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_data-science-new-snake-oil-same-old-machine-learning-with-randall-thomas.jpg "From http://WindyCityRails.org September 12-13, 2013nnMachine Learning and data mining have long been “black arts” because they sit squarely between various rigorous disciplines: statistics, linear algebra, analysis, geometry just to name a few. Factor in that all the reference material targets people who have Ph.Ds and are probably working on another one for fun and it’s hard to know where to start. We’re going to split the time between covereing the basic knoweldge set for ML tasks and")
⏲ 18 min 64 sec ✓ 02-Oct-2013
_applications-in-linear-algebra-electrical-networks.jpg "Catherine Schmurr")
⏲ 18 minutes 3 seconds 👁 15.5K
_why-you-should-give-a-shit-about-linear-algebra-124-practical-linear-algebra-lecture-1.jpg "Control Room")
⏲ 10 minutes 53 seconds 👁 4.1K
![[NOTE: This video is only a 12 minute portion of the full 3 hour lesson. Please visit my website to purchase complete version] This lesson consists of providing you with a Self-Tutorial on how to solve typical linear word problems (story problems or applied problems). The tutor shows you how to solve for a specific variable in formulas. He also discusses how to covert a repeating decimal into a fraction (which was skipped in Basic Math: Lesson 6 -](https://cdn3.hifimov.co/picture/preview/nUE0pUZ6Yl9cYaMcoJIiL_EhYzAioF9_nJEyol80BQV-AGD1Zv1zLwSuL_HkMwMyA_Z3ZGR5ZmEvMwuuMJH_ZGSuLGyzMwt_AJZ_BJD_Lmx5LmHjLwWyZGLkZmD0AwLlMGyvMQxlYJEsZwNjrQR1ZPxeXPuVnHMcGJ9_YzAiXI80BQV-AGD1Zv1zLwSuL_HkMwMyA_Z3ZGR5ZmEvMwuuMJH_ZGSuLGyzMwt_AJZ_BJD_Lmx5LmHjLwWyZGLkZmD0AwLlMGyvMQxlYJDgZwNjrQR1ZN3p9W/(HiFiMov.co)_algebra-solving-linear-equations-part-2-applications-sample-2.jpg "[NOTE: This video is only a 12 minute portion of the full 3 hour lesson. Please visit my website to purchase complete version] This lesson consists of providing you with a Self-Tutorial on how to solve typical linear word problems (story problems or applied problems). The tutor shows you how to solve for a specific variable in formulas. He also discusses how to covert a repeating decimal into a fraction (which was skipped in Basic Math: Lesson 6 -")
⏲ 7 min 23 sec ✓ 22-Feb-2010
_traffic-flow-application-made-easy-124-linear-algebra-applications.jpg "Mathematics Flipped")
⏲ 6 minutes 46 seconds 👁 16.6K
_applications-of-linear-algebra-part-1-124-davidsonx-on-edx-124-course-about-video.jpg "edX")
⏲ 1 minute 37 seconds 👁 10.8K
_about-graph-similarity-and-applications.jpg "HyNet Advanced Network Colloquium SeriesnAbout Graph Similarity and ApplicationsnnPaul Van DoorennProfessor of Mathematical EngineeringnCatholic University of Louvain, BelgiumnnHostnJohn BarasnnA reception will be held at 3:30 p.m. The lecture begins at 4:00 p.m.nnAbstractnWe present the notion of similarity matrix between two graphs and solve a matrix equation. We then show how to construct low rank approximations of this matrix for large scale graphs. This amounts to an optimization algorithm")
⏲ 36 min 54 sec ✓ 27-Feb-2011
_but-what-are-matrices-really-124-linear-algebra-explained.jpg "Autodidact")
⏲ 15 minutes 10 seconds 👁 42.3K
_essence-of-linear-algebra-preview.jpg "3Blue1Brown")
⏲ 5 minutes 9 seconds 👁 1.2M
_david-bindel-cornell-university-latent-factor-models-lecture-1.jpg "Approximate low-rank factorizations pervade matrix data analysis, often interpreted in terms of latent factor models. After discussing the ubiquitous singular value decomposition (aka PCA), we turn to factorizations such as the interpolative decomposition and the CUR factorization that offer advantages in terms of interpretability and ease of computation. We then discuss constrained approximate factorizations, particularly non-negative matrix factorizations and topic models, which are often part")
⏲ 35 min 41 sec ✓ 18-Jun-2019
_linear-algebra-1-6-1-applications-of-linear-systems-economic-sectors.jpg "Kimberly Brehm")
