Best linear algebra book reddit. So it will be a good choice for engineers. ​

The author does everything right: explains his terminology, explains why results and facts matter, and provides solutions for all of the practice problems. in "data science") if you decide to change paths in the future. All posts and comments should be directly related to mathematics, including topics related to the practice, profession and community of mathematics. This is the first math book I study alone (under no supervision). Does anybody have a good detailed Linear… Hello, I have recently finished studying calculus 1 through 3 through George Simmons' book Calculus with Analytic Geometry. Was also my book while studying linear algebra, I had a very boring teacher so I skipped class and the book was complete enough to pass. Introductory linear algebra. reReddit: Top posts of October 24, 2018 Unless you've already done this, you want to first take a course (or read a book) called "Vectors and Matrices". Google. For example books by Strang, Anton, Lay, Friedberg, Hoffman Kunze, Jänich etc. Ash (University of Illinois at Urbana-Champaign), titled: Abstract Algebra: The Basic Graduate Year, it is available as a series of PDF's on his web site. "Linear Algebra Done Right" by Sheldon Axler now free to download . It has a lot of great practice problems at the end of each section. Hi , what is the best linear algebra book/resource for specially beginner on Advanced math/linear algebra. I am self-learning linear algebra for deep learning. 06 linear algebra course. Harvard uses axler for a math class where almost all of the students have Hello everybody. I just picked it up to glance through it and I think it would work well for self study. The most relevant for your research area would be a book on "numerical" linear algebra: I recommend Trefethen and Bau. Most importantly: the exercises in those books. and the famous MIT one introduction to linear algebra by Gilbert edition 5. Hi, I’m Vetted AI Bot! I researched the 'Workman Publishing Everything You Need to Ace Pre Algebra and Algebra I in One Big Fat Notebook' and I thought you might find the following analysis helpful. Hello, I wrote a conversational style book on linear algebra with humor, visualisations, numerical example, and real-life applications. Banerjee & Roy, Linear Algebra and Matrix Analysis for Statistics. He is one of the best teachers I've ever seen. I would use the book by Friedberg, Insel, Spence for two main reasons: It's rigorous and thorough, unlike many other linear algebra books. Here a few of the standard texts to get you started. The 4th edition of Linear Algebra Done Right has an entire chapter on determinants. I'm starting a linear algebra class in my masters program, and I'm looking for a good book that might explain the concepts (or at least let me work through them) in python. He also has a full, detailed solution manual (necessary if self studying). Gallian. The second covers discretization, culminating with an intro to ODEs. If anyone is looking to pick his coarse stick to the lecture series not the book , avoid this book completely. MIT OCW has a linear algebra course online taught by the Grand Old Man, Gilbert Strang (he'd hit me if he heard me call him that). As for linear algebra Unfortunately i do not have any great learning resources, but 3blue1brown has a youtube series called "essence of linear algebra" that gives fantastic visualization to the concepts. When I took advanced linear algebra that is the book I used and I liked it, and your video series seems to follow a very similar path to the one I took. That being said, this text is heavy on the theoretical side so if you're looking for something with a mixture of theory and calculations, then: Introduction to Linear Algebra by Strang. For learning linear algebra, LADR is better than LADW. I have been trying to understand his videos since last 3 days. Questions, no matter how basic, will be answered (to the… I'm an Aerospace Engineering student taking Numerical Linear Algebra this semester. “Afternotes on Numerical Analysis” by GW Stewart is a fun introduction. Spence. My following books what interest me are -> linear algebra and it's application by David C. There are many textbooks on linear algebra. My best advice is to find out what books they recommend for the course and start reading and working exercises. The intro combinatorics book I used in undergrad. 