Analytics Vidhya
APRIL 14, 2022
This article was published as a part of the Data Science Blogathon. Source: Forbes.com Introduction It is not hidden from the audience that quantum computing is the future of data processing. Tech giants like IBM, Google, and Microsoft are all aggressively pursuing quantum computing technology for a good reason. The massive speedups and power savings of quantum […].
KDnuggets
APRIL 27, 2022
Solving the Python coding interview questions is the best way to get ready for an interview. That’s why we’ll lead you through 15 examples and five concepts these questions cover.
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CIO Business Intelligence
APRIL 29, 2022
As someone who is passionate about the transformative power of technology, it is fascinating to see intelligent computing – in all its various guises – bridge the schism between fantasy and reality. Organisations the world over are in the process of establishing where and how these advancements can add value and edge them closer to their goals. The excitement is palpable.
Cloudera
APRIL 22, 2022
This blog post was written by Dean Bubley , industry analyst, as a guest author for Cloudera. . Communications service providers (CSPs) are rethinking their approach to enterprise services in the era of advanced wireless connectivity and 5G networks, as well as with the continuing maturity of fibre and Software-Defined Wide Area Network (SD-WAN) portfolios. .
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.
Smart Data Collective
APRIL 20, 2022
Errors in data entry might have serious effects if they are not discovered quickly. Human mistake is the most common cause of data entry errors. Since typical data entry errors may be minimized with the right steps, there are numerous data lineage tool strategies that a corporation can follow. The steps organizations can take to reduce mistakes in their firm for a smooth process of business activities will be discussed in this blog.
Dataiku
APRIL 8, 2022
MLOps is a term that is gaining a lot of traction, but definitions of the concept remain blurry and many misleading myths are circulating. In “The 7 Myths of MLOps,” a recent Dataiku Product Days session, we have aimed to set the record straight with some reality checks and myth-busting. This blog recaps the useful information revealed in the session.
Data Leaders Brief brings together the best content for data, strategy, and BI professionals from the widest variety of industry thought leaders.
KDnuggets
APRIL 21, 2022
Understanding the fundamentals of statistics is a core capability for becoming a Data Scientist. Review these essential ideas that will be pervasive in your work and raise your expertise in the field.
CIO Business Intelligence
APRIL 25, 2022
An education in data science can help you land a job as a data analyst , data engineer , data architect , or data scientist. The data science path you ultimately choose will depend on your skillset and interests, but each career path will require some level of programming, data visualization, statistics, and machine learning knowledge and skills. Data engineers and data architects spend more time dealing with code, databases, and complex queries, whereas data analysts and data scientists typical
DataRobot Blog
APRIL 29, 2022
With the big data revolution of recent years, predictive models are being rapidly integrated into more and more business processes. This provides a great amount of benefit, but it also exposes institutions to greater risk and consequent exposure to operational losses. When business decisions are made based on bad models, the consequences can be severe.
Smart Data Collective
APRIL 25, 2022
A lot of factors go into building a business, but online reputation is a huge part of it. A lot of organizations don’t recognize the role that AI technology can play when it comes to business management, improving customer relationships and managing your business’s online profile. Customers tend to Google an organization prior to engaging with their services.
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.
Cloudera
APRIL 13, 2022
The term “AI-first” has received its share of attention lately, especially in the boardroom where strategies to gain a competitive advantage are always welcome. But before a company embarks on an AI-first strategy, it pays to understand what it is and how it will transform the organization. If you’re AI-first, that means you have figured out how to leverage artificial intelligence to boost organizational agility so you can continuously adapt operational processes to deliver the right business ou
Analytics Vidhya
APRIL 23, 2022
This article was published as a part of the Data Science Blogathon. Introduction In this article, we will be looking for a very common yet very important topic i.e. SQL also pronounced as Ess-cue-ell. So this time I’ll be answering some of the factual questions about SQL which every beginner needs to know before getting […]. The post Introduction to SQL for Data Engineering appeared first on Analytics Vidhya.
KDnuggets
APRIL 15, 2022
Data is the bread and butter of a Data Scientist, so knowing many approaches to loading data for analysis is crucial. Here, five Python techniques to bring in your data are reviewed with code examples for you to follow.
CIO Business Intelligence
APRIL 21, 2022
The world of marketing is awash in data. The solution? Embrace a customer data platform. Or at least some companies say. A customer data platform (CDP) is a software system that pulls together data from a wide array of sources — such as websites, ecommerce and ad platforms, social media applications, retail software, and more — to create a centralized customer database, as well as detailed profiles of each customer.
Speaker: Aarushi Kansal, AI Leader & Author and Tony Karrer, Founder & CTO at Aggregage
Software leaders who are building applications based on Large Language Models (LLMs) often find it a challenge to achieve reliability. It’s no surprise given the non-deterministic nature of LLMs. To effectively create reliable LLM-based (often with RAG) applications, extensive testing and evaluation processes are crucial. This often ends up involving meticulous adjustments to prompts.
Depict Data Studio
APRIL 18, 2022
Death by PowerPoint makes our audience scroll through their phone or lose interest. Important information sits on the slide, gathering dust. We’re all familiar with the obvious signs of Death by PowerPoint: Text-wall slides with bullet points for daaaays. Using filler words (um, like, so). Multiple graphs smushed on one slide with tiny text. Tiny, grainy images with cheesy stock photography models.
Smart Data Collective
APRIL 5, 2022
Data analytics has led to a huge shift in the marketing profession. A large part of this is due to advances in digital marketing. Digital marketers have an easier time compiling data on customer engagements, because most behavior and variables can be easily tracked. This is particularly true for search engine marketers. Earlier this year, VentureBeat published an article titled How data science can boost SEO strategy.
