Analytics Vidhya

DECEMBER 3, 2021

This article was published as a part of the Data Science Blogathon. [link] Overview In this article, we will detail the need for data scientists to quickly develop a Data Science App, with the objective of presenting to their users and customers, the results of Machine Learning experiments. We have detailed a roadmap for the […]. The post Building an End- to-End Data Science App with Python appeared first on Analytics Vidhya.

Data Science 400

Data Science Machine Learning Publishing Analytics 400

KDnuggets

DECEMBER 3, 2021

If you are early in your journey to becoming a Data Scientist, an interesting option is to earn certification by DataCamp, and this guide offers tips that will help beginners complete the challenges.

Data Science 159

Data Science 159

Analytics Vidhya

DECEMBER 3, 2021

This article was published as a part of the Data Science Blogathon. Are you fed up with waiting in long lines to speak with a customer support representative? Can you recall the last time you interacted with customer service? There’s a chance you were contacted by a bot rather than human customer support professional. We […]. The post Creating ChatBot Using Natural Language Processing in Python appeared first on Analytics Vidhya.

Interactive 400

Interactive Data Science Publishing Analytics 400

Smart Data Collective

DECEMBER 3, 2021

Are you looking to get a job in big data? That could be a wise career move. The Bureau of Labor Statistics reports that there were over 31,000 people working in this field back in 2018. The median annual wage is $118,370. However, it is not easy to get a career in big data. You need to know a lot about machine learning to land a job. You will need to make sure that you can answer machine learning interview questions before you can get a job offer.

Machine Learning 113

Machine Learning Data Science Internet of Things Big Data 113

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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

DECEMBER 3, 2021

This article was published as a part of the Data Science Blogathon Table of Contents Overview What is Regression? Independent Variables Dependent Variables Linear Regression The Equation of a Linear Regression Types of Linear Regression Simple Linear Regression Multiple Linear Regression How is a simple linear equation used in the ML Linear Regression algorithm?

Modeling 394

Modeling Data Science Publishing Analytics 394

KDnuggets

DECEMBER 3, 2021

This article explores Meta-Learning for Key phrase Extraction, which delves into the how and why of KeyPhrase Extraction (KPE) - extracting phrases/groups of words from a document to best capture and represent its content. The article outline what needs to be done to build a keyphrase extractor that performs well not only on in-domain data, but also in a zero-shot scenario where keyphrases need to be extracted from data that have a different distribution (either a different domain or a different

IT 140

IT Analytics 140

Cloudera

DECEMBER 3, 2021

In part 1 of this blog post, we discussed the need to be mindful of data bias and the resulting consequences when certain parameters are skewed. Surely there are ways to comb through the data to minimise the risks from spiralling out of control. We need to get to the root of the problem. In 2019, the Gradient institute published a white paper outlining the practical challenges for Ethical AI.

Uncertainty 98

Uncertainty Measurement Metrics Modeling 98

Analytics Vidhya

DECEMBER 3, 2021

This article was published as a part of the Data Science Blogathon. Cryptocurrencies are digital tokens that can easily replace traditional currency in the future. Easy access is the reason they are becoming so popular so fast. Almost anyone can own these coins and are accepted as payment just like traditional currency. The blockchain technology […].

Modeling 353

Modeling Data Science Publishing Technology 353

KDnuggets

DECEMBER 3, 2021

PyCaret’s new time series module is now available in beta. Staying true to the simplicity of PyCaret, it is consistent with the existing API and comes with a lot of functionalities.

IT 91

IT Machine Learning 91

Analytics Vidhya

DECEMBER 3, 2021

This article was published as a part of the Data Science Blogathon. Artificial Neural Networks can be used to solve a wide variety of problems. Keras is an open-source library that can be used to implement artificial neural networks in Keras. Keras has all the major features required to build and train artificial neural networks. […]. The post Bank Note Authentication using Keras Sequential Model appeared first on Analytics Vidhya.