06. Users liked: Book provides clear explanations and examples (backed by 11 comments) Book uses visual aids to enhance learning (backed by 6 comments) Jun 13, 2022 · I’m thinking to do linear algebra. You should also use a separate linear algebra text, but I think you can study then simultaneously. The Dolciani books are pretty good at this. For a more sophisticated approach, I'd check out Dummit & Foote/ Lang/ Hungerford. We would like to show you a description here but the site won’t allow us. I second the recommendation for Friedberg’s Linear Algebra. This is an older book with some dated examples but the examples are from a variety of applications and industries, which I like. i suggest langs introduction to linear algebra for a mix of computational and a little theoretical (enough to give everything meaning, but not super abstract). Here's what we did:Type "best linear algebra books" into our search engine and study the top 5+ pages. What are the best textbooks I can read? I looked around and Hubbards Vector Calculus, Janes Probability theory and either Shilov or Strang for linear algebra, seemed like good books, but are they? Jan 1, 2024 · 11 Best Linear Algebra Books of All Time. Intro to Linear Algebra by Gilbert Strang is a good matrix based linear algebra text. I hope you enjoy learning abstract algebra, it's really fun. 324K subscribers in the learnmath community. Sep 12, 2019 · $\begingroup$ Most widely used elementary linear algebra texts (published within the same 10 to 20 year period) are really not all that different in my eyes. The 13 best basic linear algebra books for beginners, such as Linear Algebra and Basic Linear Algebra. It covers all the topics you listed and culminates in a discussion of spectral theory, which can be considered a generalized treatment of diagonalization. I hope this helped. I’m looking for “standard text” in linear algebra. All of them deal with linear algebra. I think, and I have no source for this, that maybe the reason Lay used that notation was to remind the reader how to set up the augmented coefficient matrix to get the change-of-coordinates matrix. It's meant for people that don't have a good foundation from High School. The notation, the ideas, just everywhere $\begingroup$ I noticed the programme. what does a matrix multiplication does to a vector? 3Blue1Brown on YouTube has a nice series about linear algebra, which you can try. Something along the lines of 'OK, we did eigenvectors today in class. Biggest mistake on open book tests is assuming you'll be able to efficiently find something in a 200-1000 page book. You’ll be fine. CT Kelley’s “Iterative Methods for Linear and Nonlinear Equations” (the `red book’) is another classic. Basically I have not established a routine for self study yet. Go through the course content and identify the things that will be important. I have seen linear algebra done right by Axler and linear algebra by Hoffman book. A; but I wanted something more complete. Linear Algebra Done Right has all you need and even more. Unlike the calculus courses, I noticed there were no typical problem sets after a couple of units. I liked "Linear Algebra done Wrong" by Sergei Treil. Searle, Basic Matrix Algebra Useful for Statistics. Artin's "Algebra" is a great introductory book, although I do hear some good things about Jacobson's text "Basic Algebra". Make your own cheat sheet. A free book is by Robert B. I think this is a rather standard undergraduate linear algebra text, and I thought it was a pretty good book. Which make it a great second linear algebra book. Kuttler has released a book called Linear Algebra and Analysis, a comprehensive look at Linear Algebra; the material for a first course in Linear Algebra is mostly in Part I, and the other parts contain advanced material that you may be interested in after learning about Multi-Variable Calculus and Differential Equations. Def use 3b1b and khan academy, for linear algebra get axlers linear algebra done right. 14 votes, 20 comments. Add only the books mentioned 2+ times. Multivariate calculus does rely on your understanding of Linear Algebra mostly when it comes to two things: coordinate changes, and the multivariate analogues of Taylor series. Common choices include a course at your local community college, online courses from MIT, Khan Academy, etcthere are many free resources online. I'm accustomed to reading the entirety of math textbooks with ease. 065 about matrix methods in machine learning instead of old 18. I'm currently reading Linear Algebra Done Right by Sheldon Axler. Gilbert Strang. On searching of best resources of linear algebra for AI, the most suggested resource that came up was from MIT's opencourseware by Prof. Anyway, Sheldon Axler, who is more interested in abstract linear algebra, wrote a book that he provocatively called Linear Algebra Done Right, and Sergei Treil, with a more practical focus, responded with a book he jokingly called Linear Algebra Done Wrong. Do them! You learn mathematics (and physics and chemistry) by doing exercises, because generally you truly understand when you need to apply what you learned to solve a problem. Book-wise I would recommend both Strang's "Linear Algebra" and Axler's "Linear Algebra Done Right". And Gilbert Strang's Linear Algebra books have decent