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

Internship Opportunity at NIT Agartala - "Game theory meets flood resilience: play smart, protect lives."

This internship offers a unique opportunity to apply game theory to real-world flood resilience , equipping participants with strategic decision-making skills that go beyond traditional hydrological modeling. Interns will: ✅ Gain hands-on experience in stakeholder analysis and strategic modeling. ✅ Develop decision-support frameworks that balance cost, risk, and social feasibility. ✅ Work on case studies to bridge theory with practical flood mitigation strategies. ✅ Enhance interdisciplinary expertise , combining hydrology, economics, and policy dynamics. ✅ Build problem-solving skills that can shape future disaster resilience planning. By the end of the program, interns will have a deeper understanding of flood management complexities and a powerful toolkit for strategic problem-solving —essential for careers in hydroinformatics, environmental policy, and infrastructure planning. 🌊🎲 https://www.facebook.com/share/v/1QK714yR1u/ You may also like : HydroGeek: The newsletter ...

Five indices that you can use along with GIS to identify Drought

Drought can not be defined as Flood. No single definition is available for drought. The beginning and end of drought are difficult to identify.  Drought can be, however, identified through various indicators such as rainfall, snowpack, streamflow, and more, and these indicators can be used to monitor drought. Different scientists and researchers have developed various indices to help determine the onset, severity, and end of droughts. Drought indices are multiparameter and based on long or short duration observation of data for such parameters which help them create a comprehensible big picture. A drought index value is typically a single number that is calculated based on the data of input parameters generally rainfall, snowpack, evapotranspiration, etc., and is interpreted on a scale of abnormally wet, average, and abnormally dry.( Reference ) The video below elaborates the concept : Although drought is very difficult to determine the significance of drought in agriculture, water...

Five examples of Water Collected from Air

Video Link :  https://youtu.be/AVQJCH-6psg Water from Air is a new concept for the conservation of water by adopting a source that is uncommon and renewable. The most abundant source of freshwater is the Earth’s atmosphere. When atmospheric humidity condenses, it falls as rain. This natural process of condensation is replicated by adopting different technologies, which allows it to make water continuously, even in low humidity conditions. Here are the examples : 1) Airowater Dewpoint Smart "The Airowater Dewpoint Smart is one of the smaller units designed to ensure portability. This unit can make up to 20 litres per day in relative humidity and is also equipped to use city water as the input source to deal with a sudden increase in demand!" 2) Rainmaker "Rainmaker’s Air-to-Water units produce drinking water from the air – no other water source is required. " It uses a turbine that forces air through a heat exchanger, where the air is cooled and condensation takes pl...