Sat.May 28, 2022 - Fri.Jun 03, 2022

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Top Posts May 23-29: The Complete Collection of Data Science Books – Part 2

KDnuggets

Also: Decision Tree Algorithm, Explained; Data Science Projects That Will Land You The Job in 2022; The 6 Python Machine Learning Tools Every Data Scientist Should Know About; Naïve Bayes Algorithm: Everything You Need to Know.

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Machine Learning Approach to Forecast Cars’ Demand

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction on Machine Learning Last month, I participated in a Machine learning approach Hackathon hosted on Analytics Vidhya’s Datahack platform. Over a weekend, more than 600 participants competed to build and improve their solutions and climb the leaderboard. In this article, I will […].

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The good, bad, and ugly sides of the cloud computing

Dataconomy

We’ve compiled a list of the pros and cons of cloud computing. You’re not alone if you’re thinking about using cloud storage in your business. Cloud storage has recently reached a point of popularity, with companies of all sizes embracing it. Do you want to learn the pros and cons.

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Why Are Organizations Focusing on Data Security?

Smart Data Collective

Data breaches are becoming more common than ever. The International Association of Privacy Professionals reports that there were 1,862 data breaches in 2021 alone. This figure is growing by the year. Organizations must make data security a top priority. Those that do not risk bankruptcy, as the costs of data breaches are horrifying. Rising Data Breaches Have Made Greater Data Security a Necessity.

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Optimizing The Modern Developer Experience with Coder

Many software teams have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth. This is where Coder comes in. In our 101 Coder webinar, you’ll explore how cloud-based development environments can unlock new levels of productivity. Discover how to transition from local setups to a secure, cloud-powered ecosystem with ease.

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How to Become a Machine Learning Engineer

KDnuggets

A machine learning engineer is a programmer proficient in building and designing software to automate predictive models. They have a deeper focus on computer science, compared to data scientists.

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Use of Date and Time Functions in SQL Server

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction on SQL Server Before going to our main concept, we must first learn about what are functions and then study the details of scalar functions in SQL Server. Function in SQL Server is a set of T-SQL statements that are used to […]. The post Use of Date and Time Functions in SQL Server appeared first on Analytics Vidhya.

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Examination of songs after virality on TikTok

FlowingData

Vox, in collaboration with The Pudding, looked at what happens when a song goes viral on TikTok. It heads down the TikTok-to-Spotify pipeline, which signals money to be made and draws labels to take advantage. Tags: music , Pudding , TikTok , viral , Vox.

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21 Cheat Sheets for Data Science Interviews

KDnuggets

This article has researched and presents the best data science cheat sheets from around the internet, so you don’t have to do it yourself.

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The DataHour: How to Transition into Data Science?

Analytics Vidhya

Dear Readers, I appreciate you coming onto our platform and expanding your knowledge. I am sure, by now, some of you must be interested to make a transition into the Data Science industry as it’s one of the most host-selling jobs (if we can put it that way :D). So, this DataHour session is dedicated […]. The post The DataHour: How to Transition into Data Science?

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Blockchain brings tough challenges befitting a revolution

Dataconomy

Blockchains have intrigued investors because they are a cutting-edge technology with the potential to reduce transaction costs significantly. Blockchains enable direct transactions among an indeterminate number of mutually untrusting users in a secure manner. As blockchain hype fades, other technology implementation issues are becoming clear. Let’s look at these difficulties.

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15 Modern Use Cases for Enterprise Business Intelligence

Large enterprises face unique challenges in optimizing their Business Intelligence (BI) output due to the sheer scale and complexity of their operations. Unlike smaller organizations, where basic BI features and simple dashboards might suffice, enterprises must manage vast amounts of data from diverse sources. What are the top modern BI use cases for enterprise businesses to help you get a leg up on the competition?

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Data Activation for Beginners: Everything You Need to Know

Smart Data Collective

Big data technology is having a huge impact on the state of modern business. The technology surrounding big data has evolved significantly in recent years, which means that smart businesses will have to take steps to keep up with it. One of the biggest breakthroughs for data-driven businesses has been the development of data activation. What is Data Activation?

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Top 18 Data Science Groups on LinkedIn

KDnuggets

Join the best data science professional groups on LinkedIn to share insights and experiences, ask for guidance, and build valuable connections.