sections on Statistics (but from a very linear algebra oriented point of view). Also, the Schaum's books are great once you understand stuff, in my view. I’m looking for a textbook that explores the applications of linear algebra beyond what a generic introductory course covers. A little about my learning style: -I learn best with pen & paper proofs, so coding in Python without this step isn’t for me. Part 1 covers a lot of content you are looking for, but you may skip topics about module for the time being. D. It is the best theoretical linear algebra text. It is written poorly. It has short sections, clear examples and is generally an easy read. Its a great book for a second course, but not at all for a first. Linear algebra is not particularly challenging imo. Very accessible. The books I have listed are pretty common, they should have them. I highly recommend this course for linear algebra if you want to build strong foundation for machine learning. I learned from "Linear Algebra With Applications" by Steven Leon as an undergrad- it's one of the more accessible books I've used. Basically, Introductory Algebra by Blitzer is like Pre-Algebra, Algebra 1, and Algebra 2 all rolled into one. I've seen many math hobbyists recommend A Book of Abstract Algebra by Charles Pinter. By standard text, I mean standard text in real analysis is Baby Rudin, Tom Apostol, etc, and in topology Munkres, Dugundji etc. You can also watch his new course 18. The electronic version of this new fourth edition with a Creative Commons BY-NC license is availble without cost at the link below. And probably better in that regard than other books which would require at least semester of Abstract Algebra and/or Real Analysis to go through. This book is usually for advanced Linear algebra. Goode and Scott A. It comes with it's own mid term, final exam, embedded Youtube Lectures, worked examples, and even check lists for everything you should be learning. I don't think it's very popular, but it covers all this and more. I also use: Algebra: A Graduate Course by I. IMO those book is basic to my taste. Linear Algebra Done Wrong - provides a solid matrix based approach to the theory of linear algebra (as opposed to Axler’s). I think chapter 9 & 10 are irrelevant as well. Here's what I tell my students in my introductory linear algebra class: "By the fourth week of class, you will know enough linear algebra to have invented Google. Find the top 100 most popular items in Amazon Kindle Store Best Sellers. Rank the results neatly for you here! 😊 (It was You should first complete a two semester course on NA. Linear algebra is one of those "basic" areas of mathematics that are profoundly important. Insel, and Lawrence E. The book is kind of terse, though, and it goes through the basic linear algebra stuff pretty fast, so I’d only recommend it if you’ve already had an undergrad course in theoretical linear algebra before. Though I haven't taken a sole Linear Algebra course in undergrad or at the graduate level I have gained familiarity with the topic through my coursework in Vibrations, Robotic Systems, Math Methods in Physics, and Graduate Math Methods in Engineering. He has a similar book called Introduction to Linear Algebra. I have looked at several books but I am unsure about which to buy: Gentle, Matrix Algebra: Theory, Computations, and Applications in Statistics. Awesome videos, by the way! I watched the video on adjoints and it was great. This works better for me since it leads to less reading before you do problems. For a first text on linear algebra, I have been using "Linear Algebra: Step by Step" by Kuldeep Singh. We used Lay's book in my linear algebra class and my prof was also unfamiliar with the change of base notation that was used. Strang released a book in 2019 called "Linear Algebra and Learning from Data". The exercises can be challenging, but they’re not so difficult that they’re discouraging or frustrating, so it’s great for self-study. “Numerical Linear Algebra” by Trefethen and Bau is a personal fave that includes all the necessary analysis for the essentials of NLA. However, I find that reading his textbook is next to impossible and almost a waste of time. I don't think one can gain a deep understanding from them. I am Data Scientist, unless otherwise the writing the code , I have to understand the behind the codes as data. What book/books can you recommend on linear algebra? No need for a simple summary of the ideas of the section, I am looking for a book that covers this section of math in the most extensive and detailed form. For my regular undergraduate Linear Algebra class which is taken at my university by the people described in your post my professor used Linear Algebra with Applications 2nd Edition by Jeffery Holt (ISBN 1-4641-9334-7). my recommendation is going through axler's linear algebra done right book first, since