    Rating, 4.2 out of 5 stars
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    4.5K reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
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    Duke University

    Machine Learning Foundations for Product Managers

    Skills you'll gain: Deep Learning, Model Evaluation, Unsupervised Learning, Classification And Regression Tree (CART), Machine Learning, Regression Analysis, Artificial Intelligence and Machine Learning (AI/ML), Convolutional Neural Networks, Decision Tree Learning, Computer Vision, Logistic Regression, Supervised Learning, Natural Language Processing, Random Forest Algorithm, Data Science, Predictive Analytics, Algorithms

    4.7
    Rating, 4.7 out of 5 stars
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    729 reviews

    Intermediate · Course · 1 - 3 Months

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    Coursera

    Engineer Features and Evaluate Models for Production

    Skills you'll gain: MLOps (Machine Learning Operations), Feature Engineering, Model Evaluation, Data Preprocessing, Performance Analysis, Performance Tuning, Predictive Modeling, Data Pipelines, Data Transformation

    Intermediate · Course · 1 - 4 Weeks

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    Packt

    Excel Charts and Pivot Tables

    Skills you'll gain: Data Visualization, Dashboard, Exploratory Data Analysis

    Intermediate · Course · 1 - 4 Weeks

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    Cleveland Clinic

    Machine Learning in Healthcare: Foundations and Applications

    Skills you'll gain: Machine Learning Methods, Machine Learning, Machine Learning Algorithms, Healthcare Industry Knowledge, Health Informatics, Applied Machine Learning, Clinical Informatics, Health Care, Supervised Learning, Clinical Experience, Emerging Technologies, Artificial Intelligence, Reinforcement Learning, Data-Driven Decision-Making, Data Science

    Beginner · Course · 1 - 4 Weeks

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    Packt

    Real-world End to End Machine Learning Ops on Google Cloud

    Skills you'll gain: MLOps (Machine Learning Operations), Google Cloud Platform, Generative AI, Model Deployment, Cloud Management, Kubernetes, Large Language Modeling, CI/CD, Cloud Deployment, Machine Learning Methods, Continuous Deployment, Tensorflow, Model Evaluation, Apache Airflow, AI Workflows, Continuous Integration, Feature Engineering, Containerization, Performance Tuning

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
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    University of Michigan

    Applied Machine Learning in Python

    Skills you'll gain: Feature Engineering, Model Evaluation, Applied Machine Learning, Supervised Learning, Scikit Learn (Machine Learning Library), Predictive Modeling, Machine Learning, Decision Tree Learning, Unsupervised Learning, Python Programming, Random Forest Algorithm, Regression Analysis, Classification Algorithms, Artificial Neural Networks

    4.6
    Rating, 4.6 out of 5 stars
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    8.8K reviews

    Intermediate · Course · 1 - 4 Weeks

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    DeepLearning.AI

    Generative Adversarial Networks (GANs)

    Skills you'll gain: Generative Adversarial Networks (GANs), Generative Model Architectures, Generative AI, PyTorch (Machine Learning Library), Image Analysis, Convolutional Neural Networks, Deep Learning, Model Evaluation, Responsible AI, Artificial Neural Networks, Data Ethics, Machine Learning, Image Quality, Unsupervised Learning, Information Privacy, Data Synthesis

    4.7
    Rating, 4.7 out of 5 stars
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    2.4K reviews

    Intermediate · Specialization · 1 - 3 Months

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    Coursera

    LLM Optimization & Evaluation

    Skills you'll gain: Apache Airflow, MLOps (Machine Learning Operations), User Acceptance Testing (UAT), Prompt Patterns, LLM Application, AI Security, Extract, Transform, Load, Scripting, Technical Communication, SQL, Data Pipelines, PyTorch (Machine Learning Library), Miro AI, Data Presentation, Large Language Modeling, Python Programming, Performance Tuning, Root Cause Analysis, Statistical Analysis, Version Control

    Intermediate · Specialization · 3 - 6 Months

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In summary, here are 10 of our most popular seismic data processing using ai courses

  • Master the Basics of Digital Analytics Training: Simplilearn
  • GenAI for Execs & Business Leaders: Formulate Your Use Case: IBM
  • Introduction to Genomic Technologies: Johns Hopkins University
  • Statistical Inference: Johns Hopkins University
  • Machine Learning Foundations for Product Managers: Duke University
  • Engineer Features and Evaluate Models for Production: Coursera
  • Excel Charts and Pivot Tables: Packt
  • Machine Learning in Healthcare: Foundations and Applications: Cleveland Clinic
  • Real-world End to End Machine Learning Ops on Google Cloud: Packt
  • Applied Machine Learning in Python: University of Michigan

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