Author: Mathematics Analysis

#MathematicsAnalysis .

Video source Youtube

Author: Neso Academy

Computer Networks: Network Topologies in Computer Networks

Topics discussed:

1) Network Topology.

2) Physical and Logical Topology.

3) Bus Topology.

4) Ring Topology.

5) Star Topology.

6) Mesh Topology.

7) Hybrid Topology.

Follow Neso Academy on Instagram: @nesoacademy (https://bit.ly/2XP63OE)

Contribute: http://www.nesoacademy.org/donate

Memberships: https://bit.ly/2U7YSPI

Books: http://www.nesoacademy.org/recommended-books

Website ► http://www.nesoacademy.org/

Forum ► https://forum.nesoacademy.org/

Facebook ► https://goo.gl/Nt0PmB

Twitter ► https://twitter.com/nesoacademy

Music:

Axol x Alex Skrindo – You [NCS Release]

#ComputerNetworksByNeso #ComputerNetwork #NetworkTopology .

Video source Youtube

Author: MindYourDecisions

In the figure, what is the value of angle x? This problem is known as Langley’s Adventitious Angles. It is also known as the hardest easy geometry problem because it can be solved by elementary methods but it is notoriously difficult to work out. Can you figure it out? The video presents a solution to this tricky geometry problem.

*At 5:04 I misspoke. I meant BG = BF. We wil shortly prove BG = GF.

Blog post

http://wp.me/p6aMk-4Me

Wikipedia entry https://en.wikipedia.org/wiki/Langley%E2%80%99s_Adventitious_Angles

Math with Bad Drawings Solution

World’s hardest easy geometry problem

http://thinkzone.wlonk.com/MathFun/Triangle.htm

https://www.duckware.com/tech/worldshardesteasygeometryproblem.html

Subscribe: https://www.youtube.com/user/MindYourDecisions?sub_confirmation=1

Playlist to watch all videos on MindYourDecisions

This is the only channel to feature math topics suggested by people around the world. Support the channel on Patreon so we can share the beauty of mathematics and make the world a better place:

https://www.patreon.com/mindyourdecisions

If you buy from the links below I may receive a commission for sales. This has no effect on the price for you.

My Books

“The Joy of Game Theory” shows how you can use math to out-think your competition. (rated 4/5 stars on 34 reviews)

http://amzn.to/1uQvA20

“The Irrationality Illusion: How To Make Smart Decisions And Overcome Bias” is a handbook that explains the many ways we are biased about decision-making and offers techniques to make smart decisions. (rated 4.6/5 stars on 3 reviews)

http://amzn.to/1o3FaAg

“Math Puzzles Volume 1” features classic brain teasers and riddles with complete solutions for problems in counting, geometry, probability, and game theory. Volume 1 is rated 4.4/5 stars on 13 reviews.

http://amzn.to/1GhUUSH

“Math Puzzles Volume 2” is a sequel book with more great problems. (rated 4.5/5 stars on 6 reviews)

http://amzn.to/1NKbyCs

“Math Puzzles Volume 3” is the third in the series. (rated 4/5 stars on 6 reviews)

http://amzn.to/1NKbGlp

“40 Paradoxes in Logic, Probability, and Game Theory” contains thought-provoking and counter-intuitive results. (rated 4.4/5 stars on 13 reviews)

http://amzn.to/1LOCI4U

“The Best Mental Math Tricks” teaches how you can look like a math genius by solving problems in your head (rated 4.8/5 stars on 5 reviews)

http://amzn.to/18maAdo

“Multiply Numbers By Drawing Lines” This book is a reference guide for my video that has over 1 million views on a geometric method to multiply numbers. (rated 4.4/5 stars on 5 reviews)

http://amzn.to/XRm7M4

Connect with me

My Blog: https://mindyourdecisions.com/blog/

Twitter: https://twitter.com/preshtalwalkar

Facebook: https://www.facebook.com/pages/Mind-Your-Decisions/168446714965

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Patreon: https://www.patreon.com/mindyourdecisions

Newsletter (sent only for big news, like a new book release): http://eepurl.com/KvS0r .

