data_science_in_julia_for_hackers
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Data Science in Julia With Hackers
## Poor quality image * [x] done ## Give more details * [x] done Change "To simplify, we approximate the escape velocity as:" To something like: "Assuming the planet is...
# Chapter 3 The intro to probability is very clear, congrats! - [ ] In the introduction, it can also refer to independent events and conditional probability as well as...
## nitpick * [x] done Change: We all hate spam emails. How can Bayes help us with this? What we will be introducing in this chapter is a simple yet...
# Part 1 - [ ] Current Prologue (suggested Introduction in previous issue, # 190) can be merged with current Chapter 1 since it keeps clarifying Authors’ point of view...
# Chapter 2 This chapter is quite long and comprises different kinds of knowledge and specifications. It is recommendable to split, define and highlight for a better reading. Some suggestions...
# Chapter 1 - [ ] Replace: to apply it and transform reality. But in reality this is not the case. By: to develop new understandings, apply it and transform...
# Introduction - [ ] Replace section name: Introduction By: About this book # Prologue - [ ] Replace section name: Prologue By: Introduction - [ ] Before the 1st...
## Consider improving the quality of the images * [ ] done ## Consider using only the first person of the plural * [ ] done ## Consider hiding the...
## Align expectations * [ ] done Chapter 1 puts a lot of emphasis on application, but then Chapter 2 has no applications at all, and it seems that's also...