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

Popular posts from this blog

Introduction to Glowworm Optimization Algorithm

Overview of the Glow Worm Algorithm Explanation of the original Glow Worm Algorithm  The Hybrid Glow Worm Algorithm is an important algorithm to study and understand because of its ability to effectively solve complex optimization problems. By combining the strengths of different algorithms, it offers a flexible and adaptable solution approach that can be applied to various domains. Understanding this algorithm can help researchers and practitioners in developing efficient and effective optimization strategies for their specific problem instances.  The original Glow Worm Algorithm is a swarm intelligence-based optimization algorithm inspired by the behavior of glow worms in nature. It involves a population of virtual glow worms that interact with each other and their environment to find optimal solutions.  The algorithm uses a combination of local and global search strategies, allowing the glow worms to explore and exploit the search space effectively. Additionally, the algorithm incor

Five new ideas for launching agro-start ups

View the image  in original size Agricultural output controls the GDP of a Country. Especially the developing countries largely depend on its agriculture productivity to enhance their socio-economy and livelihood of the local population. Sustaining the profitability of cultivators is one of the major objectives of any government. Water and energy which are the two drivers of agriculture need to be optimally utilized. The uncontrolled and uneven distribution of natural resources, especially water resources, often compromises the agricultural productivity of the water-stressed regions of a country which in turn affects the national GDP of that country.  So optimal management of water and also energy resources in an agricultural location can ensure stability and incrementation of GDP of the country. That is why some apps can be developed and offered commercially to the farmers which can help in not only maximization of agricultural productivity but also it will help in the smart managemen