Znanost o podacima područje je proučavanja koje uključuje izvlačenje uvida iz ogromnih količina podataka upotrebom različitih znanstvenih metoda, algoritama i procesa. Pomaže vam otkriti skrivene uzorke iz sirovih podataka. Data Science se pojavio zbog evolucije matematičke statistike, analize podataka i velikih podataka.
Evo odabranog popisa najboljih 17 knjiga o znanosti o znanosti koje bi trebale biti dio bilo koje biblioteke za početnike do naprednih učenika u znanosti o znanosti.
1) Znanost o podacima iz nule: prvi principi s Pythonom
Data Science from Scratch knjiga je koju je napisao Joel Gurus. Ova vam knjiga pomaže naučiti matematiku i statistiku koja je srž znanosti o podacima. Također ćete naučiti vještine hakiranja koje su vam potrebne da biste započeli posao kao znanstvenik podataka.
Knjige uključuju teme poput implementacije k-najbližih susjeda, naivnog Bayesa, linearne i logističke regresije, stabla odlučivanja i modela klasterizacije. Također ćete moći istraživati obradu prirodnog jezika, analizu mreže itd.
Na Amazonu provjerite najnovije cijene i korisničke recenzije2) Znanost podataka za lutke
Data Science For Dummies knjiga je koju je napisala Lillian Pierson. Ova je knjiga idealna za IT stručnjake i studente koji žele brzi priručnik koji pokriva sva područja ekspanzivnog prostora znanosti o podacima.
Knjiga pokriva teme poput velikih podataka, znanosti o podacima i inženjerstva podataka te kako se sva ta područja kombiniraju i koja nude veliku vrijednost. Također ćete naučiti o tehnologijama, programskim jezicima i matematičkim metodama.
Na Amazonu provjerite najnovije cijene i korisničke recenzije3) Veliki podaci: revolucija koja će promijeniti način na koji živimo, radimo i razmišljamo
Veliki podaci knjiga je koju su napisali Viktor Mayer-Schonberger i Kenneth Cukier. Knjiga govori o optimističnom i praktičnom pogledu na revoluciju velikih podataka. Autori ove knjige također govore o tome kako tehnologija velikih podataka može promijeniti naš život i što možemo učiniti da se zaštitimo od opasnosti.
Na Amazonu provjerite najnovije cijene i korisničke recenzije4) Pripovijedanje s podacima: Vodič za vizualizaciju podataka za poslovne profesionalce
Pričanje priča s podacima knjiga je koju je napisao Cole Nussbaumer Knaflic. U ovoj ćete knjizi naučiti osnove vizualizacije podataka i kako učinkovito komunicirati s podacima. Lekcije u ovoj knjizi uglavnom su teorijske i nude brojne primjere iz stvarnog svijeta spremne za trenutnu primjenu na sljedećem grafikonu ili prezentaciji.
Ova knjiga čitatelja također podučava o tome kako mogu prijeći predvidljive alate kako bi došli do korijena vaših podataka. Sadrži i temu o tome kako upotrijebiti svoje podatke za stvaranje zanimljive i informativne priče.
Na Amazonu provjerite najnovije cijene i korisničke recenzije5) Dizajniranje aplikacija koje zahtijevaju podatke
Dizajn aplikacija koje intenzivno koriste podatke knjiga je koju je napisao Martin Kleppmann. Ova knjiga pomaže naučiti blagodati i nedostatke različitih tehnologija za obradu i pohranu podataka. Ova knjiga također pomaže softverskim inženjerima i arhitektima da nauče kako u potpunosti iskoristiti podatke u modernim aplikacijama.
Knjiga vam pomaže u donošenju utemeljenih odluka utvrđivanjem snaga i slabosti različitih alata i kretanjem u razmjenama oko dosljednosti, skalabilnosti, tolerancije na kvarove i složenosti.
Na Amazonu provjerite najnovije cijene i korisničke recenzije6) Praktična statistika za znanstvenike podataka: 50 osnovnih pojmova
Praktična statistika za znanstvenike podataka knjiga je koju su napisali Peter Bruce (autor), Andrew Bruce. Ova knjiga objašnjava kako primijeniti razne statističke metode na znanost podataka i daje vam savjete o tome što je važno, a što nije.
Ova je knjiga jednostavna za uporabu priručnik za znanost o podacima ako ste upoznati s programiranjem R i ako imate neko znanje iz statistike.
Na Amazonu provjerite najnovije cijene i korisničke recenzije7) Znanost podataka i analitika velikih podataka: otkrivanje, analiziranje, vizualizacija i predstavljanje podataka
Data Science i Big Data Analytics knjiga je koju je izdala obrazovna služba EMC. Ova knjiga pokriva širinu aktivnosti i metoda i alata koje znanstvenici podataka koriste. Knjiga se fokusira na koncepte, principe i praktične primjene.
