Författare

Dr. Ranja Sarkar

1 verkEngelska

Dr. Ranja Sarkar är en uppskattad författare inom Naturvetenskap och teknik med totalt 1 bok tillgängliga på Bokkollen, utgivna hos Packt Publishing Limited.

Bland verken finns Handbook of Mathematical Models with Python, som toppar listan över Dr. Ranja Sarkars populäraste böcker. Verken spänner över naturvetenskap & teknik och tilltalar läsare som uppskattar genren.

På Bokkollen gör vi det enkelt att navigera i Dr. Ranja Sarkars författarskap. Vår databas uppdateras ständigt med nya släpp och format, så oavsett om du söker efter en lättläst pocket för semestern, en lyxig inbunden presentutgåva eller en digital ljudbok för pendlingen, har vi rätt utgåva för dig.

Jämför snabbt och smidigt priser på alla böcker av Dr. Ranja Sarkar hos Sveriges ledande bokhandlare – som Adlibris, Bokus och Akademibokhandeln – och hitta alltid det bästa erbjudandet utan att betala för mycket.

Handbook of Mathematical Models with Python
Mest populär

Handbook of Mathematical Models with Python

Master the art of mathematical modeling through practical examples, use cases, and machine learning techniques Key Features Gain a profound understanding of various mathematical models that can be integrated with machine learning Learn how to implement optimization algorithms to tune machine learning models Build optimal solutions for practical use cases Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionMathematical modeling is the art of transforming a business problem into a well-defined mathematical formulation. Its emphasis on interpretability is particularly crucial when deploying a model to support high-stake decisions in sensitive sectors like pharmaceuticals and healthcare. Through this book, you’ll gain a firm grasp of the foundational mathematics underpinning various machine learning algorithms. Equipped with this knowledge, you can modify algorithms to suit your business problem. Starting with the basic theory and concepts of mathematical modeling, you’ll explore an array of mathematical tools that will empower you to extract insights and understand the data better, which in turn will aid in making optimal, data-driven decisions. The book allows you to explore mathematical optimization and its wide range of applications, and concludes by highlighting the synergetic value derived from blending mathematical models with machine learning. Ultimately, you’ll be able to apply everything you’ve learned to choose the most fitting methodologies for the business problems you encounter.What you will learn Understand core concepts of mathematical models and their relevance in solving problems Explore various approaches to modeling and learning using Python Work with tested mathematical tools to gather meaningful insights Blend mathematical modeling with machine learning to find optimal solutions to business problems Optimize ML models built with business data, apply them to understand their impact on the business, and address critical questions Apply mathematical optimization for data-scarce problems where the objective and constraints are known Who this book is forIf you are a budding data scientist seeking to augment your journey with mathematics, this book is for you. Researchers and R&D scientists will also be able to harness the concepts covered to their full potential. To make the best use of this book, a background in linear algebra, differential equations, basics of statistics, data types, data structures, and numerical algorithms will be useful.

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