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whip_lash : datascience   15

Security Data Science Learning Resources – Jason Trost – Medium
This short post catalogs some resources that may be useful for those interested in security data science. It is not meant to be an exhaustive list. It is meant to be a curated list to help you get…
datascience  security 
16 days ago by whip_lash
DS100
Combining data, computation, and inferential thinking, data science is redefining how people and organizations solve challenging problems and understand their world. This intermediate level class bridges between Data8 and upper division computer science and statistics courses as well as methods courses in other fields.
course  data  datascience  statistics  learning  tutorial 
25 days ago by whip_lash
data-8.github.io
The course teaches critical concepts and skills in computer programming and statistical inference, in conjunction with hands-on analysis of real-world datasets, including economic data, document collections, geographical data, and social networks. It delves into social issues surrounding data analysis such as privacy and design.
course  datascience  programming  education  tutorial 
25 days ago by whip_lash
Practical Deep Learning for Coders 2019 · fast.ai
Launching today, the 2019 edition of Practical Deep Learning for Coders, the third iteration of the course, is 100% new material, including applications that have never been covered by an introductory deep learning course before (with some techniques that haven’t even been published in academic papers yet). There are seven lessons, each around 2 hours long, and you should plan to spend about 10 hours on assignments for each lesson.
ai  machinelearning  programming  deeplearning  ml  tutorial  datascience  education  python 
january 2019 by whip_lash
GitHub - llSourcell/Learn_Data_Science_in_3_Months: This is the Curriculum for "Learn Data Science in 3 Months" By Siraj Raval on Youtube
This is the Curriculum for Learn Data Science in 3 Months by Siraj Raval on Youtube. After completing this course, start applying for jobs, doing contract work, start your own data science consulting group, or just keep on learning.
data  datascience  machinelearning 
january 2019 by whip_lash
Statistical rule of three
The rule of three gives a quick and dirty way to estimate these kinds of probabilities. It says that if you’ve tested N cases and haven’t found what you’re looking for, a reasonable estimate is that the probability is less than 3/N.
algorithms  datascience  math  statistics 
november 2018 by whip_lash
A Complete Machine Learning Walk-Through in Python: Part One
This series of articles will walk through a complete machine learning solution with a real-world dataset to let you see how all the pieces come together.
datascience  data  tutorial  python 
september 2018 by whip_lash
Kaggle: Your Home for Data Science
Kaggle is the place to do data science projects
data  datascience  programming  science 
august 2018 by whip_lash
A Tour of The Top 10 Algorithms for Machine Learning Newbies
For machine learning newbies who are eager to understand the basic of machine learning, here is a quick tour on the top 10 machine learning algorithms used by data scientists.
algorithms  datascience  machinelearning 
april 2018 by whip_lash
Aspiring Data Scientists! Start to learn Statistics with these 6 books!
In this article, I am going to list 6 books that I recommend to start with to learn statistics. The first three are lighter reads. These books are really good for setting your mind to think more numerical, mathematical and statistical. They also present why statistics is exciting (it is!) really well.
statistics  datascience  learning 
january 2018 by whip_lash
An example machine learning notebook
In this notebook, I'm going to go over a basic Python data analysis pipeline from start to finish to show you what a typical data science workflow looks like.
datascience  machinelearning 
june 2017 by whip_lash

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