Free computers and the internet Kindle books for 26 Sep 18

How To Make Money Blogging: The #1 Advanced Guide to Earn $250+ For Day in 90 Days with Search Engine Optimization Monetizable Techniques (Zero-Cost Online Marketing Strategy)

by Mark Gray

So many bloggers, marketers, and entrepreneur don’t really realize how a blog can become a goldmine.

They think to blog as a useless and outdated activity to do because they don’t comprise that a blog is one of the most available and profitable Sales Tool, and it will remain one of the tops for many years.

This dumb belief for which blogging is surpassed is made by thinking blogs like only-text platforms, and it is really stupid. In a blog is possible to integrate all the other performing platforms and group them in a unique and high-marketable space.

Of course, this is possible only with the right information and techniques.
This updated manual is the result of more than 10 years of experience.

Before to be an SEO expert and a writer, Mark Gray is a successful online marketer.
So his main focus is obviously about making money exploiting organic and paid traffic.

The goal of this practical manual is to help the students make a structured blog and finally understand HOW TO MONETIZE IT.

What this manual DOESN’T include:

– The evolution of Blogging – Because no one cares and it is easily findable online.
– How to make a blog in an in-depth way – Because this is not a geek book.
– Not monetizable techniques – Because my students want to make more money and dumb theories do not help.
– Not profitable methods – Because my students do not want to lose their time and money.
– Pointless information.
– Outdated strategies.
– Stupid and useless tips.
Everything else does not really work.

The really worth approaches are not so much. And study a giant, incomprehensible and full of useless advice volume is not what you need.

This smart manual will provide you with all the really practicable steps to get your blog profitable. Before to fight versus your competitors, you are fighting versus algorithms and it is the critical point of all the discussion.

If you do what Google, Facebook, and Youtube want to see you will be rewarded.
Obviously, If not you do not, and indeed you could be penalized.

What this manual includes:

Q&A – To get more awareness and to understand the various terms and acronyms means.
– How to choose the Right Niche – Based on sellable products.
– How to create an High-Impact Brand – Communicate coherency.
– How to really Monetize Blogs – Which path you want to take.
– How to build a Marketing Ecosystem – Built on your blog.
– How to start a Profitable Blog – And how to improve it.
– How to improve SEO Ranking – Be more Google friendly with five smart techniques.
– How to exploit Facebook Integration – Create engagement and get boosted.

Extra: Understand how to monetize the traffic in the right way and have the highest earnings as possible. (What you have to sell and how)

In addition to this first section of the manual, the students will be allowed to access the most advanced and applicable online marketing techniques to get the highest quality customers as possible.

Advanced section:

– Provide value with Content Marketing – And attract customers.
– Understand the potentiality of Direct Marketing – Generate profiled leads.
– Learn why to do Email Marketing – Follow up your prospects.
– Setup the Autoresponder – Create your lists and make profitable campaigns.
– Make various Advanced Funnels – Educate and persuade your prospects.
– Sell for High Ticket – Maximize the recurring earnings.

â??â?? Buy the Paperback version of this book, and get the Kindle eBook version included for FREE â??â??



Artificial Intelligence: At What Cost Is Our Love Of Technology Shaping Our Future As Machine Learning Becomes More Advanced

by Tony Sayers

The rise of Artificial Technology has seen a total change in the way we live our lives, interact, and function in the World. It has infiltrated our reality at every given turn and there appears to be no turning back now.

Data science, advanced algorithms, and pattern recognition is now becoming so advanced, but what are the consequences for this progress and has anybody stopped to think about the potential consequences to our innate humanness and spirit?

There can be no doubt that artificial intelligence and technology has provided us with a lot more ease and convenience in many areas of life, but where does that leave the human workforce as more and more industries start to become automated? With machines learning from each other now and becoming intelligent in their own right, it seems a good idea to take stock.

We have entered into a love affair with technology, dazzled by what it can do. But have we become blinded in our lust for yet more highly advanced robots? At times it can feel like we’re living in a science fiction movie, with many Hollywood hits about AI seemingly getting closer to the mark by the day!

We are so much more connected in many ways with technology, but where does this leave our spiritual and soul connections on a heart to heart basis? What about our connection to Nature and what is truly real? How will the future be for our children and grandchildren in this technology based World? Important questions to ask as the rise of the robots is clearly upon us.



Clinical Text Mining: Secondary Use of Electronic Patient Records

by Hercules Dalianis

This open access book describes the results of natural language processing and machine learning methods applied to clinical text from electronic patient records.
It is divided into twelve chapters. Chapters 1-4 discuss the history and background of the original paper-based patient records, their purpose, and how they are written and structured. These initial chapters do not require any technical or medical background knowledge. The remaining eight chapters are more technical in nature and describe various medical classifications and terminologies such as ICD diagnosis codes, SNOMED CT, MeSH, UMLS, and ATC. Chapters 5-10 cover basic tools for natural language processing and information retrieval, and how to apply them to clinical text. The difference between rule-based and machine learning-based methods, as well as between supervised and unsupervised machine learning methods, are also explained. Next, ethical concerns regarding the use of sensitive patient records for research purposes are discussed, including methods for de-identifying electronic patient records and safely storing patient records. The book’s closing chapters present a number of applications in clinical text mining and summarise the lessons learned from the previous chapters.

The book provides a comprehensive overview of technical issues arising in clinical text mining, and offers a valuable guide for advanced students in health informatics, computational linguistics, and information retrieval, and for researchers entering these fields.



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