Analytics Vidhya
SEPTEMBER 28, 2020
Overview Amazon Web Services (AWS) is the leading cloud platform for deploying machine learning solutions Every data science professional should learn how AWS works. The post What is AWS? Why Every Data Science Professional Should Learn Amazon Web Services appeared first on Analytics Vidhya.
BA Learnings
SEPTEMBER 26, 2020
According to a study conducted by IBM in 2012, companies that perform well tend to innovate their business models quite frequently, compared to underperformers. Innovation is essential to remaining competitive if a business is to stay afloat and remain relevant. History provides examples of companies that have lost out by missing out on opportunities to innovate – Think Motorola, Nokia, Lehman Brothers, Kodak, American Airlines – the list goes on.
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Analytics Vidhya
OCTOBER 1, 2020
Overview Feature engineering techniques are a must know concept for machine learning professionals Here are 7 feature engineering techniques you can start using right. The post 7 Feature Engineering Techniques in Machine Learning You Should Know appeared first on Analytics Vidhya.
Smart Data Collective
OCTOBER 1, 2020
Email has proven to be a remarkably resilient marketing medium. The ROI of email marketing can be up to 4,400%. However, email marketing is also rather complicated. Businesses that depend on email marketing need to take advantage of various types of technology to leverage it effectively. We have previously written about the benefits of data driven marketing , but wanted to focus more on the benefits of machine learning as well.
Advertiser: ZoomInfo
AI adoption is reshaping sales and marketing. But is it delivering real results? We surveyed 1,000+ GTM professionals to find out. The data is clear: AI users report 47% higher productivity and an average of 12 hours saved per week. But leaders say mainstream AI tools still fall short on accuracy and business impact. Download the full report today to see how AI is being used — and where go-to-market professionals think there are gaps and opportunities.
erwin
OCTOBER 1, 2020
The erwin WFH (Work From Home) Impact Manager is a remote-work app that provides visibility and intelligence to help remote workers be more productive and process-compliant. The global pandemic is the single most disruptive event in modern times. Almost overnight organizations across the globe faced lockdowns, forcing them to switch to a remote-first workforce.
Jedox
OCTOBER 1, 2020
We have been talking about a digital transformation in Finance for ages. Some have come far on the journey while others are still struggling. Having just gone through a severe crisis that saw everyone working remotely and using digital tools makes this transformation more relevant than ever. . Right now, we are looking at two almost extreme cases: On one hand, we are at a stage where the transformation can be completed because of all the tools are available.
Data Leaders Brief brings together the best content for data, strategy, and BI professionals from the widest variety of industry thought leaders.
Smart Data Collective
SEPTEMBER 27, 2020
We have talked extensively about the benefits of machine learning in the field of marketing. We pointed out that machine learning is actually driving the digital marketing revolution. However, the benefits of machine learning can be applied to the broader field of marketing as well. One of the most disruptive and beneficial applications of machine learning is with conversational intelligence.
Cloudera
SEPTEMBER 28, 2020
Cloudera delivers an enterprise data cloud that enables companies to build end-to-end data pipelines for hybrid cloud, spanning edge devices to public or private cloud, with integrated security and governance underpinning it to protect customers data. Cloudera has found that customers have spent many years investing in their big data assets and want to continue to build on that investment by moving towards a more modern architecture that helps leverage the multiple form factors.
BA Learnings
SEPTEMBER 26, 2020
According to a study conducted by IBM in 2012, companies that perform well tend to innovate their business models quite frequently, compared to underperformers. Innovation is essential to remaining competitive if a business is to stay afloat and remain relevant. History provides examples of companies that have lost out by missing out on opportunities to innovate – Think Motorola, Nokia, Lehman Brothers, Kodak, American Airlines – the list goes on.
Analytics Vidhya
SEPTEMBER 30, 2020
This article was published as a part of the Data Science Blogathon. Introduction The first step towards problem-solving in data science projects isn’t about. The post Hypothesis Generation for Data Science Projects – A Critical Problem Solving Step appeared first on Analytics Vidhya.
