Analytics Vidhya
JUNE 20, 2022
This article was published as a part of the Data Science Blogathon. Introduction The loss function is very important in machine learning or deep learning. let’s say you are working on any problem and you have trained a machine learning model on the dataset and are ready to put it in front of your client. […]. The post Understanding Loss Function in Deep Learning appeared first on Analytics Vidhya.
datapine
JUNE 7, 2022
Table of Contents. 1) Misleading Data Visualization Examples. 2) How to Avoid Misleading Visuals. 3) The Impact Of Bad Data Visualizations. Nobody likes feeling manipulated in any way, shape, or form. But while that may be the case, people are duped by data visualizations every day. From political issues to sports statistics and the recent report you received on the ROI of your company blog, the internet as well as informational reports are flooded with examples of misleading data visualization.
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KDnuggets
JUNE 28, 2022
Preparing for the SQL job interview can be overwhelming enough. You don’t need someone telling you that you need to know everything on top of that! Be smart and focus on preparing the SQL questions that appear most often at the job interview.
CIO Business Intelligence
JUNE 23, 2022
Over the past few years, computer vision applications have become ubiquitous. From phones that recognize the faces of their users, to cars that drive themselves, to satellites that track ship movements, the value of computer vision has never been clear. But hardware shortages and labor disruptions in the pandemic’s wake are challenging companies’ ability to make good on the promise of computer vision, even as the pandemic itself has accelerated the potential of its use cases.
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
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.
Juice Analytics
JUNE 2, 2022
“Like a good neighbor, State Farm is there.”. The State Farm tagline — like so many advertisements — does more than connect with new customers. It also wants to convince existing customers that they made the right decision in choosing State Farm for their insurance. The same is true about delivering data to your customers. Reporting is more than a feature of your product, it is an opportunity to remind customers of the value your solution provides.
Data Leaders Brief brings together the best content for data, strategy, and BI professionals from the widest variety of industry thought leaders.
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 23, 2022
Essential Linux commands to improve the data science workflow. It will give you the power to automate tasks, build pipelines, access file systems, and enhance development operations.
CIO Business Intelligence
JUNE 16, 2022
Genius, opined Thomas Edison, who had firsthand knowledge of the subject, consists of 1% inspiration and 99% perspiration. Call it the “Edison Ratio.”. While one might haggle over the exact numbers, the Edison Ratio provides a useful benchmark for what it takes to make an inspired idea real. And it cuts straight to a key reason organizations often fail at innovation: They overemphasize innovation’s need for new ideas while remaining oblivious to — or eternally optimistic about — the volume of wo
Smart Data Collective
JUNE 29, 2022
Big data is at the heart of all successful, modern marketing strategies. Companies that engage in email marketing have discovered that big data is particularly effective. When you are running a data-driven company, you should seriously consider investing in email marketing campaigns. Keep reading to learn more about the benefits. Data-Driven Companies are Discovering the Benefits of Investing in Email Marketing.
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.
Depict Data Studio
JUNE 6, 2022
I registered for the Simple Spreadsheets course because I was a beginner with using Excel and I knew I was utilizing only a fraction of its capabilities. I also had the good fortune of attending some of Ann’s in-person presentations about data visualization at a conference for Continuous Quality Improvement hosted by the California Department of Social Services, which had an unquantifiable impact on the personal project I will be sharing with you today.
Analytics Vidhya
JUNE 20, 2022
This article was published as a part of the Data Science Blogathon. Introduction Big Query is a serverless enterprise data warehouse service fully managed by Google. Big Query provides nearly real-time analytics of massive data. A big Query data warehouse provides global availability of data, can be easily connected to the other Google Services and […].
Cloudera
JUNE 7, 2022
We live in a hybrid data world. In the past decade, the amount of structured data created, captured, copied, and consumed globally has grown from less than 1 ZB in 2011 to nearly 14 ZB in 2020. Impressive, but dwarfed by the amount of unstructured data, cloud data, and machine data – another 50 ZB. In fact, the total amount of data is expected to nearly triple by 2025.
KDnuggets
JUNE 6, 2022
You can't avoid learning Python if you work on machine learning problems. You need to know what other people's code means and you need to convey your ideas to them too.
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.
CIO Business Intelligence
JUNE 7, 2022
More companies in every industry are adopting artificial intelligence to transform business processes. But the success of their AI initiatives depends on more than just data and technology — it’s also about having the right people on board. An effective enterprise AI team is a diverse group that encompasses far more than a handful of data scientists and engineers.
