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181   $ctxt$2rdacontent
182   $cc$2rdamedia
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200 10$aData Science Fundamentals for Python and MongoDB /$fby David Paper
205   $a1st ed. 2018.
210  1$aBerkeley, CA :$cApress :$cImprint: Apress,$d2018.
215   $a1 online resource (XIII, 214 p. 117 illus.) 
311 08$a9781484235966 
311 08$a1484235967 
327   $a1. Introduction -- 2. Monte Carlo Simulation and Density Functions -- 3. Linear Algebra -- 4. Gradient Descent -- 5. Working with Data -- 6. Exploring Data.
330   $aBuild the foundational data science skills necessary to work with and better understand complex data science algorithms. This example-driven book provides complete Python coding examples to complement and clarify data science concepts, and enrich the learning experience. Coding examples include visualizations whenever appropriate. The book is a necessary precursor to applying and implementing machine learning algorithms. The book is self-contained. All of the math, statistics, stochastic, and programming skills required to master the content are covered. In-depth knowledge of object-oriented programming isn?t required because complete examples are provided and explained. Data Science Fundamentals with Python and MongoDB is an excellent starting point for those interested in pursuing a career in data science. Like any science, the fundamentals of data science are a prerequisite to competency. Without proficiency in mathematics, statistics, data manipulation, and coding, the path to success is ?rocky? at best. The coding examples in this book are concise, accurate, and complete, and perfectly complement the data science concepts introduced. What You'll Learn: Prepare for a career in data science Work with complex data structures in Python Simulate with Monte Carlo and Stochastic algorithms Apply linear algebra using vectors and matrices Utilize complex algorithms such as gradient descent and principal component analysis Wrangle, cleanse, visualize, and problem solve with data Use MongoDB and JSON to work with data.
606   $aBig data
606   $aPython (Computer program language)
606   $aBig Data$3https://scigraph.springernature.com/ontologies/product-market-codes/I29120
606   $aPython$3https://scigraph.springernature.com/ontologies/product-market-codes/I29080
615  0$aBig data.
615  0$aPython (Computer program language)
615 14$aBig Data.
615 24$aPython.
676   $a005.757
700   $aPaper$b David$4aut$4http://id.loc.gov/vocabulary/relators/aut$0995402
801  0$bUMI
801  1$bUMI
906   $aBOOK
912   $a9910300745103321
996   $aData Science Fundamentals for Python and MongoDB$92533264
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