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  • Using Machine Learning In Science And Engineering

Results for "using machine learning in science and engineering"


  • Status: New
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    B

    Birla Institute of Technology & Science, Pilani

    Discrete Mathematics for Computer Science and Engineering

    Skills you'll gain: Theoretical Computer Science, Applied Mathematics, Algorithms, Cryptography, Relational Databases, Data Management

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Structuring Machine Learning Projects

    Skills you'll gain: Transfer Learning, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Machine Learning, Debugging, AI Product Strategy, Model Evaluation, Data-Driven Decision-Making, AI Workflows, Performance Tuning

    4.8
    Rating, 4.8 out of 5 stars
    ·
    50K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    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
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    9.7K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
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    I

    IBM

    Fundamentals of AI Agents Using RAG and LangChain

    Skills you'll gain: Prompt Engineering, Retrieval-Augmented Generation, LLM Application, Generative AI, Large Language Modeling, Hugging Face, PyTorch (Machine Learning Library), Embeddings, Natural Language Processing

    4.6
    Rating, 4.6 out of 5 stars
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    182 reviews

    Intermediate · Course · 1 - 4 Weeks

  • 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: New
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    U

    University of Colorado Boulder

    Introduction to Machine Learning: Supervised Learning

    Skills you'll gain: Statistical Modeling, Data Preprocessing

    Intermediate · Course · 1 - 3 Months

  • Status: New
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    U

    University of Cambridge

    Forensic Science: DNA Analysis

    Skills you'll gain: Criminal Investigation and Forensics, Investigation, Laboratory Testing, Statistical Analysis, Molecular Biology, Specimen Collection, Scientific Methods, Medical Science and Research, General Science and Research, Data Collection, Case Studies, Biology, Ethical Standards And Conduct

    4.7
    Rating, 4.7 out of 5 stars
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    6 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Introduction to Machine Learning: Supervised Learning

    Skills you'll gain: Supervised Learning, Machine Learning Algorithms, Model Evaluation, Applied Machine Learning, Scikit Learn (Machine Learning Library), Data Science, Decision Tree Learning, Random Forest Algorithm, Matplotlib, Classification Algorithms, Applied Mathematics, Exploratory Data Analysis, Feature Engineering, Python Programming, Regression Analysis, Logistic Regression, Data Cleansing, Performance Tuning

    Build toward a degree

    3.3
    Rating, 3.3 out of 5 stars
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    86 reviews

    Intermediate · Course · 1 - 3 Months

  • 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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    785 reviews

    Advanced · Specialization · 3 - 6 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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    450 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Supervised Machine Learning: Regression

    Skills you'll gain: Supervised Learning, Regression Analysis, Applied Machine Learning, Predictive Modeling, Machine Learning, Machine Learning Algorithms, Statistical Modeling, Logistic Regression, Model Evaluation, Data Preprocessing, Feature Engineering, Statistical Analysis, Classification Algorithms, Test Data, Performance Metric

    4.7
    Rating, 4.7 out of 5 stars
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    818 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    P

    Packt

    Intermediate Data Manipulation and Machine Learning

    Skills you'll gain: Model Evaluation, Classification Algorithms, Reinforcement Learning, Applied Machine Learning, Artificial Intelligence, Dimensionality Reduction, Statistical Analysis, Supervised Learning, Unsupervised Learning, Random Forest Algorithm, Feature Engineering, Logistic Regression, Data Manipulation

    Intermediate · Course · 3 - 6 Months

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

  • Discrete Mathematics for Computer Science and Engineering: Birla Institute of Technology & Science, Pilani
  • Structuring Machine Learning Projects: DeepLearning.AI
  • Writing in the Sciences: Stanford University
  • Fundamentals of AI Agents Using RAG and LangChain: IBM
  • Using Basic Formulas and Functions in Microsoft Excel: Coursera
  • Introduction to Machine Learning: Supervised Learning: University of Colorado Boulder
  • Forensic Science: DNA Analysis: University of Cambridge
  • Introduction to Machine Learning: Supervised Learning: University of Colorado Boulder
  • Advanced Statistics for Data Science: Johns Hopkins University
  • Supervised Machine Learning: Classification: IBM

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