KDnuggets

JANUARY 24, 2022

There are many great boosting Python libraries for data scientists to reap the benefits of. In this article, the author discusses LightGBM benefits and how they are specific to your data science job.

Data Science 159

Data Science Machine Learning 159

Analytics Vidhya

JANUARY 24, 2022

This article was published as a part of the Data Science Blogathon. Introduction to Deep Learning Artificial Intelligence, deep learning, machine learning?—?whatever you’re doing if you don’t understand it?—?learn it. Because otherwise you’re going to be a dinosaur within 3 years. -Mark Cuban This statement from Mark Cuban might sound drastic – but its message is […].

Deep Learning 307

Deep Learning Machine Learning Data Science Publishing 307

Data Virtualization

JANUARY 28, 2022

Reading Time: 3 minutes Most organizations are moving their IT systems to the cloud. In most cases, they are performing these migrations to increase the scalability of both processing and storage, and generally to free the organization from the limitations of on-premises systems. However, The post Use the Cloud More Creatively appeared first on Data Virtualization blog - Data Integration and Modern Data Management Articles, Analysis and Information.

Data Integration 59

Data Integration Management IT Data Architecture 59

DataKitchen

JANUARY 25, 2022

Analytics are prone to frequent data errors and deployment of analytics is slow and laborious. The strategic value of analytics is widely recognized, but the turnaround time of analytics teams typically can’t support the decision-making needs of executives coping with fast-paced market conditions. Perhaps it is no surprise that the average tenure of a CDO or CAO is only about 2.5 years.

Consulting 244

Consulting Testing Data Lake Data Quality 244

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.

Experimentation

KDnuggets

JANUARY 24, 2022

What does the data reveal if we ask: "What are the 10 Best Python Courses?". Collecting almost all of the courses from top platforms shows there are plenty to choose from, with over 3000 offerings. This article summarizes my analysis and presents the top three courses.

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Analytics Vidhya

JANUARY 24, 2022

This article was published as a part of the Data Science Blogathon. Introduction Modern applications are popularly made using container orchestration systems and microservice architecture. In 2014, the first echoes of the word Kubernetes in tech were heard, and the conquest of Kubernetes is due in no small amount to its flexibility and authority. Back […].

Data Science 385

Data Science Publishing Analytics IT 385

Cloudera

JANUARY 28, 2022

As I meet with our customers, there are always a range of discussions regarding the use of the cloud for financial services data and analytics. Customers vary widely on the topic of public cloud – what data sources, what use cases are right for public cloud deployments – beyond sandbox, experimentation efforts. Private cloud continues to gain traction with firms realizing the benefits of greater flexibility and dynamic scalability.

Slice and Dice 114

Slice and Dice Cost-Benefit Risk Data Governance 114

KDnuggets

JANUARY 26, 2022

In order to achieve quality data, there is a process that needs to happen. That process is data cleaning. Learn more about the various stages of this process.

Data Science 132

Data Science 132

Analytics Vidhya

JANUARY 28, 2022

This article was published as a part of the Data Science Blogathon. Introduction Hello there, learners. I hope everyone is doing well. This pandemic provides us with more opportunities to learn new topics through the work-from-home concept, allowing us to devote more time to doing so. This prompted me to consider some mundane but intriguing topics. […].

Machine Learning 338

Machine Learning Data Science Publishing Analytics 338

Smart Data Collective

JANUARY 27, 2022

Artificial intelligence is having a larger impact on our lives than you may think. Although only 38% of businesses use AI in some form , 90% of the most successful companies utilize some form of AI. You may be wondering how significant AI really is. To some, AI may seem like any other over-hyped buzzword that has never truly manifested in the day-to-day human life.

Machine Learning 107

Machine Learning Data-driven Technology Publishing 107

Speaker: David Bard, Principal at VP Product Coaching

In the fast-paced world of digital innovation, success is often accompanied by a multitude of challenges - like the pitfalls lurking at every turn, threatening to derail the most promising projects. But fret not, this webinar is your key to effective product development! Join us for an enlightening session to empower you to lead your team to greater heights.

