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Principle
The page gathers notes from the videos I have read recently (most since summer 2009). See also the ToDo section to understand how this page should evolve.
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Unsupervised Feature Learning and Deep Learning
Consider PCM when clarifications are needed.
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The Society of Mind
6.868J The Society of Mind by Marvin Minsky, MIT OpenCourseWare 2007
Mostly discussion about the definitions of intelligence.
See also
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2009 AGI Summer School
List of Lecture Topics and Background Readings
See also
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Machine Learning (CS 229) by Andrew Ng, Stanford University 2008
Stanford CS 229: Machine Learning
- Machine Learning at Stanford OpenClassroom
- author page on the The AI Genealogy Project
- Machine Learning (CS 229), Lecture 1
- ~min32 Wikipedia:Arthur Samuel's 1959 definition
- ~min36 Supervised Learning
- regression
- classification
- ~min45 Learning Theory
- ~min50 Unsupervised Learning
- 1h02min Reinforcement Learning
- Machine Learning (CS 229), Lecture 2
- ~3min Supervised learning with "Alvin" military car driving through a 3 layers ANN (~15 years ago)
- see also Welcome DARPA Urban Challenge
- ~12min notation details
- ~26min Wikipedia:Gradient descent
- Machine Learning (CS 229), Lecture 3
- ~min3 Linear regression
- overfitting and underfitting
- ~10min parametric vs non-parametric learning algorithm
- ~28min Probabilistic interpretation
- Logistic regression
- ~49min first classification algorithm
- ~1h10min Digression Perceptron
- Machine Learning (CS 229), Lecture 4
- ~min3 Newton's method
- work on distributions (Normal, Bernouilli, Poisson, Gaussian, ...)
- ~min38 Wikipedia:Generalized linear model GLM (and how to choose an exponential distribution)
- ~min52 multinomiale
- Machine Learning (CS 229), Lecture 5
- ~1min Logistic regression example
- ~searching for a line to divide clusters in the training set
- so far, discriminative learning algorithms
- ~min4 Generative learning algorithms
- ~min7 Gaussian Digressive Algorithm (GDA)
- Generative & Discriminative comparison
- Naive Bayes
- Laplace Smoothing
- Machine Learning (CS 229), Lecture 6
- ~1min Naive Bayes
- multivariable bernouilli
- ~7min Event models
- ~27min Neural Networks
- ~43min Support vector machines
- Machine Learning (CS 229), Lecture 7
- Optimal margin classifier
- Primal/dual optimization
- SVM dual
- kernels
- Machine Learning (CS 229), Lecture 8
- Soft Margin Support Vector Machine
- Coordinate Assent Algorithm
- Sequential Minimal Optimization (SMO)
- Machine Learning (CS 229), Lecture 9
- learning theory
- bias, variance, empirical risk minimization, union bound
- Hoeffding's inequalities
Potential related projects
- use
SVM (talk about result, not solution) for usage U
- analysis of my browsing logs
- local (client)
- eventually limited to owns wikis network
- remote (server)
- eventually limited to own IPs
- classification of wiki page (even just ReadingNotes group) for automatic PmWiki:Category 'zation
- content type
- LayeredModel
- WikiBrainMapping
- other tagging proposals ToDo
- ontology targeted categorization
- aiming at scalable semantical wiki
- periodically and after large edit, reprocess and detect eventual shift
- language
- note that manual classification does not need to be done within the wiki
- an external file or a set of external files can be used to be more efficient
- even a wiki page can be used of that
- advantage : riskless, fast
- disadvantage : not integrated, not distributed, hard to handle redirections, page-only granularity
- predictions on page number, edit frequency, ...
- improve my prediction (regression/derivative) method on PBES
- live classifier
- social interactions (IM, SNS, ...)
- live wikifying
- further than spam/non-spam
- dedicated hardware
- Lyric Semiconductor Probability Processing Circuits
- AWS#MechanicalTurk for supervision
- "hotness" of a wiki page, using feature such a history of edits (size, time, frequency, ...) and network metrics (centrality, ...)
See also
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Networks of Innovation
Networks of Innovation by Andrew Hargadon, GSSS 2009, Santa Fe Institute 2009
Notes
Part I
- note that the talk is about innovating on sustainably mostly during the conclusion (after ~1h) and in the following Q&A
- Brown Field Investment, Investopedia
- When a company or government entity purchases or leases existing production facilities to launch a new production activity. This is one strategy used in foreign-direct investment.