Video source Youtube

Author: Michael Penn

We look at the solution to a nice combinatorics problem. In particular, we answer the following:

Is is possible to arrange the numbers 1,2,3,..2020 in an order so that the average of any two numbers in the list is not between these two numbers in the list.

A version of this problem is found in the following book:

102 Combinatorial Problems: https://amzn.to/2YXR4zR

Please Subscribe: https://www.youtube.com/michaelpennmath?sub_confirmation=1

Personal Website: http://www.michael-penn.net

Randolph College Math: http://www.randolphcollege.edu/mathematics/

Randolph College Math and Science on Facebook: https://www.facebook.com/randolph.science/

Research Gate profile: https://www.researchgate.net/profile/Michael_Penn5

Google Scholar profile: https://scholar.google.com/citations?user=W5wkSxcAAAAJ&hl=en

If you are going to use an ad-blocker, considering using brave and tipping me BAT!

https://brave.com/sdp793

Books I like:

Abstract Algebra:

Judson(online): http://abstract.ups.edu/

Judson(print): https://amzn.to/2Xg92wD

Dummit and Foote: https://amzn.to/2zYOrok

Gallian: https://amzn.to/2zg4YEo

Artin: https://amzn.to/2LQ8l7C

Differential Forms:

Bachman: https://amzn.to/2z9wljH

Number Theory:

Crisman(online): http://math.gordon.edu/ntic/

Strayer: https://amzn.to/3bXwLah

Andrews: https://amzn.to/2zWlOZ0

Analysis:

Abbot: https://amzn.to/3cwYtuF

How to think about Analysis: https://amzn.to/2AIhwVm

Calculus:

OpenStax(online): https://openstax.org/subjects/math

OpenStax Vol 1: https://amzn.to/2zlreN8

OpenStax Vol 2: https://amzn.to/2TtwoxH

OpenStax Vol 3: https://amzn.to/3bPJ3Bn .

Video source Youtube

Read moreGroup theory, abstraction, and the 196,883-dimensional monster

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Author: 3Blue1Brown

An introduction to group theory, and the monster group.

Enjoy these videos? Consider sharing one or two.

Supported by viewers: https://3b1b.co/monster-thanks

Minor error corrections below↓↓↓

Timestamps:

0:00 – The size of the monster

0:50 – What is a group?

7:06 – What is an abstract group?

13:27 – Classifying groups

18:31 – About the monster

Errors:

*Typo on the “hard problem” at 14:11, it should be a/(b+c) + b/(a+c) + c/(a+b) = 4

*Typo-turned-speako: The classification of quasithin groups is 1221 pages long, not 12,000. The full collection of papers proving the CFSG theorem do comprise tens of thousands of pages, but no one paper was quite that crazy.

Thanks to Richard Borcherds for his helpful comments while putting this video together. He has a wonderful hidden gem of a channel: https://youtu.be/a9k_QmZbwX8

You may also enjoy this brief article giving an overview of this monster:

http://www.ams.org/notices/200209/what-is.pdf

If you want to learn more about group theory, check out the expository papers here:

https://kconrad.math.uconn.edu/blurbs/

Videos with John Conway talking about the Monster:

More on Noether’s Theorem:

The symmetry ambigram was designed by Punya Mishra:

The Monster image comes from the Noun Project, via Nicky Knicky

This video is part of the #MegaFavNumbers project: https://www.youtube.com/playlist?list=PLar4u0v66vIodqt3KSZPsYyuULD5meoAo

To join the gang, upload your own video on your own favorite number over 1,000,000 with the hashtag #MegaFavNumbers, and the word MegaFavNumbers in the title by September 2nd, 2020, and it’ll be added to the playlist above.

——————

These animations are largely made using manim, a scrappy open-source python library: https://github.com/3b1b/manim

If you want to check it out, I feel compelled to warn you that it’s not the most well-documented tool, and it has many other quirks you might expect in a library someone wrote with only their own use in mind.

Music by Vincent Rubinetti.

