Jekyll2019-04-19T01:15:50+00:00http://rrevanth.github.io/Revanth RevooriI am a developer, photography enthusiast, and self-proclaimed music connoisseur.This is where I write about awesome things that intrigue me.Revanth RevooriMachine Learning Beginner to Advance2017-01-14T19:06:00+00:002017-01-14T19:06:00+00:00http://rrevanth.github.io/reads/2017/01/machine-learning-beginner-to-advance<blockquote class="notequote">
<p>I will be sharing every post that I read small to big here which deemed interesting and helps me grasp a better understanding on the particulat topic of Machine Learning concept.
This is like awesome-ml curated list of my own findings :)</p>
</blockquote>
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<h2 id="understanding-statistics">Understanding Statistics</h2>
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<p><a class="embedly-card" href="http://www.stat.cmu.edu/~larry/=stat705/">Intermediate Statistics <i class="fa fa-external-link"></i></a></p>
<p><a class="embedly-card" href="http://www.stat.cmu.edu/~siva/700/main.html">Probability and Mathematical Statistics <i class="fa fa-external-link"></i></a></p>
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<h2 id="machine-learning">Machine Learning</h2>
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<p><a class="embedly-card" href="https://work.caltech.edu/telecourse.html#lectures">Learning from Data <i class="fa fa-external-link"></i></a></p>
<p><a class="embedly-card" href="http://www.cs.cmu.edu/~tom/10701_sp11/">Machine Learning <i class="fa fa-external-link"></i></a></p>
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<h2 id="svm-support-vector-machines">SVM [Support Vector Machines]</h2>
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<p><a class="embedly-card" href="http://www.svm-tutorial.com/2016/09/convex-functions/">SVM Understanding the math-Series <i class="fa fa-external-link"></i></a></p>
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<h2 id="deep-learning">Deep Learning</h2>
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<p><a class="embedly-card" href="https://iamtrask.github.io/2017/01/15/pytorch-tutorial/">Deep Learning in PyTorch <i class="fa fa-external-link"></i></a></p>
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<h2 id="course-series-resources">Course Series Resources</h2>
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<p><a class="embedly-card" href="https://lagunita.stanford.edu/courses/HumanitiesSciences/StatLearning/Winter2016/info">Stanford Lectures - Statistical Learning <i class="fa fa-external-link"></i></a></p>
<p><a class="embedly-card" href="https://www.quora.com/What-is-the-best-MOOC-to-get-started-in-Machine-Learning/answer/Xavier-Amatriain?srid=3cks">Quora answer to video series getting started <i class="fa fa-external-link"></i></a></p>
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<h2 id="other-resources"><strong>Other Resources</strong></h2>
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<p><a class="embedly-card" href="http://simplystatistics.org/archive/">Resources on Statistics <i class="fa fa-external-link"></i></a></p>
<p><a class="embedly-card" href="https://www.r-bloggers.com/in-depth-introduction-to-machine-learning-in-15-hours-of-expert-videos/">Resources on ML & R <i class="fa fa-external-link"></i></a></p>
<p><a class="embedly-card" href="https://www.analyticsvidhya.com/blog/2016/02/free-read-books-statistics-mathematics-data-science/">Resources on ML,Statistics <i class="fa fa-external-link"></i></a></p>
<p><a class="embedly-card" href="https://www.analyticsvidhya.com/blog/2015/10/read-books-for-beginners-machine-learning-artificial-intelligence/">Books to read on ML,AI <i class="fa fa-external-link"></i></a></p>Revanth RevooriI will be sharing every post that I read small to big here which deemed interesting and helps me grasp a better understanding on the particulat topic of Machine Learning concept.
