Understanding Principal Component Analysis is of paramount importance for any aspiring Data Scientist/Analyst. In-depth understanding of PCA helps in the implementation of effective dimensionality reduction and to build the foundation for development and understanding of other advanced and modern techniques.
Data Science was called “The sexiest work of the 21st Century” by the Harvard Review. Dimensionless Tech offers the finest online data science course and big data coaching to meet the requirement, offering extensive course coverage.
If you look closely, results by FaceApp are much more realistic as compared to its image filter based counterparts in the Snapchat and Instagram. So what has FaceApp done which Snapchat and Instagram could not? We will try to answer this question in this blog.
The flux of data is increasing exponentially in this age of Digital awakening. Data has become so important to major industries and sectors around the globe that it can literally be referred to as digital gold! From simple company centric applications to major...
Reports suggest that around 2.5 quintillion bytes of data are generated every single day. As the online usage growth increases at a tremendous rate, there is a need for immediate Data Science professionals who can clean the data, obtain insights from it,...
Neural networks are often described as universal function approximators. Given an appropriate architecture, these algorithms can learn almost any representation. Consequently, many interesting tasks have been implemented using Neural Networks - Image classification,...
Introduction AI is revolutionizing the world. Face recognition is one such spectrum of it. Almost most of us use face recognition systems. They are everywhere. One can find them in devices like our mobile or platforms like Facebook or applications like Photo gallery...
Introduction Data visualization is an important component of many company approaches due to the growing information quantity and its significance to the company. In this blog, we will be understanding in detail about visualisation in Big Data. Furthermore, we will be...
Introduction The growth of data and its generation speed has been increasing exponentially since the last decade. According to reports, more than 3 quintillion bytes of data is generated per day! This has resulted in the formation of totally new and versatile...
Introduction One of the most difficult tasks in Big data is to select an apt programming language for its applications. Most data scientists prefer R and Python for all the data processing and all the machine learning tasks whereas for all the Hadoop developers, Java,...