Modeling 353

Modeling Data Science Publishing Analytics 353

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

DECEMBER 3, 2021

If you are early in your journey to becoming a Data Scientist, an interesting option is to earn certification by DataCamp, and this guide offers tips that will help beginners complete the challenges.

Data Science 82

Data Science 82

Analytics Vidhya

DECEMBER 3, 2021

This article was published as a part of the Data Science Blogathon. Introduction In this article, I will explain to you how will we use Django Framework for creating some really exciting data science projects in Windows Machine. I will show you the complete procedure to create a website and also integrate a machine learning […]. The post Using Django Framework For Making Exciting Data Science Projects – An Example Use Case appeared first on Analytics Vidhya.

Data Science 352

Data Science Machine Learning Publishing Analytics 352

Domino Data Lab

DECEMBER 3, 2021

Whether you are a machine learning enthusiast, or a ninja data scientist training models for all sorts of applications, you may have heard of the need to use graphical processing units (GPUs) , to squeeze the best performance when training and scaling your models. This may be summarized by saying that training tasks based on small datasets that take a few minutes to complete on a CPU may take hours, days, or even weeks when moving to larger datasets if a GPU is not used.

Machine Learning 72

Machine Learning Deep Learning Modeling 72

Analytics Vidhya

DECEMBER 3, 2021

This article was published as a part of the Data Science Blogathon. Introduction In this article, I will attempt to explain all of the ideas that you should be familiar with about databases. As we all know, while working on a Data Science, Machine Learning, Deep Learning, or another project, the most important element is […]. The post Want to Survive in Data Science: Understand the Basics of Relational Databases appeared first on Analytics Vidhya.

Data Science 346

Data Science Deep Learning Machine Learning Publishing 346

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

Dataiku

DECEMBER 3, 2021

It’s no secret that a move to sustainability is at the top of the to-do list across all industries. From ESG and net-zero initiatives to a low carbon economy shift, it is evident that the integration of sustainable practices into everyday business practices is now a necessity.

Analytics 59

Analytics IT 59

Ontotext

DECEMBER 3, 2021

ONTOTEXT ANSWER: Query optimization can be quite problematic. Performance depends on a lot of factors and it’s difficult to give a one-size-fits-all response. We’ll try to give a few helpful pointers. Inference vs querying. As a forward-chaining database , GraphDB materializes triples at load time. If you know you have a complex statement pattern that you will be querying often, why not precompute it with inference?

Optimization 52

Optimization Measurement IT 52

Jet Global

DECEMBER 3, 2021

The term “ business intelligence ” (BI) has been in common use for several decades now, referring initially to the OLAP systems that drew largely upon pre-processed information stored in data warehouses. As technology has evolved, BI has grown steadily more powerful, affordable, and accessible. It is able to draw from a broader array of data stores, including traditional relational databases, robust data warehouses, and cloud-based data lakes.

Business Intelligence 52

Business Intelligence Sales OLAP Data Warehouse 52

Jet Global

DECEMBER 3, 2021

The accumulation of tasks and activities around the month-end close is a well-known accounting phenomenon. FSN’s recent research, “Agility in Financial Reporting and Consolidation,” calls it the Month-End Mountain, reflecting the strenuous climb that finance professionals experience every month just to get on top of their workload. Ironically, just at the point in time when well qualified personnel should be applying their experience and technical skills to quickly dispatch statutory filings and

Reporting 52

Reporting Recreation/Entertainment Finance Software 52

Speaker: Kevin Kai Wong, President of Emergent Energy Solutions

In today's industrial landscape, the pursuit of sustainable energy optimization and decarbonization has become paramount. Manufacturing corporations across the U.S. are facing the urgent need to align with decarbonization goals while enhancing efficiency and productivity. Unfortunately, the lack of comprehensive energy data poses a significant challenge for manufacturing managers striving to meet their targets.

Manufacturing