DataRobot Blog
APRIL 7, 2022
F1 is headed Down Under next week for the first time since 2019. The Australian Grand Prix – taking place in Melbourne’s Albert Park Circuit – will showcase a new track layout and will be a homecoming for Australia’s own, McLaren Racing driver Daniel Ricciardo. The track changes, which Ricciardo consulted on , are the first modifications since 1996 and are aimed at reducing lap times, increasing speeds, and bringing the cars closer together.
Analytics Vidhya
APRIL 1, 2022
This article was published as a part of the Data Science Blogathon. Introduction In this article, we will discuss how to implement a haar cascade for object detection in OpenCV. In the last article, we discussed real-time object classification, if you haven’t read it yet, the link is here. Source: Link Identifying a custom object […]. The post Object Detection Using Haar Cascade: OpenCV appeared first on Analytics Vidhya.
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Are you trying to decide which entity resolution capabilities you need? It can be confusing to determine which features are most important for your project. And sometimes key features are overlooked. Get the Entity Resolution Evaluation Checklist to make sure you’ve thought of everything to make your project a success! The list was created by Senzing’s team of leading entity resolution experts, based on their real-world experience.
KDnuggets
APRIL 19, 2022
Approaches to data sampling, modeling, and analysis can vary based on the distribution of your data, and so determining the best fit theoretical distribution can be an essential step in your data exploration process.
CIO Business Intelligence
APRIL 12, 2022
Slowdowns caused by system disruption and complexities in your IT environment are more than an operational headache. They can have a direct impact on the bottom line. While it’s enormously important to make IT systems more efficient and give time back to the organization, it’s just as important to recognize the value of that time and understand the best ways to allocate it between workers, apps, and infrastructure.
Dataiku
APRIL 12, 2022
You may have read, heard, or experienced first hand the value of geospatial data for a variety of business and daily life applications. You might be also aware that this field of analytics is gaining more and more traction and can get quite complex and challenging in terms of talent and resources.
Smart Data Collective
APRIL 25, 2022
Data science is a broad field that can help organizations glean significant insights into various aspects of their operations. Whether it’s uncovering truths about customer buying habits or discovering new ways to make teams collaborate more efficiently, data science can be an extremely useful tool to all who take advantage of it. This is why the demand for data scientists is growing so rapidly.
Speaker: Nicholas Zeisler, CX Strategist & Fractional CXO
The first step in a successful Customer Experience endeavor (or for that matter, any business proposition) is to find out what’s wrong. If you can’t identify it, you can’t fix it! 💡 That’s where the Voice of the Customer (VoC) comes in. Today, far too many brands do VoC simply because that’s what they think they’re supposed to do; that’s what all their competitors do.
Juice Analytics
APRIL 8, 2022
?????? Customer or client reporting is the healthy eating of business. It is often the last thing organizations want to do because it is hard to do well and reveals hard truths. But like eating well, it is among the most important, valuable things you can do to create alignment internally and externally. So why don’t more organizations make the effort to eat their greens?
Analytics Vidhya
APRIL 4, 2022
This article was published as a part of the Data Science Blogathon. Introduction In this article, we are going to build a vehicle counter system using OpenCV in Python using the concept of Euclidean distance tracking and contours. In the last article, we talked about object detection in OpenCV using haar cascades, if you haven’t […]. The post Building Vehicle Counter System Using OpenCV appeared first on Analytics Vidhya.
KDnuggets
APRIL 8, 2022
Naïve Bayes is a probabilistic machine learning algorithm based on the Bayes Theorem, used in a wide variety of classification tasks. In this article, we will understand the Naïve Bayes algorithm and all essential concepts so that there is no room for doubts in understanding.
CIO Business Intelligence
APRIL 11, 2022
More cities than ever before are investing in smart city technology and changing how cities operate. There are many benefits that come along with making a city “smart.” It gives the city more information and data to help drive decision making leading to tremendous benefits that positively influence the lives of everyone who lives, works, and visits, such as: .
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Outdated or absent analytics won’t cut it in today’s data-driven applications – not for your end users, your development team, or your business. That’s what drove the five companies in this e-book to change their approach to analytics. Download this e-book to learn about the unique problems each company faced and how they achieved huge returns beyond expectation by embedding analytics into applications.
DataRobot Blog
APRIL 11, 2022
If you follow the media stories about AI , you will see two schools of thought. One school is utopian, proclaiming the amazing power of AI, from predicting quantum electron paths to driving a race car like a champion. The other school is dystopian, scaring us with crisis-ridden stories that range from how AI could bring about the end of privacy to self-driving cars that almost immediately crash.
Smart Data Collective
APRIL 13, 2022
Machine learning technology is becoming a more important aspect of modern marketing. One of the biggest reasons for this is that digital marketing is playing a huge role in marketing strategies for most companies. Companies are expected to spend $460 billion on digital marketing this year. Machine learning technology is a very important element of digital marketing.
Teradata
APRIL 29, 2022
Find out why data analytics and connectivity will be the difference between retailing taking off and being grounded.
Analytics Vidhya
APRIL 1, 2022
This article was published as a part of the Data Science Blogathon. Introduction We can clearly see that sentiment analysis is getting more and more popular as e-commerce, SaaS solutions, and digital technologies advance. We’ll go through how this works and look at some of the most common corporate applications. We’ll also discuss the analysis’ […].
Speaker: Margaret-Ann Seger, Head of Product, Statsig
Experimentation is often seen as an aspirational practice, especially at smaller, fast-moving companies who are strapped for time and resources. So, how can you get your team making decisions in a more data-driven way while continuing to remain lean and maintaining ship velocity? In this webinar, Margaret-Ann Seger, Head of Product at Statsig, will teach you how to build an experimentation culture from the ground-up, graduating from just getting started with data-driven development to operating
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