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Education

Online Course

Supervised learning, unsupervised learning, best practices in machine learning

Lecture slides, exercises, quizzes

Stanford University

Andrew Ng

Information

Wikipedia

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

Education

Online Course

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

Wikipedia

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.

Education

Wikipedia

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

Education

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

Education

Online Course

Videos, assesments, assignments, Microsoft

Exchange

Community of data scientists, Competition, Online Education

Information

Podcast

guests, experts

NVIDIA

Artificial Intelligence Neural Networks

Application

Software

Open-source, numerical computation

Application

Software

Torch, CUDA

Exchange

Questions and answers

Education

Scientific Literature

new technique, high dimensional data

Geoffrey Hinton

Entertainment

Person

Human-centered AI and autonomous vehicles

Podcast (Audio & Video)

MIT

Neural Networks Artificial Intelligence

Education

Online Course

Practical introduction to machine learning with TensorFlow APIs

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

Application

Other

Classification, regression, clustering, dimensionality reduction, model selection, preprocessing, built on NumPy, SciPy, and matplotlib

User guide, tutorials

Application

K Nearest Neighbor, Perceptron, Support Vector Machine, Artificial Neural Network, Decision Tree

Jo Chuang

Education

Wikipedia

Education

Wikipedia

Machine learning, recommendation system

Education

Blog

Research insights

Information

Blog

Natural Language Processing

Information

Blog

Shawn Tan

Software Engineering Artificial Intelligence

Education

Person

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

Education

Literature

Sebastian Raschka Vahid Mirjalili

Community of data scientists, Competition, Online Education

Questions and answers

K Nearest Neighbor, Perceptron, Support Vector Machine, Artificial Neural Network, Decision Tree

Research insights

*Upvote*
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*

Natural Language Processing

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*

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*

Open-source, numerical computation

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*

Torch, CUDA

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*

Supervised learning, unsupervised learning, best practices in machine learning

*Upvote*
*
*

Methods of machine learning, fields of application and tools

*Upvote*
*
*

Videos, assesments, assignments, Microsoft

*Upvote*
*
*

Practical introduction to machine learning with TensorFlow APIs

*Upvote*
*
*

Human-centered AI and autonomous vehicles

*Upvote*
*
*

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

*Upvote*
*
*

Classification, regression, clustering, dimensionality reduction, model selection, preprocessing, built on NumPy, SciPy, and matplotlib

*Upvote*
*
*

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

*Upvote*
*
*

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*
*
*

guests, experts

*Upvote*
*
*

Natural Language Processing

*Upvote*
*
*

*Upvote*
*
*

Open-source, numerical computation

*Upvote*
*
*

Torch, CUDA

*Upvote*
*
*

Classification, regression, clustering, dimensionality reduction, model selection, preprocessing, built on NumPy, SciPy, and matplotlib

*Upvote*
*
*

K Nearest Neighbor, Perceptron, Support Vector Machine, Artificial Neural Network, Decision Tree

*Upvote*
*
*

Supervised learning, unsupervised learning, best practices in machine learning

*Upvote*
*
*

Methods of machine learning, fields of application and tools

*Upvote*
*
*

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

*Upvote*
*
*

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*
*
*

Videos, assesments, assignments, Microsoft

*Upvote*
*
*

new technique, high dimensional data

*Upvote*
*
*

Practical introduction to machine learning with TensorFlow APIs

*Upvote*
*
*

*Upvote*
*
*

Machine learning, recommendation system

*Upvote*
*
*

Research insights

*Upvote*
*
*

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

*Upvote*
*
*

*Upvote*
*
*

Community of data scientists, Competition, Online Education

*Upvote*
*
*

Questions and answers

*Upvote*
*
*