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  • In Context Learning And Prompt Engineering

Results for "in-context learning and prompt engineering"


  • Status: Free Trial
    Free Trial
    L

    LearnKartS

    Introduction to AI and Machine Learning

    Skills you'll gain: AWS SageMaker, Data Preprocessing, Computer Vision, Natural Language Processing, Machine Learning, Data Wrangling, Reinforcement Learning, Artificial Intelligence, Model Deployment

    4.4
    Rating, 4.4 out of 5 stars
    ·
    9 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    E

    EDUCBA

    Deep Learning with ANN in Python: Build & Optimize

    Skills you'll gain: Keras (Neural Network Library), Tensorflow, Artificial Neural Networks, Deep Learning, Data Preprocessing, Model Evaluation, Customer Analysis, Applied Machine Learning, Scikit Learn (Machine Learning Library), Development Environment, Predictive Analytics, Pandas (Python Package), Data Cleansing

    4.7
    Rating, 4.7 out of 5 stars
    ·
    13 reviews

    Mixed · Course · 1 - 4 Weeks

  • G

    Google Cloud

    Feature Engineering - Italiano

    Skills you'll gain: Feature Engineering, Data Preprocessing, Dataflow, Tensorflow, Data Store, MLOps (Machine Learning Operations), Keras (Neural Network Library), Data Transformation, Data Modeling, Applied Machine Learning, Machine Learning

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    Using Basic Formulas and Functions in Microsoft Excel

    Skills you'll gain: Excel Formulas, Spreadsheet Software, Microsoft Excel, Microsoft Office, Microsoft 365, Data Analysis, Business Mathematics

    4.6
    Rating, 4.6 out of 5 stars
    ·
    2.5K reviews

    Beginner · Guided Project · Less Than 2 Hours

  • C

    Coursera

    How to Use Lookup Reference Math and Text Functions in Excel

    Skills you'll gain: Microsoft Excel, Excel Formulas, Spreadsheet Software, Data Analysis Expressions (DAX), Microsoft 365, Data Validation

    4.4
    Rating, 4.4 out of 5 stars
    ·
    525 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • 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: New
    New
    Status: Free Trial
    Free Trial
    U

    University of Colorado System

    Systems Engineering Fundamentals Part 2

    Skills you'll gain: Systems Engineering, Verification And Validation, Systems Architecture, Configuration Management, Systems Development Life Cycle, Systems Design, Reliability, Risk Management, Risk Management Framework, Systems Integration, Change Control, Requirements Analysis, Maintainability, Human Factors

    Intermediate · Course · 1 - 4 Weeks

  • P

    Packt

    Regression Analysis for Statistics & Machine Learning in R

    Skills you'll gain: Data Cleansing, R Programming, Data Preprocessing, Statistical Analysis, R (Software), Model Evaluation, Classification And Regression Tree (CART), Statistical Modeling, Logistic Regression, Machine Learning Methods, Random Forest Algorithm, Data Transformation, Predictive Modeling, Exploratory Data Analysis, Feature Engineering, Machine Learning, Dimensionality Reduction

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    Enhance Student Learning with Interactive Lessons in Nearpod

    Skills you'll gain: Education Software and Technology, Digital pedagogy, Content Management, Real Time Data, Google Workspace

    4.8
    Rating, 4.8 out of 5 stars
    ·
    47 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Applied Machine Learning: Techniques and Applications

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

    3.7
    Rating, 3.7 out of 5 stars
    ·
    12 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Leading People and Teams

    Skills you'll gain: Talent Management, Team Motivation, Team Building, Teamwork, Team Management, Talent Pipelining, Influencing, Team Leadership, People Development, Motivational Skills, Employee Onboarding, Employee Performance Management, Employee Coaching, Conflict Management, Talent Recruitment, Employee Engagement, Persuasive Communication, Leadership, Interviewing Skills, Initiative and Leadership

    4.7
    Rating, 4.7 out of 5 stars
    ·
    12K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: New
    New
    Status: Preview
    Preview
    N

    Northeastern University

    Engineering Project Management Part 1

    Skills you'll gain: Engineering Management, Project Risk Management, Innovation, Risk Management, Project Management, Project Design, Project Management Life Cycle, Cost Management, Creativity, Planning, Organizational Structure, Project Planning, Creative Thinking, Budgeting, Work Breakdown Structure, Leadership and Management, Organizational Strategy, Agile Methodology, Resource Allocation

    Beginner · Course · 1 - 3 Months

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In summary, here are 10 of our most popular in-context learning and prompt engineering courses

  • Introduction to AI and Machine Learning: LearnKartS
  • Deep Learning with ANN in Python: Build & Optimize: EDUCBA
  • Feature Engineering - Italiano: Google Cloud
  • Using Basic Formulas and Functions in Microsoft Excel: Coursera
  • How to Use Lookup Reference Math and Text Functions in Excel: Coursera
  • Tidymodels in R: Building tidy machine learning models: Coursera
  • Systems Engineering Fundamentals Part 2: University of Colorado System
  • Regression Analysis for Statistics & Machine Learning in R: Packt
  • Enhance Student Learning with Interactive Lessons in Nearpod: Coursera
  • Applied Machine Learning: Techniques and Applications: Johns Hopkins University

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