{"product_id":"industry-4-0-ai-and-data-science-research-trends-and-challenges","title":"Industry 4.0, AI, and Data Science: Research Trends and Challenges","description":"\u003cp\u003e\u003c\/p\u003e\u003cblockquote\u003e\n\u003cbr\u003eThis book provides an overview of Data Science and Artificial Learning Techniques based on Industry 4.0, highlighting their importance in industrial and academic research. It covers different theoretical and practical aspects, research trends, challenges, and potential for integration of advanced AI algorithms. It also addresses security issues and offers case studies with working models. The book is suitable for undergraduates, postgraduates, academics, researchers, and industry professionals. \u003c\/blockquote\u003e\u003cp\u003e\n                                                            \u003cstrong\u003eFormat\u003c\/strong\u003e: Hardback\u003cbr\u003e\n                              \u003cstrong\u003eLength\u003c\/strong\u003e: 262 pages\u003cbr\u003e\n                              \u003cstrong\u003ePublication date\u003c\/strong\u003e: 21 July 2021\u003cbr\u003e\n                              \u003cstrong\u003ePublisher\u003c\/strong\u003e: Taylor \u0026amp; Francis Ltd\u003cbr\u003e\n                          \u003c\/p\u003e \u003cp\u003e\u003cbr\u003eThe aim of this comprehensive book is to provide deep insights into Data Science and Artificial Learning Techniques, particularly in the context of Industry 4.0. It effectively conveys how Machine Learning and Data Science have become indispensable components of industrial and academic research across diverse fields, ranging from healthcare to social networking and beyond. The book showcases a wide array of hybrid models for Data Science, Al, and Machine Learning, highlighting their applications in various domains. It delves into diverse theoretical and practical aspects, emphasizing the development of new systems. Additionally, the book explores the emerging trends, challenges, and future prospects of AI in Data Science, while also examining the potential for integrating advanced AI algorithms. It addresses the complexities of Data Science for Industry 4.0, addresses security concerns, incorporates qualitative and quantitative research methodologies, and presents case studies accompanied by working models. Furthermore, this book serves as an accessible introduction to AI and Data Science algorithms for readers without a strong mathematical background.\u003cbr\u003e\u003cbr\u003eThis book is of immense value to undergraduates, postgraduates, academics, researchers, and industry professionals alike. It serves as a valuable guide, offering comprehensive coverage of these critical topics and empowering readers to stay at the forefront of the rapidly evolving field of Data Science and Artificial Learning.\u003c\/p\u003e\u003cp\u003e\n                            \u003cstrong\u003eWeight\u003c\/strong\u003e: 562g\n                            \u003cbr\u003e\u003cstrong\u003eDimension\u003c\/strong\u003e: 160 x 242 x 22 (mm)\n                            \u003cbr\u003e\u003cstrong\u003eISBN-13\u003c\/strong\u003e: 9780367562854\n                            \n                          \u003c\/p\u003e","brand":"Shulph Ink","offers":[{"title":"Hardback","offer_id":44104557199610,"sku":"9780367562854","price":147.56,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0522\/4297\/2845\/products\/3ce76ec1308449d8c280c8818aa34eb1.jpg?v=1633660425","url":"https:\/\/shulphink.com\/products\/industry-4-0-ai-and-data-science-research-trends-and-challenges","provider":"Shulph Ink","version":"1.0","type":"link"}