Speaker: Ben Epstein, Stealth Founder & CTO | Tony Karrer, Founder & CTO, Aggregage
When tasked with building a fundamentally new product line with deeper insights than previously achievable for a high-value client, Ben Epstein and his team faced a significant challenge: how to harness LLMs to produce consistent, high-accuracy outputs at scale. In this new session, Ben will share how he and his team engineered a system (based on proven software engineering approaches) that employs reproducible test variations (via temperature 0 and fixed seeds), and enables non-LLM evaluation m
Smart Data Collective
SEPTEMBER 28, 2020
The Defense Industrial Base (DIB) is always under constant ransomware attacks. The malicious actors behind these attacks often block access to sensitive government data, intellectual property, and even trade secrets until they get paid. This can potentially harm a government’s military capabilities and operations. According to the Symantec Internet Security Threat Report of 2016, governments’ growing dependence on information technology makes them vulnerable to ransomware attacks.
Cloudera
SEPTEMBER 29, 2020
Performance is one of the key, if not the most important deciding criterion, in choosing a Cloud Data Warehouse service. In today’s fast changing world, enterprises have to make data driven decisions quickly and for that they rely heavily on their data warehouse service. . In this blog post, we compare Cloudera Data Warehouse (CDW) on Cloudera Data Platform (CDP) using Apache Hive-LLAP to Microsoft HDInsight (also powered by Apache Hive-LLAP) on Azure using the TPC-DS 2.9 benchmark.
DataCamp
SEPTEMBER 28, 2020
We'll see more data work done in GUIs, via drag-and-drop and point-and-click interfaces.
Analytics Vidhya
OCTOBER 1, 2020
This article was published as a part of the Data Science Blogathon. Introduction Python is a truly wonderful programming language. Python’s flexibility has made. The post Introduction to Python Functions for Data Science Beginners appeared first on Analytics Vidhya.
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The DHS compliance audit clock is ticking on Zero Trust. Government agencies can no longer ignore or delay their Zero Trust initiatives. During this virtual panel discussion—featuring Kelly Fuller Gordon, Founder and CEO of RisX, Chris Wild, Zero Trust subject matter expert at Zermount, Inc., and Principal of Cybersecurity Practice at Eliassen Group, Trey Gannon—you’ll gain a detailed understanding of the Federal Zero Trust mandate, its requirements, milestones, and deadlines.
Smart Data Collective
OCTOBER 1, 2020
We have talked about some of the biggest ways that big data has influenced the field of marketing. One of the biggest changes big data has created in recent years is in the realm of Facebook advertising. Facebook has been one of the pioneers in big data technology for years. However, many brands haven’t figured out how to use the site’s data to their own advantage.
Domino Data Lab
OCTOBER 1, 2020
Domino and Okera – Provide data scientists access to trusted datasets within reproducible and instantly provisioned computational environments. In the last few years, we’ve seen the acceleration of two trends — the increasing amounts of data stored and utilized by organizations, and the subsequent need for data scientists to help make sense of that data for critical business decisions.
Dataiku
SEPTEMBER 28, 2020
Recently, I had the opportunity to sit down with Professor Alkiviadis Vazacopoulos and Aditya Shenoy , MBA candidate, from the School of Business at Stevens Institute of Technology in Hoboken, N.J.
Analytics Vidhya
SEPTEMBER 29, 2020
Overview Winning data science competitions can be a complex process – but you can crack the top 3 if you have a framework to. The post How I Became a Data Science Competition Master from Scratch appeared first on Analytics Vidhya.
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GAP's AI-Driven QA Accelerators revolutionize software testing by automating repetitive tasks and enhancing test coverage. From generating test cases and Cypress code to AI-powered code reviews and detailed defect reports, our platform streamlines QA processes, saving time and resources. Accelerate API testing with Pytest-based cases and boost accuracy while reducing human error.