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An End-to-end Guide on Anomaly Detection

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Anomaly is something that is not normal. Any data point which is placed at a distance from all normal data points is an anomaly. Hence anomalies are also called outliers. Anomaly detection is also called as deviation detection because anomalous objects have […]. The post An End-to-end Guide on Anomaly Detection appeared first on Analytics Vidhya.

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Your search for the best CRM solution for SMBs is now over

Dataconomy

Finding suitable CRM software for small business nowadays is no easy feat, with hundreds or even thousands of solutions to choose from. CRM software aids businesses in boosting sales, boosting development, and providing exceptional client experiences. There are a variety of CRM systems on the market, each with its own.

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Marketing Operations in 2025: A New Framework for Success

Speaker: Mike Rizzo, Founder & CEO, MarketingOps.com and Darrell Alfonso, Director of Marketing Strategy and Operations, Indeed.com

Though rarely in the spotlight, marketing operations are the backbone of the efficiency, scalability, and alignment that define top-performing marketing teams. In this exclusive webinar led by industry visionaries Mike Rizzo and Darrell Alfonso, we’re giving marketing operations the recognition they deserve! We will dive into the 7 P Model —a powerful framework designed to assess and optimize your marketing operations function.

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How Data Analytics can Help you Bolster Your Career Performance?

Smart Data Collective

What is data analytics? One of the most buzzing terminologies of this decade has got to be “data analytics.” Companies generate unlimited data every day, and there is no end to the data collected over time. This content can be in the form of log content, transactional content, social media data, and customer—related data. . Companies need all of this data in a structured manner to improve their decision—making capabilities.

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Five Signs of an Effective Data Science Manager

KDnuggets

In this article, we will go beyond the theoretical realm of what a data science manager does and focus more on how to become an “effective” data science manager.

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Use a Load Balancer on Google Cloud to Host Web Applications

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction What is a Load Balancer, and why do we need it? Load Balancer is a must component when we want to scale our systems horizontally. Horizontal scaling means the addition of extra servers and machines to the existing infrastructure so that it […]. The post Use a Load Balancer on Google Cloud to Host Web Applications appeared first on Analytics Vidhya.

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Easy guide: Cloud computing basics for beginners

Dataconomy

The cloud isn’t anything new, but as more organizations and businesses adopt cloud-based services, it’s critical to understand the subtleties of cloud computing language and ideas. It’s clear that technology is progressing at a breakneck speed, and many firms, big or little, are gradually moving to the cloud. Because of.

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Prepare Now: 2025s Must-Know Trends For Product And Data Leaders

Speaker: Jay Allardyce, Deepak Vittal, and Terrence Sheflin

As we look ahead to 2025, business intelligence and data analytics are set to play pivotal roles in shaping success. Organizations are already starting to face a host of transformative trends as the year comes to a close, including the integration of AI in data analytics, an increased emphasis on real-time data insights, and the growing importance of user experience in BI solutions.

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3 Agile Software Development Practices to Create AI Applications

Smart Data Collective

Artificial intelligence technology is becoming more important with each passing day. Companies in every industry from finance to manufacturing to hospitality are investing in AI to improve their business models. Companies around the world are projected to spend nearly $1.6 trillion on AI by 2030 , as they discover the countless benefits it offers. Software developers are taking advantage of the sudden booming market for AI.

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KDnuggets Top Posts for April 2022: 15 Python Coding Interview Questions You Must Know For Data Science

KDnuggets

Also: Python Libraries Data Scientists Should Know in 2022; The Complete Collection Of Data Repositories - Part 1; Top YouTube Channels for Learning Data Science; 7 Steps to Mastering SQL for Data Science; A Brief Introduction to Papers With Code.

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Modin: Expedite Your Pandas Code with Single Change

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction to Pandas Pandas is a python library that needs no introduction. Pandas provide an easier way to do preprocessing and analysis on our data. However, if we are working on a larger data, pandas takes too much time for data preprocessing. The […]. The post Modin: Expedite Your Pandas Code with Single Change appeared first on Analytics Vidhya.

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Election modeling explained

FlowingData

In election reporting, there’s a gap between real-time results and final results, so news orgs use statistical models to show where results appear to be headed. For The Washington Post, Adrian Blanco and Artur Galocha explain the basic concepts behind their model , using a fictional state called Voteland. Tags: election , modeling , Washington Post.

