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  • Using Machine Learning In Science And Engineering

Results for "using machine learning in science and engineering"


  • Status: Free Trial
    Free Trial
    F

    Fractal Analytics

    Foundations of Machine Learning

    Skills you'll gain: Model Evaluation, Model Deployment, Machine Learning, Supervised Learning, Regression Analysis, Decision Tree Learning, Feature Engineering, Data Preprocessing, Unsupervised Learning, Predictive Modeling, Logistic Regression, Anomaly Detection, Classification Algorithms

    4.5
    Rating, 4.5 out of 5 stars
    ·
    13 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Production Machine Learning Systems

    Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Systems Design, Tensorflow, Hybrid Cloud Computing, Google Cloud Platform, Systems Architecture, Performance Tuning, Machine Learning, Model Evaluation, Distributed Computing, Scalability

    4.6
    Rating, 4.6 out of 5 stars
    ·
    1K reviews

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Python Project for Data Science

    Skills you'll gain: Dashboard, Pandas (Python Package), Data Presentation, Web Scraping, Jupyter, Data Analysis, Data Science, Data Processing, Data Manipulation, Python Programming, Data Collection

    4.5
    Rating, 4.5 out of 5 stars
    ·
    4.8K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    U

    University of Toronto

    The Arts and Science of Relationships: Understanding Human Needs

    Skills you'll gain: Relationship Building, Social Skills, Active Listening, Interpersonal Communications, Communication, Empathy, Self-Awareness, Emotional Intelligence, Needs Assessment, Assertiveness, Psychology, Cultural Diversity

    4.5
    Rating, 4.5 out of 5 stars
    ·
    1.8K reviews

    Beginner · Course · 1 - 3 Months

  • C

    Coursera

    Small Business Marketing Using Facebook

    Skills you'll gain: Facebook, Marketing Analytics, Advertising, Digital Advertising, Social Media Content, Social Media Marketing, Social Media, Content Marketing, Scheduling, Target Audience, Social Media Management, Customer Engagement

    4.6
    Rating, 4.6 out of 5 stars
    ·
    269 reviews

    Mixed · Guided Project · Less Than 2 Hours

  • Status: Free
    Free
    D

    DeepLearning.AI

    Prompt Engineering with Llama 2&3

    Skills you'll gain: Prompt Engineering, LLM Application, Large Language Modeling, Responsible AI, AI Security, Code Review, Computer Programming Tools

    4.4
    Rating, 4.4 out of 5 stars
    ·
    50 reviews

    Beginner · Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Reliability, Cloud Computing and Machine Learning

    Skills you'll gain: Data Warehousing, Apache Hadoop, Transaction Processing, Distributed Computing, Data Architecture, Relational Databases, Database Management, Database Architecture and Administration, Cloud Computing, Big Data, Data Processing, Machine Learning, Scalability, Data Integrity, Disaster Recovery

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free
    Free
    C

    Coursera

    Tidymodels in R: Building tidy machine learning models

    Skills you'll gain: Tidyverse (R Package), Model Evaluation, Data Visualization, Clinical Data Management, Data Preprocessing, Data Manipulation, Predictive Modeling, R Programming, Predictive Analytics, Data Pipelines, Feature Engineering, Applied Machine Learning, Machine Learning, Random Forest Algorithm, Performance Tuning, Logistic Regression

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    E

    Edureka

    Machine Learning with PySpark

    Skills you'll gain: PySpark, Applied Machine Learning, Machine Learning, Logistic Regression

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    E

    EDUCBA

    Embedded Systems using C

    Skills you'll gain: C (Programming Language), Embedded Systems, Embedded Software, Debugging, System Programming, Hardware Architecture, Microarchitecture, Computer Architecture, Data Structures, Peripheral Devices

    4
    Rating, 4 out of 5 stars
    ·
    120 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    F

    Fractal Analytics

    Python for Data Science

    Skills you'll gain: Feature Engineering, Data Wrangling, Exploratory Data Analysis, Matplotlib, Statistical Analysis, Data Preprocessing, Seaborn, Data Science, Data Visualization Software, Data Manipulation, Data Cleansing, Data Analysis, Pandas (Python Package), Statistics, Business Analytics, Jupyter, Data Transformation, Descriptive Statistics, Correlation Analysis, Statistical Hypothesis Testing

    4.1
    Rating, 4.1 out of 5 stars
    ·
    98 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Colorado System

    Machine Learning for Marketers

    Skills you'll gain: Classification And Regression Tree (CART), AI Personalization, Marketing Analytics, Unsupervised Learning, Customer Analysis, Predictive Analytics, Applied Machine Learning, Supervised Learning, Dimensionality Reduction, Marketing Effectiveness, Marketing Strategies, Data-Driven Decision-Making, Strategic Marketing, Campaign Management, Customer experience improvement, Personalized Service, Customer Insights, Model Evaluation, Machine Learning

    Intermediate · Course · 1 - 4 Weeks

1…282930…834

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

  • Foundations of Machine Learning : Fractal Analytics
  • Production Machine Learning Systems: Google Cloud
  • Python Project for Data Science: IBM
  • The Arts and Science of Relationships: Understanding Human Needs: University of Toronto
  • Small Business Marketing Using Facebook: Coursera
  • Prompt Engineering with Llama 2&3: DeepLearning.AI
  • Reliability, Cloud Computing and Machine Learning: Johns Hopkins University
  • Tidymodels in R: Building tidy machine learning models: Coursera
  • Machine Learning with PySpark: Edureka
  • Embedded Systems using C: EDUCBA

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