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  • Intro To Deep Learning

Results for "intro to deep learning"


  • Status: Free Trial
    Free Trial
    M

    MathWorks

    Predictive Modeling and Machine Learning with MATLAB

    Skills you'll gain: Model Evaluation, Supervised Learning, Predictive Modeling, Matlab, Data Preprocessing, Applied Machine Learning, Classification Algorithms, Regression Analysis, Statistical Modeling, Feature Engineering, Machine Learning, Exploratory Data Analysis, Performance Tuning

    4.8
    Rating, 4.8 out of 5 stars
    ·
    119 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Learning Experience Design: Development and Evaluation

    4.8
    Rating, 4.8 out of 5 stars
    ·
    34 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Preview
    Preview
    E

    EDUCBA

    AI & Machine Learning: Apply, Build & Solve

    Skills you'll gain: Artificial Intelligence, Bayesian Network, Applied Machine Learning, Computational Logic, Machine Learning, Unsupervised Learning, Bayesian Statistics, Artificial Neural Networks, Reinforcement Learning, Markov Model, Algorithms, Probability & Statistics, Decision Making

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Introduction to HTML5

    Skills you'll gain: Hypertext Markup Language (HTML), Web Design, Application Deployment, Web Content, Web Development, Web Content Accessibility Guidelines, Usability, Browser Compatibility

    4.7
    Rating, 4.7 out of 5 stars
    ·
    28K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free
    Free
    C

    Coursera

    Machine Learning with PySpark: Recommender System

    Skills you'll gain: PySpark, Apache Spark, Data Pipelines, Data Processing, AI Personalization, Dimensionality Reduction, OpenAI API, Data Manipulation, Pandas (Python Package), Data Transformation, Predictive Modeling, Unsupervised Learning, Applied Machine Learning, Scatter Plots, Embeddings, Machine Learning

    Intermediate · Guided Project · Less Than 2 Hours

  • C

    Coursera

    AWS AutoGluon for Machine Learning Classification

    Skills you'll gain: AWS SageMaker, Model Evaluation, Applied Machine Learning, Classification Algorithms, Amazon Web Services, Machine Learning Methods, Predictive Modeling, Machine Learning, Python Programming

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free
    Free
    A

    Amazon Web Services

    Building a Machine Learning Ready Organization

    Skills you'll gain: Resource Allocation, Organizational Change, Business Leadership, Strategic Leadership, Business Transformation, AI Enablement, Organizational Strategy, Organizational Leadership, Data Strategy, Technology Strategies, Business Priorities, Strategic Decision-Making, Change Management, Performance Measurement, Performance Metric, Business Metrics

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    B

    Board Infinity

    Machine Learning Fundamentals for Java Developers

    Skills you'll gain: Classification Algorithms, Data Preprocessing, Model Deployment, Model Evaluation, Decision Tree Learning, Regression Analysis, Logistic Regression

    Beginner · Course · 1 - 4 Weeks

  • C

    Coursera

    Introduction to Data Analysis using Microsoft Excel

    Skills you'll gain: Microsoft Excel, Excel Formulas, Spreadsheet Software, Pivot Tables And Charts, Data Analysis, Data Manipulation, Microsoft Office, Data Mining

    4.7
    Rating, 4.7 out of 5 stars
    ·
    4.6K reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • C

    Coursera

    Auto Machine Learning (AutoML) Using AutoGluon

    Skills you'll gain: AWS SageMaker, Applied Machine Learning, Classification Algorithms, Model Evaluation, Machine Learning, Python Programming, Prototyping

    Beginner · Guided Project · Less Than 2 Hours

  • Status: New
    New
    Status: Preview
    Preview
    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
    Free Trial
    R

    Rice University

    Introduction to Teaching English Learners

    Skills you'll gain: Differentiated Instruction, Diversity Awareness, Web Content Accessibility Guidelines, digital literacy, Instructional Strategies, Culture, Education Software and Technology, Special Education, Cultural Responsiveness, Intercultural Competence, Cultural Diversity, Teaching, Instructing, Curriculum Planning, English Language, Learning Management Systems, Lifelong Learning, Student Engagement, Lesson Planning, Language Learning

    4.8
    Rating, 4.8 out of 5 stars
    ·
    53 reviews

    Beginner · Specialization · 1 - 3 Months

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In summary, here are 10 of our most popular intro to deep learning courses

  • Predictive Modeling and Machine Learning with MATLAB: MathWorks
  • Learning Experience Design: Development and Evaluation: University of Michigan
  • AI & Machine Learning: Apply, Build & Solve: EDUCBA
  • Introduction to HTML5: University of Michigan
  • Machine Learning with PySpark: Recommender System: Coursera
  • AWS AutoGluon for Machine Learning Classification: Coursera
  • Building a Machine Learning Ready Organization: Amazon Web Services
  • Machine Learning Fundamentals for Java Developers: Board Infinity
  • Introduction to Data Analysis using Microsoft Excel: Coursera
  • Auto Machine Learning (AutoML) Using AutoGluon : Coursera

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