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Backup Skills For A Tough Job Market

RRP $39.99

Click on the Google Preview image above to read some pages of this book!

Use the strategies here to learn the shortcut to jobs for almost nothing and grow within companies. These skills are obtainable and within reach; they can create a second income or help you find your niche. Most importantly, when the inevitable job loss occurs, they are the backup needed to stay floating until you get across.

One skill will not cut it in this shaky worldwide economy. You can list your skills and languages as acronyms to help boost your creative mind. Look within and find your own personal interests.

Knowing some of these important skills gives you leverage-a key to being more marketable and operating easily within multiple fields.

Author Davi Sal's path was full of temptation as a result of acquiring these additional skills. You become a versatile and competitive person, creating mobility and more choices for yourself in life.

Get ready to discover ton of information about other hidden or rare positions in companies that pay very good salary without the requirements of high education.

Best of all, they are your backup plan to help stay in demand during tough time and bad economy.

Whether or not you have a degree, there is still hope to find a shortcut to jobs.


Hydrological Data Driven Modelling

RRP $354.99

Click on the Google Preview image above to read some pages of this book!

This book explores a new realm in data-based modeling with applications to hydrology. Pursuing a case study approach, it presents a rigorous evaluation of state-of-the-art input selection methods on the basis of detailed and comprehensive experimentation and comparative studies that employ emerging hybrid techniques for modeling and analysis. Advanced computing offers a range of new options for hydrologic modeling with the help of mathematical and data-based approaches like wavelets, neural networks, fuzzy logic, and support vector machines. Recently machine learning/artificial intelligence techniques have come to be used for time series modeling. However, though initial studies have shown this approach to be effective, there are still concerns about their accuracy and ability to make predictions on a selected input space.



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