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Data Scientist: The Definitive Guide to Becoming a Data Scientist (English Edition) par [Voulgaris, Zacharias]
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Data Scientist: The Definitive Guide to Becoming a Data Scientist (English Edition) Format Kindle

5.0 étoiles sur 5 1 commentaire client

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Descriptions du produit

Présentation de l'éditeur

As our society transforms into a data-driven one, the role of the Data Scientist is becoming more and more important. If you want to be on the leading edge of what is sure to become a major profession in the not-too-distant future, this book can show you how.

Each chapter is filled with practical information that will help you reap the fruits of big data and become a successful Data Scientist:
  • Learn what big data is and how it differs from traditional data through its main characteristics: volume, variety, velocity, and veracity.
  • Explore the different types of Data Scientists and the skillset each one has.
  • Dig into what the role of the Data Scientist requires in terms of the relevant mindset, technical skills, experience, and how the Data Scientist connects with other people.
  • Be a Data Scientist for a day, examining the problems you may encounter and how you tackle them, what programs you use, and how you expand your knowledge and know-how.
  • See how you can become a Data Scientist, based on where you are starting from: a programming, machine learning, or data-related background.
  • Follow step-by-step through the process of landing a Data Scientist job: where you need to look, how you would present yourself to a potential employer, and what it takes to follow a freelancer path.
  • Read the case studies of experienced, senior-level Data Scientists, in an attempt to get a better perspective of what this role is, in practice.
At the end of the book, there is a glossary of the most important terms that have been introduced, as well as three appendices - a list of useful sites, some relevant articles on the web, and a list of offline resources for further reading.

Biographie de l'auteur

Dr. Zacharias Voulgaris was born and raised in Greece. Upon completing a 5-year Engineering degree at the Technical University of Crete, he enrolled in the City University of London for a Masters course in Information Systems and Technology. Afterwards, he pursued a PhD in Birkbeck College (University of London), under the joint supervision of Prof. G. Magoulas and Prof. B. Mirkin, in the field of Machine Learning. Upon receiving his doctorate, he was recruited by the Georgia Institute of Technology as a research fellow. Since January 2013 he has been working as a Data Scientist.

Détails sur le produit

  • Format : Format Kindle
  • Taille du fichier : 5113 KB
  • Nombre de pages de l'édition imprimée : 280 pages
  • Editeur : Technics Publications; Édition : First (9 mai 2014)
  • Vendu par : Amazon Media EU S.à r.l.
  • Langue : Anglais
  • ASIN: B00K98LDAE
  • Synthèse vocale : Activée
  • X-Ray :
  • Word Wise: Non activé
  • Composition améliorée: Non activé
  • Moyenne des commentaires client : 5.0 étoiles sur 5 1 commentaire client
  • Classement des meilleures ventes d'Amazon: n°124.645 dans la Boutique Kindle (Voir le Top 100 dans la Boutique Kindle)
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Format: Broché Achat vérifié
If you want to become a data scientist I do recommand it as it is simple of access and clearly written.
Then the tittle is perfectly exact "The Definitive Guide to Becoming a Data Scientist"
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Commentaires client les plus utiles sur (beta) 4.2 étoiles sur 5 18 commentaires
13 internautes sur 13 ont trouvé ce commentaire utile 
3.0 étoiles sur 5 Know everything about Stats/Computer sciences, you become a data scientist 14 octobre 2014
Par Sathya Narayanan - Publié sur
Format: Format Kindle Achat vérifié
Seems to be a material that lists whatever is related to computer science and mathematics and asks you to be a master of it. Only then you will be a data scientist. I can even see recommendations to get a PhD and all that... Not the book if you want to get started on data science. It will discourage you and make you feel intimidated.
25 internautes sur 29 ont trouvé ce commentaire utile 
2.0 étoiles sur 5 1980s style condescension 25 août 2014
Par Elf Awry - Publié sur
Format: Broché
This is very much a 'How to become a computer systems professional' type book - despite profiteering on the recent Data Scientist craze, it feels very 1980s. There's little curiosity or dedication to excellence, and instead there's a dry as bones description of how to make a career change. Also, data scientists are referred to as 'he' throughout. Couldn't make it through - there are much better options on the market.
12 internautes sur 13 ont trouvé ce commentaire utile 
1.0 étoiles sur 5 A book written by a newbie to newbies, then ... 3 décembre 2014
Par XU KUN - Publié sur
Format: Broché Achat vérifié
A book written by a newbie to newbies, then how can you expect from it? The author started to work as a data scientist from January 2013, though he has got a PhD degree. After spent an afternoon finish it, I learnt no new things. All things you can expect can be obtained from the table of contents.
3 internautes sur 3 ont trouvé ce commentaire utile 
5.0 étoiles sur 5 Interested in Data Science? Start Here 18 juin 2015
Par Heynong Man - Publié sur
Format: Broché
A wonderful "Couch-to-Data Scientist" book! The author provides a concrete path to understanding the career space, how to break in, and sustain future success and fun in this exciting field.
1 internautes sur 1 ont trouvé ce commentaire utile 
4.0 étoiles sur 5 ... the data Science field coming from other related areas like software development 4 mai 2015
Par Thom Silv - Publié sur
Format: Format Kindle Achat vérifié
If you have the intention to enter in the data Science field coming from other related areas like software development, machine learning, statistics, AI, etc, then this book contains a set of knowledge that will guide you in the right direction. The book is focused in 3 main topics: what is data science, what you need to learn to become one and career advices that will guide you to succeed in your goals. This book would not bring anything new to whom is very active in the field.
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