Skip to main content

Five text books on Artificial Intelligence and Artificial Neural Network

Five Most Simple Books to Learn Artificial Intelligence


In recent years, artificial intelligence has been used for various prediction, simulation, and optimization problems, with the majority requiring results with accuracy levels that exceeded expectations. Artificial neural networks serve as the foundation of AI (ANN). In order to learn ANN, this article will provide links to five books that explain the idea of ANN in simple terms for beginners. (Click here for a Surprise(AD)

Neural Networks: An Essential Beginners Guide to Artificial Neural Networks and their Role in Machine Learning and Artificial Intelligence

Authors: Herbert Jones

Price: Rs.205/=(Kindle Edition)

Feedbacks :

Reviewed in India by Rahul Verma on 14 October 2018

“This is just the right guidebook if you are interested in Artificial Neural Networks and want to get better understanding over this networks. I would like to recommend all beginners to read this book because all the things that what I got from this book were easy to understand. It was such a fantastic read & the author of this has done a brilliant job and described all the import point so clearly. One of the best in this segment.”..Click here to read more reviews.

Read the complete article at HydroGeek.

That’s all for this week.

Signing off : @Mrinmoy, the Founding Editor of HydroGeek and I Tell Differently

(Click here for a Surprise(AD)

Some of the links will generate affiliate commissions for HydroGeek that will be donated to NGOs after deducting the cost of web hosting, maintenance, and honorariums.


@Mrinmoy's Page
@data_hydrology , @Merchandiseor @@products_sustainability
Add to Listy
Labels:

Popular posts from this blog

Five project ideas for "Hydroinformatics in Groundwater"

     In recent years, advanced soft computation techniques such as Multi-Criteria Decision Making and Geographical Information Systems have been widely used to solve water resource development problems. Hydroinformatics (Hydro means Hydrus or water, and informatics means information science) is a branch of science concerned with the application of advanced soft computation techniques and information and communication technologies (ICTs) to water-related problems. The following are five hydro informatics project topics that can be applied to groundwater problems. Complete Article at  HydroGeek Thanks, @Mrinmoy's Page @data_hydrology , @Merchandise or @ @products_sustainability Add to Listy /
Read more

Five open source free hydrologic models that you can use to model runoff of micro to macro watersheds

The principal objective of hydrologic models is to forecast the runoff of a surface water body, especially dendritic systems like rivers, streams, etc. The inputs to these models are generally Rainfall/Precipitation, Soil Characteristics, and other Climatic parameters like evapotranspiration, humidity, etc. LULC and geo-morphology are also used as the required input parameters of the hydrologic models. Both input and output of these models are temporally as well as spatially variable. Now the resolution varies with different models. Some models consider all the sub-basins to be a single watershed and determine the output based on the characteristics of this single watershed(lumped).In contrast, some other models will consider the {impact|effect} of each of the sub-basins on the central outflow of the watershed(distributed).In a few models, the entire watershed is divided into grids or units of uniform dimension. However, the accuracy is highest for the models, which considers the {impa
Read more