summary Einführung in Data Science

summary Ó Einführung in Data Science characters ☆ eBook, ePUB or Kindle PDF ¸ Joel Grus Joel Grus ¸ 8 free read Dieses Buch führt Sie in Data Science ein indem es grundlegende Prinzipien der Datenanalyse erläutert und Ihnen geeignete Techniken und Werkzeuge vorstellt Sie lernen nicht nur wie Sie Bibliotheken Frameworks Module und Toolkits konkret einsetzen sondern implementieren sie auch selbst Dadurch entwickeln Sie ein tieferes Verständnis für die Zusammenhänge und erfahren wie essenzielle Tools und Algorithmen der Datenanalyse im Kern funktionierenFalls Sie Programmierkenntnisse u. The idea of the book is nice I still think is a useful book but1 you ll not learn math behind this or the methods will be explained it s good for a programming though2 regarding programming part I think that people would benefit if there were some actual exercises for them to do not just type in this code attitude3 would be nice if all of the data sets are actually generated in a book not just there is some data set with 2000 points that I just pulled out of my ass4 usage of numpy would be useful5 all of the titles which contain learn from scratch suck6 the whole american attitude with Congratulations You now work in DataScienster Welcome aboard is annoying and treats people like idiotsThe book is actually not that bad as I described it but sometimes while working you ll be so annoyed but all of these details Good thing that s not expensive

summary Ó Einführung in Data Science characters ☆ eBook, ePUB or Kindle PDF ¸ Joel Grus Joel Grus ¸ 8 free read Nd eine gewisse Sympathie für Mathematik mitbringen unterstützt Joel Grus Sie dabei mit den mathematischen und statistischen Grundlagen der Data Science vertraut zu werden und sich Programmierfähigkeiten anzueignen die Sie für die Praxis benötigen Dabei verwendet er Python Die weitverbreitete Sprache ist leicht zu erlernen und bringt zahlreiche Bibliotheken für Data Science mitAus dem Inhalt Absolvieren Sie einen Crashkurs in Python Lernen Sie die Grundlagen von linearer A. As the title implies this book will show you how to implement basic linear algebra statistics probability methods and ML models in pure Python The book covers all necessary basic topics for you to getting started with data science and also shows us where to dig in deeper in those topics Python with type hinting is a big plus Some people may hate it but I think it s a good feature In real life it may depend on your team Not enough mathematics explanations This is too scratchy I would want to see numpy in action Because the code would look much cleaner but it s still at low level enough to learn how to build Machine Learning models from scratch It will help reader to understand topics in a scientific way linear algebra operations Chapter 24 Databases and SL in which author tried to mimic SL command and uery with Python methods is completely redundant Meanwhile there is no chapter Moral Stealth: How "Correct Behavior" Insinuates Itself into Psychotherapeutic Practice on your team Not enough mathematics explanations This is too scratchy I would want to see numpy in action Because the code would look much cleaner but it s still at low level enough to learn how to build Machine Learning models from scratch It will help reader to understand topics in a scientific way linear algebra Lets Go by Helicopter operations Chapter 24 Databases and SL in which author tried to mimic SL command and uery with Python methods is completely redundant Meanwhile there is no chapter

Joel Grus ¸ 8 free read

summary Ó Einführung in Data Science characters ☆ eBook, ePUB or Kindle PDF ¸ Joel Grus Joel Grus ¸ 8 free read Lgebra Statistik und Wahrscheinlichkeitsrechnung kennen und erfahren Sie wie diese in Data Science eingesetzt werden Sammeln untersuchen bereinigen bearbeiten und manipulieren Sie Daten Tauchen Sie in die Welt des maschinellen Lernens ein Implementieren Sie Modelle wie k nearest Neighbors Naive Bayes lineare und logistische Regression Entscheidungsbäume neuronale Netzwerke und Clustering Entdecken Sie Empfehlungssysteme Sprachverarbeitung Netzwerkanalyse MapReduce und Datenbank. Not terribly impressed with this one The way I see it readers of this book either will already know how to do data science or they won t If they do and here I m ignoring the fact that why would they since the title of the book is data science from scratch then they will find the explanations of concepts too basic and the Python code implementation examples mostly useless they after all are not using the libraries specifically designed to do data science but rather implementing a na ve direct approach And if they don t then they will find the explanations of concepts too skimpy to be useful with the Python code implementation examples still useless because a they are hard to follow without first understanding the concepts and b they are from scratch so you wouldn t even be able to re use them in production for the concepts you did understand In all my biggest gripe is that the b