Smart Data Collective
OCTOBER 2, 2020
Data mining has led to a number of important applications. One of the biggest ways that brands use data mining is with web scraping. Towards Data Science has talked about the role of using data mining tools with web scraping. Unfortunately, the power of Hadoop and other modern data mining technology is eclipsed by limits that Google and other brands place on data queries made from the same IP.
Octopai
SEPTEMBER 30, 2020
David, the Chief Business Analyst for a medium-sized software company, walked into the office on Monday morning and greeted his staff with a smile and encouraging words. They had great numbers to round off Q3 and David was looking forward to sharing that exciting information at the shareholders meeting that afternoon. But as he collected the Q3 report that he had just sent to the printer, a considerable inconsistency glared up at him.
Dataiku
SEPTEMBER 29, 2020
Becoming an AI enterprise is often easier said than done; setting up a healthy center-of-excellence model with a centralized team of data experts that effectively collaborate with, educate, and enable subject matter experts on the business side is an undertaking that requires a combination of good hiring for key roles plus effective upskilling of existing staff.
Analytics Vidhya
SEPTEMBER 29, 2020
This article is part of the Data Science Blogathon. Introduction Neural networks are ubiquitous right now. Organizations are splurging money on hardware and talent. The post A Quick History of Neural Networks appeared first on Analytics Vidhya.
Advertiser: ZoomInfo
ZoomInfo customers aren’t just selling — they’re winning. Revenue teams using our Go-To-Market Intelligence platform grew pipeline by 32%, increased deal sizes by 40%, and booked 55% more meetings. Download this report to see what 11,000+ customers say about our Go-To-Market Intelligence platform and how it impacts their bottom line. The data speaks for itself!
Jet Global
SEPTEMBER 29, 2020
The post How to Prepare for the New Realities in Transfer Pricing appeared first on insightsoftware.
Decision Management Solutions
SEPTEMBER 29, 2020
Eric Siegel and I had a great discussion about doing Machine Learning BACKWARDS recently – you can watch the recording below or on our YouTube Channel. Eric, if you don’t know, is the founder of Predictive Analytics World, a leading consultant, and author of “ Predictive Analytics “ You can also check out Eric’s new Coursera class.
DataCamp
SEPTEMBER 29, 2020
Scaling organization-wide data fluency training is not an easy task. Learn how to scale your data program and ensure the success of your digital transformation initiatives.
Analytics Vidhya
SEPTEMBER 27, 2020
Overview Microsoft Excel is an excellent tool for learning and executing statistical functions Here are 12 statistical functions in Excel that you should master. The post 10 Statistical Functions in Excel every Analytics Professional Should Know appeared first on Analytics Vidhya.
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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.
Jet Global
SEPTEMBER 28, 2020
Key performance indicators have never been more important for those in the utilities industry. Why? Because this sector is undergoing transformational changes. The push for sustainable energy means that new energy sources and delivery methods are coming online and will for years to come. Utility companies will need to report and monitor their KPIs obsessively to understand how these new approaches to energy are positively and negatively affecting their financial performance.
Dataiku
SEPTEMBER 30, 2020
If you have heard of CI/CD, are (or will be) using Dataiku DSS, and are wondering whether the two make sense together, you are in the right place. In this article, we will review the basics on CI/CD and cover all the topics that require special attention. Note that it goes hand-in-hand with our knowledge base entry, Building a Jenkins pipeline for Dataiku DSS , which shows step-by-step how to apply the concepts introduced here.
Smart Data Collective
SEPTEMBER 29, 2020
The concept of databases existed long before the term “big data” was coined. Every website relies heavily on databases to run efficiently. Unfortunately, big data has created some new challenges, although it has opened many doors in other ways. As database sizes grow, websites can have a harder time accessing the data that they need. As a result, website managers have been responding to the growing changes wrought by big data by finding more eloquent database solutions.
Analytics Vidhya
SEPTEMBER 29, 2020
This article was published as a part of the Data Science Blogathon. Introduction Yesterday, my brother broke an antique at home. I began to. The post How Machine Learning Models Fail to Deliver in Real-World Scenarios appeared first on Analytics Vidhya.
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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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