Data Science

Collection by Paweł Cisło

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Paweł Cisło
Machine Learning
Optimisation
Career
Funny :)
Deep Learning
100 Days of ML Code by Avik Jain
Evaluation
Levels of measurement
Visualisation
Activation Functions
Distributions
Fallacies to avoid
Learning Path
Other Pins

Machine Learning

Credit: Vasily Zubarev (vas3k.com)

The map of the machine learning world

Credit: Vasily Zubarev (vas3k.com)

Credit: Vasily Zubarev (vas3k.com)

The main types of machine learning

Credit: Vasily Zubarev (vas3k.com)

Credit: Vasily Zubarev (vas3k.com)

Classical machine learning

Credit: Vasily Zubarev (vas3k.com)

Credit: Vasily Zubarev (vas3k.com)

Stacking (Ensemble Method)

Credit: Vasily Zubarev (vas3k.com)

Credit: Vasily Zubarev (vas3k.com)

Bagging (Ensemble Method)

Credit: Vasily Zubarev (vas3k.com)

Credit: Vasily Zubarev (vas3k.com)

Boosting (Ensemble Method)

Credit: Vasily Zubarev (vas3k.com)

Scikit-learn algorithm [Cheat Sheet]

Top Prediction Algorithms

Machine Learning Explained: Algorithms Are Your Friend

An intro to concepts such as linear regression, logistic regression, random forest, gradient boosting, deep learning, and neural networks.

Credit: Business Science University

Segmentation & Clustering [Cheat Sheet]

Credit: Business Science University

Credit: Business Science University

Regression

Credit: Business Science University

Machine Learning Algorithms [Cheat Sheet]

Machine Learning through process

Microsoft Azure Machine Learning: Algorithm [Cheat Sheet]

Machine learning algorithms

Machine learning algorithms

Credit: @ml.india

Machine Learning models and parameters to optimize

Credit: @ml.india

Credit: Rubens Zimbres

Machine Learning applied to Big Data

Credit: Rubens Zimbres

Credit: @emilyinamillion

Machine Learning in Emoji

Credit: @emilyinamillion

How to use Decision Tree algorithm

Random Forest Machine Learning Algorithm

Start A Fire

Optimisation

Variance and Bias

Credit: Pierian Data

Model Flexibility (Bias Variance Trade-Off)

Credit: Pierian Data

Variance and Bias

Underfitting / Overfitting

Convex & Non-convex functions

(1) Different X distributions in covariate shift. (2) Different Y distributions in prior probability shift. (3) Different relationship between Y and X in concept shift

Three types of dataset shift

(1) Different X distributions in covariate shift. (2) Different Y distributions in prior probability shift. (3) Different relationship between Y and X in concept shift

Credit: Rubens Zimbres

24 Neural Network Adjustements

Credit: Rubens Zimbres

Bias/Variance summary

Bias-Variance Trade-Off

Career

Credit: Business Broadway

Skill proficiency varies by data science role

Credit: Business Broadway

Data Scientists Are Thinkers

Credit: Amadus

High performance team structure of data science

Credit: Amadus

Jobs in Data Science (Data Scientist / Data Engineer / Statistician)

Skill percentage in data industry

Road to Data Scientist

Funny :)

ML Paper Titles

Joseph Redmon - creator of the popular object detection algorithm YOLO (You Only Look Once)

Resume of Joseph Redmon

Joseph Redmon - creator of the popular object detection algorithm YOLO (You Only Look Once)

As seen by users of... (Stata, R, SAS, Python, SPSS)

Approach to solving data science problems :)

...an effect size of 1.68 (95% CI: 1.56 (95% CI: 1.52 (95% CI: 1.504 (95% CI: 1.494 (95% CI: 1.488 (95% CI: 1.485 (95% CI: 1.482 (95% CI: 1.481 (95% CI: 1.4799 (95% CI: 1.4791 (95% CI: 1.4784...

Pulsar Analogy

〰

math on Instagram: “〰”

303 Likes, 23 Comments - math (@mathmaniacs) on Instagram: “〰”

statistics - Google Search

statistics - Google Search

Box Plot

;/

Dilbert and statistics

The worst are graphs with qualitative, vaguely-labeled axes and very little actual data.

Scientific Paper Graph Quality

Big Data - What CMOs Need to Know About Data Informed Content Marketing

What CMOs Need to Know About Data Informed Content Marketing

Driven by trends in lower performing advertising and changing consumer behaviors, many marketers have embraced content with the majority of companies

Statistics Humor.hahaha (Thanks to my stats teacher I know what this means.)

Tumblr

Tumblr is a place to express yourself, discover yourself, and bond over the stuff you love. It's where your interests connect you with your people.

Curve-fitting methods - funny :)

Deep Learning

Mostly complete chart of Neural Networks

100 Days of ML Code by Avik Jain

Data preprocessing (day 1)

Data preprocessing (day 1)

Simple Linear Regression (day 2)

Simple Linear Regression (day 2)

Evaluation

Confusion Matrix

Precision and Recall

Confusion Matrix

Levels of measurement

Quantitative (Numerical) vs Qualitative (Categorical)

Four primary types of scales of measurement: nominal, ordinal, interval and ratio

Visualisation

Type of charts to use

Type of charts to use

Choosing the right chart

Activation Functions

Activation Functions for Artificial Neural Networks | Credit: Sebastian Raschka

Activation Functions for Neural Networks

Distributions

Statistical distributions in one picture

Fallacies to avoid

13 Common Mistakes Amateur Data Scientists Make and How to Avoid Them | Credit: Analytics Vidhya

13 Common Mistakes Amateur Data Scientists Make and How to Avoid Them | Credit: Analytics Vidhya

Data fallacies to avoid | Credit: Geckoboard.com

Data fallacies to avoid | Credit: Geckoboard.com

Learning Path

The Ultimate Learning Path to Become a Data Scientist and Master Machine Learning in 2019 | Credit: Analytics Vidhya

The Ultimate Learning Path to Become a Data Scientist and Master Machine Learning in 2019 | Credit: Analytics Vidhya

11 Steps to Transition into Data Science (for Reporting / MIS / BI Professionals) | Credit: Analytics Vidhya

11 Steps to Transition into Data Science (for Reporting / MIS / BI Professionals) | Credit: Analytics Vidhya

Other Pins

ML Paper Titles

Joseph Redmon - creator of the popular object detection algorithm YOLO (You Only Look Once)

Resume of Joseph Redmon

Joseph Redmon - creator of the popular object detection algorithm YOLO (You Only Look Once)

As seen by users of... (Stata, R, SAS, Python, SPSS)

Confusion Matrix

Precision and Recall

Confusion Matrix

Statistical distributions in one picture

Activation Functions for Artificial Neural Networks | Credit: Sebastian Raschka

Activation Functions for Neural Networks

Quantitative (Numerical) vs Qualitative (Categorical)

Four primary types of scales of measurement: nominal, ordinal, interval and ratio

Statistical models

Approach to solving data science problems :)

Type of charts to use

Type of charts to use

13 Common Mistakes Amateur Data Scientists Make and How to Avoid Them | Credit: Analytics Vidhya

13 Common Mistakes Amateur Data Scientists Make and How to Avoid Them | Credit: Analytics Vidhya

Data fallacies to avoid | Credit: Geckoboard.com

Data fallacies to avoid | Credit: Geckoboard.com