David Menninger's Analyst Perspectives

FEBRUARY 17, 2022

Many organizations invest in data governance out of concern over misuse of data or potential data breaches. These are important considerations and valid aspects of data governance programs. However, good data governance also has positive impacts on organizations. For example, I have previously written about the valuable connection between the use of data catalogs and satisfaction with an organization’s data lake.

Data Governance 225

Data Governance Data Lake Analytics Technology 225

Analytics Vidhya

FEBRUARY 18, 2022

This article was published as a part of the Data Science Blogathon. Introduction In all kinds of data science projects across domains, EDA (exploratory data analytics) is the first go-to analysis, without which the analysis is incomplete or almost impossible to do. One of the key objectives in many multi-variate analyses is to understand relationships between […].

Data Science 330

Data Science Publishing Data Analytics Analytics 330

O'Reilly on Data

FEBRUARY 15, 2022

I haven’t written much about AI recently. But a recent discussion of Google’s new Large Language Models (LLMs), and its claim that one of these models (named Gopher) has demonstrated reading comprehension approaching human performance , has spurred some thoughts about comprehension, ambiguity, intelligence, and will. (It’s well worth reading Do Large Models Understand Us , a more comprehensive paper by Blaise Agüera y Arcas that is heading in the same direction.).

Testing 293

Testing Modeling Measurement IT 293

DataKitchen

FEBRUARY 18, 2022

DataOps is a discipline focused on the delivery of data faster, better, and cheaper to derive business value quickly. It closely follows the best practices of DevOps although the implementation of DataOps to data is nothing like DevOps to code. This paper will focus on providing a prescriptive approach in implementing a data pipeline using a DataOps discipline for data practitioners.

Data Quality 130

Data Quality Machine Learning Business Intelligence Data Governance 130

Speaker: John Mansour

If you're looking to advance your career in product management, there are more options than just climbing the management ladder. Join our upcoming webinar to learn about highly rewarding career paths that don't involve management responsibilities. We'll cover both career tracks and provide tips on how to position yourself for success in the one that's right for you.

Management

KDnuggets

FEBRUARY 14, 2022

Calculus is the key to fully understanding how neural networks function. Go beyond a surface understanding of this mathematics discipline with these free course materials from MIT.

Deep Learning 160

Deep Learning Machine Learning 160

Analytics Vidhya

FEBRUARY 17, 2022

This article was published as a part of the Data Science Blogathon. Image designed by the author Introduction Guys! Before getting started, just […]. The post K-Fold Cross Validation Technique and its Essentials appeared first on Analytics Vidhya.

IT 331

IT Data Science Publishing Analytics 331

DataKitchen

FEBRUARY 18, 2022

In this webinar, take a trip to DataOps 101 and learn the basics! The post DataOps For Beginners first appeared on DataKitchen.

130

130

KDnuggets

FEBRUARY 17, 2022

There's no free lunch in machine learning. So, determining which algorithm to use depends on many factors from the type of problem at hand to the type of output you are looking for. This guide offers several considerations to review when exploring the right ML approach for your dataset.

Machine Learning 160

Machine Learning 160

Analytics Vidhya

FEBRUARY 17, 2022

This article was published as a part of the Data Science Blogathon. [link] Introduction If you are reading this article, I am assuming that you are already familiar with Machine Learning, and have a basic idea about it. If not no worries, we will go through step by step to understand Machine Learning and Linear […]. The post Linear Regression with Python Implementation appeared first on Analytics Vidhya.

Machine Learning 323

Machine Learning Data Science Publishing Analytics 323

Smart Data Collective

FEBRUARY 16, 2022

Many people appreciate the benefits of artificial intelligence. It has already transformed many sectors, including cybersecurity and manufacturing. However, few people recognize that AI is also becoming an integral part of the writing process. Many college students and marketers are using AI to generate content. A recent study found that the market for AI in the marketing sector is worth over $107 billion.

Machine Learning 133

Machine Learning Technology Marketing Manufacturing 133

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Generative AI is upending the way product developers & end-users alike are interacting with data. Despite the potential of AI, many are left with questions about the future of product development: How will AI impact my business and contribute to its success? What can product managers and developers expect in the future with the widespread adoption of AI?

Analytics

Boris Evelson

FEBRUARY 14, 2022

Customers are more empowered, and finicky, than ever before. If you don’t create compelling experiences, the competition will grab them. Operating in this age of the customer has been a key challenge and will be for technology and data executives in particular for at least a decade. Accordingly, customer obsession — placing the customer at […].