This is like awesome-ml curated list of my own findings :)
Understanding Statistics
Intermediate Statistics
Probability and Mathematical Statistics
Machine Learning
Learning from Data
Machine Learning
SVM [Support Vector Machines]
SVM Understanding the math-Series
Deep Learning
Deep Learning in PyTorch
Course Series Resources
Stanford Lectures - Statistical Learning
Quora answer to video series getting started
Other Resources
Resources on Statistics
Resources on ML & R
Resources on ML,Statistics
Books to read on ML,AIBugbounty resources2016-09-02T04:22:00+00:002016-09-02T04:22:00+00:00http://rrevanth.github.io/reads/2016/09/bugbounty-resources<h2 id="herei-am-gonna-list-all-the-resources-im-gonna-find-on-bug-bounty-that-would-be-helpful">Here,I am gonna list all the resources i’m gonna find on bug bounty that would be helpful</h2>
<p><a class="embedly-card" href="https://introvertmac.wordpress.com/bug-bounty-resources/">Bug Bounty resources <i class="fa fa-external-link"></i></a></p>
<!--more-->Revanth RevooriHere,I am gonna list all the resources i’m gonna find on bug bounty that would be helpful
Bug Bounty resourcesLearners Digest2016-07-31T06:55:00+00:002016-07-31T06:55:00+00:00http://rrevanth.github.io/reads/2016/07/learners-digest<p><a class="embedly-card" href="https://www.railstutorial.org/book">RubyonRails best getting started <i class="fa fa-external-link"></i></a></p>
<p><a class="embedly-card" href="http://www.scipy-lectures.org/">Python for DataScience (SciPy Lecture Notes) <i class="fa fa-external-link"></i></a>
<!--more--></p>Revanth RevooriRubyonRails best getting started
Python for DataScience (SciPy Lecture Notes)Some More Sticky Links2016-06-14T04:30:00+00:002016-06-14T04:30:00+00:00http://rrevanth.github.io/reads/2016/06/some-more-sticky-links<h3 id="this-is-collection-of-articles-one-must-read-to-be-a-better-programmer">This is collection of articles one must read to be a better programmer</h3>
<p><a class="embedly-card" href="http://danluu.com/programming-blogs/">Modest list of programming blogs <i class="fa fa-external-link"></i></a></p>
<h3 id="machine-learning-for-hackers---whats-more-you-need--d">Machine learning for hackers ;) . What’s more you need :-D</h3>
<p><a class="embedly-card" href="http://autumnai.com/leaf/book/leaf.html">Leaf - Machine Learning for Hackers <i class="fa fa-external-link"></i></a></p>Revanth RevooriThis is collection of articles one must read to be a better programmer
Modest list of programming blogs
Machine learning for hackers ;) . What’s more you need :-D
Leaf - Machine Learning for HackersHacker News Bits2016-04-12T12:43:00+00:002016-04-12T12:43:00+00:00http://rrevanth.github.io/reads/2016/04/hacker-news-bits<h1 id="hackernews-bookmarks---12th-april-2016-">Hackernews bookmarks - 12th April 2016 :</h1>
<h3 id="keras-deep-learning-library-for-theano-and-tensorflow">Keras: Deep Learning library for Theano and TensorFlow</h3>
<p><a class="embedly-card" href="http://keras.io/">Keras: Deep Learning library for Theano and TensorFlow <i class="fa fa-external-link"></i></a></p>
<h3 id="embedding-lua-in-the-web">Embedding Lua in the Web</h3>
<p><a class="embedly-card" href="http://starlight.paulcuth.me.uk/docs/embedding-lua-in-the-web">Embedding Lua in the Web <i class="fa fa-external-link"></i></a></p>
<h3 id="writing-an-os-in-rust">Writing an OS in Rust</h3>
<p><a class="embedly-card" href="http://os.phil-opp.com/">Writing an OS in Rust <i class="fa fa-external-link"></i></a></p>
<h3 id="statistics-for-software">Statistics for Software</h3>
<p><a class="embedly-card" href="https://www.paypal-engineering.com/2016/04/11/statistics-for-software/">Statistics for Software <i class="fa fa-external-link"></i></a></p>
<h3 id="free-book-on-deep-learning">Free Book on Deep Learning</h3>
<p><a class="embedly-card" href="http://www.deeplearningbook.org/">Free Book on Deep Learning <i class="fa fa-external-link"></i></a></p>
<h3 id="getting-started-with-f">Getting started with F#</h3>
<p><a class="embedly-card" href="http://jj09.net/getting-started-with-fsharp/">Getting started with F# <i class="fa fa-external-link"></i></a></p>
<!--more-->Revanth RevooriHackernews bookmarks - 12th April 2016 :
Keras: Deep Learning library for Theano and TensorFlow
Keras: Deep Learning library for Theano and TensorFlow
Embedding Lua in the Web
Embedding Lua in the Web
Writing an OS in Rust
Writing an OS in Rust
Statistics for Software
Statistics for Software
Free Book on Deep Learning
Free Book on Deep Learning
Getting started with F#
