Analytics Vidhya

AUGUST 28, 2021

This article was published as a part of the Data Science Blogathon We are using Jupyter notebook to run our code. We suggest following this tutorial on Google Colaboratory. You can check out this link for more info about its usage. To follow through this tutorial prior knowledge of PyTorch and python programming is assumed. No […]. The post Linear Regression and Gradient Descent in PyTorch appeared first on Analytics Vidhya.

Data Science 371

Data Science Publishing Analytics IT 371

Smart Data Collective

AUGUST 28, 2021

Data lakes and data warehouses are probably the two most widely used structures for storing data. In this article, we will explore both, unfold their key differences and discuss their usage in the context of an organization. Data Warehouses and Data Lakes in a Nutshell. A data warehouse is used as a central storage space for large amounts of structured data coming from various sources.

Data Lake 139

Data Lake Data Warehouse Unstructured Data Structured Data 139

Analytics Vidhya

AUGUST 28, 2021

This article was published as a part of the Data Science Blogathon “IF YOU ARE NOT TAKING CARE OF YOUR CUSTOMERS, YOUR COMPETITOR WILL” – Bob Hooey Overview: Customer Lifetime Value is the profit that a business will make from a specific customer over the period of their association with the business. Every industry has […].

Measurement 359

Measurement Data Science Publishing Analytics 359

Analytics Vidhya

AUGUST 28, 2021

This article was published as a part of the Data Science Blogathon TABLE OF CONTENTS Introduction Understanding BERT What is Bert Difference From Word2Vec BERT Training BERT Model Variations Implementing BERT in Tensorflow Downloading Model Creating Data Preprocessing Input Encoding To Create Embeddings Understanding Embeddings(using keys) Conclusion References As one can see it will be a […].

Modeling 331

Modeling Data Science Publishing Analytics 331

Speaker: David Bard, Principal at VP Product Coaching

In the fast-paced world of digital innovation, success is often accompanied by a multitude of challenges - like the pitfalls lurking at every turn, threatening to derail the most promising projects. But fret not, this webinar is your key to effective product development! Join us for an enlightening session to empower you to lead your team to greater heights.

Management

Analytics Vidhya

AUGUST 28, 2021

This article was published as a part of the Data Science Blogathon Overview: Machine Learning (ML) and data science applications are in high demand. When ML algorithms offer information before it is known, the benefits for business are significant. Integrating machine learning algorithms for inference into production systems is a technological barrier.

Predictive Modeling 331

Predictive Modeling Modeling Machine Learning Data Science 331

Analytics Vidhya

AUGUST 28, 2021

This article was published as a part of the Data Science Blogathon Introduction The realities of the modern world are such that the analyst increasingly has to resort to the help of the latest machine learning algorithms to identify certain deviations in the operation of the system under study. The most in-demand are computer vision algorithms […].

Machine Learning 305

Machine Learning Data Science Publishing Analytics 305