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  • Machine Learning

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    Machine Learning?


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  • Basic information

  • Linear Regression

    a linear approach to modelling the relationship between a scalar response (or dependent variable) and one or more explanatory variables (or independent variables).

       

  • Statistical classification

    the problem of identifying to which of a set of categories (sub-populations) a new observation belongs, on the basis of a training set of data containing observations (or instances) whose category membership is known.

       

  • Basic concepts

  • Gradient Descent Method

    Most popular optimization strategy, used to minimize some function by iteratively moving in the direction of steepest descent

       

  • Loss Function Method

    a function that maps an event or values of one or more variables onto a real number intuitively representing some "cost" associated with the event. An optimization problem seeks to minimize a loss function

       


  • Intermediate Step

    Apply some learned concepts

  • Scikit-Learn Software libray

    Machine Learning library

       

  • Learn more basics

  • Machine Learning Video Lecture

    i) Supervised learning (parametric/non-parametric algorithms, support vector machines, kernels, neural networks). (ii) Unsupervised learning (clustering, dimensionality reduction, recommender systems, deep learning). (iii) Best practices in machine learning (bias/variance theory; innovation process in machine learning and AI)

    Lecture slides, exercises, quizzes

    Stanford University

    Andrew Ng   

  • Maschinelles Lernen Video Lecture

    Methods of machine learning, fields of application and tools

    Lecture slides

    Hasso-Plattner-Institut f?r Digital Engineering gGmbH

    Dr. Damian Borth Johannes Melzer  

  • Introduction to Artificial Intelligence (AI)

    Videos, assesments, assignments, Microsoft

       


  • Third level

    Get more in-depth infos on

  • The AI Podcast Interviews

    guests, experts

    NVIDIA

       

  • Lex Fridman Research Scientist

    Human-centered AI and autonomous vehicles

    Podcast (Audio & Video)

    MIT

       

  • Apply concepts with

  • TensorFlow Software-framework

    Open-source, numerical computation

       


  • Intermediate level completed

    Get expert information

  • Sebastian Ruder Articles

    Natural Language Processing

       

  • when trees fall

    Shawn Tan   

  • Apply your skills

  • PyTorch Library

    Torch, natural language processing, CUDA

    Facebook

       

  • Shared information

  • San Francisco

    Kaggle Platform

    Community of data scientists, Competition, Online Education

       


  • Congratulation
  • Education

    Online Course

    Machine Learning Video Lecture

    i) Supervised learning (parametric/non-parametric algorithms, support vector machines, kernels, neural networks). (ii) Unsupervised learning (clustering, dimensionality reduction, recommender systems, deep learning). (iii) Best practices in machine learning (bias/variance theory; innovation process in machine learning and AI)

    Lecture slides, exercises, quizzes

    Stanford University

    Andrew Ng   


  • Information

    Facebook

    Linear Regression

    a linear approach to modelling the relationship between a scalar response (or dependent variable) and one or more explanatory variables (or independent variables).

       

    Statistics Supervised Learning



  • Next level

  • Education

    Online Course

    Maschinelles Lernen Video Lecture

    Methods of machine learning, fields of application and tools

    Lecture slides

    Hasso-Plattner-Institut f?r Digital Engineering gGmbH

    Dr. Damian Borth Johannes Melzer  


  • Information

    Facebook

    Statistical classification

    the problem of identifying to which of a set of categories (sub-populations) a new observation belongs, on the basis of a training set of data containing observations (or instances) whose category membership is known.

       

    Data Mining Statistics


  • Education

    Wikipedia

    Gradient Descent Method

    Most popular optimization strategy, used to minimize some function by iteratively moving in the direction of steepest descent

       



  • Next level

  • Education

    Wikipedia

    Loss Function Method

    a function that maps an event or values of one or more variables onto a real number intuitively representing some "cost" associated with the event. An optimization problem seeks to minimize a loss function

       


  • Education

    Online Course

    Introduction to Artificial Intelligence (AI)

    Videos, assesments, assignments, Microsoft

       

    Artificial Intelligence


  • Exchange

    San Francisco

    Kaggle Platform

    Community of data scientists, Competition, Online Education

       

    Data Science



  • Next level

  • Information

    Podcast

    The AI Podcast Interviews

    guests, experts

    NVIDIA

       

    Artificial Intelligence Deep Learning


  • Application

    Software

    TensorFlow Software-framework

    Open-source, numerical computation

       

    Python


  • Application

    Software

    PyTorch Library

    Torch, natural language processing, CUDA

    Facebook

       

    Python Deep Learning



  • Next level

  • Exchange

    Data Science Stack Exchange Forum

    Questions and answers

       

    Data Science


  • Education

    Scientific Literature

    Visualizing Data using T-SNE

    new technique, high dimensional data

    Geoffrey Hinton   

    Data Visiualization


  • Information

    Person

    Lex Fridman Research Scientist

    Human-centered AI and autonomous vehicles

    Podcast (Audio & Video)

    MIT

       

    Deep Learning Artificial Intelligence



  • Next level

  • Education

    Online Course

    Machine Learning Crash Coursee Online Course

    Practical introduction to machine learning with TensorFlow APIs

    video lectures, real-world case studies, hands-on practice exercises.

