Analytics Vidhya

NOVEMBER 25, 2021

This article was published as a part of the Data Science Blogathon. Overview for Deep Learning for Emojis Nowadays, we are using several emojis or avatars to show our moods or feelings. They act as nonverbal cues of humans. They become the crucial part of emotion recognition, online chatting, brand emotion, product review, and a […]. The post Deep Learning to Create your Emoji appeared first on Analytics Vidhya.

Deep Learning 386

Deep Learning Data Science Publishing Analytics 386

KDnuggets

NOVEMBER 25, 2021

You can call Mito into your Jupyter Environment and each edit you make will generate the equivalent Python in the code cell below.

148

148

Analytics Vidhya

NOVEMBER 25, 2021

This article was published as a part of the Data Science Blogathon. There is a wide variety of data available on the internet. Data can be numbers, images, text, audio, and son. The vast amount of data available online and generated is vast. The vast amount of text data can be overwhelming to analyze and […]. The post Pattern Library for Natural Language Processing in Python appeared first on Analytics Vidhya.

Data Science 382

Data Science Publishing Analytics 382

KDnuggets

NOVEMBER 25, 2021

A classic KDnuggets Thanksgiving cartoon examines the predicament of one group of fowl Data Scientists.

Data Science 142

Data Science 142

Advertisement

Many organizations today are unlocking the power of their data by using graph databases to feed downstream analytics, enahance visualizations, and more. Yet, when different graph nodes represent the same entity, graphs get messy. Watch this essential video with Senzing CEO Jeff Jonas on how adding entity resolution to a graph database condenses network graphs to improve analytics and save your analysts time.

Visualization

Analytics Vidhya

NOVEMBER 25, 2021

This article was published as a part of the Data Science Blogathon. Introduction We will learn how to do stemming in Python using the NLTK package for our NLP project in this lesson. We shall provide an overview of stemming and trace its history. Finally, we will discuss several kinds of stemmers and various applications […]. The post An Introduction to Stemming in Natural Language Processing appeared first on Analytics Vidhya.

Data Science 322

Data Science Publishing Analytics IT 322

KDnuggets

NOVEMBER 25, 2021

Find out the major differences between a Data Analyst and a Data Scientist, and read the author's pointers on what they would recommend you to do if you wish to make that transition from Data Analyst to Data Scientist.

Data Science 111

Data Science Data Analytics Analytics 111

Ontotext

NOVEMBER 25, 2021

In our previous blog post of the series, we covered how to ingest data from different sources into GraphDB , validate it and infer new knowledge from the extant facts. Today we’ll deal with the big issue of scaling, tackling it on two sides: what happens when you have more and faster sources of data? And what happens when you want more processing power and more resilient and available data?

Visualization 98

Visualization Interactive Data-driven Enterprise 98

Cloudera

NOVEMBER 25, 2021

Advances in the performance and capability of Artificial Intelligence (AI) algorithms has led to a significant increase in adoption in recent years. In a February 2021 report by IDC, they estimate that world-wide revenues from AI will grow by 16.4% in 2021 to USD $327 billion. Furthermore, AI adoption is becoming increasingly widespread and not just concentrated within a small number of organisations.

Insurance 94

Insurance Machine Learning Deep Learning Reporting 94

Smart Data Collective

NOVEMBER 25, 2021

Data privacy concerns have become greater than ever in recent years. One recent study from the University of Maryland found that there is a data breach every 39 seconds. The threat of data breaches has become a lot greater in recent years as more businesses and consumers become dependent on big data. The proliferation of big data has made digital privacy concerns much more significant.

Big Data 97

Big Data Risk Data-driven ROI 97

DataCamp

NOVEMBER 25, 2021

Looking to break into data science? Find out how to get started on your data science journey and what types of opportunities are available today.

Data Science 96

Data Science 96

Speaker: Scott Sehlhorst

We know we want to create products which our customers find to be valuable. Whether we label it as customer-centric or product-led depends on how long we've been doing product management. There are three challenges we face when doing this. The obvious challenge is figuring out what our users need; the non-obvious challenges are in creating a shared understanding of those needs and in sensing if what we're doing is meeting those needs.

Management

KDnuggets

NOVEMBER 25, 2021

Find out the major differences between a Data Analyst and a Data Scientist, and read the author's pointers on what they would recommend you to do if you wish to make that transition from Data Analyst to Data Scientist.

Data Science 83

Data Science Data Analytics Analytics 83

Data Virtualization

NOVEMBER 25, 2021

The market for data lakes has recently seen an impressive wave of new-generation engines that provide highly efficient processing of very large data volumes stored in distributed file systems, like S3, ADLS and others. With low cost of storage in. The post Build a cost-efficient data lake strategy with The Denodo Platform appeared first on Data Virtualization blog.

Data Lake 52

Data Lake Strategy Marketing Optimization 52

KDnuggets

NOVEMBER 25, 2021

You can call Mito into your Jupyter Environment and each edit you make will generate the equivalent Python in the code cell below.

70

70

Data Virtualization

NOVEMBER 25, 2021

The market for data lakes has recently seen an impressive wave of new-generation engines that provide highly efficient processing of very large data volumes stored in distributed file systems, like S3, ADLS and others. With low cost of storage in. The post Build a cost-efficient data lake strategy with The Denodo Platform appeared first on Data Virtualization blog.

Data Lake 52

Data Lake Strategy Marketing Optimization 52

Speaker: Timothy Chan, PhD., Head of Data Science

Are you ready to move beyond the basics and take a deep dive into the cutting-edge techniques that are reshaping the landscape of experimentation? 🌐 From Sequential Testing to Multi-Armed Bandits, Switchback Experiments to Stratified Sampling, Timothy Chan, Data Science Lead, is here to unravel the mysteries of these powerful methodologies that are revolutionizing how we approach testing.

Experimentation

KDnuggets

NOVEMBER 25, 2021

A classic KDnuggets Thanksgiving cartoon examines the predicament of one group of fowl Data Scientists.

Data Science 68

Data Science 68

Cloudera

NOVEMBER 25, 2021

As data continues to grow at an exponential rate, our customers are increasingly looking to advance and scale operations through digital transformation and the cloud. These modern digital businesses are also dealing with unprecedented rates of data volume, which is exploding from terabytes to petabytes and even exabytes which could prove difficult to manage.

Machine Learning 88

Machine Learning IoT Risk Digital Transformation 88