it is quite short, has excellent writing, and focuses nearly only on proof based content (as opposed to trying to include much applied stuff, making the book take longer to read, as it is, its pretty quick to go through to get a handle of just proof based Discover the best Linear Algebra in Best Sellers. By rigorous, I mean every result is proven with rigorous proof, not handwaving. Currently self-studying with Linear Algebra by Friedberg Insel Spence. PDF file for Linear Algebra Done Right, fourth edition (27 July Axler's isn't that bad, my three main complaints are 1) the proofs he provides are for the most part nowhere near as involved as the arguments one needs to solve a lot of his exercises ( granted there could be less involved methods by which to solve his exercises than the ones I've found in that solutions website) and he leaves a lot of You may also want to check Advanced Linear Algebra by Steven Roman. Now, I will study linear algebra. Linear algebra takes an abstract approach, and it will be easier to understand if you are first able to do concrete calculations with matrices. I want to know linear algebra well thought to make me a better software engineer and be better at machine learning. I liked Gilbert Strang's Linear Algebra and Its Applications. This assumes an undergrad-level understanding of linear algebra (a la Poole). Really, the best thing to do is to do lots of problems. He has lectures that follow the books on MIT's open courseware. Anyone who says that this is a beginner's book is either trolling or flexing. Preferably in topics like I've also watch Gilbert Strang's 18. Brualdi. I would just add, if it is still too hard (which I doubt it will be for you, based on your comment), then I would go back and do Fearon's Pre-Algebra (maybe the We would like to show you a description here but the site won’t allow us. There are however, a few review questions in each unit, and also the accompanying text book contains problems. If you're concerned about cost check out your school's library first. Cheat sheets will a) only have the information you need, b) have a layout you kno Hello everyone, I just got done with multivariable calculus from mit ocw and will be starting the linear algebra course soon. I like this book because it’s very accessible to a reader with limited math background. But I was wondering, anyway, what this sub would recommend for learning undergraduate linear algebra comprehensively. The book is structured more like a story than a traditional textbook, meaning that every new concept that is introduced is a consequence of knowledge already acquired in this document. " Linear algebra is linear algebra. Anyway I was auditing a course for free on edX and time slipped away. There's no such thing as "linear algebra for programming. Mainly for math majors though so might be better getting something that focuses more on applications. Also provides a good foundation for the linear algebra one would encounter in a machine learning or multivariate statistics class. let's see what SciPy has for that', and then I can flip to the section and run through an example or two. Then numerical ODEs, numerical PDEs and numerical optimization. g. I think you can get two out of three pretty easily. May 26, 2015 · I personally do not think it is ideal to try to learn linear algebra from one text. So it might be too advanced. My university uses that text book for the graduate level course, while some other use it for the final year linear algebra. Our goal: Find the best Linear Algebra books according to the internet (not just one random person's opinion). . The only requirements would be a first course in linear algebra, and for good measure 2 semesters of elementary calculus. I am saying this from experience. But they are different. Treil's book also has some oddities (he really likes using row swapping and pivot stuff for proofs), but overall a good book in my opinion. Post all of your math-learning resources here. To which I realised that I have to know some maths like linear algebra, probability distribution and differentiation. When self-learning abstract algebra, I found the following books to be quite helpful: Abstract Algebra: A First Course 2nd Ed by Dan Saracino and Contemporary Abstract Algebra 6th Ed by Joseph A. Axler's proofs are very good. Differential Equations and Linear Algebra (Third Edition) by Stephen W. Another one that I like that builds slowly is "Linear Mathematics: A Practical Approach" by Patricia Clark Kenschaft. So buying Strang's classic textbook and going through the MIT OCW material would definitely teach you the topic. I’m very rough on my linear algebra skills and I would like to practice over the summer. And I've found this amazing course: Essence of Linear Algebra, by MathTheBeautiful, which keeps the qualities of 3B1B, showing the power of