Tue.Jul 12, 2022

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20 Most Asked Interview Questions of Python

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Python is a general-purpose and interpreted programming language. It can be used to create a Web application and is widely used in Artificial Intelligence. Due to the implementation of machine learning and deep learning models, it has become the language of demand […].

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8 servant leadership do’s and don’ts

CIO Business Intelligence

Servant leadership has emerged as a popular management method that replaces command-and control-style leadership with empathy and empowerment. The management approach prioritizes the growth, well-being, and empowerment of employees. It aims to foster an inclusive environment that enables everyone in the organization to thrive as their authentic self.

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IoT-based Robotic Solutions for Hospital Assistance

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction In the present situation, the coronavirus (COVID-19) pandemic is putting even the best hospitals worldwide under tremendous pressure. With rapid development in the field of robotics and automation, there have been intelligent systems that can play a crucial role in reducing the […].

IoT 381
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HR Analytics is the Basis of New Workforce Management Software

Smart Data Collective

Data analytics technology has helped many employers boost productivity and increase employee morale. Markets and Markets projects that companies around the world will spend over $3.6 billion on HR analytics by 2024. The sudden interest in data analytics in the human resource management profession are obvious. McKinsey has an entire study published on the merits of using analytics to improve the dynamics of the workplace.

Software 127
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Get Better Network Graphs & Save Analysts Time

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.

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Bar Racing Advance Charts with Plotly

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Image Courtesy: Bar Chart Animation with Plotly library Introduction We all love animation! We can update our photos on Instagram, Facebook, or any other social media platform with just a click. We live in a big data era where everything is a click […]. The post Bar Racing Advance Charts with Plotly appeared first on Analytics Vidhya.

Big Data 271
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3 things you didn’t know about the SAS Academy for Data Science

KDnuggets

The SAS Academy for Data Science is one of many paths to becoming a data scientist. It is designed for those who have a background in programming and mathematics, who want to upskill as part of a career change or those who want to gain the hands-on practical skills that can advance your professional growth and experience with SAS and data science.

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Linear Algebra for Data Science

KDnuggets

In this article, we discuss the importance of linear algebra in data science and machine learning.

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The Case for Reproducible Data Science | Domino Data Lab

Domino Data Lab

Reproducibility is a cornerstone of the scientific method and ensures that tests and experiments can be reproduced by different teams using the same method. In the context of data science , reproducibility means that everything needed to recreate the model and its results such as data, tools, libraries, frameworks, programming languages and operating systems, have been captured, so with little effort the identical results are produced regardless of how much time has passed since the original pro

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Data Preparation and Raw Data in Machine Learning

KDnuggets

In this article, I will describe the data preparation techniques for machine learning.

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Pace of Tech Demands a Smarter Learning Approach. Bring On Community-Driven Learning

CIO Business Intelligence

Companies typically face three big problems in managing their skills base: Normal learning approaches require too much time to scale up relevant knowledge. Hiring for new skills is expensive and also too slow. And skills from new hires are rarely properly shared. Businesses of all types have fought to solve these problems. Some conduct ever more advanced offsite or onsite seminars and training – but these are costly, take time, and don’t adapt fast enough to incoming needs of the business and te

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Understanding User Needs and Satisfying Them

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.

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The 5 Biggest Data Time Sinks

Dataiku

This article was written by a guest author, Bunmi Akinremi. Bunmi is a data scientist and Android developer. She's passionate about using AI to build apps with better user experiences. Bunmi is also interested in leveraging AI to solve environmental problems, such as plastic pollution in the oceans.

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Flexential – Providing Enterprises with the Interconnected Data Center and Hybrid Cloud Solutions They Need

CIO Business Intelligence

The pace of business is accelerating. Enterprises today require the robust networks and infrastructure required to effectively manage and protect an ever-increasing volume of data. They must also deliver the speed and low-latency great customer experiences require in an era marked by dramatic innovations in edge computing, artificial intelligence, machine learning, the Internet of Things, unified communications, and other singular computing trends now synonymous with business success.

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Scaling One Peak After Another

Cloudera

Cloudera has appointed Remus Lim as vice president of Asia Pacific and Japan, to drive adoption of the hybrid data platform across the region and support customers in their journey to become more data-driven. We’ve asked him to share his vision for Cloudera in APAC and reflect on his past few months since taking up the mantle. What drew you to the tech space and attracted you to the roles you’ve held?

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8 Best Practices for On-Premises to Cloud Migration

Alation

Many things have driven the rise of the cloud data warehouse. The cloud can deliver myriad benefits to data teams, including agility, innovation, and security. With a cloud environment, departments can adopt new capabilities and speed up time to value. More users can access, query, and learn from data, contributing to a greater body of knowledge for the organization.

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Beyond the Basics of A/B Tests: Highly Innovative Experimentation Tactics You Need to Know

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.