the MailChimp founders, a profile

A profile of the MailChimp founders:
https://www.forbes.com/sites/alexkonrad/2018/10/08/the-new-atlanta-billionaires-behind-an-unlikely-tech-unicorn


Keyhole surgery

A goldmine

https://www.r-bloggers.com/in-depth-introduction-to-machine-learning-in-15-hours-of-expert-videos/

https://raw.githubusercontent.com/asadoughi/stat-learning/master/ch2/answers

http://www-bcf.usc.edu/~gareth/ISL/

Skills for the next 5 years

Vala Afshar's outlines the transformation going on right this moment in time

Transitioning towards a data science career

These two articles made for good reading/ reference

Rafael Knuth blogged about his transition into a data science career. He inspired someone else to follow his footsteps, & write about his experience.

Comparing read_csv with spark_read_csv

Reading in a csv file into R using dplyr's `read_csv()` function is so simple. The syntax & parameters of dplyr are fairly easy to remember, once you've done it a few times.

read_csv(file, 
    col_names = TRUE, 
    col_types = NULL,
    locale = default_locale(),
    na = c("", "NA"), 
    quoted_na = TRUE,
    quote = "\"", 
    comment = "", 
    trim_ws = TRUE, 
    skip = 0, n_max = Inf,
    guess_max = min(1000, n_max), 
    progress = show_progress()
)



I've only just started working with big data sets, & was began wondering if what I know about the dplyr syntax can be carried over to sparklyr's spark_read_csv() function.

While not exactly the same, but if you know one, you can quite easily pick the other. There's an additional parameter `sc`, aka spark connection, that's required.

spark_read_csv(
    sc, 
    name,
    path, 
    header = TRUE, # FALSE forces a "V_" prefix
    columns = NULL,
    infer_schema = TRUE, # to infer column data type
    delimiter = ",", 
    quote = "\"", 
    escape = "\\",
    charset = "UTF-8", 
    null_value = NULL,
    options = list(),
    repartition = 0, # number of partitions to distribute the generated table.
    memory = TRUE, 
    overwrite = TRUE, ...
)

Inspirations for humorous speech contests

and John's Anatomy of the speech here


More movie based speeches - Johnny Cash - Walk the line 


and this one on any speech in general - David Henderson

Reading list - week ending 30 Sep 2018

https://stratechery.com/2018/instagrams-ceo/

https://fs.blog/mental-models/

https://medium.com/@timberners_lee/one-small-step-for-the-web-87f92217d085 & related https://solid.inrupt.com/

https://www.nytimes.com/2018/09/28/science/neil-armstrong-auction.html


https://www.bloomberg.com/news/articles/2018-06-13/amazon-s-clever-machines-are-moving-from-the-warehouse-to-headquarters