- Green Field Investment, Investopedia
- min30 focus on creativity
- situation and process rather than a personality trait
- min50 connecting innovation to market a the key
- min58 on Ford and his unability to respond because of the complexity of the system he build
Part II
- min15 example of James Watt's separate condenser
- existing market
- existing demand (coal mines requiring pumps, bottleneck limiting their productivity)
- existing technology (steam engine with research being conducted)
- yet modular design to allow improvements per component
- min35 key moment was thanks to the "network that he finally accepted around him"
- min38 the fallacy of "build it and they will come", the world will not beat the path to your door despite fundamental improvements
- example of the Segway and its lack of network for marketing and distribution despite its technological advantage
- opposed to Ford and his large set of sellers before having 1 unit produced
- min48 sum-up in 1 sentence "The network is the innovation."
- min75 on the history of the Silicon Valley
- conclusion
- shift from the idea to the network required by this idea to make it happen
- William Gibson's famous quote "The future is already here, it is just unevenly distributed."
- your role is not to invent anything but to re-arrange the pieces existing in a new way
See also
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Justice with Michael Sandel
co-production of WGBH Boston and Harvard University, started in 2009
- Episode 1
- Part 1 - The Moral Side of Murder
- Part 2 - The Case for Cannibalism
Motivated by
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Nutrition Made Clear
Nutrition Made Clear by Roberta H. Anding, TTC 2009
- lot of material covered but is still rather pedagogical nothing ground breaking but everything is well explained
- (bad) habit of saying "The Science out there confirms it" without giving (eventually boring) references
- nice storytelling style experiences that she had, making it more entertaining
- against anything "miraculous" so fresh vegs and fruits from all different color and exercise seems to be my overall (too short) sum up
- no ideal diet that anybody must follow independantly of their needs and objectives
- avocating no quick fix but a real understanding of the topics Id say.
- for somebody just curious and starting to study the topic, definitly overwhelming
- the pdf is "cold" but rather complete
few practical links and at the end of the guidebook in PDF also lsits the "Credible Nutrition Websites"
See also my Health#Nutrition page.
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The Practice of Mathematics
The Practice of Mathematics by Robert P. Langlands, Institute for Advanced Study 1999
- 16 lectures serie
- Euclid's Elements
- Gauss' Arithmetical Investigations
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Joy of Mathematics
Joy of Mathematics (first edition) by Murray H. Siegel, The Teaching Company 1999
- Concluding lecture 24 saying that
- when you control knowledge, you control the ignorants
- in the same way that in the past, Latin was the language of knowledge, now mathematics is
See also
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Godel, Escher, Bach: A Mental Space Odyssey
Godel, Escher, Bach: A Mental Space Odyssey by Justin Curry and Curran Kelleher, MIT OpenCourseWare 2007
- lectures
1 2 3 4 5 6 (in 220K quality)
- "the fundamental thing we want to answer at the end of this course : What is an 'I'. What makes something conscious from unsconscious things.How do we get particles and atoms to start talking about themselves like the way we do." lecture 3 ~42:30
- description of emergent properties makes one wonder if it's an epiphenomenon or if we just "create" an higher being based on the similarity of behaviors
- not using a biological boundary but a behavioral boundary of the organism
- is the concept of "self" regenerated consantly in the same way that biological cells are and that we are not the same person than we were weeks ago?
- if so, can we find artefacts and social means to build and support resiliance of our self? i.e. ss our social context helping us to maintain who we are?
See also my notes on I am a Strange Loop
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Mathematics from the Visual World
Mathematics from the Visual World by Michael Starbird, Course No. 1447, The Teaching Company 2009
Expectations
Why am I watching this.
Notes
Struture, actual essence, objective review, ...
01 - Seing with Our Eyes, Seing with Our Minds
- historical introduction
- usage of geometry, going from the abstract back to the real
- mathematics as the "exploration of self-consistent systems"
- different components including theorems, axioms, premisses, proofs, ...
- great proofs display underlying connections
- Euclides elements
- definitions/axioms/commons notions
- postulates
- proving that the sum of the angles of a triangle is 180 degrees
- using the pallelel lines with its crossing line transversal postulate
- proving that the angles of an isocele triangle are equal
- flipping through its symmetry axis
- "There is no royal road to Geometry." as Euclid replied to Ptolemy in Elements (ed. Thomas L. Heath)
02 - Congruence, Similarity, and Pythagoras
- classical mathematical problem to study the meaning of "equal", sameness
- congruence
- one figure can be moved over the other exactly
- SSS: side side side congruence theorem for triangles
- usage of this property of triangle in architecture (i.e. rigidity as a key required component for bridges, ...)
