Businesses are using Data science in exciting and creative ways. This blog talks about how Netflix is leveraging Data Science and Machine learning. Do you know yet? Let's find out the article now
Industries are using Data science in exciting and creative ways. Data Science is turning up in unexpected places improving the efficiency of various sectors. It is powering up human decision making and impacting the top and bottom lines of the business like never before. Industries are delighting millions of customers by powering up their applications with data science and machine learning.
This blog series aims to talk about interesting applications of data science and machine learning in various companies. A company will be spotlighted in each blog post. This blog series will talk about how companies like Google, Apple, LinkedIn, Uber, Instagram, Twitter, Instacart, Netflix, Washington post, Quora, Pinterest, Amazon, Medium, Microsoft, etc. are leveraging Data Science and Machine learning to power their businesses. So, let us start this series with ‘Netflix’.
Many professionals and 'Data' enthusiasts often ask, “What's the difference between Data Science, Machine Learning and Big Data?”. Let's clear the air. If you are still wondering about it then this article is for you.
In the digital era that we live in, data has become the biggest and most valuable asset for most organisations. Data is rapidly transforming the way we live and communicate, and it is by collecting, sorting and studying this data, that organisations across the world are looking for ways to impact their bottom lines. In this post, we'll learn Data Science vs Big Data: Difference Between Data Science & Big Data.
This "Deep Learning vs Machine Learning vs AI vs Data Science" video talks about the differences and relationship between Artificial Intelligence, Machine Learning, Deep Learning, and Data Science.
Artificial Intelligence, Machine Learning, and Data Science are amongst a few terms that have become extremely popular amongst professionals in almost all the fields.
Everything we do generates Data, therefore we are Data Agents. The question is: how we can benefit from this huge amount of data generated every day?. This post Get Started With Big Data Analytics For Your Business