Download the music on Bandcamp:

https://vincerubinetti.bandcamp.com/album/the-music-of-3blue1brown

Stream the music on Spotify:

If you want to contribute translated subtitles or to help review those that have already been made by others and need approval, you can click the gear icon in the video and go to subtitles/cc, then “add subtitles/cc”. I really appreciate those who do this, as it helps make the lessons accessible to more people.

——————

3blue1brown is a channel about animating math, in all senses of the word animate. And you know the drill with YouTube, if you want to stay posted on new videos, subscribe: http://3b1b.co/subscribe

Various social media stuffs:

Website: https://www.3blue1brown.com

Twitter: https://twitter.com/3blue1brown

Reddit: https://www.reddit.com/r/3blue1brown

Instagram: https://www.instagram.com/3blue1brown_animations/

Patreon: https://patreon.com/3blue1brown

Facebook: https://www.facebook.com/3blue1brown .

Video source Youtube

Author: Sosa

I’m the worst at math. Most people are lol. In this video, I wanted to talk about some of my struggles with math as a Computer Science major and hopefully ease some of your concerns with starting or continuing with the major.

••••••••••••••••••••••••

About me:

I’m a software engineer currently working at a really dope company in Silicon Valley. I’m about a year and a half out from college where I graduated with a degree in Computer Science. This channel is all about helping people who want to know more about software engineering and/or computer science and for me to be a helping hand in any way I can.

••••••••••••••••••••••••

Keep up with my socials!!

Instagram – http://instagram.com/sosaasiruwa/

Twitter – http://twitter.com/sosaasiruwa

••••••••••••••••••••••••

Thanks for watching. You da best.

love,

sosa .

Video source Youtube

Read moreStatistics And Probability Tutorial | Statistics And Probability for Data Science | Edureka

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Author: edureka!

** Data Science Certification using R: https://www.edureka.co/data-science **

This session on Statistics And Probability will cover all the fundamentals of stats and probability along with a practical demonstration in the R language. The following topics are covered in this session:

3:23 What Is Data?

4:17 Categories Of Data

9:01 What Is Statistics?

11:20 Basic Terminologies In Statistics

12:35 Sampling Techniques

17:46 Types Of Statistics

20:22 Descriptive Statistics

21:25 Measures Of Centre

25:40 Measures Of Spread

32:06 Information Gain & Entropy

44:13 Confusion Matrix

49:00 Descriptive Statistics Demo

53:09 Probability

55:33 Terminologies In Probability

57:46 Probability Distribution

1:03:00 Types Of Probability

1:10:00 Bayes’ Theorem

1:15:34 Inferential Statistics

1:16:09 Point Estimation

1:19:05 Interval Estimation

1:22:23 Margin Of Error

1:22:57 Estimating Level Of Confidence

1:26:25 Hypothesis Testing

1:30:25 Inferential Statistics Demo

Blog Series: http://bit.ly/data-science-blogs

Data Science Training Playlist: http://bit.ly/data-science-playlist

– – – – – – – – – – – – – – – – –

Subscribe to our channel to get video updates. Hit the subscribe button above: https://goo.gl/6ohpTV

Instagram: https://www.instagram.com/edureka_learning/

Facebook: https://www.facebook.com/edurekaIN/

Twitter: https://twitter.com/edurekain

LinkedIn: https://www.linkedin.com/company/edureka

– – – – – – – – – – – – – – – – –

About the Course

Edureka’s Data Science course will cover the whole data lifecycle ranging from Data Acquisition and Data Storage using R-Hadoop concepts, Applying modeling through R programming using Machine learning algorithms and illustrate impeccable Data Visualization by leveraging on ‘R’ capabilities.

– – – – – – – – – – – – – –

Why Learn Data Science?

Data Science training certifies you with ‘in demand’ Big Data Technologies to help you grab the top paying Data Science job title with Big Data skills and expertise in R programming, Machine Learning and Hadoop framework.