Technology 98

Technology Business Intelligence 98

KDnuggets

FEBRUARY 18, 2022

AI and machine learning can provide us with these tools. This guide will explore how we can use machine learning to label data.

Machine Learning 155

Machine Learning 155

Analytics Vidhya

FEBRUARY 17, 2022

This article was published as a part of the Data Science Blogathon. Introduction Machine learning models are garbage in garbage-out boxes, and it is essential to address any missing data before feeding it to your model. Missing data in your dataset could be due to multiple reasons like 1) The data was not available. 2) The […]. The post Introductory Note on Imputation Techniques appeared first on Analytics Vidhya.

Machine Learning 314

Machine Learning Data Science Publishing Modeling 314

Smart Data Collective

FEBRUARY 15, 2022

There are many ways that artificial intelligence technology developments are influencing academia. One of the most significant changes that AI has introduced is detecting plagiarism more easily. Artificial intelligence is a game-changer in the fight against plagiarized content. AI is an important way to vet content or academic papers. How AI is Radically Changing the Future of Plagiarism Detection.

Machine Learning 114

Machine Learning Deep Learning Software Technology 114

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Many organizations today are unlocking the power of their data by using graph databases to feed downstream analytics, enahance visualizations, and more. Yet, when different graph nodes represent the same entity, graphs get messy. Watch this essential video with Senzing CEO Jeff Jonas on how adding entity resolution to a graph database condenses network graphs to improve analytics and save your analysts time.

Visualization

Cloudera

FEBRUARY 17, 2022

CDP Private Cloud Base is an on-premises version of Cloudera Data Platform (CDP). This new product combines the best of Cloudera Enterprise Data Hub and Hortonworks Data Platform Enterprise along with new features and enhancements across the stack. This unified distribution is a scalable and customizable platform where you can securely run many types of workloads.

Testing 95

Testing Data Processing Metadata Management 95

KDnuggets

FEBRUARY 18, 2022

Check out this reasoned comparison of 2 critical machine learning algorithms to help you better make an informed decision.

Machine Learning 152

Machine Learning 152

Analytics Vidhya

FEBRUARY 16, 2022

This article was published as a part of the Data Science Blogathon. Introduction In the first part of the series, we saw some most common techniques which we daily use while cleaning the data i.e. text cleaning in NLP. I would recommend if you haven’t read it first read it, which will help you in […]. The post Text Cleaning Methods in NLP | Part-2 appeared first on Analytics Vidhya.

Data Science 305

Data Science Publishing Analytics IT 305

Smart Data Collective

FEBRUARY 15, 2022

Most companies have known for years that big data can be invaluable to their organizations. However, far fewer try to use it effectively. Many don’t have a formal data strategy and even fewer have one that works. According to one study conducted last year, only 13% of companies are effectively delivering on their data strategies. There are a lot of reasons data strategies fail.

Big Data 107

Big Data Data Strategy Strategy Data Quality 107

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

Data Virtualization

FEBRUARY 17, 2022

Reading Time: 3 minutes Data is at the center of every company. Through the information that is generated by a company’s processes on a daily basis, companies can improve decision-making capabilities now for better business results down the road. However, every day, companies generate. The post What is Data Virtualization? Understanding the Concept and its Advantages appeared first on Data Virtualization blog - Data Integration and Modern Data Management Articles, Analysis and Information.

IT 81

IT Data Integration Management Data Lake 81

KDnuggets

FEBRUARY 16, 2022

In this article, I will walk you through how you can use your data science skills to land freelance gigs.

Data Science 157

Data Science 157

Analytics Vidhya

FEBRUARY 17, 2022

This article was published as a part of the Data Science Blogathon. Introduction In this article, we will discuss some of the basic concepts related to Pose Detection. This article will cover a problem of the Computer Vision section of machine learning. In this article, we will gain knowledge of working with Image data and […]. The post Pose Detection Using Computer Vision appeared first on Analytics Vidhya.

Machine Learning 284

Machine Learning Data Science Publishing Analytics 284

Smart Data Collective

FEBRUARY 15, 2022

Data analytics has become a very important part of business management. Large corporations all over the world have discovered the wonders of using big data to develop a competitive edge in an increasingly competitive global market. American Express is an example of a company that has used big data to improve its business model. They can now successfully identify 24% of accounts that will close within four months.

