Data Science 101

DECEMBER 11, 2019

This weeks guest post comes from KDD (Knowledge Discovery and Data Mining). Every year they host an excellent and influential conference focusing on many areas of data science. Honestly, KDD has been promoting data science way before data science was even cool. 1989 to be exact. The details are below.

KDD 81

KDD Knowledge Discovery Data mining Data Science 81

Analytics Vidhya

OCTOBER 28, 2022

Introduction The generalization of machine learning models is the ability of a model to classify or forecast new data. When we train a model on a dataset, and the model is provided with new data absent from the trained set, it may perform […].

Machine Learning 399

Machine Learning Modeling Forecasting Data Science 399

Domino Data Lab

MARCH 11, 2021

In this article, you will learn: How to Choose the Right ML Framework Evaluating Your Needs Parameter Optimization Scaling Training and Deployment Top Machine Learning Frameworks TensorFlow PyTorch Sci-Kit Learn H2O How Domino makes it easy to use the ML Framework that best suits your needs. Top Machine Learning Frameworks.

Machine Learning 143

Machine Learning Deep Learning Insurance Modeling 143

CIO Business Intelligence

FEBRUARY 10, 2023

Predictive analytics in business Predictive analytics draws its power from a wide range of methods and technologies, including big data, data mining, statistical modeling, machine learning, and assorted mathematical processes. from 2022 to 2028. As such it can help adopters find ways to save and earn money.

Predictive Analytics 145

Predictive Analytics Analytics Predictive Modeling Forecasting 145

Smart Data Collective

FEBRUARY 14, 2021

New SaaS businesses have discovered that data analytics is important for facilitating many aspects of their models. The global market for SaaS was worth $157 billion last year and will keep growing as new data analytics tools facilitate its success. Big Data Technology is Pivotal to SaaS Deployments.

Data-driven 106

Data-driven Big Data Deep Learning Data mining 106

Sisense

APRIL 10, 2020

These visualizations are useful for helping people visualize and understand trends , outliers, and patterns in data. Python’s readable syntax makes it easy to learn and understand, since it can be read much like a human language. These libraries are used for data collection, analysis, data mining, visualizations, and ML modeling.

Deep Learning 98

Deep Learning Data Science Machine Learning Visualization 98

CIO Business Intelligence

AUGUST 11, 2023

Here are three examples of how organizations are putting the technology to work: Edmunds drives traffic with GPT: The online resource for automotive inventory and information has created a ChatGPT plugin that exposes its unstructured data — vehicle reviews, ratings, editorials — to the generative AI. Chatbots work the same way.

Unstructured Data 142

Unstructured Data Machine Learning Data Science Data mining 142

Rocket-Powered Data Science

DECEMBER 15, 2018

Many unsupervised learning models can converge more readily and be more valuable if we know in advance which parameterizations are best to choose. If we cannot know that ( i.e., because it truly is unsupervised learning), then we would like to know at least that our final model is optimal (in some way) in explaining the data.

Machine Learning 171

Machine Learning Optimization Metrics Deep Learning 171

Rocket-Powered Data Science

DECEMBER 16, 2018

This now gets to the heart of meta-learning. It is focused on learning the right tasks to perform and on tuning the modeling hyper-parameters. Workshop on Meta-Learning (MetaLearn 2018). There are still more choices, as shown in the list of 24 neural network adjustments , which includes architecture and hyperparameter tuning.

Machine Learning 203

Machine Learning Metrics Optimization Data Science 203

Smart Data Collective

AUGUST 20, 2021

A lot of developers are using machine learning algorithms to better understand their customers, create more targeted ads (if they have apps based on ad monetization), provide better features and streamline the design process. Machine learning can be surprisingly useful when it comes to monetizing apps.

Machine Learning 90

Machine Learning Data mining Advertising Deep Learning 90

Smart Data Collective

MAY 8, 2022

When you combine big data with AI, you can help your users extract highly-valuable insights from data, foster data literacy across your company or organization, and take advantage of the many other benefits it offers. How big data analytics and AI can help you boost your business performance. Business analytics.

Big Data 122

Big Data Data Analytics Analytics Cost-Benefit 122

Smart Data Collective

APRIL 3, 2020

However, there are also a lot of other benefits big data creates that don’t get as much publicity. One of the biggest benefits of big data is that it can create giveaway bots for online businesses. Big Data is the Future of Giveaway Offerings. These new types of data technology are a lifesaver for countless entrepreneurs.