After the completion of the Data Science course, you should be able to:

1. Gain insight into the ‘Roles’ played by a Data Scientist

2. Analyze Big Data using R, Hadoop and Machine Learning

3. Understand the Data Analysis Life Cycle

4. Work with different data formats like XML, CSV and SAS, SPSS, etc.

5. Learn tools and techniques for data transformation

6. Understand Data Mining techniques and their implementation

7. Analyze data using machine learning algorithms in R

8. Work with Hadoop Mappers and Reducers to analyze data

9. Implement various Machine Learning Algorithms in Apache Mahout

10. Gain insight into data visualization and optimization techniques

11. Explore the parallel processing feature in R

– – – – – – – – – – – – – –

Who should go for this course?

The course is designed for all those who want to learn machine learning techniques with implementation in R language, and wish to apply these techniques on Big Data. The following professionals can go for this course:

1. Developers aspiring to be a ‘Data Scientist’

2. Analytics Managers who are leading a team of analysts

3. SAS/SPSS Professionals looking to gain understanding in Big Data Analytics

4. Business Analysts who want to understand Machine Learning (ML) Techniques

5. Information Architects who want to gain expertise in Predictive Analytics

6. ‘R’ professionals who want to captivate and analyze Big Data

7. Hadoop Professionals who want to learn R and ML techniques

8. Analysts wanting to understand Data Science methodologies.

For online Data Science training, please write back to us at sales@edureka.in or call us at IND: 9606058406 / US: 18338555775 (toll-free) for more information. .

Video source Youtube

Read moreIntroduction to Topology. Fundamental Groups. Homeomorphisms

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Author: Math For Life

Introduction to Topology. In this video, I will introduce the motivation to study topology. I will talk about topological spaces, continuous maps, homeomorphisms, and what does it mean to be homeomorphic.

If you like the video, please help my channel grow by subscribing to my channel and sharing my videos.

Thank you for watching!

Maksym Zubkov

zubkovmaksym@gmail.com .

Video source Youtube

Author: Mathemaniac

What is combinatorics? What are the founding principles of combinatorics? Combinatorics is among the least talked about in the online world, especially for recreational mathematics. This video series will explore very deeply about one problem in combinatorics (about queuing in a bank), which will guide you through the wonders of the field, as well as how research is done.

The next video will be a crash course in combinatorics. So stay tuned if you are not familiar with combinatorics. In fact, this video series is designed for newbies in combinatorics, so there is no need to worry about whether you know the subject or not.

Other than commenting on the video, you are very welcome to fill in a Google form linked below, which helps me make better videos by catering for your math levels:

https://forms.gle/QJ29hocF9uQAyZyH6

If you want to know more interesting Mathematics, stay tuned for the next video!

SUBSCRIBE and see you in the next video!

#mathemaniac #math #combinatorics #banking #deepdive #introduction #research .

Video source Youtube

Author: Michael Penn

We present some basics of divisibility from elementary number theory. .

Video source Youtube

Read moreMaths for Programmers Tutorial – Full Course on Sets and Logic

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Author: freeCodeCamp.org

Learn the maths and logic concepts that are important for programmers to understand.

Shawn Grooms explains the following concepts:

(00:00) Tips For Learning

(01:32) What Is Discrete Mathematics?

(03:45) Sets – What Is A Set?

(06:22) Sets – Interval Notation & Common Sets

(08:25) Sets – What Is A Rational Number?

(10:18) Sets – Here Is A Non-Rational Number

(12:17) Sets – Set Operators

(13:45) Sets – Set Operators (Examples)

(15:49) Sets – Subsets & Supersets

(17:30) Sets – The Universe & Complements

(20:02) Sets – Subsets & Supersets (Examples)

(21:56) Sets – The Universe & Complements (Examples)

(24:16) Sets – Idempotent & Identity Laws

(25:14) Sets – Complement & Involution Laws

(27:08) Sets – Associative & Commutative Laws

(28:42) Sets – Distributive Law (Diagrams)

(30:22) Sets – Distributive Law Proof (Case 1)

(32:07) Sets – Distributive Law Proof (Case 2)

(33:48) Sets – Distributive Law (Examples)

(35:25) Sets – DeMorgan’s Law

(37:32) Sets – DeMorgan’s Law (Examples)

(39:38) Logic – What Is Logic?