creativity, deduction, pattern recognition and etc Linear Algebra Done Right Sheldon Axler. I've taken linear algebra using Hefferon's textbook. A great book freely available online is Linear Algebra Done Wrong by Sergei Treil. It's free online and a hard copy is about 20 bucks. Between that and Apostol's "Calculus" (volumes 1 and 2, which do cover linear algebra), I think a got a pretty good handle on linear algebra. My rationale for studying this is to enhance my background for getting better at computer science. Figure out what textbook you're going to be using for the class (probably Griffiths) and get it ahead of time, then try and skim through it to get an idea of the math used, that will give Then I was recommended Linear Algebra Done Right by Axler. Uh I think anyone telling you to learn linear algebra from Axler for the first time is doing you a serious disservice. A fairly rigorous intro would be Linear Algebra by Jim Hefferon. I'm already in chapter 3. It can be very abstract at times, and you’ll see lots of new ideas, but if you pay attention and really think about the theorems and techniques you learn, you’ll do fine. Posted by u/Itchy_Category_8554 - 3 votes and no comments If you need some practice problems now, Jim Hefferon's Linear Algebra is a free textbook available online (as a pdf) on the topic, and it has, like 50ish, problems for each of the chapters, and each problem has a worked solution in the accompanying solutions book. It is very good at the conceptual aspects of the subject, and in particular focuses on abstract topics starting as early as chapter 2. e. Tom Apostol's Calculus (vols 1 and 2) have decent sections on linear algebra. Linear Algebra by Hefferon We would like to show you a description here but the site won’t allow us. I studied Math in high school (8 years ago) and did a course in college a few years ago about Set theory and combinatorics which I liked and was pretty successful in. I ordered the sixth edition of Gilbert Strang's Introduction to Linear Algebra but realized I already had the third edition of David Lay's Linear Algebra and its Applications, so I started working through Lay's book until Strang's book Click here to order the book from Wellesley-Cambridge Press (USA) Textbooks by Gilbert Strang / Video links and book websites Linear Algebra for Everyone (2020) Linear Algebra and Learning from Data (2019) Differential Equations and Linear Algebra Computational Science and Engineering Calculus [top] Sample sections from the book In United states usually the first year Linear algebra is a determinant based linear algebra. Take either linear algebra, calculus 3, numerical methods, or engineering math Linear Algebra: As stated, it's everywhere in machine learning, graphics, AI, anything related to data. However I cannot think about an "introductory" book that treat endomorphism algebra and linear group like that. Not books, but a YT video series: if you haven't watched 3b1b Linear Algebra series, I suggest you do so. Introductory Combinatorics by Richard A. Again don't learn linear algebra from his book. Feb 1, 2021 · This may be the best math-instruction book I have ever read. Worth checking out IMO. Mit ocw gets good reviews but tbh I found it thought to follow, you should try though. edit: Also, just to warn, Gel'fand's style is completely the polar opposite of any other LA book I've seen, extremely concise, few examples, very much in what might be called "the Russian Style" of Mathematics/Physics textbook. My personal favorite text is the one by Gilbert Strang. If I read the MIT press deep learning book I find I understand 95%, but whenever the book gets the most math heavy, I get lost. I didn’t take 250 here, but I’m taking 350 now, and our first quiz was exclusively on 250 material. Other good books would be Hoffman and Kunze's linear algebra book or Dummit and Foote. I guess this has the approach the OP needs, since everything is built with ML in mind. Best of luck! So for me which linear algebra book befits me. Linear Algebra and its Applications by Strang. However, you shouldn't assume that what is covered in graduate linear algebra isn't advanced, especially if it is assuming undergraduate linear algebra as a prerequisite. But it is a serious We would like to show you a description here but the site won’t allow us. There’s two versions to consider: Algebra 1 & 2 (these are probs my out of print) and the Algebra Structure and Method Books 1 and 2 ( these are still available on Amazon but they are pricey. Friedberg, Arnold J. So it will be a good choice for engineers. " Fourth week. Martin Isaacs, it has its strengths and weaknesses. This obscures the point, imho. The only precursor I have on linear Algebra is watching the “Essence of Linear Algebra” Series by 3blue1brown to gain geometric intuition of what is happening, and I am following along just fine with Strang’s