Analytics Vidhya

OCTOBER 23, 2021

This article was published as a part of the Data Science Blogathon This article was published as a part of the Data Science Blogathon Synopsis of Time Series Analysis A Time-Series represents a series of time-based orders. It would be Years, Months, Weeks, Days, Horus, Minutes, and Seconds A time series is an observation […]. The post A Comprehensive Guide to Time Series Analysis appeared first on Analytics Vidhya.

Data Science 391

Data Science Publishing Analytics IT 391

Smart Data Collective

OCTOBER 23, 2021

Satoshi Nakamoto introduced the world to bitcoin in 2008. Many people speculated that the virtual currency would never gain traction and become extinct. However, it has grown faster than even some of the staunchest supporters originally predicted. Advances in AI and machine learning technology have been important in setting the trend for bitcoin. It’s been over a decade since the cryptocurrencies were introduced to the world and since it has become increasingly popular.

Machine Learning 131

Machine Learning Cost-Benefit Technology Forecasting 131

Analytics Vidhya

OCTOBER 23, 2021

This article was published as a part of the Data Science Blogathon Overview In this article, we will be using OpenCV and dlib to extract faces from a given image and then we will try to mesh both the faces. In short, we will try to mesh the faces from two different images. We will […]. The post Face Mesh Application using OpenCV and dlib appeared first on Analytics Vidhya.

Data Science 376

Data Science Publishing Analytics 376

Smart Data Collective

OCTOBER 23, 2021

Data science careers used to be extremely selective and only those with certain types of traditional credentials were ever considered. While some might suggest that this discouraged those with hands-on experience from ever breaking into the field, it did at least help some companies glean a bit of information about potential hires. Now, however, an increasingly large number of people breaking into the field of data sciences actually aren’t themselves scientists.

Data Science 119

Data Science Manufacturing Marketing Visualization 119

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Analytics Vidhya

OCTOBER 23, 2021

This article was published as a part of the Data Science Blogathon Introduction Autoencoders are unstructured learning models that utilize the power of neural networks to perform the task of representation learning. In the context of machine learning, representation learning means embedding the components and features of original data in some low-dimensional structure for better […].

Machine Learning 353

Machine Learning Data Science Publishing Modeling 353