(41:26) Logic – Propositions

(43:06) Logic – Composite Propositions

(44:41) Logic – Truth Tables

(46:30) Logic – Idempotent & Identity Laws

(48:13) Logic – Complement & Involution Laws

(49:58) Logic – Commutative Laws

(51:35) Logic – Associative & Distributive Laws

(53:09) Logic – DeMorgan’s Laws

(54:23) Logic – Conditional Statements

(55:45) Logic – Logical Quantifiers

(57:59) Logic – What Are Tautologies?

—

Learn to code for free and get a developer job: https://www.freecodecamp.org

Read hundreds of articles on programming: https://medium.freecodecamp.org

And subscribe for new videos on technology every day: https://youtube.com/subscription_center?add_user=freecodecamp .

Video source Youtube

Read moreThe mathematician who cracked Wall Street | Jim Simons

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Author: TED

Jim Simons was a mathematician and cryptographer who realized: the complex math he used to break codes could help explain patterns in the world of finance. Billions later, he’s working to support the next generation of math teachers and scholars. TED’s Chris Anderson sits down with Simons to talk about his extraordinary life in numbers.

TEDTalks is a daily video podcast of the best talks and performances from the TED Conference, where the world’s leading thinkers and doers give the talk of their lives in 18 minutes (or less). Look for talks on Technology, Entertainment and Design — plus science, business, global issues, the arts and much more.

Find closed captions and translated subtitles in many languages at http://www.ted.com/translate

Follow TED news on Twitter: http://www.twitter.com/tednews

Like TED on Facebook: https://www.facebook.com/TED

Subscribe to our channel: http://www.youtube.com/user/TEDtalksDirector .

Video source Youtube

Read moreTerence Tao's Analysis I and Analysis II Book Review

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Author: The Math Sorcerer

In this video I go over two amazing books written by Terence Tao.The books are Analysis I and Analysis II.

These are the books on amazon

Analysis I: https://amzn.to/2T310oF

Analysis II: https://amzn.to/2SNpnI5

The links above are my affiliate links.

For more book reviews check out my playlist

https://www.youtube.com/playlist?list=PLO1y6V1SXjjM-1azbCNYq2-A1_7KaioNr .

Video source Youtube

Read moreGenetic algorithm ecosystem in Houdini -4 | Clustered bloops and statistics visualization

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Author: Sohey

It seems medium-size bloops can survive .

This is still an asexual reproduction. However, this time I divid them into 5 clusters.

Basically there will be 5 sizes. Since DNAs might mutate, there will be some random sizes for such bloops. But they still inherit colors from their parents.

I add a visualization for the ecosystem which I think it’s fun to watch.

– Horizontal bars: Health.

– Curves in the circle: parent-child relation.

– Vertical hexagonal bars: moving speed.

– a,b,c,d,e with numbers: the counters for these 5 bloop families.

The probability of reproduction is 25% lesser than last asexual reproduction video, so there will be lesser bloops.

Video source Vimeo

Author: Richard E. BORCHERDS

This lecture is part of an online undergraduate course on the theory of numbers.

This is the introductory lecture, which gives an informal survey of some of the topics to be covered in the course, such as Diophantine equations, quadratic reciprocity, and binary quadratic forms. .

Video source Youtube

Author: Don’t Memorise

To learn more about Algebraic Expression, enrol in our full course now: https://bit.ly/AlgebraiExpressionsDM

In this video, we will learn:

0:00 What is Algebra?

1:04 why we use variables?

1:31 what’s the real advantage of using variables?

To watch more videos related to Algebra, click here: https://bit.ly/AlgebraPart1_DMYT

Don’t Memorise brings learning to life through its captivating educational videos.

New videos every week. To stay updated, subscribe to our YouTube channel: http://bit.ly/DontMemoriseYouTube

Register on our website to gain access to all videos and quizzes:

http://bit.ly/DontMemoriseRegister

Join us on Facebook: http://bit.ly/DontMemoriseFacebook

Follow us: http://bit.ly/DontMemoriseBlog

#Algebra #PreAlgebra #AlgebraBasics .

Video source Youtube