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Showing posts from February, 2017

Top 5 SEO powerful books terrific boost for Publisher

#Best books to boost your content: 
One : How to build social Media strategy - Have you been staring at a blank slate without any inspiration for your social media marketing? Do you struggle to find time and keep up with a consistent social media schedule? If you’ve answered yes to any of these questions, then you’ve come to the right place. This actionable book will help you get organized as you build a regular schedule of relevant, engaging content that will build your social media following.Maybe you're a marketer, a social media manager, or a blogger who wants to cut out the noise by reading one book that will show you how to make the most of your time. You no longer have to wonder where your time is going! As the content marketers at CoSchedule, we’ve personally used every piece of advice in this book. It’s helped us get around 60K followers across our social platforms—and you can experience the same success. Read more.

Two: SEO -2017 - No matter your background, SEO 2017 will …

The best Multi purpose Language Python, why it is so useful

I have recently started learning Python. During my learning time my friends have asked since you are interested in analytics why you need to learn Python. I explained below reasons. This is one of the powerful languages after Java.
Python is similar to many programming languages that people generally know about: Python is very similar to JavaScript, Ruby, and PHP in many respects. Most programmers have a working knowledge of these programming languages and this makes it easier for programmers to learn Python. The basic features of these languages such as the use of arrays, anonymous functions etc., are also present in Python. Python has very good machine learning libraries: The variety of machine learning libraries that are available in Python is large. One can choose between Scikitlearn, Keras, Theano and Tensorflow. Many neural network libraries such as Keras, Theano etc., are exclusively available in Python. So, if you want to do cutting edge machine learning work, you must know Py…

The best 5 R Language Basics for Data analytics real time

In the early days, a key feature of R was that its syntax is very similar to S, making it easy for S-PLUS users to switch over.While the R’s syntaxis nearly identical to that of S’s, R’s semantics,while superficially similar to S, are quite different.

In fact, R is technically much closer to the Scheme language than it is to the original S language when it comes to how R works under the hood.Today R runs on almost any standard computing platform and operating system. Its open source nature means that anyone is free to adapt the software to whatever platform they choose.
Indeed, R has been reported to be running on modern tablets, phones, PDAs, and game consoles. One nice feature that R shares with many popular open source projects is frequent releases. These days there is a major annual release, typically in October, where major new features are incorporated and released to the public. Throughout the year, smaller-scale bugfix releases will be made as needed. 
Releases -The frequent r…