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  • Deep Learning Optimization Techniques

Results for "deep learning optimization techniques"


  • Status: New
    New
    Status: Free Trial
    Free Trial
    P

    Packt

    Deep Dive into iOS & SwiftUI: 80-Hour Project Course

    Skills you'll gain: iOS Development, Swift Programming, Apple iOS, Core Data (Software), Data Persistence, Test Driven Development (TDD), Mobile Development, Application Design, Application Deployment, Apple Xcode, Plot (Graphics), User Interface (UI), Data Store, Model View Controller, Machine Learning Software, Software Architecture, Performance Tuning, Database Development, Real Time Data, Data Integration

    Intermediate · Specialization · 3 - 6 Months

  • G

    Google Cloud

    Reinforcement Learning: Qwik Start

    Skills you'll gain: Reinforcement Learning, Google Cloud Platform, GitHub, Tensorflow, Machine Learning, Jupyter, Game Design

    3.7
    Rating, 3.7 out of 5 stars
    ·
    10 reviews

    Beginner · Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    I

    Intel

    Leader of Learning Experiences

    Skills you'll gain: Innovation, Lesson Planning, Education Software and Technology, Digital pedagogy, Learning Management Systems, Instructional Strategies, Pedagogy, Telecommuting, Teamwork, Collaboration, Student-Centred Learning, Student Engagement, Community Development, Instructional Design, Classroom Management, Learning Strategies, Virtual Environment, Creative Thinking, digital literacy, Artificial Intelligence

    Beginner · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Data Science: Statistics and Machine Learning

    Skills you'll gain: Shiny (R Package), Rmarkdown, Model Evaluation, Regression Analysis, Exploratory Data Analysis, Statistical Inference, Predictive Modeling, Statistical Hypothesis Testing, Machine Learning Algorithms, Plotly, Interactive Data Visualization, Probability & Statistics, Statistical Machine Learning, Data Presentation, Data Visualization, Statistical Analysis, Statistical Modeling, R Programming, Machine Learning, GitHub

    4.4
    Rating, 4.4 out of 5 stars
    ·
    7.2K reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: New
    New
    Status: Preview
    Preview
    R

    Rice University

    Practical Metacognition for Learning

    Skills you'll gain: Resourcefulness, Cognitive flexibility, Adaptability

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    P

    Politecnico di Milano

    The Learning Innovation Network

    Skills you'll gain: Educational Materials, Classroom Management, Course Development, Blended Learning, Teaching, Instructional Design, Instructional Strategies, Innovation, Pedagogy, Student Engagement, Resource Utilization, Network Planning And Design

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    Imperial College London

    Mathematics for Machine Learning: Multivariate Calculus

    Skills you'll gain: Regression Analysis, Calculus, Advanced Mathematics, Machine Learning Algorithms, Linear Algebra, Artificial Neural Networks, Mathematical Modeling, Python Programming, Derivatives

    4.7
    Rating, 4.7 out of 5 stars
    ·
    5.8K reviews

    Beginner · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    P

    Packt

    Core Machine Learning & Evaluation

    Skills you'll gain: Model Evaluation, Supervised Learning, Feature Engineering, Applied Machine Learning, Machine Learning, Machine Learning Algorithms, Statistical Machine Learning, Predictive Modeling, Artificial Intelligence and Machine Learning (AI/ML), Data Preprocessing, Scikit Learn (Machine Learning Library), Random Forest Algorithm, Regression Analysis, Classification Algorithms, Logistic Regression, Performance Tuning

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    S

    SAS

    Machine Learning Using SAS Viya

    Skills you'll gain: Data Preprocessing, Model Deployment, Model Evaluation, Supervised Learning, Decision Tree Learning, Applied Machine Learning, Predictive Modeling, Random Forest Algorithm, Feature Engineering, SAS (Software), Machine Learning, Data Analysis, Business Analysis, Artificial Neural Networks, Classification Algorithms, No-Code Development, Statistical Programming

    4.7
    Rating, 4.7 out of 5 stars
    ·
    102 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    S

    Stanford University

    Fundamentals of Machine Learning for Healthcare

    Skills you'll gain: Healthcare Ethics, Data Ethics, Applied Machine Learning, Machine Learning Algorithms, Machine Learning, Responsible AI, Artificial Neural Networks, Healthcare Industry Knowledge, Model Evaluation, Artificial Intelligence and Machine Learning (AI/ML), Reinforcement Learning, Deep Learning, Convolutional Neural Networks, Health Policy, Data Preprocessing

    4.8
    Rating, 4.8 out of 5 stars
    ·
    624 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    Intel

    Introduction to Learning Remotely

    Skills you'll gain: Telecommuting, Student Engagement, Education Software and Technology, Digital pedagogy, Virtual Environment, Stress Management, Instructional Design, Organizational Skills, Active Listening, Empathy, Communication, Collaboration, Driving engagement, Relationship Building, Emotional Intelligence

    Beginner · Course · 1 - 4 Weeks

  • C

    Coursera

    Data Cleaning in Snowflake: Techniques to Clean Messy Data

    Skills you'll gain: Data Cleansing, Snowflake Schema, Data Quality, Data Transformation, Data Validation, Data Manipulation, Data Analysis, SQL, Big Data

    4.1
    Rating, 4.1 out of 5 stars
    ·
    7 reviews

    Intermediate · Guided Project · Less Than 2 Hours

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In summary, here are 10 of our most popular deep learning optimization techniques courses

  • Deep Dive into iOS & SwiftUI: 80-Hour Project Course: Packt
  • Reinforcement Learning: Qwik Start: Google Cloud
  • Leader of Learning Experiences: Intel
  • Data Science: Statistics and Machine Learning: Johns Hopkins University
  • Practical Metacognition for Learning: Rice University
  • The Learning Innovation Network: Politecnico di Milano
  • Mathematics for Machine Learning: Multivariate Calculus: Imperial College London
  • Core Machine Learning & Evaluation: Packt
  • Machine Learning Using SAS Viya: SAS
  • Fundamentals of Machine Learning for Healthcare: Stanford University

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