       


  • Application

    Other

    Scikit-Learn Software libray

    Machine Learning library

       

    Data Analysis Data Mining


  • Education

    Wikipedia

    Adversarial machine learning spam filtering, malware detection and biometric recognition

       

    Computer Security



  • Next level

  • Education

    Wikipedia

    Collaborative Filtering Technology

    Machine learning, recommendation system

       

    E-Commerce


  • Education

    Blog

    colah's blog Articles

    Research insights

       


  • Information

    Blog

    Sebastian Ruder Articles

    Natural Language Processing

       

    Deep Learning



  • Next level

  • Information

    Blog

    when trees fall

    Shawn Tan   

    Software Engineering Artificial Intelligence


  • Education

    Person

    Bernhard Sch?lkopf Professor

    Study of kernel methods for extracting regularities from possibly high-dimensional data

       


  • Education

    Literature

    Python Machine Learning Non-fictional

    Sebastian Raschka Vahid Mirjalili  

    Deep Learning


  • San Francisco Kaggle Platform

    Community of data scientists, Competition, Online Education

  • Data Science Stack Exchange Forum

    Questions and answers

  • colah's blog Articles

    Research insights

    Upvote

  • Sebastian Ruder Articles

    Natural Language Processing

    Upvote

  • when trees fall

    Upvote

  • TensorFlow Software-framework

    Open-source, numerical computation

    Upvote

  • PyTorch Library

    Torch, natural language processing, CUDA

    Upvote

  • The AI Podcast Interviews

    guests, experts

    Upvote

  • Machine Learning Video Lecture

    i) Supervised learning (parametric/non-parametric algorithms, support vector machines, kernels, neural networks). (ii) Unsupervised learning (clustering, dimensionality reduction, recommender systems, deep learning). (iii) Best practices in machine learning (bias/variance theory; innovation process in machine learning and AI)

    Upvote

  • Maschinelles Lernen Video Lecture

    Methods of machine learning, fields of application and tools

    Upvote

  • Introduction to Artificial Intelligence (AI)

    Videos, assesments, assignments, Microsoft

    Upvote

  • Machine Learning Crash Coursee Online Course

    Practical introduction to machine learning with TensorFlow APIs

    Upvote

  • Lex Fridman Research Scientist

    Human-centered AI and autonomous vehicles

    Upvote

  • Bernhard Sch?lkopf Professor

    Study of kernel methods for extracting regularities from possibly high-dimensional data

    Upvote

  • Visualizing Data using T-SNE

    new technique, high dimensional data

    Upvote

  • Scikit-Learn Software libray

    Machine Learning library

    Upvote

  • Information
  • Linear Regression Facebook

    a linear approach to modelling the relationship between a scalar response (or dependent variable) and one or more explanatory variables (or independent variables).

    Upvote

  • Statistical classification Facebook

    the problem of identifying to which of a set of categories (sub-populations) a new observation belongs, on the basis of a training set of data containing observations (or instances) whose category membership is known.

    Upvote

  • The AI Podcast Audio

    guests, experts

    Upvote

  • Lex Fridman Person

    Human-centered AI and autonomous vehicles

    Upvote

  • Sebastian Ruder Blog

    Natural Language Processing

    Upvote

  • when trees fall Blog

    Upvote

  • Application
  • TensorFlow Podcast

    Open-source, numerical computation

    Upvote

  • PyTorch Podcast

    Torch, natural language processing, CUDA

    Upvote

  • Scikit-Learn Other

    Machine Learning library

    Upvote

  • Education
  • Machine Learning Online Course

    i) Supervised learning (parametric/non-parametric algorithms, support vector machines, kernels, neural networks). (ii) Unsupervised learning (clustering, dimensionality reduction, recommender systems, deep learning). (iii) Best practices in machine learning (bias/variance theory; innovation process in machine learning and AI)

    Upvote

  • Maschinelles Lernen Online Course

    Methods of machine learning, fields of application and tools

    Upvote

  • Gradient Descent Wikipedia

    Most popular optimization strategy, used to minimize some function by iteratively moving in the direction of steepest descent

    Upvote

  • Loss Function Wikipedia

    a function that maps an event or values of one or more variables onto a real number intuitively representing some "cost" associated with the event. An optimization problem seeks to minimize a loss function

    Upvote

  • Introduction to Artificial Intelligence (AI) Online Course

    Videos, assesments, assignments, Microsoft

    Upvote

  • Visualizing Data using T-SNE Scientific Literature

    new technique, high dimensional data

    Upvote

  • Machine Learning Crash Coursee Online Course

    Practical introduction to machine learning with TensorFlow APIs

    Upvote

  • Adversarial machine learning Wikipedia

    Upvote

  • Collaborative Filtering Wikipedia

    Machine learning, recommendation system

    Upvote

  • colah's blog Blog

    Research insights

    Upvote

  • Bernhard Sch?lkopf Person

    Study of kernel methods for extracting regularities from possibly high-dimensional data

    Upvote

  • Python Machine Learning Literature

    Upvote

  • Exchange
  • San Francisco Kaggle

    Community of data scientists, Competition, Online Education

    Upvote

  • Data Science Stack Exchange

    Questions and answers

    Upvote