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  • Using Machine Learning In Science And Engineering

Results for "using+machine+learning+in+science+and+engineering"


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    Northeastern University

    Machine Learning and Data Analytics Part 2

    Skills you'll gain: Text Mining, Data Mining, Time Series Analysis and Forecasting, Classification Algorithms, Big Data, Artificial Neural Networks, Regression Analysis, Data Science, Machine Learning Algorithms, Supervised Learning, Feature Engineering, Unsupervised Learning, Analytics, Predictive Modeling, Forecasting, Advanced Analytics, Deep Learning, Data Preprocessing

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
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    Johns Hopkins University

    Applied Machine Learning: Techniques and Applications

    Skills you'll gain: Computer Vision, Model Evaluation, Supervised Learning, Image Analysis, Data Preprocessing, Applied Machine Learning, Feature Engineering, Machine Learning Algorithms, Data Processing, Machine Learning, Data Cleansing, Scikit Learn (Machine Learning Library), Data Integration, Data Transformation, Data Manipulation, Classification Algorithms

    3.7
    Rating, 3.7 out of 5 stars
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    12 reviews

    Intermediate · Course · 1 - 4 Weeks

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    Coursera

    Data and Machine Learning for Technical Product Managers

    Skills you'll gain: Model Evaluation, Technical Communication, Technical Product Management, Workflow Management, Performance Metric, Data Analysis, Agile Methodology, Project Management, Stakeholder Communications, Communication, Data-Driven Decision-Making, Machine Learning, R Programming, Data Visualization

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    S

    SAS

    The Power of Machine Learning: Boost Business, Accumulate Clicks, Fight Fraud, and Deny Deadbeats

    Skills you'll gain: Predictive Modeling, Predictive Analytics, Data Preprocessing, Model Evaluation, Responsible AI, Data-Driven Decision-Making, Machine Learning, Applied Machine Learning, Business Ethics, Decision Tree Learning, Business Analytics, Artificial Intelligence, Technical Management, Data Science, Social Justice

    4.7
    Rating, 4.7 out of 5 stars
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    149 reviews

    Beginner · Course · 1 - 3 Months

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    EDUCBA

    Machine Learning with Python: Case Studies

    Skills you'll gain: Model Evaluation, Classification Algorithms, Regression Analysis, Feature Engineering, Time Series Analysis and Forecasting, Applied Machine Learning, Predictive Modeling, Credit Risk, Supervised Learning, Statistical Modeling, Unsupervised Learning, Machine Learning, Python Programming, Data Visualization, Data Preprocessing

    Mixed · Course · 1 - 4 Weeks

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    National Taiwan University

    機器學習基石下 (Machine Learning Foundations)---Algorithmic Foundations

    Skills you'll gain: Classification Algorithms, Supervised Learning, Machine Learning, Machine Learning Algorithms, Logistic Regression, Data Validation, Applied Machine Learning, Data Preprocessing, Model Evaluation, Algorithms, Programming Principles, Regression Analysis, Feature Engineering, Statistical Methods

    4.9
    Rating, 4.9 out of 5 stars
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    331 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
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    Alberta Machine Intelligence Institute

    Optimizing Machine Learning Performance

    Skills you'll gain: Responsible AI, Data Ethics, MLOps (Machine Learning Operations), Model Deployment, Business Operations, Machine Learning, Ethical Standards And Conduct, Operational Analysis, Applied Machine Learning, Business Strategy, AI Enablement, AI Product Strategy, Model Evaluation, Data Maintenance, Performance Tuning, Risk Mitigation, Performance Metric, Continuous Monitoring, Systems Integration, Stakeholder Communications

    4.4
    Rating, 4.4 out of 5 stars
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    51 reviews

    Mixed · Course · 1 - 4 Weeks

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    Coursera

    Scikit-Learn For Machine Learning Classification Problems

    Skills you'll gain: Scikit Learn (Machine Learning Library), Classification Algorithms, Applied Machine Learning, Machine Learning Algorithms, Supervised Learning, Random Forest Algorithm, Machine Learning, Unsupervised Learning, Data Analysis

    4.6
    Rating, 4.6 out of 5 stars
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    18 reviews

    Beginner · Guided Project · Less Than 2 Hours

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    H2O.ai

    Practical Machine Learning on H2O

    Skills you'll gain: Model Evaluation, Unsupervised Learning, Deep Learning, Autoencoders, Anomaly Detection, Applied Machine Learning, Machine Learning, Supervised Learning, Decision Tree Learning, Predictive Modeling, Classification Algorithms, Data Preprocessing, Random Forest Algorithm, Data Manipulation, Feature Engineering, Dimensionality Reduction

    4.5
    Rating, 4.5 out of 5 stars
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    74 reviews

    Intermediate · Course · 1 - 3 Months

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    Northeastern University

    Applied Natural Language Processing in Engineering Part 1

    Skills you'll gain: Natural Language Processing, Model Evaluation, Embeddings, Text Mining, Artificial Intelligence, Recurrent Neural Networks (RNNs), Artificial Neural Networks, Deep Learning, Machine Learning, Unsupervised Learning, Dimensionality Reduction

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
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    Microsoft

    Microsoft Azure Machine Learning for Data Scientists

    Skills you'll gain: Responsible AI, Microsoft Azure, Unsupervised Learning, Databricks, MLOps (Machine Learning Operations), Applied Machine Learning, Classification Algorithms, Regression Analysis, Scikit Learn (Machine Learning Library), Predictive Modeling, Model Deployment, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Model Evaluation, Supervised Learning, Virtual Machines, Data Pipelines

    4.3
    Rating, 4.3 out of 5 stars
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    176 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
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    EDUCBA

    Machine Learning with Python: Build & Optimize

    Skills you'll gain: Matplotlib, Data Preprocessing, Regression Analysis, Scikit Learn (Machine Learning Library), Data Visualization, Python Programming, Applied Machine Learning, Pandas (Python Package), Model Evaluation, NumPy, Predictive Modeling, Machine Learning Algorithms, Machine Learning, Data Manipulation, Dimensionality Reduction, Statistical Methods, Data Transformation, Feature Engineering, Unsupervised Learning, Performance Tuning

    Mixed · Course · 1 - 4 Weeks

1…6789

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

  • Machine Learning and Data Analytics Part 2: Northeastern University
  • Applied Machine Learning: Techniques and Applications: Johns Hopkins University
  • Data and Machine Learning for Technical Product Managers: Coursera
  • The Power of Machine Learning: Boost Business, Accumulate Clicks, Fight Fraud, and Deny Deadbeats: SAS
  • Machine Learning with Python: Case Studies: EDUCBA
  • 機器學習基石下 (Machine Learning Foundations)---Algorithmic Foundations: National Taiwan University
  • Optimizing Machine Learning Performance: Alberta Machine Intelligence Institute
  • Scikit-Learn For Machine Learning Classification Problems: Coursera
  • Practical Machine Learning on H2O: H2O.ai
  • Applied Natural Language Processing in Engineering Part 1: Northeastern University

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