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  • Using Machine Learning In Science And Engineering

Results for "using machine learning in science and engineering"


  • Status: Preview
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    S

    Stanford University

    Writing in the Sciences

    Skills you'll gain: Grant Writing, Peer Review, Technical Writing, Technical Communication, Writing, Scientific Methods, Journals, Editing, Grammar, Research, Proofreading, Healthcare Ethics, Media and Communications

    4.9
    Rating, 4.9 out of 5 stars
    ·
    9.7K reviews

    Beginner · Course · 1 - 3 Months

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    Nanyang Technological University, Singapore

    Introduction to Forensic Science

    Skills you'll gain: Criminal Investigation and Forensics, Scientific Methods, Chemistry, Blood Collection, Investigation, Case Studies, Biochemistry, Analytical Chemistry, Pharmacology, Laboratory Testing, Pathology, Molecular Biology, Deductive Reasoning, Estimation

    4.9
    Rating, 4.9 out of 5 stars
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    2.8K reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Structuring Machine Learning Projects

    Skills you'll gain: Transfer Learning, Deep Learning, Applied Machine Learning, Machine Learning, MLOps (Machine Learning Operations), Debugging, AI Product Strategy, Model Evaluation, Data-Driven Decision-Making, Performance Tuning

    4.8
    Rating, 4.8 out of 5 stars
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    50K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    C

    Coursera

    Project Management in Healthcare : Tools and Tactics

    Skills you'll gain: Healthcare Project Management, Project Risk Management, Performance Metric, Continuous Improvement Process, Risk Management, Project Coordination, Health Care Procedure and Regulation, Project Management Software, Workflow Management, Project Management, Collaboration, Team Building, Project Implementation, Regulatory Affairs, Compliance Management, Operational Efficiency

    5
    Rating, 5 out of 5 stars
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    6 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
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    Status: Free Trial
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    S

    SAS

    SAS Machine Learning Engineer

    Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), Data Preprocessing, Exploratory Data Analysis, Logistic Regression, Statistical Machine Learning, Model Evaluation, Supervised Learning, Decision Tree Learning, Probability & Statistics, Statistics, Machine Learning Software, Classification And Regression Tree (CART), Workflow Management, Predictive Modeling, Random Forest Algorithm, Feature Engineering, SAS (Software), Machine Learning, Applied Machine Learning

    4.7
    Rating, 4.7 out of 5 stars
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    103 reviews

    Advanced · Professional Certificate · 3 - 6 Months

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    J

    Johns Hopkins University

    Foundations of Healthcare Systems Engineering

    Skills you'll gain: Verification And Validation, Health Systems, Systems Engineering, Model Based Systems Engineering, Health Technology, Healthcare Industry Knowledge, Systems Integration, Requirements Analysis, Enterprise Architecture, Conceptual Design

    4.7
    Rating, 4.7 out of 5 stars
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    302 reviews

    Mixed · Course · 1 - 4 Weeks

  • G

    Google Cloud

    Machine Learning in the Enterprise - 한국어

    Skills you'll gain: MLOps (Machine Learning Operations), Data Preprocessing, Model Deployment, Data Management, Data Governance, AI Workflows, Google Cloud Platform, Tensorflow, Data Pipelines, Model Evaluation, Predictive Modeling, Machine Learning, Cloud Deployment, Containerization, Performance Tuning

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Supervised Machine Learning: Classification

    Skills you'll gain: Classification Algorithms, Supervised Learning, Model Evaluation, Data Preprocessing, Logistic Regression, Decision Tree Learning, Predictive Modeling, Scikit Learn (Machine Learning Library), Data Cleansing, Machine Learning, Feature Engineering, Random Forest Algorithm, Sampling (Statistics), Performance Metric

    4.8
    Rating, 4.8 out of 5 stars
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    451 reviews

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    Using Basic Formulas and Functions in Microsoft Excel

    Skills you'll gain: Excel Formulas, Spreadsheet Software, Microsoft Excel, Microsoft Office, Microsoft 365, Data Analysis, Business Mathematics

    4.6
    Rating, 4.6 out of 5 stars
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    2.5K reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
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    J

    Johns Hopkins University

    Advanced Statistics for Data Science

    Skills you'll gain: Statistical Hypothesis Testing, Sampling (Statistics), Regression Analysis, Bayesian Statistics, Statistical Analysis, Probability & Statistics, Statistical Inference, Statistical Methods, Statistical Modeling, Linear Algebra, Probability, Probability Distribution, R Programming, Biostatistics, Data Science, Statistics, Mathematical Modeling, Data Analysis, Data Modeling, Applied Mathematics

    4.4
    Rating, 4.4 out of 5 stars
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    786 reviews

    Advanced · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    V

    Vanderbilt University

    Advanced Prompt Engineering for Everyone

    Skills you'll gain: Prompt Engineering, Retrieval-Augmented Generation, Prompt Patterns, Generative AI, ChatGPT, AI Personalization, Anthropic Claude, LLM Application, Large Language Modeling, Artificial Intelligence, Context Management, Model Evaluation, Data Analysis, Verification And Validation

    4.8
    Rating, 4.8 out of 5 stars
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    489 reviews

    Intermediate · Course · 1 - 3 Months

  • P

    Packt

    No-Code Machine Learning Using Amazon AWS SageMaker Canvas

    Skills you'll gain: AWS SageMaker, Applied Machine Learning, Model Evaluation, Amazon Web Services, No-Code Development, Machine Learning, Supervised Learning, Cloud Platforms, Predictive Modeling, Amazon S3, Version Control, Data Preprocessing, Model Deployment

    Beginner · Course · 1 - 3 Months

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In summary, here are 10 of our most popular using machine learning in science and engineering courses

  • Writing in the Sciences: Stanford University
  • Introduction to Forensic Science: Nanyang Technological University, Singapore
  • Structuring Machine Learning Projects: DeepLearning.AI
  • Project Management in Healthcare : Tools and Tactics: Coursera
  • SAS Machine Learning Engineer: SAS
  • Foundations of Healthcare Systems Engineering: Johns Hopkins University
  • Machine Learning in the Enterprise - 한국어: Google Cloud
  • Supervised Machine Learning: Classification: IBM
  • Using Basic Formulas and Functions in Microsoft Excel: Coursera
  • Advanced Statistics for Data Science: Johns Hopkins University

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