David Menninger's Analyst Perspectives

NOVEMBER 9, 2021

How does your organization define and display its metrics? I believe many organizations are not defining and displaying metrics in a way that benefits them most. If an organization goes through the trouble of measuring and reporting on a metric, the analysis ought to include all the information needed to evaluate that metric effectively. A number, by itself, does not provide any indication of whether the result is good or bad.

Metrics 310

Metrics KPI Measurement Reporting 310

Analytics Vidhya

NOVEMBER 9, 2021

This article was published as a part of the Data Science Blogathon Introduction to Regularization During the Machine Learning model building, the Regularization Techniques is an unavoidable and important step to improve the model prediction and reduce errors. This is also called the Shrinkage method. Which we use to add the penalty term to control the complex […].

Modeling 341

Modeling IT Machine Learning Data Science 341

DataRobot

NOVEMBER 12, 2021

This is a three part blog series in partnership with Amazon Web Services describing the essential components to build, govern, and trust AI systems: People, Process, and Technology. All are required for trusted AI , technology systems that align to our individual, corporate and societal ideals. This first post is focused on making people across organizations successful with building and implementing AI you can trust.

Insurance 69

Insurance Risk Risk Management Manufacturing 69

DataKitchen

NOVEMBER 12, 2021

The post The Benefits and Drawbacks of DataOps in Practice first appeared on DataKitchen.

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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

Juice Analytics

NOVEMBER 11, 2021

When it comes to using data, many organizations are reminiscent of the famous poem “Rime of the Ancient Mariner”: “Water, water, every where, Nor any drop to drink”. Data is everywhere, but it seldom seems to quench the thirst for smarter decisions. (As a side-note, this poem originated the phrase “albatross around your neck” — which is how a lot of CIOs and CTOs feel with both the data and expectations.

Dashboards 137

Dashboards Data Warehouse Reporting Technology 137

Analytics Vidhya

NOVEMBER 12, 2021

This article was published as a part of the Data Science Blogathon This article starts by discussing the fundamentals of Natural Language Processing (NLP) and later demonstrates using Automated Machine Learning (AutoML) to build models to predict the sentiment of text data. Other applications of NLP are for translation, speech recognition, chatbot, etc.

Machine Learning 400

Machine Learning Data Science Publishing Modeling 400

KDnuggets

NOVEMBER 8, 2021

With a lot of excitement and research around NLP, there are growing opportunities to apply these technologies to real-world scenarios. It's not trivial to become familiar with NLP and these open-source data sets can help you increase your skills.

Modeling 123

Modeling Technology IT 123

Dataiku

NOVEMBER 12, 2021

In this Banana Data Podcast episode " Methodology & Functionality in Differing Data Science Roles," our hosts share the rundown on data science roles, so you will no longer be in the dark for behind the scenes data science happenings. Speaking with a Dataiku solutions engineer, listeners get special insights on how the roles of data science and engineering teams contribute at a broader organizational level.

Data Science 106

Data Science Data Processing 106

Analytics Vidhya

NOVEMBER 9, 2021

This article was published as a part of the Data Science Blogathon In this article, I am going to build multiple neural network models to solve a regression problem. Before we start working on the model, I would like to give a brief overview of what we will touch on and what steps we will follow. […]. The post Neural Network for Regression with Tensorflow appeared first on Analytics Vidhya.

Data Science 398

Data Science Publishing Modeling Analytics 398

Smart Data Collective

NOVEMBER 12, 2021

Much has changed since the time when organizations only knew of antiviruses and simple firewalls as the tools, they need to protect their computers. To address newer challenges, security providers have developed new technologies and strategies to combat evolving threats. Stephanie Benoit-Kurtz, Lead Area Faculty Chair for the University of Phoenix’s Cybersecurity Programs, offers a good summary of the changes security organizations should anticipate , especially in the time of the pandemic.