Management

Teradata

JANUARY 25, 2022

The use of integrated data to restore customer confidence will be big in 2022. Building a customer insights foundation should be high on the to-do list for retail & CPG businesses this year.

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KDnuggets

JANUARY 25, 2022

Whether you’re working independently or setting up a stack for a company, you need an affordable stack option. Here’s how you can set up your stack without spending too much.

Data Science 124

Data Science 124

Analytics Vidhya

JANUARY 28, 2022

This article was published as a part of the Data Science Blogathon. Introduction A Machine Learning solution to an unambiguously defined business problem is developed by a Data Scientist ot ML Engineer. The Model development process undergoes multiple iterations and finally, a model which has acceptable performance metrics on test data is taken to the production […].

Modeling 338

Modeling Machine Learning Metrics Testing 338

Smart Data Collective

JANUARY 27, 2022

Big data technology has become a very important aspect of our lives. More businesses than ever are transitioning to data-driven business models. Research has shown that companies with big data strategies are 19 times more likely to become profitable. Unfortunately, some businesses have made poor decisions when instituting a data strategy. In a sense, despite its tremendous value, big data has become a bit of a bubble for many companies.

Optimization 101

Optimization IT Big Data Cost-Benefit 101

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.

Testing

Domino Data Lab

JANUARY 24, 2022

We have previously talked about the challenges that the latest SOTA models present in terms of computational complexity. We've also talked about frameworks like Spark, Dask, and Ray , and how they help address this challenge using parallelization and GPU acceleration.

Modeling 98

Modeling Data Science 98

KDnuggets

JANUARY 27, 2022

This post is tentative to explain by "human factor" - a typical Python vs. R user, the widespread opinion that Python is better suited than R for developing production-quality code.

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Analytics Vidhya

JANUARY 28, 2022

This article was published as a part of the Data Science Blogathon. Image Source: Author Introduction Data Engineers and Data Scientists need data for their Day-to-Day job. Of course, It could be for Data Analytics, Data Prediction, Data Mining, Building Machine Learning Models Etc., All these are taken care of by the respective team members and […].

Data Science 327

Data Science Data mining Machine Learning Publishing 327

Cloudera

JANUARY 26, 2022

According to 451 Research , 96% of enterprises are actively pursuing a hybrid IT strategy. Modern, real-time businesses require accelerated cycles of innovation that are expensive and difficult to maintain with legacy data platforms. Cloud technologies and respective service providers have evolved solutions to address these challenges. . The hybrid cloud’s premise—two data architectures fused together—gives companies options to leverage those solutions and to address decision-making criteria, on

Data Processing 86

Data Processing IoT Cost-Benefit Digital Transformation 86

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IT

CDW Research Hub

JANUARY 28, 2022

Understanding storage performance is a significant factor in determining the efficiency and longevity of an organization’s infrastructure. In today’s data-driven world, your storage architecture must be able to store, protect and manage all sources and types of data while scaling to manage the exponential growth of data created by IoT, videos, photos, files, and apps.

Digital Transformation 86

Digital Transformation Data-driven IoT Optimization 86

KDnuggets

JANUARY 25, 2022

In this article, see how you can get above 90% accuracy on the validation set with a pretty straightforward approach. You'll also see what happens to the validation accuracy if we scale down the amount of training data by a factor of 20. Spoiler alert - it will remain unchanged.

IT 109

IT 109

Analytics Vidhya

JANUARY 28, 2022

This article was published as a part of the Data Science Blogathon. Introduction Feedforward Neural Networks, also known as Deep feedforward Networks or Multi-layer Perceptrons, are the focus of this article. For example, Convolutional and Recurrent Neural Networks (which are used extensively in computer vision applications) are based on these networks.

