KDnuggets

DECEMBER 22, 2021

What is going on when machine learning can't make the jump from testing to production, and so doesn't add any business value?

Machine Learning 152

Machine Learning Testing 152

Smart Data Collective

DECEMBER 22, 2021

Big data technology has become an invaluable asset to so many organizations around the world. There are a lot of benefits of utilizing data technology, such as improving financial reporting, forecasting marketing trends and efficient human resource allocation. It is crucial to business growth , as companies transition to more digital business models.

Big Data 137

Big Data Forecasting Data-driven ROI 137

Analytics Vidhya

DECEMBER 21, 2021

This article was published as a part of the Data Science Blogathon Introduction Text classification is a machine-learning approach that groups text into pre-defined categories. It is an integral tool in Natural Language Processing (NLP) used for varied tasks like spam and non-spam email classification, sentiment analysis of movie reviews, detection of hate speech in social […].

Machine Learning 400

Machine Learning Data Science Publishing Analytics 400

DataKitchen

DECEMBER 22, 2021

The post Reducing The Cost Of Failure With DataOps first appeared on DataKitchen.

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246

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

DECEMBER 23, 2021

Data Science models come with different flavors and techniques — luckily, most advanced models are based on a couple of fundamentals. Which models should you learn when you want to begin a career as Data Scientist? This post brings you 6 models that are widely used in the industry, either in standalone form or as a building block for other advanced techniques.

Predictive Modeling 160

Predictive Modeling Modeling Data Science Machine Learning 160

Juice Analytics

DECEMBER 24, 2021

?? Exploratory data analysis is.the "herding cats" ?? stage of working with data. It is a chaotic, often solitary, exercise requiring persistence in search of insights.finding what matters in the data by connecting data sources, determining relationships within the data, and understanding what measures and dimensions are most important.the starting point for working with data.

Interactive 137

Interactive Measurement Visualization Reporting 137

DataKitchen

DECEMBER 23, 2021

The post 2022 Big Data Predictions from the Cloud first appeared on DataKitchen.

Big Data 246

Big Data 246

KDnuggets

DECEMBER 24, 2021

Feature selection methodologies go beyond filter, wrapper and embedded methods. In this article, I describe 3 alternative algorithms to select predictive features based on a feature importance score.

Machine Learning 158

Machine Learning 158

Smart Data Collective

DECEMBER 19, 2021

The rise of machine learning and the use of Artificial Intelligence gradually increases the requirement of data processing. That’s because the machine learning projects go through and process a lot of data, and that data should come in the specified format to make it easier for the AI to catch and process. Likewise, Python is a popular name in the data preprocessing world because of its ability to process the functionalities in different ways.

Optimization 135

Optimization Machine Learning Data mining Statistics 135

Analytics Vidhya

DECEMBER 24, 2021

This article was published as a part of the Data Science Blogathon Introduction Time series data is the collection of data at specific time intervals like on an hourly basis, weekly basis. Stock market data, e-commerce sales data is perfect example of time-series data. Time-series data analysis is different from usual data analysis because you can […].

Modeling 392

Modeling Sales Data Science Publishing 392

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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

Cloudera

DECEMBER 21, 2021

Since the release of Cloudera Data Engineering (CDE) more than a year ago , our number one goal was operationalizing Spark pipelines at scale with first class tooling designed to streamline automation and observability. In working with thousands of customers deploying Spark applications, we saw significant challenges with managing Spark as well as automating, delivering, and optimizing secure data pipelines.

Snapshot 115

Snapshot Data-driven Optimization Management 115

KDnuggets

DECEMBER 20, 2021

XGBoost is an open-source implementation of gradient boosting designed for speed and performance. However, even XGBoost training can sometimes be slow. This article will review the advantages and disadvantages of each approach as well as go over how to get started.

Modeling 154

Modeling Machine Learning 154

Smart Data Collective

DECEMBER 21, 2021

Big data is a phrase that the industry coined in 1987 , but it took years before it became truly popular. By the time the name was a household term, big data was everywhere, and companies were seeking ways to store and use the data. Data scientists knew that big data could hold valuable insights. The key was finding a way to analyze it as it continued to flood in constantly.

Big Data 129

Big Data IoT Cost-Benefit Interactive 129

Analytics Vidhya

DECEMBER 24, 2021

This article was published as a part of the Data Science Blogathon About Streamlit Streamlit is an open-source Python library that assists developers in creating interactive graphical user interfaces for their systems. It was designed especially for Machine Learning and Data Scientist team. Using Streamlit, we can quickly create interactive web apps and deploy them.

Optimization 382

Optimization Machine Learning Interactive Data Science 382

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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

Jedox

DECEMBER 22, 2021

A sales compensation plan that motivates your sales team to reach their maximum potential is something sales executive dreams of. Ultimately, the most success is achieved through effective motivation. This blog post outlines three key factors that transform your sales compensation plan into a powerful source of motivation. A lack of oversight into performance, delayed compensation payments, unsatisfactory sales incentives and commission payments.

Sales 110

Sales Uncertainty Testing Digital Transformation 110

KDnuggets

DECEMBER 22, 2021

Start your learning journey in Reinforcement Learning with this first of two part tutorial that covers the foundations of the technique with examples and Python code.