Getting started with F#References - C++2016-04-12T12:32:00+00:002016-04-12T12:32:00+00:00http://rrevanth.github.io/reads/2016/04/references-c<p>Some reads and references for C++ :</p>
<h3 id="bloom-filters-in-c">Bloom Filters in C++</h3>
<p><a class="embedly-card" href="http://blog.michaelschmatz.com/2016/04/11/how-to-write-a-bloom-filter-cpp/">How to write a Bloom filter in C++ <i class="fa fa-external-link"></i></a></p>
<h3 id="jit-for-c">JIT for C++</h3>
<p><a class="embedly-card" href="http://www.jyt.io/">Jyt is a just-in-time compiler for C++ <i class="fa fa-external-link"></i></a></p>
<h3 id="32bit-integer-compression-algorithms-in-c">32bit integer compression algorithms in C++</h3>
<p><a class="embedly-card" href="https://upscaledb.com/0012-32bit-integer-compression-algorithms-part2.html">32bit integer compression algorithms <i class="fa fa-external-link"></i></a></p>
<!--more-->Revanth RevooriSome reads and references for C++ :
Bloom Filters in C++
How to write a Bloom filter in C++
JIT for C++
Jyt is a just-in-time compiler for C++
32bit integer compression algorithms in C++
32bit integer compression algorithmsML-Stciky Links2016-03-23T02:03:00+00:002016-03-23T02:03:00+00:00http://rrevanth.github.io/reads/2016/03/ml-theory<p>ML references</p>
<p>Machine Learning in theory :</p>
<p><a class="embedly-card" href="http://www.innoarchitech.com/machine-learning-an-in-depth-non-technical-guide">Machine Learning: An In-Depth, Non-Technical Guide
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<p><a class="embedly-card" href="https://ml.berkeley.edu/blog/">Machine Learning - Berkeley Blog
<i class="fa fa-external-link"></i></a></p>
<p><a class="embedly-card" href="http://yerevann.com/a-guide-to-deep-learning/">A Guide to Deep Learning
<i class="fa fa-external-link"></i></a></p>
<p><a class="embedly-card" href="http://www.r2d3.us/visual-intro-to-machine-learning-part-1/">A Visual Introduction to Machine Learning
<i class="fa fa-external-link"></i></a></p>
<p><a class="embedly-card" href="http://dk-techlogic.blogspot.com/2012/05/best-machine-learning-resources.html">Some more links
<i class="fa fa-external-link"></i></a></p>
<p><!--more--></p>Revanth RevooriML references
Machine Learning in theory :
Machine Learning: An In-Depth, Non-Technical Guide
Machine Learning - Berkeley Blog
A Guide to Deep Learning
A Visual Introduction to Machine Learning
Some more linksInterface Architecture comparison2016-03-22T16:08:00+00:002016-03-22T16:08:00+00:00http://rrevanth.github.io/reads/2016/03/interface-architecture-comparison<p>This post differentiates different interface languages and their architectures :</p>
<p><a class="embedly-card" href="http://staltz.com/unidirectional-user-interface-architectures.html">UNIDIRECTIONAL USER INTERFACE ARCHITECTURES
<i class="fa fa-external-link"></i></a>
<!--more--></p>Revanth RevooriThis post differentiates different interface languages and their architectures :
UNIDIRECTIONAL USER INTERFACE ARCHITECTURESPlace to programs2016-03-01T05:19:00+00:002016-03-01T05:19:00+00:00http://rrevanth.github.io/reads/2016/03/place-to-programs<p>Some places to practice for simple problems for grasping patterns in a language</p>
<p><a class="embedly-card" href="https://projecteuler.net/problem=1">Project Euler <i class="fa fa-external-link"></i></a></p>
<p><a class="embedly-card" href="http://adventofcode.com/">Advent of Code <i class="fa fa-external-link"></i></a></p>
<p><a class="embedly-card" href="http://exercism.io/">Exercism <i class="fa fa-external-link"></i></a>
<!--more--></p>Revanth RevooriSome places to practice for simple problems for grasping patterns in a language
Project Euler
Advent of Code
ExercismElixometer - Metrics for Elixr2016-03-01T03:48:00+00:002016-03-01T03:48:00+00:00http://rrevanth.github.io/reads/2016/03/elixometer-metrics-for-elixr<p>Elixometer is a metric collector for elixir applications which collects info from various part of the applications and displays nice graphical view of performance.</p>
<p>This tutorial explains everything pretty much and pretty well</p>
<p><a class="embedly-card" href="https://alexgaribay.com/2016/02/27/using-elixometer-with-phoenix/">Using Elixometer With Phoenix <i class="fa fa-external-link"></i></a>
<!--more--></p>Revanth RevooriElixometer is a metric collector for elixir applications which collects info from various part of the applications and displays nice graphical view of performance.
This tutorial explains everything pretty much and pretty well
Using Elixometer With Phoenix