IT 303

IT Data Science Publishing Analytics 303

Cloudera

JANUARY 27, 2022

Insurers are increasingly adopting data from smart devices and related technologies to support and service their customers better. According to Statista , the projected installed base of IOT devices is expected to increase to 30.9 billion units by 2025, a huge jump from the 13.8 billion units that exist today. I have been researching more about how we can use the new data from those devices to design more innovative insurance products while being aware that these should all be contingent upon cu

Insurance 84

Insurance IoT Risk Data Processing 84

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.

Customer Analytics

Smart Data Collective

JANUARY 26, 2022

There are a lot of benefits of using artificial intelligence in 2022. One of the biggest reasons that many people use AI is to improve their marketing strategies. A recent survey found that 64% of marketers reported that data-driven marketing strategies are more important than ever. One of the biggest reasons big data is so useful is that it helps supplement AI technology.

Data-driven 86

Data-driven Marketing Visualization Recreation/Entertainment 86

KDnuggets

JANUARY 26, 2022

The High Paying Side Hustles for Data Scientists; Top Programming Languages and Their Uses; Artificial Intelligence Project Ideas for 2022; The Best Python Courses: An Analysis Summary; Top Stories, Jan 17-23: The High Paying Side Hustles for Data Scientists.

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Analytics Vidhya

JANUARY 28, 2022

This article was published as a part of the Data Science Blogathon. [link] Index 1) Introduction 2) Installation 3) Writing code with Scala What is Scala? Scala is a high-level language that combines the paradigms of both functional and object-oriented programming, which makes it powerful. It is used by tech giants like Netflix, Twitter, and […].

Data Science 301

Data Science Publishing Analytics IT 301

The Data Visualisation Catalogue

JANUARY 24, 2022

For this website, I’ve started to compile a list of academic papers and any related articles that study or use a particular type of visualisation. I thought it would be a good idea to share what I have found since there isn’t a resource (that I know of), which list papers and journal articles by chart type. So this entry, I will be listing and briefly reviewing all the research I’ve found on Alluvial Diagrams.

Visualization 85

Visualization Reporting Modeling IT 85

Speaker: Jon Harmer, Product Manager for Google Cloud

Move from feature factory to customer outcomes and drive impact in your business! This session will provide you with a comprehensive set of tools to help you develop impactful products by shifting from output-based thinking to outcome-based thinking. You will deepen your understanding of your customers and their needs as well as identifying and de-risking the different kinds of hypotheses built into your roadmap.

Risk

Smart Data Collective

JANUARY 24, 2022

Big data is undoubtedly changing the future of modern business. One study from KPMG found that 70% of businesses feel their big data initiatives are going to be invaluable to the future of their business model. How they choose to leverage their data is going to be vital to their future success. Smart Businesses Search for New Ways to Leverage Big Data.

Big Data 84

Big Data ROI Marketing Software 84

KDnuggets

JANUARY 25, 2022

Participating in competitions has taught me everything about machine learning and how It can help you learn multiple domains faster than online courses.

Machine Learning 114

Machine Learning IT 114

Analytics Vidhya

JANUARY 28, 2022

This article was published as a part of the Data Science Blogathon. Today, most organizations invest more than ever in their resources to finely leverage graph analytics to extract valuable insights from massive, complex volumes of data. For those who don’t know, Neo4j is one of the most popular graph databases that gives developers and data […].

Data Science 297

Data Science Publishing Analytics Visualization 297

Dataiku

JANUARY 26, 2022

In this fireside chat, Roy Wilsker, Senior Director, Technical Fellow, and AI Compass Group Member at Medtronic, and Neil Menghani, Master's Student at The Courant Institute of Mathematical Sciences of NYU, provide two different perspectives on the topic of Responsible AI — the lens of academia and an industry point of view. Bridging any gaps between academia and industry to garner insights from both the frontlines of work on Responsible AI and the in-depth research taking place today, this chat

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