Smart Data Collective
JUNE 19, 2022
Artificial intelligence is driving a lot of changes in modern business. Companies are using AI to better understand their customers, recognize ways to manage finances more efficiently and tackle other issues. Since AI has proven to be so valuable, an estimated 37% of companies report using it. The actual number could be higher, since some companies don’t realize the different forms of AI they might be using.
Dataiku
JUNE 29, 2022
What is a queer, woman of color to speak about when given a platform to make an impact at Dataiku? When approached by the Dataiku Queer Employee Resource Group (ERG) to write this blog post, the opportunity left me personally excited and a little overwhelmed to achieve. Do I speak about identity, intersectionality, community, or acceptance? Those are a few important topics that come to mind.
Analytics Vidhya
JUNE 12, 2022
This article was published as a part of the Data Science Blogathon. Introduction on Quechua In this article, we will create an app for translating Spanish Audio transcriptions to Quechua. We will leverage the Gradio Python package for creating a web interface for the model and deploy our app on Hugging Face Spaces. With the advent […]. The post Translate Spanish Audio transcriptions to Quechua appeared first on Analytics Vidhya.
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Domino Data Lab
JUNE 14, 2022
Translation between Skeletal formulae and InChI labels is a challenging image captioning problem, especially when it involves large amounts of noisy data. In this blog post we share our experience from the BMS molecular translation challenge and show that CPU-based distributed learning can significantly shorten model training times.
KDnuggets
JUNE 17, 2022
In this tutorial, we are going to list some of the most common algorithms that are used in supervised learning along with a practical tutorial on such algorithms.
CIO Business Intelligence
JUNE 2, 2022
Artificial intelligence , machine learning (a subset of AI), and predictive analytics top the list of hot, planned technology investments for banks in 2022, due to their ability to aid strategic business decision-making, help build applications that can serve customers in a personalized manner, and drive revenue growth, according to market research firm Forrester.
Smart Data Collective
JUNE 17, 2022
Global companies spent over $2.83 billion on marketing analytics in 2020. This figure certainly increased in light of the pandemic, as digitization accelerated. Marketing has always been about numbers. Now, those numbers are highly refined, narrowed by algorithms and databases, and processed by people with advanced degrees. Indeed, data and marketing are a match made in heaven, taking much of the guesswork out of a profession that once was as much about luck as it was about creativity.
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.
Dataiku
JUNE 28, 2022
Whether it’s automating everyday tasks, elevating more people to harness the power of data, systematizing transformation, or tackling moonshot projects, data science practitioners around the world leverage Dataiku for a wide range of innovative applications. Their pioneering work is celebrated annually with the Dataiku Frontrunner Awards , where success stories and use cases from data science and AI leaders across industries are gathered and shared.
Analytics Vidhya
JUNE 18, 2022
This article was published as a part of the Data Science Blogathon. Introduction on MYSQL In this article, we will see how to work with multiple tables. Learning SQL is very important nowadays. It is a very popular technology that most companies are using. SQL queries are used for querying tables in the process of data analysis. […]. The post Multi-Table Analysis with MYSQL appeared first on Analytics Vidhya.
Data Science and Beyond
JUNE 5, 2022
Discussing my recent career move into climate tech as a way of doing more to help mitigate dangerous climate change.
KDnuggets
JUNE 6, 2022
Learn to train and track your experiments, create ML pipelines, model deployment, monitor the performance in production, and adopt best practices from DevOps.
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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.
CIO Business Intelligence
JUNE 15, 2022
Moving into the digital 2020s, enterprises are contemplating the adoption of a new generation of collaborative, composable, and cloud-based enterprise resource planning (ERP) technologies, motivated by a stubborn pandemic, insecure supply chains, transient workforces, and other factors. An overwhelming 94% of organizations worldwide are embracing a next-generation ERP strategy that involves migrating to cloud platforms and adopting high-end analytics such as artificial intelligence to overcome t
Smart Data Collective
JUNE 24, 2022
Data analytics technology has helped countless companies improve their marketing strategies. Global companies are spending over $3 billion a year on marketing analytics technology and this figure is growing over 12% a year. There are a lot of different ways that companies can use data analytics to improve their marketing strategies. One of the most effective approaches involves taking advantage of QR codes.
Dataiku
JUNE 1, 2022
This article was written in collaboration with our friends at Aimpoint Digital.
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.
Advertiser: Data Robot
The buzz around generative AI shows no sign of abating in the foreseeable future. Enterprise interest in the technology is high, and the market is expected to gain momentum as organizations move from prototypes to actual project deployments. Ultimately, the market will demand an extensive ecosystem, and tools will need to streamline data and model utilization and management across multiple environments.
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