DataTaunew | comments | leaders | submitlogin
1.
Machine Intelligence Will Let Us All Work Like CEOs (hbr.org)
7 points by belokon 2 days ago | discuss
2.
How to Reach More People with your Next Data Science Talk (arilamstein.com)
7 points by ari 2 days ago | discuss
3.
When and why to build your own data tools? (data36.com)
4 points by honnolding 2 days ago | discuss
4.
An Introduction to Stock Market Data Analysis with R (Part 1) (ntguardian.wordpress.com)
4 points by cgmil 2 days ago | discuss
5.
A *Magical* Introduction to Classification Algorithms (yhat.com)
13 points by elisebreda 6 days ago | discuss
6.
The most complete bike sharing visualization and analysis website. (visualization.bike)
24 points by bike_visual 8 days ago | 3 comments
7.
The Best Sources for Learning D3 (datazar.com)
12 points by timgarber 6 days ago | 1 comment
8.
To become a data scientist, focus on coding (fast.ai)
7 points by james_c 5 days ago | discuss
9.
The Shrewd AI Strategy behind Google's Kaggle Acquisition (deeplearningweekly.com)
9 points by rin_tin 7 days ago | 1 comment
10.
Learning Data Analytics is not tough, Starting is Tough (hackernoon.com)
5 points by amrrs 5 days ago | discuss
11.
Common Problems in Hyperparameter Optimization [slides] (slideshare.net)
2 points by alexandraj777 2 days ago | 1 comment
12.
Your Entire Analytics Dashboard in Slack (medium.com)
20 points by keydunov 13 days ago | 4 comments
13.
Data Coding 101 – Intro To Bash – ep#4 (tutorial for beginners) (with video!) (data36.com)
6 points by data36 7 days ago | discuss
14.
Ordered Categorical GLMs for Product Feedback Scores (willwolf.io)
4 points by cavaunpeu 5 days ago | discuss
15.
Optimizing Python code performance with cProfile (alookanalytics.com)
7 points by adam_alook 8 days ago | discuss
16.
A list of must read books for Data Science (paralleldots.com)
16 points by muktabh 14 days ago | 4 comments
17.
R Tutorial for Beginners (statmethods.net)
4 points by acadian04 7 days ago | 1 comment
18.
So you built a machine learning model? (sourabhbajaj.com)
10 points by sb2nov 13 days ago | discuss
19.
Predictive Analytics 101 - the basics explained for non-devs (PART 2) (data36.com)
10 points by data36 13 days ago | discuss
20.
Live Webinar - Comparing Python, R, SQL and bash (demo with live coding)! (data36.com)
3 points by data36 7 days ago | discuss
21.
Webinar: Using AI To Accelerate The Customer Feedback Loop (keatext.ai)
5 points by keatextai 9 days ago | discuss
22.
The Next Era of Research Communication (datazar.com)
4 points by ata_aman 8 days ago | discuss
23.
Interview questions for data scientists (shapescience.xyz)
9 points by aflam 14 days ago | discuss
24.
Cool Datasets (cooldatasets.com)
17 points by ata_aman 20 days ago | discuss
25.
Better online business by using data (video rec from Swedish GH meetup) (youtu.be)
4 points by data36 9 days ago | discuss
26.
A tutorial for homomorphically encrypted deep learning (github.io)
6 points by antognini 12 days ago | discuss
27.
DataTau | Ask DT - Are there any opensource A/B Testing dashboards
9 points by kalyantj 9 days ago | 5 comments
28.
Github course of practical reinforcement learning (github.com)
15 points by axelr 21 days ago | discuss
29.
Algorithms Tour: How data science is woven into the fabric of Stitch Fix (stitchfix.com)
14 points by hspter 20 days ago | discuss
30.
How to choose a project to practice data science (sharpsightlabs.com)
8 points by SharpSightLabs 16 days ago | discuss
More

RSS | Announcements