😱Twitter Recommendation Algorithm: Source Code🤩

Twitter knows you better than you think😉. Its recommendation algorithm analyzes your every move on the platform to curate a feed that is tailor-made for you.

From trending topics to tweets from your favorite accounts, it's all about what you want to see. With the power of machine learning, Twitter's recommendation algorithm is always evolving, ensuring that you never miss out on the latest buzz😎.

Here's the source code to the recommendation algorithm
Github⭐️: Link

Looking for an introduction on how the algorithm works😎
SEARCH NO MORE!!

#recommendation_engine #algorithm #twitter #machine_learning
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Data Science Pre Requisite

Want to learn Data Science? Start by mastering these:

1.Basic knowledge of statistics: concepts like mean, median, mode, variance, and standard deviation is crucial to conducting data analysis.

2.Programming skills: be comfortable with at least one programming language. Python and R are widely used in data science, but you can also learn other languages like SQL, MATLAB, or Java.

3.Mathematics: understanding of linear algebra, calculus, and probability theory is essential as they are used in many data science models.

4.Data manipulation: be familiar with data cleaning to remove noise, outliers, and missing values, and data preprocessing for transformation, scaling, and normalization.

5.Data visualization: represent data visually using charts, graphs, and plots is important to communicate insights effectively.

6.Domain knowledge: Having knowledge about the industry or domain you are working in is useful to make informed decisions and design relevant models.

Happy Learning 😃

Binary Classification: A Deep Learning Approach

Unlock the power to predict the future with binary classification. This tutorial will guide you through the process of distinguishing between two outcomes using Deep Learning.

Click Me

#deep_learning #classification

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Companies That Hire Data Scientists

Amazon
Facebook
Google
Microsoft
Netflix
Airbnb
Uber
LinkedIn
Twitter
PayPal
Booking.com
Airbnb
Salesforce
IBM
Accenture
McKinsey & Company
BCG
EY
Deloitte
PwC


Companies that hire Data Engineers:

Amazon Web Services (AWS)
Google Cloud Platform (GCP)
Microsoft Azure
IBM Cloud
Facebook
Netflix
Uber
Airbnb
LinkedIn
Twitter
PayPal
Salesforce
Oracle
Cisco
Intel
Hewlett Packard Enterprise (HPE)
Accenture
McKinsey & Company
BCG
EY

Please note that this list is not exhaustive and there may be many more companies that hire those 2 positions.

Tomorrow we are sharing list of Indian companies, both at your request 😊

@datascience_bds

As i promised, here is a list of famous Indian companies that hire data scientists and data engineers:
(This one is also on your request)

Flipkart
Ola
Swiggy
Zomato
InMobi
Myntra
Practo
Razorpay
Dream11
PhonePe
Byju's
Hike
Reliance Jio
Paytm
PolicyBazaar
Cure.fit
Udaan
Freshworks
Cred
BigBasket

@datascience_bds

Data Science Interview Resource

Looking to ace that Data Science Interview?

This resource got you covered 👌

It covers a wide range of topics from machine learning and deep learning to probability and statistics , python and SQL .

Link

Happy Learning 😃

#deep_learning #machine_learning #Data_Science #interview

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Stanford Seminar on Machine Learning Explainability

Hey there ☺️. Are you interested in the Explainability of ML and everything going on around it from the basics to the latest research in it?

Here's a cool 😎 video from Stanford

Video Link



#stanford #ml

Reading Minds with AI: Researchers Translate Brain Waves to Images

This article discusses a new AI technology developed by researchers that is capable of translating brain waves into images. The technology utilizes machine learning algorithms to analyze the patterns in brain waves produced when a person is shown visual stimuli and convert them into digital images.

This breakthrough could potentially help individuals who have difficulty communicating, such as those with paralysis, to express their thoughts and feelings through images.

An Interesting Article 😉

WHAT'S ON YOUR MIND? I'M CURIOUS.🙂

Hey 👋 there!

I see that you have been enjoying the resources shared here so far.

In a bid to serve you better ☺️ I'm really interested in how best the resources here suit you?

Are there resources you have been unable to find here😊 or resources you wish you could get access to?😉

Kindly leave your thoughts here. If you have been enjoying it so far.

I'm glad 😊to know this and I wish you well in your learning journey.

Top 12 Interesting Careers to Explore in BIG DATA

PANDAS FOR DATA SCIENCE

In this learning path, you’ll get started with pandas and get to know the ins and outs of how you can use it to analyze data with Python.

Pandas is a game-changer for data science and analytics, particularly if you came to Python because you were searching for something more powerful than Excel and VBA. It uses fast, flexible, and expressive data structures designed to make working with relational or labeled data both easy and intuitive.

Click Here

⭐️ 15 Best Machine Learning Cheat Sheet ⭐️

1- Supervised Learning

https://github.com/afshinea/stanford-cs-229-machine-learning/blob/master/en/cheatsheet-supervised-learning.pdf

2- Unsupervised Learning

https://github.com/afshinea/stanford-cs-229-machine-learning/blob/master/en/cheatsheet-unsupervised-learning.pdf

3- Deep Learning

https://github.com/afshinea/stanford-cs-229-machine-learning/blob/master/en/cheatsheet-deep-learning.pdf

4- Machine Learning Tips and Tricks

https://github.com/afshinea/stanford-cs-229-machine-learning/blob/master/en/cheatsheet-machine-learning-tips-and-tricks.pdf

5- Probabilities and Statistics

https://github.com/afshinea/stanford-cs-229-machine-learning/blob/master/en/refresher-probabilities-statistics.pdf

6- Comprehensive Stanford Master Cheat Sheet

https://github.com/afshinea/stanford-cs-229-machine-learning/blob/master/en/super-cheatsheet-machine-learning.pdf

7- Linear Algebra and Calculus

https://github.com/afshinea/stanford-cs-229-machine-learning/blob/master/en/refresher-algebra-calculus.pdf

8- Data Science Cheat Sheet

https://s3.amazonaws.com/assets.datacamp.com/blog_assets/PythonForDataScience.pdf

9- Keras Cheat Sheet

https://s3.amazonaws.com/assets.datacamp.com/blog_assets/Keras_Cheat_Sheet_Python.pdf

10- Deep Learning with Keras Cheat Sheet

https://github.com/rstudio/cheatsheets/raw/master/keras.pdf

11- Visual Guide to Neural Network Infrastructures

http://www.asimovinstitute.org/wp-content/uploads/2016/09/neuralnetworks.png

12- Skicit-Learn Python Cheat Sheet

https://s3.amazonaws.com/assets.datacamp.com/blog_assets/Scikit_Learn_Cheat_Sheet_Python.pdf

13- Scikit-learn Cheat Sheet: Choosing the Right Estimator

https://scikit-learn.org/stable/tutorial/machine_learning_map/

14- Tensorflow Cheat Sheet

https://github.com/kailashahirwar/cheatsheets-ai/blob/master/PDFs/Tensorflow.pdf

15- Machine Learning Test Cheat Sheet

https://www.cheatography.com/lulu-0012/cheat-sheets/test-ml/pdf/

#machine_learning #deep_learning #scikit-learn #keras
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