Strategy 129

Strategy Enterprise Testing Cost-Benefit 129

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

KDnuggets

NOVEMBER 12, 2021

The PyTorch Deep Learning framework has a C++ API for use on mobile platforms. This article shows an end-to-end demo of how to write a simple C++ application with Deep Learning capabilities using the PyTorch C++ API such that the same code can be built for use on mobile platforms (both Android and iOS).

Deep Learning 122

Deep Learning 122

Dataiku

NOVEMBER 8, 2021

In our previous article on building a strong data culture , we outlined an ambitious agenda for change — recognize how the company makes decisions and what needs to be changed, embed business translators and data product managers into the organization, and build an ideas factory instead of becoming too attached to early experiments or models.

Modeling 98

Modeling Management 98

Analytics Vidhya

NOVEMBER 11, 2021

This article was published as a part of the Data Science Blogathon INTRODUCTION Investing is an important part of one’s life because Investing helps in making the present and future safety, it allows you to grow financially. Also, investing is a process of compounding profits. Investing money at the right place and right time helps in increasing […].

Data Science 395

Data Science Publishing Analytics Data mining 395

Smart Data Collective

NOVEMBER 12, 2021

According to the 2021 CMO Spend Survey by Gartner, budget allocation for marketing analytics failed to make the top 3 in priority falling behind digital commerce, marketing operations and brand strategy. While I understand that selling products, cutting costs and delivering brand strategy is important for long term business results, the lack of priority in using data troubles me.

Marketing 129

Marketing Advertising Data-driven Marketing Analytics 129

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

KDnuggets

NOVEMBER 9, 2021

In this article we are discussing that HDF5 is one of the most popular and reliable formats for non-tabular, numerical data. But this format is not optimized for deep learning work. This article suggests what kind of ML native data format should be to truly serve the needs of modern data scientists.

Deep Learning 118

Deep Learning Optimization Management 118

Depict Data Studio

NOVEMBER 9, 2021

Shawna Rohrman, Ph.D., is the Evaluation Manager for the Cuyahoga County Office of Early Childhood and its public-private partnership, Invest in Children. She enrolled in our Dashboard Design course and is sharing how she uses her new skills in real life. Thanks for sharing, Shawna! –Ann. —– Using a dashboard has been central to my work as a program evaluator.

Dashboards 97

Dashboards Visualization Reporting Metrics 97

Analytics Vidhya

NOVEMBER 10, 2021

This article was published as a part of the Data Science Blogathon Image Source: Author Introduction to Fitness Tracker Market With the advancements in the IT domain, wearable devices have been in great demand in the recent past. A wearable device is simply a device that can be worn by the user and this device is […]. The post How To Use Python To Analyse Fitness Tracker Market: Step By Step EDA appeared first on Analytics Vidhya.

Marketing 389

Marketing Data Science Publishing Analytics 389

Smart Data Collective

NOVEMBER 9, 2021

The average consumer is unaware of the phenomenal benefits that big data provides. One of the biggest benefits of big data is that it can help improve driver safety. Data analytics technology is becoming more useful when it comes to stopping traffic accidents. A lot of companies are sharing data to help make roads and vehicles safer, as well as helping drivers make better driving decisions on the road.

Big Data 128

Big Data Manufacturing Risk Insurance 128

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IT

KDnuggets

NOVEMBER 10, 2021

A machine can only understand numbers. As a result, converting text to numbers, called embedding text, is an actively researched topic. In this article, we review different word embedding techniques for converting text into vectors.

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Cloudera

NOVEMBER 12, 2021

Arjun (my son) sat next to me at my desk. He was a bit nervous but we had practiced 3 times before he was ‘on stage’ in front of hundreds of people and the zoom meeting turned to him. My ten year old began to demonstrate how to deploy an Operational Database in AWS, showcasing how auto-scaling worked and how to set up replication. All of the sales team and my colleagues were quite impressed with him, and I am very proud of him.

