Rocket-Powered Data Science

JUNE 28, 2019

Here is a compilation of glossaries of terminology used in data science, big data analytics, machine learning, AI, and related fields: Glossary of common Machine Learning, Statistics and Data Science terms. Machine Learning Glossary at Google. Data Science (and Machine Learning) Dictionary?—?Key

Data Science 218

Data Science Machine Learning Big Data Statistics 218

Analytics Vidhya

MAY 27, 2023

Neural networks involve training a model on tagged text data to predict emotions in new text. Introduction Classifying emotions in sentence text using neural networks involves attributing feelings to a piece of text. It can be achieved through techniques like neural networks or lexicon-based methods.

Modeling 260

Modeling Analytics IT Machine Learning 260

Analytics Vidhya

JANUARY 30, 2023

Introduction Are you curious about how your camera phone automatically tags your photos with keywords or how Google Photos can sort your images by the objects in them? These abilities are made possible by a technique called Bag of Features (BoF).

Analytics 277

Analytics Deep Learning Machine Learning 277

Analytics Vidhya

JANUARY 23, 2023

Despite his high transfer fee tagged to his name, Lukaku’s inability to convert easy chances led to Belgium’s early exit. Introduction The FIFA World Cup 2022 may be over, but the story of Belgian striker Romelu Lukaku’s performance against Croatia will be remembered as one of the tournament’s most heartbreaking tales.

Analytics 282

Analytics Machine Learning 282

Analytics Vidhya

SEPTEMBER 27, 2023

Introduction In recent years, the integration of Artificial Intelligence (AI), specifically Natural Language Processing (NLP) and Machine Learning (ML), has fundamentally transformed the landscape of text-based communication in businesses.

Machine Learning 274

Machine Learning Technology Analytics Modeling 274

AWS Big Data

MARCH 4, 2024

Lake Formation helps you centrally manage, secure, and globally share data for analytics and machine learning. Lake Formation tag-based access control (LF-TBAC) is an authorization strategy that defines permissions based on attributes. In Lake Formation, these attributes are called LF-Tags.

Snapshot 110

Snapshot Data Lake Metadata Recreation/Entertainment 110

Analytics Vidhya

MAY 30, 2022

In any Machine learning task, cleaning or preprocessing the data is as important as model building. This article was published as a part of the Data Science Blogathon. Introduction on NLP Preprocessing Hello friends, In this article, we will discuss text preprocessing techniques used in NLP.

Machine Learning 323

Machine Learning Data Science Publishing Modeling 323

CIO Business Intelligence

JANUARY 13, 2023

The tool, which is built on Google’s Vertex AI Vision and powered by two machine learning models — product recognizer and tag organizer — can be used to identify different product types based on visual imaging and text features, the company said, adding that retailers don’t have to spend time and effort into training their own AI models.

Machine Learning 117

Machine Learning Sales Optimization Modeling 117

The Unofficial Google Data Science Blog

JANUARY 31, 2017

By OMKAR MURALIDHARAN, NIALL CARDIN, TODD PHILLIPS, AMIR NAJMI Given recent advances and interest in machine learning, those of us with traditional statistical training have had occasion to ponder the similarities and differences between the fields. Some branches of machine learning (e.g.

Machine Learning 73

Machine Learning Modeling Statistics Predictive Modeling 73

Rocket-Powered Data Science

FEBRUARY 15, 2023

Most of these rules focus on the data, since data is ultimately the fuel, the input, the objective evidence, and the source of informative signals that are fed into all data science, analytics, machine learning, and AI models. FUD occurs when there is too much hype and “management speak” in the discussions.

Strategy 289

Strategy Experimentation Uncertainty Machine Learning 289

Dataiku

MARCH 30, 2022

It used to be that “performing text analysis” meant reading hundreds of individual comments or documents to manually tag them and identify sentiment and key themes. The last 20 years have seen staggering advancements in the field of Natural Language Processing (NLP).

Machine Learning 98

Machine Learning Modeling IT 98

CIO Business Intelligence

SEPTEMBER 29, 2023

These skills include expertise in areas such as text preprocessing, tokenization, topic modeling, stop word removal, text classification, keyword extraction, speech tagging, sentiment analysis, text generation, emotion analysis, language modeling, and much more.

Deep Learning 142

Deep Learning Machine Learning Modeling Consulting 142

CIO Business Intelligence

NOVEMBER 7, 2022

CIOs seeking big wins in high business-impacting areas where there’s significant room to improve performance should review their data science, machine learning (ML), and AI projects. