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  • Deep Learning And Validation

Results for "deep learning and validation"


  • C

    Coursera

    Scikit-Learn to Solve Regression Machine Learning Problems

    Skills you'll gain: Scikit Learn (Machine Learning Library), Predictive Modeling, Regression Analysis, Machine Learning Algorithms, Applied Machine Learning, Predictive Analytics, Python Programming, Machine Learning, Data Analysis, Random Forest Algorithm

    4.8
    Rating, 4.8 out of 5 stars
    ·
    8 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Preview
    Preview
    I

    IBM

    Machine Learning Rapid Prototyping with IBM Watson Studio

    Skills you'll gain: Feature Engineering, Data Transformation, Data Processing, Data Cleansing, Applied Machine Learning, MLOps (Machine Learning Operations), Predictive Modeling, Exploratory Data Analysis, Automation, Machine Learning Methods, Machine Learning, Scikit Learn (Machine Learning Library), Artificial Intelligence and Machine Learning (AI/ML), Data Science, IBM Cloud, Python Programming, Performance Tuning

    4.3
    Rating, 4.3 out of 5 stars
    ·
    16 reviews

    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), Data Visualization, Clinical Data Management, Data Manipulation, Predictive Modeling, R Programming, Data Processing, Data Cleansing, Predictive Analytics, Data Pipelines, Feature Engineering, Applied Machine Learning, Machine Learning, Statistical Modeling, Performance Tuning, Hospital Medicine

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    HTML, CSS, and Javascript for Web Developers

    Skills you'll gain: Cascading Style Sheets (CSS), HTML and CSS, Javascript, Responsive Web Design, Ajax, Front-End Web Development, Bootstrap (Front-End Framework), Web Design, Hypertext Markup Language (HTML), Browser Compatibility, Web Design and Development, Web Development, JSON, Web Applications, Scripting, Usability, Cross Platform Development, Object Oriented Programming (OOP), Event-Driven Programming, User Interface and User Experience (UI/UX) Design

    4.7
    Rating, 4.7 out of 5 stars
    ·
    17K reviews

    Beginner · Specialization · 1 - 3 Months

  • Status: Free
    Free
    G

    Goldman Sachs

    Fundamentals of Sales and Marketing, with Goldman Sachs 10,000 Women

    Skills you'll gain: Target Market, Sales Strategy, Marketing Planning, Marketing, Sales Process, Sales, Marketing Strategy and Techniques, Marketing Analytics, Digital Marketing, Brand Management, Market Opportunities, Market Research, Business Metrics, Customer Analysis

    4.6
    Rating, 4.6 out of 5 stars
    ·
    1.3K reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    R

    Rice University

    English and Academic Preparation - Pre-Collegiate

    Skills you'll gain: Oral Comprehension, Critical Thinking, Learning Strategies, Active Listening, Literacy, English Language, Vocabulary, Grammar, Research, Analytical Skills

    4.7
    Rating, 4.7 out of 5 stars
    ·
    587 reviews

    Beginner · Course · 1 - 4 Weeks

  • P

    Packt

    Regression Analysis for Statistics & Machine Learning in R

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

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    B

    Board Infinity

    Learning MEAN Stack by Building Real world Application

    Skills you'll gain: Angular, Node.JS, Full-Stack Web Development, HTML and CSS, User Interface (UI), Application Deployment, Back-End Web Development, Javascript, MongoDB, User Interface (UI) Design, Front-End Web Development, Web Applications, JavaScript Frameworks, Scalability, Restful API, Middleware, Bootstrap (Front-End Framework), jQuery, Databases, Cascading Style Sheets (CSS)

    4.2
    Rating, 4.2 out of 5 stars
    ·
    60 reviews

    Intermediate · Specialization · 1 - 3 Months

  • Status: Preview
    Preview
    N

    National Taiwan University

    機器學習技法 (Machine Learning Techniques)

    Skills you'll gain: Feature Engineering, Supervised Learning, Applied Machine Learning, Machine Learning, Decision Tree Learning, Random Forest Algorithm, Deep Learning, Artificial Neural Networks, Unsupervised Learning, Dimensionality Reduction, Regression Analysis

    4.9
    Rating, 4.9 out of 5 stars
    ·
    35 reviews

    Intermediate · Course · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Machine Learning with TensorFlow on Google Cloud en Español

    Skills you'll gain: Feature Engineering, Responsible AI, Tensorflow, Exploratory Data Analysis, Data Quality, Machine Learning, Applied Machine Learning, Keras (Neural Network Library), Scikit Learn (Machine Learning Library), Google Cloud Platform, MLOps (Machine Learning Operations), Supervised Learning, Machine Learning Algorithms, Data Strategy, Artificial Neural Networks, Data Pipelines, Performance Tuning, Deep Learning, Data Transformation, Data Processing

    4.6
    Rating, 4.6 out of 5 stars
    ·
    448 reviews

    Intermediate · Specialization · 3 - 6 Months

  • I

    IBM

    Scalable Machine Learning on Big Data using Apache Spark

    Skills you'll gain: Apache Spark, PySpark, Applied Machine Learning, Big Data, Data Storage Technologies, Statistical Machine Learning, Data Pipelines, Machine Learning Algorithms, Machine Learning, Data Processing, Data Science, Statistical Analysis

    3.8
    Rating, 3.8 out of 5 stars
    ·
    1.3K reviews

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Naive Bayes 101: Resume Selection with Machine Learning

    Skills you'll gain: Data Visualization, Matplotlib, Plot (Graphics), Exploratory Data Analysis, Text Mining, Applied Machine Learning, Data Cleansing, Scikit Learn (Machine Learning Library), Pandas (Python Package), Natural Language Processing, Predictive Modeling, Machine Learning, Data Processing, Unstructured Data, Data Analysis, Machine Learning Algorithms, Data Manipulation, Python Programming, Computer Science

    4.5
    Rating, 4.5 out of 5 stars
    ·
    17 reviews

    Intermediate · Guided Project · Less Than 2 Hours

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In summary, here are 10 of our most popular deep learning and validation courses

  • Scikit-Learn to Solve Regression Machine Learning Problems: Coursera
  • Machine Learning Rapid Prototyping with IBM Watson Studio: IBM
  • Tidymodels in R: Building tidy machine learning models: Coursera
  • HTML, CSS, and Javascript for Web Developers: Johns Hopkins University
  • Fundamentals of Sales and Marketing, with Goldman Sachs 10,000 Women: Goldman Sachs
  • English and Academic Preparation - Pre-Collegiate: Rice University
  • Regression Analysis for Statistics & Machine Learning in R: Packt
  • Learning MEAN Stack by Building Real world Application: Board Infinity
  • 機器學習技法 (Machine Learning Techniques): National Taiwan University
  • Machine Learning with TensorFlow on Google Cloud en Español: Google Cloud

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