lecture. Kenneth L. I'd also recommend avoiding things at first that describe a tensor product of vector spaces as a multilinear functional on those vector spaces. Linear Algebra Done Right by Sheldon Axler. For example, Strang focuses on the application of linear algebra. and of course, if you are looking for an almost only theoretical book, axlers linear algebra done right is the best to go with. To pass the CBC, I picked a random book that I found in a bookstore, Elements of Linear Algebra by Paige, Swift, and Slobko. In my undergraduate linear algebra class we used David Lay's book, Linear Algebra and Its Applications. comments sorted by Best Top New Controversial Q&A The book only deals with linear algebra over [; Reddit . So, I wanted something like this: Essence of Linear Algebra, by 3blue1Brown, which really showed the beauty of L. If you want to understand linear algebra, get this book. I think it's the most concise linear algebra courses out there with great visuals for explaining stuffs that isn't typically taught in classroom (i. 29 votes, 35 comments. The book can be found on Libgen. What I would suggest is to browse the library shelves of a nearby college/university library and see what seems to fit your specific likes and dislikes. Sheldon Axler's book is proof based. It's easy to follow, provides intuition and examples, and covers a ton of material. Johnson & Johnson AstraZeneca Walgreens Best Buy Novavax In the Top 1% of largest communities on Reddit. There are also videos of the TA’s working out problems for extra examples that are very useful. I want to give it one more try. Then you'd move on to numerical linear algebra, the best text is by Watkins, not Trefethen. true. If u want Calc and algebra in one get Hubbard vector Calc linear algebra diff forms This book is shitt compared to the lecture series given by him. Fieller, Basics of Matrix Algebra for Statistics with R. H&H is great because it incorporates linear algebra into calculus and drives home the importance of thinking of (differential) calculus as the study of best linear approximations to functions and the use of LA for that purpose, but as others have said it really only focuses on the LA content We would like to show you a description here but the site won’t allow us. This subreddit is for discussion of mathematics. Similarly, any list of linear algebra books which includes this book is suspect. A syllabus will tell you which topics to cover/skip. Artin uses matrix groups to explore abstract algebra so it might be good for someone who completed Gilbert Strang's Linear Algebra lectures and assignments on mit's opencourseware. Mit uses Strang for their intro linear algebra class, which is way easier than Axler. As I mentioned I am not good at math , so I need best resourse for beginner friendly. . Do a Google search for "Linear algebra courses" and pick one that looks appealing to you. A lot of quantum also involves linear algebra in infinite-dimensional spaces, which typically is not touched on in most intro linear algebra courses/texts. His lectures are gold. On the other hand, I know a couple of people that hate this book, so I guess it gets mixed reviews. Was wondering if anyone had any recommendations for the “best” (slippery term so apologies) linear algebra book or course for someone who is competent in programming and can generally grasp mathematical concepts well. One of the best Linear Algebra textbooks out there. Annin is a good textbook, as is Abstract Algebra by Dummit and Foote, and Linear Algebra by Stephen H. I’ve already taken an introductory course in linear algebra and have a strong background in math/stats (up to real analysis, PDEs, & numerical analysis), with some programming experience. I've read my complete calculus textbook and my ode text book with no problems what's so ever. I am happy to announce publication of the fourth edition of Linear Algebra Done Right as an Open Access book. BTW these are very hot/valuable skills in industry (e. I think Linear Algebra Done Wrong by Sergei Treil is designed to be an alternative to LADR if you're looking for determinants and computational methods to be introduced a little sooner, although still just as heavily proof-based. Can't hear anyone say "Linear Algebra is a piece of cake" without thinking of this:D . One person asked a question on here a while back about linear algebra books that are lighter on the theory than typical proof-based undergraduate treatments like Kunze / Friedrich, Insel n' Spence, but aren't just 1,000,000,000 examples of converting to REF or RREF as happens in some computational books. I don't think this would cover the type of applied linear algebra the OP seeks (at least I assume). "Linear Algebra: Foundation to Frontier" is by far the best book for self study as it was made completely with that in mind. fl yp sw kd yb kz wc hz ej ek