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 153

Machine Learning Testing 153

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 139

Big Data Forecasting Data-driven ROI 139

Analytics Vidhya

DECEMBER 24, 2021

This article was published as a part of the Data Science Blogathon Introduction According to a report, 55% of businesses have never used a machine learning model before. Eighty-Five per cent of the models will not be brought into production. Lack of skill, a lack of change-management procedures, and the absence of automated systems are some […].

Machine Learning 389

Machine Learning Data Science Publishing Reporting 389

DataKitchen

DECEMBER 22, 2021

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

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Large enterprises face unique challenges in optimizing their Business Intelligence (BI) output due to the sheer scale and complexity of their operations. Unlike smaller organizations, where basic BI features and simple dashboards might suffice, enterprises must manage vast amounts of data from diverse sources. What are the top modern BI use cases for enterprise businesses to help you get a leg up on the competition?

Business Intelligence

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 154

Machine Learning 154

Smart Data Collective

DECEMBER 22, 2021

Startups need to take advantage of the latest technology in order to remain competitive. Big data technology is one of the most important forms of technology that new startups must use to gain a competitive edge. The success of your startup might depend on your ability to use big data to your full advantage. But you have to know how to do so effectively.

Big Data 137

Big Data Data mining Data-driven Predictive Analytics 137

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 376

Optimization Machine Learning Interactive Data Science 376

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📌Is your Data & AI transformation struggling to really impact the business? Discover the game-changing StratOps approach that: Bridges the Gap : Connect your Data & AI strategy to your operating model, to ensure alignment at every level. Prioritizes Outcomes : Focuses on concrete business outcomes from day one, rather than capabilities in isolation.

Data-driven

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 117

Snapshot Data-driven Optimization Data Architecture 117

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 152

Modeling Machine Learning 152

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 136

Optimization Machine Learning Data mining Statistics 136

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 376

Modeling Sales Data Science Publishing 376

Speaker: Mike Rizzo, Founder & CEO, MarketingOps.com and Darrell Alfonso, Director of Marketing Strategy and Operations, Indeed.com

Though rarely in the spotlight, marketing operations are the backbone of the efficiency, scalability, and alignment that define top-performing marketing teams. In this exclusive webinar led by industry visionaries Mike Rizzo and Darrell Alfonso, we’re giving marketing operations the recognition they deserve! We will dive into the 7 P Model —a powerful framework designed to assess and optimize your marketing operations function.

Marketing

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 113

Sales Uncertainty Testing Digital Transformation 113

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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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 131

Big Data IoT Cost-Benefit Interactive 131

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 364

Data Science Publishing Analytics IT 364

Speaker: Jay Allardyce, Deepak Vittal, and Terrence Sheflin

As we look ahead to 2025, business intelligence and data analytics are set to play pivotal roles in shaping success. Organizations are already starting to face a host of transformative trends as the year comes to a close, including the integration of AI in data analytics, an increased emphasis on real-time data insights, and the growing importance of user experience in BI solutions.

Business Intelligence

Depict Data Studio

DECEMBER 21, 2021

6,000 total participants in our dataviz training academy so far (with 5 cohorts going through our Full Courses in 2021 alone). 28 blog posts. 14 YouTube videos. 6 podcast interviews. 1 new baby. What a year. Top 21 Dataviz Resources of 2021. Want to do some year-end learning as 2021 winds down? Here are our favorite 21 data visualization resources from the past year.

Visualization 105

Visualization Dashboards Statistics Reporting 105

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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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 116

Optimization Cost-Benefit Technology Strategy 116

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 359

Data Science Publishing Analytics Modeling 359

Speaker: Donna Laquidara-Carr, PhD, LEED AP, Industry Insights Research Director at Dodge Construction Network

In today’s construction market, owners, construction managers, and contractors must navigate increasing challenges, from cost management to project delays. Fortunately, digital tools now offer valuable insights to help mitigate these risks. However, the sheer volume of tools and the complexity of leveraging their data effectively can be daunting. That’s where data-driven construction comes in.

Data-driven

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 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 137

Analytics 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 20, 2021

This article was published as a part of the Data Science Blogathon Introduction In the last article, we have discussed implementing the BERT model using the TensorFlow hub; you can read it here. Implementing BERT using the TensorFlow hub was tedious since we had to perform every step from scratch. First, we build our tokenizer, then […]. The post Multiclass Classification Using Transformers for Beginners appeared first on Analytics Vidhya.

Data Science 353

Data Science Publishing Modeling Analytics 353

Speaker: Christophe Louvion, Chief Product & Technology Officer of NRC Health and Tony Karrer, CTO at Aggregage

Christophe Louvion, Chief Product & Technology Officer of NRC Health, is here to take us through how he guided his company's recent experience of getting from concept to launch and sales of products within 90 days. In this exclusive webinar, Christophe will cover key aspects of his journey, including: LLM Development & Quick Wins 🤖 Understand how LLMs differ from traditional software, identifying opportunities for rapid development and deployment.

Sales

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 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 134

Technology IT 134

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 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 358

Modeling Data Science Testing Publishing 358

Speaker: Jesse Simms, VP at Giant Partners

This new, thought-provoking webinar will explore how even incremental efforts and investments in your data can have a tremendous impact on your direct mail and multi-channel marketing campaign results! Industry expert Jesse Simms, VP at Giant Partners, will share real-life case studies and best practices from client direct mail and digital campaigns where data modeling strategies pinpointed audience members, increasing their propensity to respond – and buy.

Modeling