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  • Using Machine Learning In Science And Engineering

Results for "using machine learning in science and engineering"


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    N

    Northeastern University

    Statistical Learning for Engineering Part 1

    Skills you'll gain: Unsupervised Learning, Supervised Learning, Regression Analysis, Applied Machine Learning, Statistical Modeling, Machine Learning Algorithms, PyTorch (Machine Learning Library), Statistical Methods, Statistical Machine Learning, Machine Learning, Predictive Analytics, Predictive Modeling, Machine Learning Software, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Classification Algorithms, Logistic Regression, Unstructured Data, Model Evaluation, Dimensionality Reduction

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
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    Microsoft

    Create Machine Learning Models in Microsoft Azure

    Skills you'll gain: Unsupervised Learning, Scikit Learn (Machine Learning Library), PyTorch (Machine Learning Library), Convolutional Neural Networks, Exploratory Data Analysis, Deep Learning, Microsoft Azure, Data Visualization, Classification Algorithms, Applied Machine Learning, Regression Analysis, Predictive Modeling, Data Analysis, Image Analysis, Artificial Intelligence and Machine Learning (AI/ML), Data Science, MLOps (Machine Learning Operations), Transfer Learning, Machine Learning, Tensorflow

    4.5
    Rating, 4.5 out of 5 stars
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    322 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
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    Pearson

    AWS Certified Machine Learning - Specialty

    Skills you'll gain: Model Deployment, Exploratory Data Analysis, Model Evaluation, Cloud Deployment, Data Preprocessing, Data Analysis, Amazon Elastic Compute Cloud, Application Deployment, Predictive Modeling, Data Pipelines, Extract, Transform, Load, Data Processing

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    S

    SAS

    Machine Learning Rock Star – the End-to-End Practice

    Skills you'll gain: Predictive Modeling, Responsible AI, Predictive Analytics, Machine Learning, Data Ethics, Data Preprocessing, Technical Management, Model Evaluation, MLOps (Machine Learning Operations), Applied Machine Learning, Data-Driven Decision-Making, Statistical Modeling, Performance Reporting, Supervised Learning, Business Ethics, Decision Tree Learning, Artificial Intelligence and Machine Learning (AI/ML), Business Analytics, Data Science, Machine Learning Algorithms

    4.8
    Rating, 4.8 out of 5 stars
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    190 reviews

    Beginner · Specialization · 3 - 6 Months

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    EDUCBA

    Machine Learning with Python & Statistics

    Skills you'll gain: Sampling (Statistics), Data Mining, Statistical Hypothesis Testing, Probability, Linear Algebra, Statistical Analysis, Statistical Inference, Data Analysis, Probability Distribution, Statistics, Machine Learning Algorithms, Machine Learning, Python Programming

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
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    MathWorks

    Machine Learning for Computer Vision

    Skills you'll gain: Computer Vision, Model Evaluation, Image Analysis, Matlab, Machine Learning Methods, Data Preprocessing, Machine Learning, Classification Algorithms, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Algorithms, Deep Learning, Data Validation

    4.8
    Rating, 4.8 out of 5 stars
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    23 reviews

    Beginner · Course · 1 - 4 Weeks

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    EDUCBA

    Machine Learning in Python: Analyze & Apply

    Skills you'll gain: Matplotlib, NumPy, Pandas (Python Package), Applied Machine Learning, Python Programming, Scikit Learn (Machine Learning Library), Data Visualization, Supervised Learning, Feature Engineering, Machine Learning, Natural Language Processing, Machine Learning Algorithms, Text Mining, Data Manipulation, Unsupervised Learning, Model Evaluation, Data Preprocessing, Classification Algorithms

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
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    Johns Hopkins University

    Practical Machine Learning

    Skills you'll gain: Model Evaluation, Predictive Modeling, Machine Learning Algorithms, Statistical Machine Learning, Feature Engineering, Supervised Learning, Predictive Analytics, Applied Machine Learning, Data Preprocessing, R Programming, Classification Algorithms, Machine Learning, Random Forest Algorithm, Regression Analysis, Exploratory Data Analysis, Data Wrangling

    4.5
    Rating, 4.5 out of 5 stars
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    3.3K reviews

    Mixed · Course · 1 - 4 Weeks

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    The University of Chicago

    Machine Learning: Concepts and Applications

    Skills you'll gain: Keras (Neural Network Library), Unsupervised Learning, Machine Learning Algorithms, Deep Learning, Machine Learning, Applied Machine Learning, Scikit Learn (Machine Learning Library), Classification Algorithms, Supervised Learning, Regression Analysis, Random Forest Algorithm, Dimensionality Reduction, Model Evaluation, Data Preprocessing, Statistical Methods, Tensorflow, Feature Engineering, Pandas (Python Package)

    3.9
    Rating, 3.9 out of 5 stars
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    25 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
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    Microsoft

    AI and Machine Learning Algorithms and Techniques

    Skills you'll gain: Unsupervised Learning, Generative AI, Large Language Modeling, Supervised Learning, Deep Learning, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Reinforcement Learning, Predictive Modeling, Machine Learning Algorithms, Artificial Neural Networks, Feature Engineering, Unstructured Data, Model Evaluation, Convolutional Neural Networks, Data Preprocessing, Dimensionality Reduction, Model Deployment

    4.7
    Rating, 4.7 out of 5 stars
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    58 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
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    Wesleyan University

    Machine Learning for Data Analysis

    Skills you'll gain: Classification And Regression Tree (CART), Decision Tree Learning, Model Evaluation, Random Forest Algorithm, Applied Machine Learning, Predictive Analytics, Unsupervised Learning, Machine Learning Algorithms, Machine Learning, Data Analysis, Data Mining, Feature Engineering, Exploratory Data Analysis, Regression Analysis, Statistical Analysis, Python Programming

    4.2
    Rating, 4.2 out of 5 stars
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    327 reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Preview
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    N

    Northeastern University

    Machine Learning for Engineers: Algorithms and Applications

    Skills you'll gain: Model Evaluation, Supervised Learning, Statistical Machine Learning, Machine Learning Algorithms, Unsupervised Learning, PyTorch (Machine Learning Library), Applied Machine Learning, Statistical Methods, Statistical Modeling, Machine Learning, Machine Learning Software, Statistical Analysis, Artificial Intelligence and Machine Learning (AI/ML), Regression Analysis, Classification Algorithms, Algorithms, Predictive Modeling, Dimensionality Reduction, Complex Problem Solving

    Intermediate · Course · 1 - 4 Weeks

1…456…834

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

  • Statistical Learning for Engineering Part 1: Northeastern University
  • Create Machine Learning Models in Microsoft Azure: Microsoft
  • AWS Certified Machine Learning - Specialty: Pearson
  • Machine Learning Rock Star – the End-to-End Practice: SAS
  • Machine Learning with Python & Statistics: EDUCBA
  • Machine Learning for Computer Vision: MathWorks
  • Machine Learning in Python: Analyze & Apply: EDUCBA
  • Practical Machine Learning: Johns Hopkins University
  • Machine Learning: Concepts and Applications: The University of Chicago
  • AI and Machine Learning Algorithms and Techniques: Microsoft

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