Marketing 101

Marketing Data Analytics Analytics Big Data 101

Speaker: Scott Sehlhorst

We know we want to create products which our customers find to be valuable. Whether we label it as customer-centric or product-led depends on how long we've been doing product management. There are three challenges we face when doing this. The obvious challenge is figuring out what our users need; the non-obvious challenges are in creating a shared understanding of those needs and in sensing if what we're doing is meeting those needs.

Management

Cloudera

FEBRUARY 16, 2022

While it is a little dated, one amusing example that has been the source of countless internet memes is the famous, “is this a chihuahua or a muffin?” classification problem. Figure 01: Is this a chihuahua or a muffin? In this example, the Machine Learning (ML) model struggles to differentiate between a chihuahua and a muffin. The eyes and nose of a chihuahua, combined with the shape of its head and colour of its fur do look surprising like a muffin if we squint at the images in figure 01 above.

Machine Learning 81

Machine Learning Modeling Metadata Recreation/Entertainment 81

KDnuggets

FEBRUARY 14, 2022

Also: How to Learn Math for Machine Learning; 7 Steps to Mastering Machine Learning with Python in 2022; Top Programming Languages and Their Uses; The Complete Collection of Data Science Cheat Sheets – Part 1.

Machine Learning 108

Machine Learning Data Science 108

Analytics Vidhya

FEBRUARY 17, 2022

This article was published as a part of the Data Science Blogathon. Source: [link] What is DATA by Definition? Source: [link] Data are details, facts, statistics, or pieces of information, typically numerical. Data are a set of values of qualitative or quantitative variables about one or more persons or objects. While running a huge […]. The post Importance of Data Governance and its Principles appeared first on Analytics Vidhya.

Data Governance 282

Data Governance IT Statistics Data Science 282

Smart Data Collective

FEBRUARY 18, 2022

Blockchain technology has become a very important part of our lives. It is currently being used in virtually every field from finance to copyright enforcement. However, one of the fields most impacted by blockchain is still the one it was originally created for – cryptocurrency trading. Every major cryptocurrency trading platform uses blockchain technology to some degree.

Cost-Benefit 101

Cost-Benefit Marketing Risk Technology 101

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Start-ups & SMBs launching products quickly must bundle dashboards, reports, & self-service analytics into apps. Customers expect rapid value from your product (time-to-value), data security, and access to advanced capabilities. Traditional Business Intelligence (BI) tools can provide valuable data analysis capabilities, but they have a barrier to entry that can stop small and midsize businesses from capitalizing on them.

Analytics

Smarten

FEBRUARY 17, 2022

What Determines the Success of a Citizen Data Scientist Initiative? By now, every wise business team has acknowledged the advent of digital transformation and the transformation of business users into Citizen Data Scientists. But acknowledging the reality and enabling that reality within the walls of an enterprise are two very different things. Where many businesses fail in implementing the Citizen Data Scientist initiative, it is typical to find that the business has simply decided to deploy th

Predictive Modeling 76

Predictive Modeling Digital Transformation Enterprise Data Science 76

KDnuggets

FEBRUARY 15, 2022

From Oracle, to NoSQL databases, and beyond, read about data management solutions from the early days of the RBDMS to those supporting AI applications.

Management 108

Management Data Science 108

Analytics Vidhya

FEBRUARY 17, 2022

This article was published as a part of the Data Science Blogathon. Introduction Hello, and welcome to the beautiful article where we will learn and discuss various facts related to python Lambda functions. Python is a dynamic yet straightforward typed language, and it provides multiple libraries and in-built functions. There are different methods to perform the […].

Data Science 271

Data Science Publishing Analytics IT 271

TDAN

FEBRUARY 16, 2022

One of the most common and important dialogues is when the enterprise data architect expresses the need to integrate and the project manager is completely focused on developing their specific application. The following type of conversation will often happen: Enterprise Data architect for a large company: “We have been asked to help on this project […].

Enterprise 64

Enterprise Management Data Architecture Data Strategy 64

Speaker: Kevin Kai Wong, President of Emergent Energy Solutions

In today's industrial landscape, the pursuit of sustainable energy optimization and decarbonization has become paramount. Manufacturing corporations across the U.S. are facing the urgent need to align with decarbonization goals while enhancing efficiency and productivity. Unfortunately, the lack of comprehensive energy data poses a significant challenge for manufacturing managers striving to meet their targets.

Manufacturing