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  • Using Machine Learning In Science And Engineering

Results for "using machine learning in science and engineering"


  • Status: Free Trial
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    D

    Duke University

    Spark, Hadoop, and Snowflake for Data Engineering

    Skills you'll gain: PySpark, Databricks, Data Pipelines, Apache Spark, MLOps (Machine Learning Operations), Apache Hadoop, Big Data, Data Warehousing, Data Quality, Data Integration, Data Processing, Database Architecture and Administration, DevOps, Distributed Computing, Data Transformation, SQL, Python Programming

    3.9
    Rating, 3.9 out of 5 stars
    ·
    62 reviews

    Advanced · Course · 1 - 4 Weeks

  • G

    Google Cloud

    Machine Learning Operations (MLOps) with Vertex AI: Model Evaluation - Deutsch

    Skills you'll gain: Model Evaluation, MLOps (Machine Learning Operations), Generative AI, Continuous Monitoring, Model Deployment, Google Cloud Platform, Predictive Modeling, AI Security

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    D

    Duke University

    Linux and Bash for Data Engineering

    Skills you'll gain: Bash (Scripting Language), Linux Commands, Shell Script, Linux, Linux Administration, Unix Shell, File Management, Unix, Unix Commands, Scripting, File Systems, Command-Line Interface, Scripting Languages, Remote Access Systems, Data Manipulation, Data Processing, Data Management, Development Environment

    4.6
    Rating, 4.6 out of 5 stars
    ·
    132 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    P

    Packt

    Python Fundamentals and Data Science Essentials

    Skills you'll gain: Matplotlib, Linear Algebra, Data Visualization, NumPy, Machine Learning Algorithms, Pandas (Python Package), Seaborn, Data Science, Machine Learning, Data Analysis, Supervised Learning, Python Programming, Jupyter, Data Manipulation, Classification Algorithms, Regression Analysis, Data Structures, Software Installation

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Trees, SVM and Unsupervised Learning

    Skills you'll gain: Model Evaluation, Applied Machine Learning, Unsupervised Learning, Classification And Regression Tree (CART), Decision Tree Learning, Artificial Neural Networks, Classification Algorithms, Supervised Learning, Machine Learning Algorithms, Random Forest Algorithm, Predictive Modeling, Artificial Intelligence and Machine Learning (AI/ML), Dimensionality Reduction, Statistics

    Build toward a degree

    4.4
    Rating, 4.4 out of 5 stars
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    8 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    I

    IBM

    Data Engineering Foundations

    Skills you'll gain: Web Scraping, Database Design, SQL, MySQL, Data Transformation, Data Store, IBM DB2, Extract, Transform, Load, Data Architecture, Data Pipelines, Big Data, Databases, Database Management, Data Warehousing, Data Governance, Relational Databases, Stored Procedure, Data Import/Export, Programming Principles, Python Programming

    4.6
    Rating, 4.6 out of 5 stars
    ·
    59K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Preview
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    G

    Georgia Institute of Technology

    Advanced Engineering Systems in Motion: Dynamics of Three Dimensional (3D) Motion

    Skills you'll gain: Mechanics, Torque (Physics), Engineering Analysis, Differential Equations, Engineering, Applied Mathematics, Physics, Trigonometry, Advanced Mathematics, Calculus

    4.8
    Rating, 4.8 out of 5 stars
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    310 reviews

    Mixed · Course · 1 - 3 Months

  • C

    Coursera

    Tidy Messy Data using tidyr in R

    Skills you'll gain: Ggplot2, Data Cleansing, Tidyverse (R Package), Data Wrangling, Data Transformation, Data Visualization, R Programming, Data Manipulation, Data Analysis, Data Management, Pivot Tables And Charts

    4.6
    Rating, 4.6 out of 5 stars
    ·
    10 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Rocket Science 101

    Skills you'll gain: Mechanics, Environmental Monitoring, Global Positioning Systems, Engineering, Physics, Environment, Physical Science, Climate Change Programs, Trigonometry, Geographic Information Systems, Research, Scientific Methods, Manufacturing and Production, Calculus, World History, Chemical Engineering, International Relations, Engineering, Scientific, and Technical Instruments, Political Sciences, Emerging Technologies

    4.9
    Rating, 4.9 out of 5 stars
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    58 reviews

    Beginner · Specialization · 1 - 3 Months

  • Status: Preview
    Preview
    T

    Tsinghua University

    MOOC and Blended Learning

    Skills you'll gain: Blended Learning, Digital pedagogy, Education Software and Technology, Learning Management Systems, Student-Centred Learning, Emerging Technologies, Innovation

    4.3
    Rating, 4.3 out of 5 stars
    ·
    33 reviews

    Beginner · Course · 1 - 3 Months

  • C

    Coursera

    Encryption and Decryption using C++

    Skills you'll gain: Cryptography, Encryption, Application Development, Security Engineering, Application Security, C++ (Programming Language)

    4.1
    Rating, 4.1 out of 5 stars
    ·
    15 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    I

    IBM

    Generative AI Engineering and Fine-Tuning Transformers

    Skills you'll gain: Generative AI, Large Language Modeling, Prompt Engineering, Transfer Learning, PyTorch (Machine Learning Library), Performance Tuning, Natural Language Processing

    4.6
    Rating, 4.6 out of 5 stars
    ·
    102 reviews

    Intermediate · Course · 1 - 4 Weeks

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

  • Spark, Hadoop, and Snowflake for Data Engineering: Duke University
  • Machine Learning Operations (MLOps) with Vertex AI: Model Evaluation - Deutsch: Google Cloud
  • Linux and Bash for Data Engineering: Duke University
  • Python Fundamentals and Data Science Essentials: Packt
  • Trees, SVM and Unsupervised Learning: University of Colorado Boulder
  • Data Engineering Foundations: IBM
  • Advanced Engineering Systems in Motion: Dynamics of Three Dimensional (3D) Motion: Georgia Institute of Technology
  • Tidy Messy Data using tidyr in R: Coursera
  • Rocket Science 101: University of Michigan
  • MOOC and Blended Learning: Tsinghua University

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