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The Atlas of Human Knowledge

By @frbbdnforest

Atlas of Human Knowledge is a collection of knowledge maps computed by humans and algorithms.

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#Fast.Ai #Deeplearning #Fitting.Json

About fast.ai, Deep-learning, Fitting: a conceptual map of the topics you should become familiar with, when approaching application for machine learning.
This map addresses new beez and novices, and can be used as a visual reference of concepts in linear algebra, tech applications and core algorithms you will meet in a training course on Deep Learning.
Before diving into details, familiarise with words and topics you will hear for a first time.
For your reference: Fast.AI - Lesson 1.more_vert

Context of fast.ai, deeplearning and fitting in 62 topics.jsonclose

About fast.ai, Deep-learning, Fitting: a conceptual map of the topics you should become familiar with, when approaching application for machine learning.
This map addresses new beez and novices, and can be used as a visual reference of concepts in linear algebra, tech applications and core algorithms you will meet in a training course on Deep Learning.
Before diving into details, familiarise with words and topics you will hear for a first time.
For your reference: Fast.AI - Lesson 1.

#Stablecoin #SmartContract #Tokenization

This map introduces to what stable coins are: a crypto coin but anchored to "real money" (fiat coins).
The map displays connections to normative context in Europe and opportunities of business models that may make use of tokenisation and stable coins - such as mobile phone money transfers.more_vert

Context of stablecoin, smart contract and tokenization in 45 topicsclose

This map introduces to what stable coins are: a crypto coin but anchored to "real money" (fiat coins).
The map displays connections to normative context in Europe and opportunities of business models that may make use of tokenisation and stable coins - such as mobile phone money transfers.

#MachineLearning #SupervisedLearning #UnsupervisedLearning

This map shows learning paths to introduce to the subject of machine learning.
It highlights the context of key areas, as supervised, unsupervised, batch learning and topics of data science. As a reference, see the book by Aurélien Géron - Hands on Machine Learning.more_vert

Context of machine learning; supervised learning and unsupervised learning in 58 topicsclose

This map shows learning paths to introduce to the subject of machine learning.
It highlights the context of key areas, as supervised, unsupervised, batch learning and topics of data science. As a reference, see the book by Aurélien Géron - Hands on Machine Learning.

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