### bookmarks  (hide)1351displayallbookmarks onlybookmarks per page5102050100sort bydatetitlefolkrankorderascendingdescendingRSSBibTeXXML

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#### 1SANSA-Stack

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Mathematics as a Non-Superstition. Eleven math courses (in the playlists), from high school (precalculus) to early graduate school (functional analysis), taught in such a way that the student should be able to defend (almost) all statements against objection. Playlist List (sorted by last added): Course 4: Linear Algebra Course 3: Calculus II (US) Course 2: Calculus I (Another extra) Course 7: Principles of Mathematical Analysis Course 9: Basic Functional and Harmonic Analysis Course 8: Fourier Analysis Course 8: Complex Analysis Course 6: Introduction to Analysis Course 5: Differential Equations Course 4: Multivariable Calculus Course 3: Calculus II Course 2: Calculus I Course 1: Precalculus
a month ago by @achakraborty
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#### 1Course 7: Principles of Mathematical Analysis - Winston Ou | YouTube

Principles of Mathematical Analysis (based on Rudin's book of that name, Chapters 1, 2, 4, 5, 3, 7). (Prerequisites: some familiarity with theoretical mathem...
a month ago by @achakraborty
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#### 1Course 6: Introduction to Analysis - Winston Ou | YouTube

An introduction to theoretical mathematics via the basic concepts of analysis: fields, the real numbers, least upper bounds, the limit, sequences, Cauchy seq...
a month ago by @achakraborty
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#### 1NLP datasets

Data sets I have developed and used in my research.
a month ago by @schwemmlein
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#### 1[1705.02516] On the quantum differentiation of smooth real-valued functions

Calculating the value of $C^{k\in\{1,\infty\}}$ class of smoothness real-valued function's derivative in point of $\mathbb{R}^+$ in radius of convergence of its Taylor polynomial (or series), applying an analog of Newton's binomial theorem and $q$-difference operator. $(P,q)$-power difference introduced in section 5. Additionally, by means of Newton's interpolation formula, the discrete analog of Taylor series, interpolation using $q$-difference and $p,q$-power difference is shown.
2 months ago by @kolosov_petro
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#### 1V-Note : Video Analysis Software

V-Note is Video Analysis Software V-Note Video Analysis Software helps you get more from your videos through analysis and easy collaboration. V-Note is used by researchers, students, athletes, coaches, doctors, and consumer researchers around the world. (Who?) What Can V-Note Do? V-Note is powerful and flexible. It can be used in many ways: Do video-based research Collaborate around video to improve practice Make player/team histories and highlight videos Analyze players and teams Compare questions asked by student teachers across a semester Compare teaching and teachers Look for growth and change Analyze live while recording or use existing videos Link rubrics, playbooks, or other documents to videos Juxtapose video clips Propose and discuss categories for human behavior and interaction Transcribe easily yourself or automatically (U.S. English
3 months ago by @yish
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#### 1Analysis Yawp!

Real Analysis Lectures by Professor Francis Su (Harvey Mudd College)
4 months ago by @achakraborty
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#### 1Cynefin for Developers | Liz Keogh, lunivore

a bookmark
5 months ago by @schmidt2
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#### 1EXTRACTION AND REFINEMENT OF FINGERPRINT ORIENTATION FIELD

Computer Science & Information Technology (CS & IT) 7 (11): 12 (September 2017)
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#### 2Managing the life-cycle of Linked Data with the LOD2 Stack

Proceedings of International Semantic Web Conference (ISWC 2012), (2012)22\% acceptance rate.
5 days ago by @aksw
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#### 1Anomalieerkennung im Bereich Industrie 4.0

, , and . Industrie 4.0 Management 33 (4): 53--56 (2017)
5 days ago by @flint63
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#### 1Die Zukunft von Manufacturing Data Analytics: Implikationen für eine erfolgreiche Datennutzung im produzierenden Umfeld

Industrie 4.0 Management 33 (4): 33--37 (2017)
5 days ago by @flint63
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#### 1Lernfähige Bedienerassistenz für Verarbeitungsmaschinen: Situationsgerechte Ausgabe von Hinweisen zur nachhaltigen Beseitigung von Störungen

, , and . Industrie 4.0 Management 33 (4): 25--28 (2017)
5 days ago by @flint63
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#### 1EFFECT OF PROCESS PARAMETERS ON THE TOTAL HEAT DAMAGED ZONE (HDZ) DURING MICRO- EDM OF PLASTIC MOLD STEEL 1.2738

International Journal of Advances in Materials Science and Engineering (IJAMSE) 5 (2/3): 6 (July 2017)
6 days ago by @cathenna
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#### 2CORRELATING R & D EXPENDITURE AND SCHOLARLY PUBLICATION OUTPUT USING K-MEANS CLUSTERING

, , and . International Journal of Information Technology, Modeling and Computing (IJITMC) 5 (1): 7 (February 2017)
8 days ago by @ijitmc
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#### 1REPRESENTATION WITH WORD CLOUDS AT THE PHD UNS DIGITAL LIBRARY

, and . Computer Science & Information Technology (CS & IT) 7 (11): 13 (September 2017)
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#### 2Deep Parsing in Watson

, , and . IBM Journal of Research and Development 56 (3/4): 3:1--3:15 (2012)
9 days ago by @flint63
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#### 2Question Analysis: How Watson Reads a Clue

IBM Journal of Research and Development 56 (3/4): 2:1--2:14 (2012)
9 days ago by @flint63
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#### 1Big Data in der Logistik – Ein ganzheitlicher Ansatz für die datengetriebene Logistikplanung, -überwachung und -steuerung

Industrie 4.0 Management 33 (4): 43--47 (2017)
10 days ago by @flint63
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#### 1Industrial Big Data: Tieferes Prozessverständnis durch Daten -- Modernes Informationsmanagement in der Produktion

, , and . Industrie 4.0 Management 33 (4): 57--60 (2017)
10 days ago by @flint63
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#### 2A Literature Survey on Recommendation System Based on Sentimental Analysis

, , and . Advanced Computational Intelligence: An International Journal (ACII) 3 (1): 12 (January 2016)
12 days ago by @janakirob
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#### 1Die Vermessung des Datenuniversums: Datenintegration mithilfe des Statistikstandards SDMX

, and . Springer Vieweg, Berlin, (2017)
12 days ago by @flint63
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#### 2CORRELATING R & D EXPENDITURE AND SCHOLARLY PUBLICATION OUTPUT USING K-MEANS CLUSTERING

, , and . International Journal of Information Technology, Modeling and Computing (IJITMC) 5 (1): 7 (February 2017)
12 days ago by @jacksonjohn23
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#### 1Use of GIS and ancillary variables to predict volatile organic compound and nitrogen dioxide levels at unmonitored locations

Atmospheric Environment 40 (20): 3773 - 3787 (2006)
14 days ago by @lautenschlager
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#### 1Potenziale von Data Science in Produktion und Logistik: Teil 2 -- Vorgehensweise zur Datenanalyse und Anwendungsbeispiele

, , and . Industrie 4.0 Management 31 (6): 40--46 (2015)
17 days ago by @flint63
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#### 1Potenziale von Data Science in Produktion und Logistik: Teil 1 -- Eine Einführung in aktuelle Ansätze der Data Science

, , and . Industrie 4.0 Management 31 (5): 22--26 (2015)
17 days ago by @flint63
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