Foundations of Data Science for Engineering Problem Solving is popular PDF and ePub book, written by Parikshit Narendra Mahalle in 2021-08-21, it is a fantastic choice for those who relish reading online the Technology & Engineering genre. Let's immerse ourselves in this engaging Technology & Engineering book by exploring the summary and details provided below. Remember, Foundations of Data Science for Engineering Problem Solving can be Read Online from any device for your convenience.
Foundations of Data Science for Engineering Problem Solving Book PDF Summary
This book is one-stop shop which offers essential information one must know and can implement in real-time business expansions to solve engineering problems in various disciplines. It will also help us to make future predictions and decisions using AI algorithms for engineering problems. Machine learning and optimizing techniques provide strong insights into novice users. In the era of big data, there is a need to deal with data science problems in multidisciplinary perspective. In the real world, data comes from various use cases, and there is a need of source specific data science models. Information is drawn from various platforms, channels, and sectors including web-based media, online business locales, medical services studies, and Internet. To understand the trends in the market, data science can take us through various scenarios. It takes help of artificial intelligence and machine learning techniques to design and optimize the algorithms. Big data modelling and visualization techniques of collected data play a vital role in the field of data science. This book targets the researchers from areas of artificial intelligence, machine learning, data science and big data analytics to look for new techniques in business analytics and applications of artificial intelligence in recent businesses.
Detail Book of Foundations of Data Science for Engineering Problem Solving PDF
- Author : Parikshit Narendra Mahalle
- Release : 21 August 2021
- Publisher : Springer Nature
- ISBN : 9789811651601
- Genre : Technology & Engineering
- Total Page : 125 pages
- Language : English
- PDF File Size : 10,5 Mb
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