To build data-heavy applications like ML algorithms, generating synthetic data has become an essential skill set that a data scientist must possess
Data is the new oil” is a maxim we have heard far too often. Data indeed has massive potential in the information economy and can bring tremendous value if made available in an accurate and timely manner. However, many barriers arise while using data for real-world applications: Sometimes, access is restricted; other times, there is not enough data available to get good results. Many times, the quality of the data is not up to the mark.
In Conversation With Dr Suman Sanyal, NIIT University,he shares his insights on how universities can contribute to this highly promising sector and what aspirants can do to build a successful data science career.
5 stages of learning Data Science and how to ace each of them
Most popular Data Science and Machine Learning courses — August 2020. This list was last updated in August 2020 — and will be updated regularly so as to keep it relevant
A couple of days ago I started thinking if I had to start learning machine learning and data science all over again where would I start?
Learning is a new fun in the field of Machine Learning and Data Science. In this article, we’ll be discussing 15 machine learning and data science projects.