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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

    Sungkyunkwan University

    Machine Learning for Smart Beta

    Skills you'll gain: Data Processing, Data Preprocessing, Portfolio Management, Investment Management, Classification And Regression Tree (CART), Statistical Machine Learning, Investments, Machine Learning Algorithms, Applied Machine Learning, R Programming, Feature Engineering, Machine Learning, Financial Modeling, Model Evaluation, Supervised Learning, Asset Management

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    Statistics for Data Science with Python

    Skills you'll gain: Descriptive Statistics, Statistical Analysis, Data Analysis, Probability Distribution, Statistics, Data Visualization, Statistical Methods, Statistical Hypothesis Testing, Regression Analysis, Probability & Statistics, Scientific Visualization, Data Science, Matplotlib, Exploratory Data Analysis, Probability, Correlation Analysis, Pandas (Python Package), Jupyter

    4.5
    Rating, 4.5 out of 5 stars
    ·
    452 reviews

    Mixed · Course · 1 - 3 Months

  • C

    Coursera

    Conditional Formatting, Tables and Charts in Microsoft Excel

    Skills you'll gain: Data Literacy, Microsoft Excel, Data Visualization Software, Spreadsheet Software, Pivot Tables And Charts, Exploratory Data Analysis, Data Analysis Software, Data Analysis

    4.7
    Rating, 4.7 out of 5 stars
    ·
    255 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    P

    Packt

    Building Recommender Systems with Machine Learning and AI

    Skills you'll gain: Apache Spark, Artificial Intelligence and Machine Learning (AI/ML), AWS SageMaker, Scalability, Tensorflow, Dimensionality Reduction, Autoencoders, Applied Machine Learning, Python Programming, Fraud detection, Unsupervised Learning, Data Preprocessing, Model Evaluation, Performance Tuning

    Intermediate · Course · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    W

    Whizlabs

    Data Engineering in AWS

    Skills you'll gain: Data Collection, AWS SageMaker, Feature Engineering, Data Preprocessing, Amazon Web Services, Data Migration, Data Cleansing, Jupyter, Dimensionality Reduction, Machine Learning

    4
    Rating, 4 out of 5 stars
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    26 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
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    Pearson

    Learn MLOps for Machine Learning

    Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, AWS SageMaker, CI/CD, Data Management, Cloud Deployment, Model Evaluation, Data Preprocessing, Machine Learning, Automation, Data Pipelines, Continuous Monitoring

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    Generative AI: Prompt Engineering Basics

    Skills you'll gain: Prompt Engineering, Prompt Patterns, ChatGPT, Generative AI, AI Workflows, Context Management, Decision Making

    4.8
    Rating, 4.8 out of 5 stars
    ·
    7.7K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
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    Packt

    Fundamentals of AI, Machine Learning, and Python Programming

    Skills you'll gain: NumPy, PyTorch (Machine Learning Library), Predictive Modeling, Matplotlib, Artificial Intelligence, Development Environment, Pandas (Python Package), Deep Learning, Classification And Regression Tree (CART), Python Programming, Artificial Neural Networks, Data Manipulation, Tensorflow, Regression Analysis, Machine Learning, Computer Programming, Model Evaluation

    Beginner · Course · 3 - 6 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    Status: AI skills
    AI skills
    D

    DeepLearning.AI

    PyTorch for Deep Learning

    Skills you'll gain: PyTorch (Machine Learning Library), Model Deployment, Convolutional Neural Networks, Transfer Learning, Generative AI, Deep Learning, Image Analysis, MLOps (Machine Learning Operations), Data Pipelines, Embeddings, Artificial Neural Networks, Model Evaluation, Data Preprocessing, Software Visualization, Computer Vision, Natural Language Processing, Machine Learning

    4.8
    Rating, 4.8 out of 5 stars
    ·
    60 reviews

    Intermediate · Professional Certificate · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    W

    Whizlabs

    Azure ML: Designing and Preparing Machine Learning Solutions

    Skills you'll gain: Model Deployment, Data Management, Data Pipelines, Statistical Modeling

    Intermediate · Course · 1 - 4 Weeks

  • G

    Google Cloud

    Machine Learning in the Enterprise - 日本語版

    Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Workflow Management, Google Cloud Platform, Data Management, AI Workflows, Data Governance, Data Preprocessing, Model Evaluation, Data Pipelines, Machine Learning, Feature Engineering

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    F

    Fundação Instituto de Administração

    Machine Learning Aplicado ao Marketing

    Skills you'll gain: Big Data, Data Mining, Data-Driven Decision-Making, Marketing Automation, Marketing Strategies, Customer experience strategy (CX), Digital Transformation, Marketing Analytics, Ggplot2, Marketing, Data Visualization Software, Plot (Graphics), Data Modeling, R Programming, Analytics, Data Science, Data Analysis, Innovation, Business Analytics, Data Manipulation

    4.3
    Rating, 4.3 out of 5 stars
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    59 reviews

    Beginner · Specialization · 1 - 3 Months

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

  • Machine Learning for Smart Beta: Sungkyunkwan University
  • Statistics for Data Science with Python: IBM
  • Conditional Formatting, Tables and Charts in Microsoft Excel: Coursera
  • Building Recommender Systems with Machine Learning and AI: Packt
  • Data Engineering in AWS: Whizlabs
  • Learn MLOps for Machine Learning: Pearson
  • Generative AI: Prompt Engineering Basics: IBM
  • Fundamentals of AI, Machine Learning, and Python Programming: Packt
  • PyTorch for Deep Learning: DeepLearning.AI
  • Azure ML: Designing and Preparing Machine Learning Solutions: Whizlabs

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