Big Data 116

Big Data Data-driven Data mining Software 116

CIO Business Intelligence

JANUARY 19, 2024

Data scientist is one of the hottest jobs in IT. Companies are increasingly eager to hire data professionals who can make sense of the wide array of data the business collects. The exam tests your knowledge of and ability to integrate machine learning into various tools and applications.

Data Science 127

Data Science Machine Learning Predictive Modeling Forecasting 127

FineReport

DECEMBER 19, 2019

Professional data analysts must have a wealth of business knowledge in order to know from the data what has happened and what is about to happen. In addition, tools for data analysis and data mining are also important. Excel, Python, Power BI, Tableau, FineReport are frequently used by data analysts.

Knowledge Discovery 98

Knowledge Discovery Visualization Data mining Reporting 98

CIO Business Intelligence

APRIL 6, 2022

There are several factors that can reduce organizational efficiency: Infrastructure: Many IT environments have disparate systems in silos, making it difficult to accelerate the flow of data between systems. Increase in data: The amount of data organizations generate continues to increase at an astonishing rate.

Data mining 73

Data mining Deep Learning Insurance Visualization 73

IBM Big Data Hub

DECEMBER 15, 2023

Similarly, online educational platforms like Coursera and edX use open-source AI to personalize learning experiences, tailor content recommendations and automate grading systems. TensorFlow allows programmers to construct and deploy machine learning models across various platforms and devices. Morgan and Spotify.

Deep Learning 64

Deep Learning Experimentation Machine Learning Risk 64

Smart Data Collective

APRIL 3, 2020

However, there are also a lot of other benefits big data creates that don’t get as much publicity. One of the biggest benefits of big data is that it can create giveaway bots for online businesses. Big Data is the Future of Giveaway Offerings. These new types of data technology are a lifesaver for countless entrepreneurs.

Big Data 84

Big Data Data-driven Data mining Software 84

CIO Business Intelligence

MARCH 13, 2024

L’analisi dei dati attraverso l’apprendimento automatico (machine learning, deep learning, reti neurali) è la tecnologia maggiormente utilizzata dalle grandi imprese che utilizzano l’IA (51,9%). Le reti neurali sono il modello di machine learning più utilizzato oggi.

Machine Learning 106

Machine Learning Deep Learning Big Data Testing 106

IBM Big Data Hub

JULY 6, 2023

What is data science? Data science is a broad, multidisciplinary field that extracts value from today’s massive data sets. It uses advanced tools to look at raw data, gather a data set, process it, and develop insights to create meaning. What is machine learning?

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Machine Learning Data Science Statistics Deep Learning 54

Jedox

JULY 31, 2018

Part one of our blog series explored how people are the driving force behind the digital transformation and how it is fueled by artificial intelligence and machine learning. It quickly processes large amounts of data from internal and external sources, so users can recognize patterns and gain deeper insights to make better decisions.

Technology 44

Technology Prescriptive Analytics Machine Learning Business Intelligence 44

IBM Big Data Hub

AUGUST 28, 2023

Text mining —also called text data mining—is an advanced discipline within data science that uses natural language processing (NLP) , artificial intelligence (AI) and machine learning models, and data mining techniques to derive pertinent qualitative information from unstructured text data.

Data mining 53

Data mining Machine Learning Deep Learning Marketing 53

IBM Big Data Hub

AUGUST 11, 2023

Machine learning (ML), a subset of artificial intelligence (AI), is an important piece of data-driven innovation. Machine learning engineers take massive datasets and use statistical methods to create algorithms that are trained to find patterns and uncover key insights in data mining projects.

Data Science 53

Data Science Machine Learning Cost-Benefit Deep Learning 53

Ontotext

MAY 22, 2023

At the same time, most data management (DM) applications require 100% correct retrieval, 0% hallucination! Many enterprise data and knowledge management tasks require strict agreement, with a firm deterministic contract, about the meaning of the data. We use other deep learning techniques for such tasks.

Management 59

Management Unstructured Data Metadata Cost-Benefit 59

BizAcuity

MARCH 31, 2022

There have been so many articles published about AI and its applications, you can find millions of articles from broad concepts to deep technical literature on the internet. You must be tired of continuously hearing quotes like, ‘data is the new oil’ and what not. Lack of a solid data strategy. Uncertain economic conditions.

Data Analytics 52

Data Analytics Analytics Prescriptive Analytics Predictive Analytics 52

Domino Data Lab

AUGUST 1, 2021

This can be attributed to the popularity that machine learning algorithms, and more specifically deep learning, has been gaining in various domains. It is not possible to fully understand the inferential process of a deep neural network and to prove that it would generalise as expected. According to Fox et al.,

Modeling 139

Modeling Deep Learning Machine Learning Knowledge Discovery 139