KDnuggets
MAY 30, 2022
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.
Analytics Vidhya
MAY 29, 2022
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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Dataconomy
MAY 31, 2022
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.
Smart Data Collective
JUNE 1, 2022
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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Generative AI is upending the way product developers & end-users alike are interacting with data. Despite the potential of AI, many are left with questions about the future of product development: How will AI impact my business and contribute to its success? What can product managers and developers expect in the future with the widespread adoption of AI?
KDnuggets
MAY 30, 2022
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.
Analytics Vidhya
MAY 28, 2022
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.
Data Science Current brings together the best content for data science professionals from the widest variety of thought leaders.
Smart Data Collective
MAY 31, 2022
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?
KDnuggets
JUNE 1, 2022
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.
Analytics Vidhya
JUNE 3, 2022
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?
Dataconomy
MAY 30, 2022
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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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.
Smart Data Collective
MAY 29, 2022
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.
KDnuggets
JUNE 1, 2022
Join the best data science professional groups on LinkedIn to share insights and experiences, ask for guidance, and build valuable connections.
Analytics Vidhya
MAY 28, 2022
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.
Dataconomy
MAY 31, 2022
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.
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.
Smart Data Collective
JUNE 1, 2022
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.
KDnuggets
JUNE 3, 2022
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.
Analytics Vidhya
JUNE 3, 2022
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.
Dataconomy
JUNE 1, 2022
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.
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.
DataRobot Blog
JUNE 1, 2022
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.
KDnuggets
JUNE 1, 2022
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.
Analytics Vidhya
MAY 28, 2022
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.
Smart Data Collective
JUNE 2, 2022
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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Start-ups & SMBs launching products quickly must bundle dashboards, reports, & self-service analytics into apps. Customers expect rapid value from your product (time-to-value), data security, and access to advanced capabilities. Traditional Business Intelligence (BI) tools can provide valuable data analysis capabilities, but they have a barrier to entry that can stop small and midsize businesses from capitalizing on them.
The Data Administration Newsletter
MAY 31, 2022
Synthetic Data is, according to Gartner and other industry oracles, “hot, hot, hot.” In fact, according to Gartner, “60 percent of the data used for the development of AI and analytics projects will be synthetically generated.”[1] I had never heard about synthetic data until I listened to the AI Today podcast, hosted by Kathleen Welch […].
KDnuggets
MAY 30, 2022
Get into the highly in-demand world of data engineering for free and earn 6 figures salary.
Analytics Vidhya
MAY 29, 2022
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.
Smart Data Collective
MAY 31, 2022
Machine learning and artificial intelligence (AI) have certainly come a long way in recent times. Towards Data Science published an article on some of the biggest developments in machine learning over the past century. One of the most remarkable changes has been the Named Entity Recognition tool, which can differentiate between the capitalization rules of German and English.
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.
FlowingData
JUNE 2, 2022
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.
KDnuggets
MAY 30, 2022
Interested in a survey of important database concepts and terminology? This post concisely defines 16 essential database key terms.
Analytics Vidhya
JUNE 1, 2022
“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 […].
Smart Data Collective
MAY 28, 2022
Small businesses are facing more challenges than ever. The recent economic crisis is not showing any signs of abating any time soon. Fortunately, companies can use big data to optimize their business models. The average company receives $10.66 for every $1 they invest in data analytics. This is a stunning ROI. One of the most important ways for brands to improve their profitability with data analytics is through conversion rate optimization.
Speaker: Anne Steiner and David Laribee
As a concept, Developer Experience (DX) has gained significant attention in the tech industry. It emphasizes engineers’ efficiency and satisfaction during the product development process. As product managers, we need to understand how a good DX can contribute not only to the well-being of our development teams but also to the broader objectives of product success and customer satisfaction.
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