Recommended BooksHere is a list of books which I had read and feel it was worth recommending to friends who was interested in computer Scie nCE.Machine Learningpattern recognition and machine learningChristopher M. BishopA new treatment of classic machine learning topics, such as classification, regression, and time se
1. The complete course of statistics all of statistics Carnegie Kimelon Wosseman
2. Fourth edition, "Probability Theory and Mathematical Statistics" Morris. Heidegger, Morris H.degroot, and Mark. Schevish (Mark j.shervish)
3. Introduction to Linear algebra, Gilbert. Strong--Online video tutorials are classic
4. "Numerical linear algebra", Tracy Füssen. Lloyd and David. Bao
Textbooks suitable for undergraduates
5. Predictive data analysis of machine
is very complete, combined with the later exercise with the R language of their own contact, for understanding the basic methods of machine learning is very helpful, such as: Logistic,ridge regression. The book can also be downloaded directly to the electronic version on the author's website.
http://statweb.stanford.edu/~tibs/ElemStatLearn/
With a theoretical basis, combined with a number of professors of
~ ~):
Machine learning, data mining (the second half of the main entry):
"Introduction to Data Mining"
read a few chapters, feel good. Read the review again.
"Machine learning"
Stanford Open Class is the main.
"Linear Algebra", seventh edition, American Steven J.leon
There are examples of applications, looking at
Starter Book List
The beauty of mathematics PDFThe author Wu Everyone is familiar with it. The application of mathematics in the fields of machine learning and natural language processing is described in a very popular language.
"Programming Collective Intelligence" ("collective Wisdom Programming") PDFAuthor Toby Segaran is also the author of Beautifuldata:the Stories Behind Elegant Data Solutions (t
Starter Book List
The beauty of mathematics PDFThe author Wu Everyone is familiar with it. The application of mathematics in the fields of machine learning and natural language processing is described in a very popular language.
"Programming Collective Intelligence" ("collective Wisdom Programming") PDFAuthor Toby Segaran is also the author of Beautifuldata:the Stories Behind Elegant Data Solutions (t
Links: Http://suanfazu.com/t/topic/15 Starter Book list
The beauty of mathematics PDF586The author Wu Everyone is familiar with it. The application of mathematics in the fields of machine learning and natural language processing is described in a very popular language.
"Programming Collective Intelligence" ("collective Intelligence Programming") PDF343Author Toby Segaran is also the author of Beautifu
and is easily downloaded and modified by the reader.The following books will not be introduced, share the graphic coverHere is still to recommend my own built Python development Learning Group: 725479218, the group is the development of Python, if you are learning Python, small series welcome you to join, everyone is the software Development Party, not regularly
prediction
Naturual Language Processing
Coursera Course Book on NLP
NLTK
NLP W/python
Foundations of statistical Language processing
Probability Statistics
Thinking Stats-book + Python Code
From algorithms to Z-scores-book
The Art of R Programming-book (not finished)
All of Statistics
Introduction to statistical thought
Basic probability theory
Introduction to probability
Principle of uncertainty
Probability Statistics Cookbo
Here is a list of books which I had read and feel it was worth recommending to friends who was interested in computer Scie nCE.Machine Learningpattern recognition and machine learningChristopher M. BishopA new treatment of classic machine learning topics, such as classification, regression, and time series analysis fro
Recommended BooksHere is a list of books which I had read and feel it was worth recommending to friends who was interested in computer Scie nCE.Machine Learningpattern recognition and machine learningChristopher M. BishopA new treatment of classic machine learning topics, such as classification, regression, and time se
approximation and generalized beliefPropagation algorithms.pdfLoopy belief propagation for approximate inference an empirical study.pdfLoopy belief propagationdeletion
AP (affinity propagation ):
L-BFGS:On the limited memory BFGS method for large scale optimizationscalingIIS:Iis.pdf
========================================================== ======================================Theoretical part:Probability graph (Probabilistic networks ):An Introduction to Variational Methods for graphical mode
Recommendation of good books for front-end learning and recommendation of good books for learningWhy write this blog?
The front-end content does not start classes at school. As a front-end student, it must be self-taught. If you are self-taught, you can either query information online, watch videos, or buy books. The o
Web Programming Volume 1, 2 author W.richard Stevens"UNIX Network Programming"Xwindow programmingDefinitive Guides to the X windowsystem author Dan Heller, Paula M. FergusonKernel source code reading (combined with source code) and programmingEntryLearn the Linux kernel guide at the edge of the dry sideAdvanced"Linux Kernel Development""Linux kernel source code scenario analysis""Deep analysis of Linux kernel source code" Chen Li"Understanding Linux Network Internals" is an in-depth understandi
Share some learning materials-a large number of PDF e-books and learning materials pdf e-books
Share some learning e-books and give them children's shoes who like to read books instead
written text can really deepen the understanding of the problem, and constantly self-thinking. After all, I write these things not for the sake of books, but to accumulate the key content of learning flexibly, and to do better knowledge management. Of course, it would be better if it helped the reader.Reprint please indicate the author Jason Ding and its provenanceGitHub home page (http://jasonding1354.git
I recently want to learn python deep learning, because I want to use python for Image Recognition and related entry books. The best Chinese. It is to give a picture to identify what the plot looks like. I recently want to learn python deep learning, because I want to use python for Image Recognition and related entry books
Learn more about Python deep learning recently, because you want to use Python to do graphics recognition and get the relevant introductory books. Chinese is the best.
is to give a picture that identifies what the image is.
Reply content:This is a
a more completeLearning path for image recognition using deep learning, not deep
[Introduction to machine learning] Li Hongyi Machine Learning notes-9 ("Hello World" of deep learning; exploring deep learning)
PDF
Video
Keras
Example application-handwriting Digit recognition
Step 1
Source Address: http://blog.chinaunix.net/uid-26020768-id-3155898.html
1. Digital Image Processing, Gonzalez, Ma qiuqi, e-Industry Press;
2. opencv basics, Yu Shiqi, Liu Rui, Beijing University of Aeronautics and Astronautics Press;
3. Learning opencv computer vision with the opencv library, Gary bradski, Adrian kaebler, O 'Reilly
4. pattern recognition, Bian zhaoqi, Zhang xuesong, Tsinghua University Press;
5. Pattern Classification (English Version
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