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The Cloud Development Environment Adoption Report

Cloud Development Environments (CDEs) are changing how software teams work by moving development to the cloud. Our Cloud Development Environment Adoption Report gathers insights from 223 developers and business leaders, uncovering key trends in CDE adoption. With 66% of large organizations already using CDEs, these platforms are quickly becoming essential to modern development practices.

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Cloud Automation Drives the Trend of E-Procurement Technology

Smart Data Collective

Cloud technology is becoming an increasingly important part of modern business. Global companies are projected to spend around $495 billion on cloud services this year. One of the biggest reasons cloud technology is becoming important is that it is helping companies make e-procurement possible. Cloud Automation Helps. Many offices have started taking their business practices remote and operating online.

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Database Key Terms, Explained

KDnuggets

Interested in a survey of important database concepts and terminology? This post concisely defines 16 essential database key terms.

Database 360
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Bet Wisely: Predicting the Scoreline of a Football Match using Poisson Distribution

Analytics Vidhya

“The biggest religion in the world is not even a religion.” – Fernando Torres Spanish footballing giant Sevilla FC together with FC Bengaluru United, one of India’s most exciting football teams have launched a Football Hackathon – Data-Driven Player Performance Assessment. This Hackathon will be a unique opportunity to effectively use data science in […].

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9 Great Reasons to Join the DataRobot AI Experience Virtual Event Jun 7-8

DataRobot Blog

Join DataRobot and leading organizations June 7 and 8 at DataRobot AI Experience 2022 (AIX) , a unique virtual event that will help you rapidly unlock the power of AI for your most strategic business initiatives. Showcasing the industry’s most innovative use of AI, this global event offers you the opportunity to learn from DataRobot data scientists—as well as AI pioneers from retailers like Shiseido Japan Co., Ltd., financial services and healthcare leaders, and the McLaren Formula 1 Team.

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How to Drive Cost Savings, Efficiency Gains, and Sustainability Wins with MES

Speaker: Nikhil Joshi, Founder & President of Snic Solutions

Is your manufacturing operation reaching its efficiency potential? A Manufacturing Execution System (MES) could be the game-changer, helping you reduce waste, cut costs, and lower your carbon footprint. Join Nikhil Joshi, Founder & President of Snic Solutions, in this value-packed webinar as he breaks down how MES can drive operational excellence and sustainability.

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Catching students cheating with R

FlowingData

Matthew Crump, a psychology professor who discovered high volume cheating in his class via WeChat, outlines the saga in five parts. Bonus points for use of R to analyze the evidence: I do a lot of teaching on using computational tools for reproducible data analysis. I can input some data and run it through a script for analysis. When the data changes I can run it through the same script and get the new analysis.

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Free Data Engineering Courses

KDnuggets

Get into the highly in-demand world of data engineering for free and earn 6 figures salary.

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Handling Imbalanced Data with Imbalance-Learn in Python

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Almost every data scientist must have encountered the data for which they need to perform imbalanced binary classification. Imbalanced data means the number of rows or frequency of data points of one class is much more than the other class. In other […]. The post Handling Imbalanced Data with Imbalance-Learn in Python appeared first on Analytics Vidhya.

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Best of Tableau Web: May 2022

Tableau

Christian Felix. Lead Solutions Engineer, Tableau. Bronwen Boyd. June 2, 2022 - 7:53pm. June 4, 2022. Reunions come in all shapes and sizes. Some are modestly anticipated or even awkwardly avoided (think: class reunions), while others draw us together from near and far to rekindle relationships, ignite new ones, and celebrate a common purpose. Tableau Conference 2022 was unmistakably the latter, as summed up by Sarah Bartlett , one of the many data lovers who attended TC22 in Las Vegas last mont

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Improving the Accuracy of Generative AI Systems: A Structured Approach

Speaker: Anindo Banerjea, CTO at Civio & Tony Karrer, CTO at Aggregage

When developing a Gen AI application, one of the most significant challenges is improving accuracy. This can be especially difficult when working with a large data corpus, and as the complexity of the task increases. The number of use cases/corner cases that the system is expected to handle essentially explodes. 💥 Anindo Banerjea is here to showcase his significant experience building AI/ML SaaS applications as he walks us through the current problems his company, Civio, is solving.