What Types of Questions Can #DataScience Answer #KDN https://t.co/M2Nf8QgFqu
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Data Science for Beginners - A Curriculum by MICROSOFT
A project-based data science curriculum for beginners with great lessons, notes, and assignments.
10 weeks, 20 lessons, using Python.
#beginner #datascience
https://github.com/microsoft/Data-Science-For-Beginners
A project-based data science curriculum for beginners with great lessons, notes, and assignments.
10 weeks, 20 lessons, using Python.
#beginner #datascience
https://github.com/microsoft/Data-Science-For-Beginners
Data Scientists Without Data Engineering Skills Will Face the Harsh Truth
https://towardsdatascience.com/data-scientists-without-data-engineering-skills-will-face-the-harsh-truth-ff482a223ddc
#dataengineering #datascience
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https://towardsdatascience.com/data-scientists-without-data-engineering-skills-will-face-the-harsh-truth-ff482a223ddc
#dataengineering #datascience
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Medium
Data Scientists Without Data Engineering Skills Will Face the Harsh Truth
Get yourself ready for the real world.
A friendly introduction to machine learning compilers and optimizers
https://huyenchip.com/2021/09/07/a-friendly-introduction-to-machine-learning-compilers-and-optimizers.html
#beginner #datascience #machinelearning
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https://huyenchip.com/2021/09/07/a-friendly-introduction-to-machine-learning-compilers-and-optimizers.html
#beginner #datascience #machinelearning
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Chip Huyen
A friendly introduction to machine learning compilers and optimizers
[Twitter thread, Hacker News discussion]
Data Scientist, Data Engineer & Other Data Careers, Explained
https://www.kdnuggets.com/2021/05/data-scientist-data-engineer-data-careers-explained.html
#datascience #machinelearning
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https://www.kdnuggets.com/2021/05/data-scientist-data-engineer-data-careers-explained.html
#datascience #machinelearning
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KDnuggets
Data Scientist, Data Engineer & Other Data Careers, Explained
In this article, we will have a look at five distinct data careers, and hopefully provide some advice on how to get one's feet wet in this convoluted field.
Good repository of ML notes
#beginner #datascience #machinelearning
https://chrisalbon.com/
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#beginner #datascience #machinelearning
https://chrisalbon.com/
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Chris Albon
Home - Chris Albon
Hi, I'm Chris Albon. I've been working in AI for a long time, currently as Director of Machine Learning at the Wikimedia Foundation, and over the years, I've developed a habit: reading something —- …
The Most In-Demand Skills for Data Scientists in 2021
#beginner #datascience #machinelearning
https://www.kdnuggets.com/2021/04/most-demand-skills-data-scientists.html
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#beginner #datascience #machinelearning
https://www.kdnuggets.com/2021/04/most-demand-skills-data-scientists.html
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Netflix Movies and TV Shows Analysis.pdf
738.8 KB
Netflix Movies and TV Shows Analysis (Python Implementation)
1. Importing Libraries and Dataset
2. Data Cleaning and Preprocessing
3. Data Visualization
#python #datavisualization #netflix #python3 #pythonprogramming #pythonprogramminglanguage #datascience
Credit: Nirmal Gaud
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1. Importing Libraries and Dataset
2. Data Cleaning and Preprocessing
3. Data Visualization
#python #datavisualization #netflix #python3 #pythonprogramming #pythonprogramminglanguage #datascience
Credit: Nirmal Gaud
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Harvard CS109A #DataScience course materials — huge collection free & open!
1. Lecture notes
2. R code, #Python notebooks
3. Lab material
4. Advanced sections
and more ...
https://harvard-iacs.github.io/2019-CS109A/pages/materials.html
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1. Lecture notes
2. R code, #Python notebooks
3. Lab material
4. Advanced sections
and more ...
https://harvard-iacs.github.io/2019-CS109A/pages/materials.html
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@data_enthusiasts
Pornhub Explanatory Data Analysis.pdf
1.4 MB
Pornhub - Exploratory Data Analysis (Python Implementation)
1. Loading the libraries
2. Loading the data
3. Some preprocessing
4. Most viewed videos
5. Most viewed categories
6. Most voted categories
7. Length of video vs Number of views
8. Quality of video vs Number of views
9. Length of video vs Voting of video
10. Quality of video vs Voting of video
12. Most used words in Tags
13. Most used words in Categories
14. Most used words in Titles
#dataanalysis #data #quality #video #dataanalysis #dataanalytics #datascientist #datasciencetraining #datascience #exploratorydataanalysis #pornhub #python #pythonprogramming #pythonfordatascience #pythonprogramminglanguage
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1. Loading the libraries
2. Loading the data
3. Some preprocessing
4. Most viewed videos
5. Most viewed categories
6. Most voted categories
7. Length of video vs Number of views
8. Quality of video vs Number of views
9. Length of video vs Voting of video
10. Quality of video vs Voting of video
12. Most used words in Tags
13. Most used words in Categories
14. Most used words in Titles
#dataanalysis #data #quality #video #dataanalysis #dataanalytics #datascientist #datasciencetraining #datascience #exploratorydataanalysis #pornhub #python #pythonprogramming #pythonfordatascience #pythonprogramminglanguage
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The Evolution of Netflix ML Technology!
Netflix strives to give recommendations that are relevant to our subscribers' interests, and they rely on Machine Learning (ML) methods to accomplish this.
However, ML algorithms are only as good as the data we feed them. Axion fact store is a component of the Machine Learning Platform, which serves machine learning needs across Netflix. The blog concentrates on the vast number of high-quality data kept in Axion, our fact store used to compute ML features offline.
Axion was created largely to reduce any training-serving bias and to accelerate offline experimentation.
The image below depicts how Axion interacts with Netflix's ML platform. The whole ML platform comprises tens of components, and the figure below only illustrates a subset of them. More information is available at Read here
#artificialintelligence #machinelearning #datascience #innovation #technology
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Netflix strives to give recommendations that are relevant to our subscribers' interests, and they rely on Machine Learning (ML) methods to accomplish this.
However, ML algorithms are only as good as the data we feed them. Axion fact store is a component of the Machine Learning Platform, which serves machine learning needs across Netflix. The blog concentrates on the vast number of high-quality data kept in Axion, our fact store used to compute ML features offline.
Axion was created largely to reduce any training-serving bias and to accelerate offline experimentation.
The image below depicts how Axion interacts with Netflix's ML platform. The whole ML platform comprises tens of components, and the figure below only illustrates a subset of them. More information is available at Read here
#artificialintelligence #machinelearning #datascience #innovation #technology
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Math of ML.pdf
3.1 MB
Mathematics of Machine Learning by Philippe Rigollet.
These lecture notes would teach you all that you need about the math behind machine learning!
#math #ml #datascience
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These lecture notes would teach you all that you need about the math behind machine learning!
#math #ml #datascience
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