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 158

Machine Learning Testing 158

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.

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Big Data Forecasting Data-driven ROI 142

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 23, 2021

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

Big Data 246

Big Data 246

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Many software teams have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth. This is where Coder comes in. In our 101 Coder webinar, you’ll explore how cloud-based development environments can unlock new levels of productivity. Discover how to transition from local setups to a secure, cloud-powered ecosystem with ease.

Optimization

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 160

Machine Learning 160

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.

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Big Data Data mining Data-driven Predictive Analytics 140

DataKitchen

DECEMBER 22, 2021

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

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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

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 139

Optimization Machine Learning Data mining Statistics 139

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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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

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

KDnuggets

DECEMBER 23, 2021

Learn about the importance of environmental AI and its carbon impact in this comprehensive review.

IT 160

IT Deep Learning Machine Learning 160

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 135

Big Data IoT Cost-Benefit Interactive 135

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 383

Optimization Machine Learning Interactive Data Science 383

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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.

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Snapshot Data-driven Optimization Management 123

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 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 122

Optimization Cost-Benefit Technology Strategy 122

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 374

Modeling Data Science Testing Publishing 374

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 24, 2021

Check out these key development issues and tips learned from personal experience when deploying a TensorFlow-based image classifier Streamlit app on a Heroku server.

Deep Learning 159

Deep Learning 159

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

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 370

Data Science Publishing Technology Analytics 370

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Cloud Development Environments (CDEs) are changing how software teams work by moving development to the cloud. Our Cloud Development Environment Adoption Report gathers insights from 223 developers and business leaders, uncovering key trends in CDE adoption. With 66% of large organizations already using CDEs, these platforms are quickly becoming essential to modern development practices.

Reporting

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

KDnuggets

DECEMBER 21, 2021

Read on to learn more about the intricacies of federated learning and what it can do for machine learning on sensitive data.

Machine Learning 160

Machine Learning IT 160

Smart Data Collective

DECEMBER 22, 2021

There is no question that big data is changing the nature of business in spectacular ways. A growing number of companies are discovering new data analytics applications, which can help them streamline many aspects of their operations. Data-driven businesses can develop their own infrastructure and handle all of their data management processes in-house.

Data-driven 101

Data-driven Big Data Cost-Benefit Software 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 364

Data Science Publishing Analytics IT 364

Speaker: Jay Allardyce, Deepak Vittal, Terrence Sheflin, and Mahyar Ghasemali

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

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.

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Uncertainty 98

KDnuggets

DECEMBER 21, 2021

The all-knowing chatbots we once thought to be the future have been replaced by specialized bots, and the results are outstanding.

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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 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 361

Data Science Publishing Analytics Modeling 361

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