- SAS: side angle side
- ASA : angle side angle
SSA: side side angle is not a proper theorem
- more examples with different shapes
- similarity
- same shapes but potentialy of different size
- triangle
- 2 same angles
- same expansion factors (3 lengths as ratios of the corresponding lengths)
- 2 sides of the same expansions factors and a same angle (SAS+proportional sides)
- more examples with different shapes
- Eiffel tower measurments using Michael Starbird's shadow and similarity property
- basis of trigonometry
- proofs of the pythagorian theorem using congruence and similarity
- for any right triangle ABC, AB2+BC2=AC2
- Leonardo Da Vinci, using area and rotations 2*ABC+AC2=2*ABC+AB2+BC2
- consequently, through rotation it uses congruence
- forming similar triangles through the hypothenuse
03 - The Circle
- shape famous accross culture, probably the most popular symbol
- three (non-aligned) points determinate a circle
- relationship between the circumference and the diameter
- constant Pi
- C=D*Pi=2*Pi*r
- properties
- construction of an Apollonian circle
04 - Centers of Triangles
- median, from a vertex to the middle of a side
- examples of balancing on a ruler
- centroid, where the medians meet
- incenter, where the bisectors meet, center of the inner circle
- circumcenter, center of the outer circle
- altitudes, from a vertex to a side, orthogonally
- orthocenter, where the altitudes meet
- barycentre in french?
- Euler line, containing the circumcenter, the centroid and the orthocenter
05 - Surprising Complexity of Simple Triangles
- nine points cirle
- proof strategy of similarity, parallelness and right angle triangle within a circle
- Napoleon's theorem
- proof strategy of teslating the plane
- Morley's miracle
- proof strategy of similarity
06 - Clever Constructions
- constructing with straight edge and compass
- regular polygons
- bisections
- copying an angle
- golden rectangle
- constructible distance
- using a unit length, 1
- sum
- multiplication
- quotient
- square root
07 - Impossible Geometry - Squaring the Circle
- doubling the cube, Delian question
- trisection of an angle
- squaring of a circle
08 - Classic Conics
09 - Amazing Areas
- area of classical shapes
- deducing for a circle then an ellipsde
- Mamikon Mnatsakanian approach
Inculture(s) II
Inculture 2 - Une autre histoire de l'éducation, Franck Le Page, 2009
- rappel de la "1ere annee" de la bulle d'air chaud representant l'ascension sociale
- ~10min revolution francaise -> societe egalitaire donc utilisation de l'ecole
- 5 plans d'education
- Condorcet (retenue)
- pas une ecole du savoir minimum
- ecole du savoirmaximum, chacun doit pouvoir aller aussi loin qu'il lui est possible
- risque de faire une societe ou les inegalites seront bases sur les savoirs
- Condorsay lui-meme a confirme le risque de la creation d'une elite mais a affirme que cette elite se met au service de la nation
- Mirabeau
- Talerant (?)
- Le peletier de Saint-Fargeau, defendu par Robespierre
- Lepeletier de Saint-Fargeau par James Guillaume, Institut National de Recherche Pédagogique (INRP)
- proposer de frainer les plus rapides pour avancer ensemble
- pedagogie Fresnay en a herite
- ... dernier inconnu
- ecole qui frabrique de l'inegalite
- notation individuelle
- constante macabre
- ~28min l'egalite des chances c'est que la Republique garantie que
- "pour le lievre comme pour la tortue, la ligne de depart est la meme"
- resume : lecon de deconstruction de la plaisanterie de l'ascencion sociale par la culture
- ~33min "ces micro-competences sont toutes des competences a obeir a ce qui est demande." cf Chomsky
- Bernard Defrance, philosophe, "L'ecole consiste a repeter ce que dit le maitre."
- Bernard Charlot qui a travaille sur le rapport au savoir
- Aristotle : "Those that know, do. Those that understand, teach."
- site de l’Appel pour une école démocratique propose par http://fr.wikipedia.org/wiki/Nico_HirttNico Hirtt
- ~2h15min schema base sur les donnees INSEE
- indicateur du niveau culturel global de la population francaise vs. besoin de entreprises
- historique et evolution
- phenomene de dequalification a l'embauche, surqualification a l'emploi juste apres la guerre
- inversement vers 1973
- phenomene de surqualification a l'embauche, dequalification a l'emploi
- engage pour faire moins que ce que l'on sait faire
- organisation du travail dans l'entreprise, propriete prive des moyens de production
- "lutte des places"
- ~2h23min conclusion
- instauration d'un systeme d'education reellement egalitaire (pas de competition, pas de carte carte scolaire, college unique, acces a l'universite pour tous, pas de grandes ecoles, ...)
- fonction instruction (independance intelectuelle) / d'education (preparation professionnel ) / formation pro
See also
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To Do
- mimic the structure from ReadingNotes
- add previous notes
- only multi-emissions content from WithoutNotes (mainly courses)
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