cover title author rating rating my rating review Down arrow read added
 
Python Data Science Handbook: Tools and Techniques for Developers
4.32
really liked it
This book is not as good as R for Data Science: Import, Tidy, Transform, Visualize, and Model Data, but if you are constrained or committed to using P ...more
May 2018
May 19, 2018
 
The Book of Why: The New Science of Cause and Effect
3.95
it was ok
I've never met Pearl, but having read a couple of his books, I'm pretty sure he's an asshole. His anger and bitterness comes through very clearly in h ...more
May 24, 2018
May 24, 2018
 
Introduction to Machine Learning with Python: A Guide for Data Scientists
4.32
really liked it
I do not like this book as much as as An Introduction to Statistical Learning: With Applications in R, but if you are constrained or committed to usin ...more
Jan 2017
May 19, 2018
 
Deep Learning with Python
4.65
really liked it
This book is good, provided you do not believe the author's facile claims that it is the only book you need. This book explains almost nothing about h ...more
Apr 02, 2018
not set
Apr 03, 2018
 
Applied Predictive Modeling
4.46
it was amazing
I think this book is best seen as a sequel to An Introduction to Statistical Learning: With Applications in R. It has three main features:

* Practical
...more
Jan 2014
May 19, 2018
 
Python for Data Analysis: Data Wrangling with Pandas, Numpy, and Ipython
4.13
really liked it
This book is a well-written, verbose introduction to Pandas by the main author of that library. Don't expect to learn much besides Pandas - matplotlib ...more
Oct 20, 2018
Oct 20, 2018
 
R for Data Science: Import, Tidy, Transform, Visualize, and Model Data
4.60
it was amazing
This book is an excellent gentle introduction to data analysis and exploration in R. I especially recommend it as the 1st book for software engineers ...more
Jan 2017
Mar 21, 2018
 
Advances in Financial Machine Learning
4.25
it was amazing
This book is for people who already understand machine learning or predictive modeling, and who already understand investment, and would like some gui ...more
Apr 2018
May 04, 2018
 
Practical Statistics for Data Scientists: 50 Essential Concepts
4.03
really liked it
This book is well written and packs a substantial amount of information into a small number of pages. It is best used to get a survey and overview of ...more
Jun 2017
Mar 21, 2018
 
Causality
4.15
it was ok
This should not be your first book on causality. Start with Kline, and if you finish that book and want more on SCM, then come back to this book. Anot ...more
Jun 2018
Jun 03, 2018
 
Principles and Practice of Structural Equation Modeling, Fourth Edition
4.07
it was amazing
This is the correct first book to read on causal inference. It covers structural equation modeling (SEM), confirmatory factor analysis (CFA), and Pear ...more
Mar 2019
Mar 10, 2019
 
OpenIntro Statistics
4.09
it was amazing
This is my favorite introductory statistics book. I've gone through a lot of stats books, and I've found that most of them have either too much math o ...more
Jan 2017
Mar 21, 2018
 
The Black Swan: The Impact of the Highly Improbable
3.93
liked it
You should read one book from Nassim Taleb, and this one would be a reasonable choice. With each book he writes, he develops some new ideas, but he al ...more
Jan 2011
May 21, 2018
 
Numerical Linear Algebra
4.19
really liked it
This is an excellent 2nd book on linear algebra, after a traditional book like Strang (or whatever your professor used in college). It presents an unu ...more
Aug 12, 2018
Aug 12, 2018
 
Data Analysis Using Regression and Multilevel/Hierarchical Models
4.35
it was amazing
This is my recommended book on multilevel models, and it's also much more than that. Even if you have no interest whatsoever in multilevel models, the ...more
Feb 2018
Mar 21, 2018
 
Gaussian Processes for Machine Learning
4.26
it was ok
I found this book rather theoretical and inaccessible; it is written in a style where the equations are largely expected to speak for themselves witho ...more
Jan 2012
May 19, 2018
 
R for Marketing Research and Analytics
4.52
really liked it
This book is well-written and I agree with almost all of the authors' advice about how analyses should be carried out.

The problem is that it's a surve
...more
Apr 2019
Apr 11, 2019
 
Recommender Systems: The Textbook
4.25
it was amazing
This book is an extensive intermediate-level survey of the literature in recommender systems, organized by topic. It is mathematically very accessible ...more
Nov 2018
Nov 17, 2018
 
Introductory Statistics with R (Statistics and Computing)
3.82
really liked it
If you already understand the concepts of frequentist statistics, this book will clearly show you how to apply them using R, and get you from zero to ...more
Oct 2015
Mar 21, 2018
 
Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy
3.87
liked it
This book contains some excellent points which people of all political stripes should be able to agree with, regrettably mashed together with anti-mar ...more
Jul 2018
Jul 01, 2018
 
Mostly Harmless Econometrics: An Empiricist's Companion
4.11
it was amazing
This is an excellent book on causal inference for econometrics and related problems (many observations, some unobserved covariates, no randomized expe ...more
Aug 04, 2018
Aug 04, 2018
 
Deep Learning
4.45
it was amazing
I found this book to be an excellent introduction and overview of deep neural networks for someone who already understands other types of statistical ...more
Mar 2018
Mar 27, 2018
 
Business Modeling and Data Mining
4.08
really liked it
This is a nontechnical book on data modeling and mining. It has a small chapter on specific algorithms and tools, but you shouldn't even read that cha ...more
Mar 2018
Mar 21, 2018
 
Deep Learning with R
4.59
really liked it
Good book, but unless you have a substantial investment in R infrastructure that you can't afford to abandon, you should get the Python version of it ...more
Apr 03, 2018
Apr 03, 2018
 
All of Statistics: A Concise Course in Statistical Inference
4.24
it was ok
From the title, one expects this book to be comprehensive and encyclopedic, but I found the opposite to be the case. This is a very mathematical rapid ...more
Jan 2013
Mar 22, 2018
 
Statistical Power Analysis for the Behavioral Sciences
3.97
liked it
This book is THE canonical reference for effect size and power testing; it coined the term “Cohen's d”. References in R functions, such as pwr.2p2n.te ...more
Nov 21, 2018
Nov 21, 2018
 
Applied Regression Analysis, Linear Models, and Related Methods
3.60
really liked it
You need at least one thorough book on linear regression, and Fox is arguably the gold standard, as he's the author of the R "car" package, derived fr ...more
Nov 2017
May 19, 2018
 
Practical Time Series Forecasting with R: A Hands-On Guide
4.14
liked it
This is a good introduction to time series forecasting for managers who need to talk about forecasting but who will not be personally doing forecastin ...more
Apr 09, 2018
Apr 09, 2018
 
Time Series Analysis and Its Applications: With R Examples (Springer Texts in Statistics)
3.70
it was ok
This book gets generally good reviews but I'm sorry to say I just didn't like it. The authors' ideas of what's simple and what's complicated just don' ...more
not set
Mar 21, 2018
 
Multilevel Modeling Using R
3.76
it was ok
This brief book is designed in the model of a practitioner's guide with just enough theory to understand how to call and interpret the R functions. Un ...more
Nov 2015
Mar 21, 2018
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