It applies to any industry and technology environment, and the learning. It is supported and explained with examples that you can replicate using open-source software.
Check Latest Price and User Reviews on Amazon8) Data Science for Business: What You Need to Know about Data Mining and Data-Analytic Thinking
Data Science for business is a book written by known data science experts Foster Provost and Tom Fawcett. This Data science study book introduces the fundamental principles of data science. This study book helps you understand the many data-mining techniques in use today.
You'll also learn how to improve communication between business stakeholders and data scientists. It also helps you understand the data-analytical process and how data science methods able to support business decision-making.
Check Latest Price and User Reviews on Amazon9) Head First Statistics: A Brain-Friendly Guide
Head First Statistics is a book written by Dawn Griffiths. The writer brings this typically dry subject to life, teaching you everything you want and need to know about statistics through a material that is full of puzzles, stories, quizzes, and real-world examples.This book helps you to learn statistics so you can understand key points and use them. The book also covers how to present data visually with charts and plots. Lastly, the book also teaches how you can calculate probability and expectation, etc.
Check Latest Price and User Reviews on Amazon10) R for data science: Import, Tidy, Transform, Visualize, And Model Data
R for Data Science is a book written by Hadley Wickham. It is designed to get you doing data science as quickly as possible.
The book guides you through the steps of importing, exploring, and modeling your data and communicating the results.
In this book, you will get a complete, big-picture understanding of the data science cycle. Apart from the basic tools, you need to manage the details. Each section of this book is paired with exercises to help you practice what you've learned along the way.
Check Latest Price and User Reviews on Amazon11) Hands-On Machine Learning
Hands-On Machine Learning is a Data Science book written by Aurélien Géron. The book helps you learn the concepts and tools for building intelligent systems. You'll learn also learn various techniques, like simple linear regression and progressing to deep neural networks. Each chapter of this book helps you apply what you've learned; all you need is programming experience.
Check Latest Price and User Reviews on Amazon12) Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython
Python for Data Analysis is a book written by Wes McKinney. This reference book is full of case studies showing how to solve many commonly faced data analysis problems. In this Data science book, you will learn the latest versions of pandas, NumPy, IPython, and Jupyter.
This reference book is a practical, modern introduction to data science tools in Python. It's an ideal book for analysts new to Python and Python programmers.
Check Latest Price and User Reviews on Amazon13) Introduction to Machine Learning with Python: A Guide for Data Scientists
Machine learning with Python is a book written by Andreas C. Müller (Author), Sarah Guido (Author). In this book, you will learn the steps necessary to create a successful machine-learning application with Python and the sci-kit-learn library.
In this book, you will learn the steps necessary to create a successful machine-learning application with Python and the scikit-learn library. This study material also introduces you to NumPy and matplotlib libraries.
Check Latest Price and User Reviews on Amazon14) Practical Data Science with R
Practical Data Science with R is a book written by Nina Zumel (Author), John Mount (Author), and Jim Porzak. The book explains basic principles without lengthy theoretical details. You will provide the real use cases you'll face as you collect, curate, and analyze the data.
You'll able to apply the R programming language and statistical analysis techniques. The book carefully explained examples based on marketing, BI, and decision support system. The book also covers topic like how to design experiments which is build on predictive models.
Check Latest Price and User Reviews on Amazon15) Thinking with Data
Thinking with data is a book written by Max Sharon. It helps you learn techniques for turning data into knowledge you can use. In this book, you will discover a framework for defining your project. It also includes data you want to collect and how you intend to approach and analyze its results.
This Data Science book also helps you to explore data-specific patterns of reasoning and learn how to build more useful arguments.
Check Latest Price and User Reviews on Amazon16) The Data Science Handbook
The Data Science Handbook is written by Field Cady. It is an ideal reference book for data analysis methodology and big data software tools. The book is ideal for people who want to practice data science but lack the required skill sets.
This Data science book is also an ideal study material for researchers as well as entry-level graduate students. They require to learn real-world analytics and expand their skill set.
Check Latest Price and User Reviews on Amazon17) An Introduction to Statistical Learning
An Introduction to Statistical Learning is a book written by a group of authors like Gareth James, Daniela Witten, Trevor Hastie, Robert Tibshira. This Data Science book presents useful modeling and prediction techniques, along with relevant applications.
The book offers color graphics and real-world examples used to illustrate the methods presented. Each chapter of this book contains a tutorial on implementing the analyses and methods presented in the R language.
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