https://www.datacamp.com/community/news/top-6-smart-technologies-behind-artificial-intelligence-2qj3z52xr4j

AI is a collection of different technologies that allow machines to make smart decisions. But, what are those technologies working behind AI? Here are those six technologies you need to know.

Top 6 Smart Technologies Behind Artificial Intelligence

https://www.datacamp.com/community/news/decorators-in-python-h0m0dasqipe

Learn how to implement decorators in Python.

Decorators in Python

https://www.datacamp.com/community/news/tidy-sentiment-analysis-in-r-7kcg2vmpxpd

Learn how to perform tidy sentiment analysis in R on Prince's songs, sentiment over time, song level sentiment, the impact of bigrams, and much more!

Tidy Sentiment Analysis in R

https://www.datacamp.com/community/news/data-visualisation-with-tableau-71o7ee6jzui

In this tutorial, you will learn how to analyze and display data using Tableau and make better, more data-driven decisions. 

Data Visualisation with Tableau

https://www.datacamp.com/community/news/how-netflix-uses-ai-for-better-content-recommendation-v1ypkat69sn

Netflix: the world’s most popular subscription-based video streaming offered worldwide!
“Black Mirror, Dead to Me, and Medici.” — Top recommendations on Netflix to watch next.
But hey, how could Netflix possibly know which genre best fits the tastes of the user?

How Netflix Uses AI For Better Content Recommendation

https://www.datacamp.com/community/news/the-10-most-frequently-asked-artificial-intelligence-interview-questio-b6dh7kf5be

Over the last decade, artificial intelligence (AI) has made a great impact in the market — not to mention AI is the force behind the fourth industrial revolution.

If you browse through the internet or job listing portals, you will find AI to be one of the leading jobs in the world.

The 10 Most Frequently Asked Artificial Intelligence Interview Questio

https://www.datacamp.com/community/news/k-means-clustering-in-r-tutorial-cq3latvdphb

Learn all about clustering and, more specifically, k-means in this R Tutorial, where you'll focus on a case study with Uber data.

K-Means Clustering in R Tutorial

https://www.datacamp.com/community/news/stemming-and-lemmatization-in-python-z549ojv4ch

Learn what is Stemming and Lemmatization in Natural Language Processing and how to implement them in Python.

Stemming and Lemmatization in Python

https://www.datacamp.com/community/news/pickle-in-python-object-serialization-6k4yuc17c6f

Discover the Python pickle module: learn about serialization, when (not) to use it, how to compress pickled objects, multiprocessing, and much more!

Pickle in Python: Object Serialization

https://www.datacamp.com/community/news/introduction-to-t-sne-37mveb9dgnx

In this tutorial, you’ll learn about the recently discovered Dimensionality Reduction technique known as t-Distributed Stochastic Neighbor Embedding (t-SNE).

Introduction to t-SNE

https://www.datacamp.com/community/news/joining-dataframes-in-pandas-k6ildi4ano

In this tutorial, you’ll learn various ways in which multiple DataFrames could be merged in python using Pandas library.

Joining DataFrames in Pandas

https://www.datacamp.com/community/news/combat-the-world-of-machine-learning-by-choosing-these-top-5-career-pa-8yvpn5azdk

Machine learning jobs has been considered as one of the most sought after jobs by most industries. The job role such as ML engineer offers lucrative salary packages with a promising career.

Combat the World of Machine Learning by Choosing These Top 5 Career Pa

https://www.datacamp.com/community/news/deploy-your-facebook-messenger-bot-with-python-zl6te79oprc

A step-by-step guide to easily deploying a Facebook Messenger chatbot with Python, using Flask, requests and ngrok.

Deploy Your Facebook Messenger Bot with Python

https://www.datacamp.com/community/news/python-and-r-pr611ymshbh

Learn how to use Python and R in conjunction with each other to utilize the best of both in a single data science project.

python and R    

https://www.datacamp.com/community/news/why-neuro-symbolic-ai-is-the-future-of-ai-heres-how-it-works-ks9wcpt78jm

David Cox, Director of MIT-IBM Watson AI lab says, “It’s time to reinvent artificial intelligence.” And, according to him, neuro-symbolic AI is the answer. Coming together of neural AI with symbolic AI leads to an ecstatic combination of — learning and logic.

Why Neuro-symbolic AI is the future of AI: Here’s how it works

https://www.datacamp.com/community/news/market-basket-analysis-in-r-ui5uuml9r5d

Learn about Market Basket Analysis & the APRIORI Algorithm that works behind it. You'll see how it is helping retailers boost business by predicting what items customers buy together.

Market Basket Analysis in R

https://www.datacamp.com/community/news/generate-datasets-with-trumania-32asb0x7hix

Why do data scientists and data engineers work with synthetic data? How do they obtain it? Discover Trumania, a scenario-based random dataset generator library.

Generate Datasets with Trumania

https://www.datacamp.com/community/news/a-look-into-ubers-futuristic-self-driving-cars-technology-qc3mfy6yte

Earlier this year, Uber’s ATG (Advanced Technologies Group) and Data Visualization teams teamed up to improve the performance of self-driving vehicles. Uber isn’t the only one on a fast-sprint in this race to the future. But it has outdone its competitors by leaps and bounds. ARTiBA has tried to dec

A Look into Uber’s Futuristic Self-Driving Cars Technology

https://www.datacamp.com/community/news/silq-a-new-high-level-programming-language-for-quantum-computing-prn5b8899ml

Quantum computing represents the next stage in the development from classical computing. The latter encodes information as a series of 0s and 1s, while a qubit (from quantum computers) could be a 0, 1, or both at a time. Quantum computers use entangled quantum states with overlapping information bit

Silq – A New High Level Programming Language for Quantum Computing

https://www.datacamp.com/community/news/list-of-applications-where-web-scraping-plays-a-massive-role-vnljkw9na3

Web scraping typically extracts large amounts of data from websites for a variety of uses such as price monitoring, enriching #machinelearning models, #financial #data aggregation, monitoring consumer sentiment, news tracking, etc. Browsers show data from a website. However, manually copy data from 

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