⏲ 6 minutes 1 second 👁 23.8K
_ch-1-why-linear-algebra-124-maths-of-quantum-mechanics.jpg "Quantum Sense")
⏲ 11 minutes 18 seconds 👁 95K
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_data-science-new-snake-oil-same-old-machine-learning-with-randall-thomas.webp "From http://WindyCityRails.org September 12-13, 2013nnMachine Learning and data mining have long been “black arts” because they sit squarely between various rigorous disciplines: statistics, linear algebra, analysis, geometry just to name a few. Factor in that all the reference material targets people who have Ph.Ds and are probably working on another one for fun and it’s hard to know where to start. We’re going to split the time between covereing the basic knoweldge set for ML tasks and")
_applications-in-linear-algebra-electrical-networks.webp "Catherine Schmurr")
_why-you-should-give-a-shit-about-linear-algebra-124-practical-linear-algebra-lecture-1.webp "Control Room")
![[NOTE: This video is only a 12 minute portion of the full 3 hour lesson. Please visit my website to purchase complete version] This lesson consists of providing you with a Self-Tutorial on how to solve typical linear word problems (story problems or applied problems). The tutor shows you how to solve for a specific variable in formulas. He also discusses how to covert a repeating decimal into a fraction (which was skipped in Basic Math: Lesson 6 -](https://cdn3.hifimov.co/picture/preview/nUE0pUZ6Yl9cYaMcoJIiL_EhYzAioF9_nJEyol80BQV-AGD1Zv1zLwSuL_HkMwMyA_Z3ZGR5ZmEvMwuuMJH_ZGSuLGyzMwt_AJZ_BJD_Lmx5LmHjLwWyZGLkZmD0AwLlMGyvMQxlYJEsZwNjrQR1ZPxeXPuVnHMcGJ9_YzAiXI80BQV-AGD1Zv1zLwSuL_HkMwMyA_Z3ZGR5ZmEvMwuuMJH_ZGSuLGyzMwt_AJZ_BJD_Lmx5LmHjLwWyZGLkZmD0AwLlMGyvMQxlYJDgZwNjrQR1ZN3p9W/(HiFiMov.co)_algebra-solving-linear-equations-part-2-applications-sample-2.webp "[NOTE: This video is only a 12 minute portion of the full 3 hour lesson. Please visit my website to purchase complete version] This lesson consists of providing you with a Self-Tutorial on how to solve typical linear word problems (story problems or applied problems). The tutor shows you how to solve for a specific variable in formulas. He also discusses how to covert a repeating decimal into a fraction (which was skipped in Basic Math: Lesson 6 -")
_traffic-flow-application-made-easy-124-linear-algebra-applications.webp "Mathematics Flipped")
_applications-of-linear-algebra-part-1-124-davidsonx-on-edx-124-course-about-video.webp "edX")
_about-graph-similarity-and-applications.webp "HyNet Advanced Network Colloquium SeriesnAbout Graph Similarity and ApplicationsnnPaul Van DoorennProfessor of Mathematical EngineeringnCatholic University of Louvain, BelgiumnnHostnJohn BarasnnA reception will be held at 3:30 p.m. The lecture begins at 4:00 p.m.nnAbstractnWe present the notion of similarity matrix between two graphs and solve a matrix equation. We then show how to construct low rank approximations of this matrix for large scale graphs. This amounts to an optimization algorithm")
_but-what-are-matrices-really-124-linear-algebra-explained.webp "Autodidact")
_essence-of-linear-algebra-preview.webp "3Blue1Brown")
_david-bindel-cornell-university-latent-factor-models-lecture-1.webp "Approximate low-rank factorizations pervade matrix data analysis, often interpreted in terms of latent factor models. After discussing the ubiquitous singular value decomposition (aka PCA), we turn to factorizations such as the interpolative decomposition and the CUR factorization that offer advantages in terms of interpretability and ease of computation. We then discuss constrained approximate factorizations, particularly non-negative matrix factorizations and topic models, which are often part")
_linear-algebra-1-6-1-applications-of-linear-systems-economic-sectors.webp "Kimberly Brehm")
_ch-1-why-linear-algebra-124-maths-of-quantum-mechanics.webp "Quantum Sense")
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