AI, Data Science and Analytics have gained a burst of hype over the last decade and for good reasons. However, compared to other IT and academic fields/courses, Data Science is not as concrete and clear-cut. But what was the reason for this sudden outburst of demand...
Roopam Upadhyay in talks with our expert Kushagra Singhania. About Roopam UpadhyayRoopam is a seasoned professional of advanced analytics with over 15 years of experience in machine learning, statistical modeling, data science,...
Big Data is the term that is circling everywhere in the field of analytics in the modern era. The rise of this term came about as the result of the enormous volume of unstructured data that is getting generated from a plethora of sources. Such voluminous unstructured...
Introduction Connecting our brains to the machine and saving memories for a lifetime was one of the tasks scientists have been chasing after for so long. But all this may come to life now! With Elon and his new venture of uniting man and machine together, Musk briefed...
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,...