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Data Science allows us to extract meaning from and interpret data.

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Machine learning deserves its own flavor of Continuous Delivery

Machine learning deserves its own flavor of Continuous Delivery

12
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9 min read
Democratizing Access to Artificial Intelligence

Democratizing Access to Artificial Intelligence

8
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2 min read
Understanding NLP

Understanding NLP

10
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5 min read
Standardization | Normalization

Standardization | Normalization

5
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2 min read
A small lesson on conditional probability

A small lesson on conditional probability

2
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3 min read
INTRO TO SIMPLE LINEAR REGRESSION!!!

INTRO TO SIMPLE LINEAR REGRESSION!!!

5
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4 min read
Best way to learn linux with the concepts of operating systems?

Best way to learn linux with the concepts of operating systems?

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Comments 4
1 min read
Solving an age-old problem using Bayesian Average

Solving an age-old problem using Bayesian Average

6
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7 min read
How Paulina changed career to data science after attending Flatiron School

How Paulina changed career to data science after attending Flatiron School

4
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4 min read
Introduction to probability

Introduction to probability

2
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4 min read
The 500-foot Cab Ride: Using BigQuery to find out how dirty (sinister?) NYC's cab ride data is

The 500-foot Cab Ride: Using BigQuery to find out how dirty (sinister?) NYC's cab ride data is

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3 min read
Learn Machine Learning through blog course

Learn Machine Learning through blog course

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2 min read
Clean your data

Clean your data

5
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2 min read
Creating JavaScript Column and Bar Charts on COVID-19 Data

Creating JavaScript Column and Bar Charts on COVID-19 Data

8
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7 min read
Data Scientists and Software Engineering

Data Scientists and Software Engineering

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Comments 15
5 min read
Swapping to data science

Swapping to data science

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1 min read
Machine Learning Monthly 💻🤖 February 2020

Machine Learning Monthly 💻🤖 February 2020

14
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8 min read
Quick guide to sorting algorithms + fastest comparison sort!

Quick guide to sorting algorithms + fastest comparison sort!

13
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1 min read
High demand data janitor of the 21st century

High demand data janitor of the 21st century

4
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2 min read
%$#@ This: Combing through 183 million git commits to find out when and how developers use the f-word

%$#@ This: Combing through 183 million git commits to find out when and how developers use the f-word

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3 min read
A JupyterHub Showcase: DevOps Intelligence

A JupyterHub Showcase: DevOps Intelligence

6
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6 min read
Using R-style Data Pipelines in Notebooks

Using R-style Data Pipelines in Notebooks

6
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3 min read
Hans Rosling Style analytics on Covid19

Hans Rosling Style analytics on Covid19

6
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1 min read
New Command Line Tool to Generate Jupyter Notebook Template Quickly

New Command Line Tool to Generate Jupyter Notebook Template Quickly

6
Comments
1 min read
Using Google's BigQuery to Better Understand the Python Ecosystem

Using Google's BigQuery to Better Understand the Python Ecosystem

6
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5 min read
How I stumbled into Data Science & Python

How I stumbled into Data Science & Python

6
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2 min read
As a Data Scientist, what's your excuse to not blog?

As a Data Scientist, what's your excuse to not blog?

3
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3 min read
AREPL stats 2019

AREPL stats 2019

6
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4 min read
Ewan Nicolson

Ewan Nicolson

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1 min read
Data : The Superpower of Future

Data : The Superpower of Future

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3 min read
Grid Unlock: Using a simulation in Python to demonstrate a faster way to walk

Grid Unlock: Using a simulation in Python to demonstrate a faster way to walk

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4 min read
Extracting more features - Sequence labelling in Python (part 3)

Extracting more features - Sequence labelling in Python (part 3)

6
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2 min read
Putting everything together - Sequence labelling in Python (part 5)

Putting everything together - Sequence labelling in Python (part 5)

5
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3 min read
Memorylessness at the Bus Stop: Using R on transit data to test a hypothesis

Memorylessness at the Bus Stop: Using R on transit data to test a hypothesis

1
Comments 5
6 min read
Roles in Data Science

Roles in Data Science

7
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1 min read
HOW TO PREPARE FOR A DATA SCIENTIST INTERVIEW?

HOW TO PREPARE FOR A DATA SCIENTIST INTERVIEW?

4
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3 min read
StyleGAN Pokemon Card Generator

StyleGAN Pokemon Card Generator

6
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6 min read
A graphic overview of the 'binary' with respect to R packages

A graphic overview of the 'binary' with respect to R packages

4
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2 min read
Setting up Continuous Integration (CI) for docker containers

Setting up Continuous Integration (CI) for docker containers

6
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9 min read
Searching the awesome-lists on Github

Searching the awesome-lists on Github

6
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3 min read
Classifying Tweets with Amazon ML

Classifying Tweets with Amazon ML

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6 min read
Hey, I'm Doing (Data) Science!

Hey, I'm Doing (Data) Science!

5
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4 min read
80+ Free Big Data Resources to Satisfy Your Knowledge Appetite - part 2

80+ Free Big Data Resources to Satisfy Your Knowledge Appetite - part 2

10
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5 min read
Supporting work...

Supporting work...

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3 min read
A ciência de dados pode salvar um país

A ciência de dados pode salvar um país

5
Comments 1
1 min read
Finding Myself Again

Finding Myself Again

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5 min read
03.12.19 - Turn, return, turn

03.12.19 - Turn, return, turn

5
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3 min read
I Am Not A Unicorn (Nor A Wizard): or, Why I Chose A Data Science Bootcamp

I Am Not A Unicorn (Nor A Wizard): or, Why I Chose A Data Science Bootcamp

4
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2 min read
Differential Privacy - Sharing Insights Privately, In Public

Differential Privacy - Sharing Insights Privately, In Public

2
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7 min read
26.11.19 - Testing, testing

26.11.19 - Testing, testing

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5 min read
The Only Strategy You Need to find your Development Target

The Only Strategy You Need to find your Development Target

9
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6 min read
18.11.19 - boot camp

18.11.19 - boot camp

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2 min read
Bill Gates Is Right, Adjust Your Focus

Bill Gates Is Right, Adjust Your Focus

6
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4 min read
Timely Considerations

Timely Considerations

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5 min read
What Should I Do When My Data Science Project Gets Canned?

What Should I Do When My Data Science Project Gets Canned?

5
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6 min read
Datathon 2019

Datathon 2019

10
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3 min read
No such thing as anonymous data

No such thing as anonymous data

3
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5 min read
How to build a machine learning project in Elixir.

How to build a machine learning project in Elixir.

10
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2 min read
Azure Message Brokers patterns for Data Applications

Azure Message Brokers patterns for Data Applications

6
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6 min read
28.10.19 - In which many wheels were spun

28.10.19 - In which many wheels were spun

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2 min read
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