Software 100

Software Enterprise Snapshot IT 100

Analytics Vidhya

NOVEMBER 12, 2021

This article was published as a part of the Data Science Blogathon Introduction Hey all, I am sure you must have played pokemon games at some point in time and must have hated the issue of creating an optimal and balanced team to gain an advantage. What if I say one can do this by having […]. The post Optimizing Pokemon Team using Python’s PuLP Library appeared first on Analytics Vidhya.

Optimization 382

Optimization Data Science Publishing Analytics 382

Smart Data Collective

NOVEMBER 8, 2021

Data analytics has become a very important aspect of any modern business’s operating strategy. One of the most important ways to utilize big data is with financial management. The financial analytics market is projected to be worth $114 billion within the next two years. This is a testament to the amazing benefits it provides for companies in all sectors.

Data Analytics 118

Data Analytics Insurance Analytics Cost-Benefit 118

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

Data-driven

KDnuggets

NOVEMBER 9, 2021

Beginners in the field can often have many misconceptions about machine learning that sometimes can be a make-it-or-break-it moment for the individual switching careers or starting fresh. This article clearly describes the ground truth realities about learning new ML skills and eventually working professionally as a machine learning engineer.

Machine Learning 116

Machine Learning IT Deep Learning 116

CDW Research Hub

NOVEMBER 9, 2021

San Antonio, TX – 09 November, 2021 —Sirius Computer Solutions, Inc. (Sirius), a leading national IT solutions integrator and gold-certified Cisco partner, took home top honors today, receiving Cisco ® Partner Summit awards for Americas United States Partner of the Year and Data Center and Cloud Partner of the Year. Cisco announced the winners during its annual partner conference, held digitally this year.

Digital Transformation 92

Digital Transformation Marketing Sales Optimization 92

Analytics Vidhya

NOVEMBER 8, 2021

This article was published as a part of the Data Science Blogathon. Getting Started With… Natural Language Processing (NLP) is the field of artificial intelligence that relates lingual to Computer Science. I am assuming that you have understood the basic concepts of NLP. So we will move ahead. There are Some NLP applications as follows: […].

Data Science 381

Data Science Publishing Analytics 381

Smart Data Collective

NOVEMBER 10, 2021

Big data technology has been a huge gamechanger in the insurance sector. More insurance are using big data to assist with the underwriting process. They have discovered that data analytics has made the underwriting process a lot easier. They are getting a better understanding of risk and choosing rates for their policyholders. However, insurance companies aren’t the only ones affected by big data.

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Insurance Analytics Big Data Data mining 116

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

KDnuggets

NOVEMBER 11, 2021

The notion of self-service BI tools caught an expectation that they could provide a magic formula for easily helping everyone understand all the data. But, such an end-result isn't occurring in practice. To identify a better approach, we need to take a step back and determine what problem is actually trying to be solved.

IT 102

IT Analytics 102

Octopai

NOVEMBER 10, 2021

Metadata has been defined as the who, what, where, when, why, and how of data. Without the context given by metadata, data is just a bunch of numbers and letters. And unless you love numbers and letters for their own sake, that’s not all that valuable. But going on a rampage to define, categorize, and otherwise metadata-ize your data doesn’t necessarily give you the key to the value in your data.

Metadata 89

Metadata Management Interactive Strategy 89

Analytics Vidhya

NOVEMBER 6, 2021

This article was published as a part of the Data Science Blogathon. Table of contents Introduction What is Microsoft Power BI? Microsoft Power BI Concepts Data sources in Microsoft Power BI Import Excel Data to Microsoft Power BI Query Editor Inbuilt visuals Conclusion Introduction There is so much data collected in businesses and industries today. […].

Visualization 360

Visualization Data Collection Data Science Publishing 360

Smart Data Collective

NOVEMBER 10, 2021

These days, almost every organization relies on huge quantities of data to run day-to-day operations. There are times when projects may require you to convert or migrate data , depending on whether it’s moving from one system to another or from several databases into one. The terms “ database conversion ” and “database migration” are often used interchangeably, but they are two different processes that play a big role in an organization’s software implementation.

Testing 115

Testing Data Integration Software Modeling 115

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Strategy