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154

Smart Data Collective

DECEMBER 22, 2021

Artificial intelligence has become an invaluable form of technology for fostering better communications in the workplace. Artificial intelligence has been a beneficial changing force for many forms of communication technology. Video messaging is just one example. Video technology is becoming much more sophisticated. More video messaging services are dependent on data analytics, as the analytics in video market is growing over 20% a year.

Optimization 112

Optimization Cost-Benefit Technology Strategy 112

Analytics Vidhya

DECEMBER 22, 2021

This article was published as a part of the Data Science Blogathon Dear readers, In this blog, let’s build our own custom CNN(Convolutional Neural Network) model all from scratch by training and testing it with our custom image dataset. This is, of course, mostly considered a more impressive work rather than training a pre-trained CNN model […].

Modeling 370

Modeling Data Science Testing Publishing 370

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

Dataiku

DECEMBER 21, 2021

The stakes have never been higher in a changing world that demands constant agility and adaptability from businesses across all industries, and the race is on for organizations to fully transform with AI. That said, urgency doesn’t translate to ease. Many organizations still feel overwhelmed by the decisions and challenges that stand in the way of implementing AI throughout their business processes.

Uncertainty 98

Uncertainty 98

KDnuggets

DECEMBER 21, 2021

Customizable, real-time data labeling pipelines that can continuously receive and process unlabeled data are necessary to train and perfect the AI that impacts our lives and daily conveniences.

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137

DataRobot

DECEMBER 20, 2021

The value of AI these days is undeniable. However, in a fast-changing environment, a decision made at the right time is critical. We collect more and more diverse data types, and we’re not always sure how we can turn this data into real value. Sometimes it takes hours and days of experimenting to get valuable insights. Or even if we have a pretty good understanding of the problem, there is not enough data to run a successful project and deliver impact back to the business.

Visualization 97

Visualization Deep Learning Machine Learning Modeling 97

Analytics Vidhya

DECEMBER 19, 2021

This article was published as a part of the Data Science Blogathon Hello and welcome to the interesting article that revolves around a very cheesy and hot topic in trending technologies which is NLP(Natural Language Processing). In this article, we will learn what exactly is NLP, what makes it complex to learn and what challenges do […]. The post Complete NLP Landscape from 1960 to 2020 appeared first on Analytics Vidhya.

Data Science 364

Data Science Publishing Technology Analytics 364

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

Dataiku

DECEMBER 20, 2021

The encoder-decoder framework is undoubtedly one of the most popular concepts in deep learning. Widely used to solve sophisticated tasks such as machine translation, image captioning, and text summarization, it has led to great breakthroughs.

Deep Learning 98

Deep Learning Forecasting IT 98

KDnuggets

DECEMBER 20, 2021

Many real-world datasets consist of records of events that occur at arbitrary and irregular intervals. These datasets then need to be processed into regular time series for further analysis. We will use the AI & Analytics Engine to illustrate how you can prepare your time-series data in just 1 step.

Analytics 138

Analytics 138

Jen Stirrup

DECEMBER 20, 2021

I know you will see this message. I’ve emailed you to ask you to stop it. Stop copying my posts and material and passing them off as your own. You are not me, and you never will be. Find your own voice. Write about your own experiences, successes and failures. You bring shame upon yourself by tritely stealing my work. This is straightforward thievery of my time, ideas and content.

IT 101

IT 101

Analytics Vidhya

DECEMBER 21, 2021

This article was published as a part of the Data Science Blogathon Introduction When data is collected, there is a need to interpret and analyze it to provide insight into it. This insight can be about patterns, trends, or relationships between variables. Data interpretation is the process of reviewing data through well-defined methods. They help assign meaning […].

Data Science 357

Data Science Publishing Analytics IT 357

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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

CDW Research Hub

DECEMBER 20, 2021

The Apache Log4j remote code vulnerability discovered in early December has the entire cybersecurity industry—from practitioners to vendors—scrambling to understand the exploit, identify impacted systems, and determine the best response, especially if quickly updating systems isn’t possible. Severity and impact. If you don’t already know what the Log4j 0-day exploit is and what it means, this article is a primer, but here are a few quick facts: Vendor application: Apache Log4j (v2).

Testing 93

Testing Measurement IoT Risk 93

KDnuggets

DECEMBER 21, 2021

If you have clear, well-defined objectives, it won’t be hard to identify the ETL technology that best meets your needs. Here are some of the best ETL tools you can use in your business.

Technology 135

Technology IT 135

FineReport

DECEMBER 23, 2021

As important parts of business intelligence, scorecards and dashboards can both play an obvious role in promoting enterprise performance management. However, many users are confused with the difference between scorecard vs. dashboard. This article aims to provide a reference for the choice of enterprises. Definition of scorecard and dashboard. What is a scorecard?

Scorecard 83

Scorecard Dashboards Key Performance Indicator Business Intelligence 83

Analytics Vidhya

DECEMBER 23, 2021

This article was published as a part of the Data Science Blogathon. Overview · Markovian Assumption states that the past doesn’t give a piece of valuable information. Given the present, history is irrelevant to know what will happen in the future. · Markov Chain is a stochastic process that follows the Markovian Assumption. · Markov chain […].

Data Science 353

Data Science Publishing Analytics Modeling 353

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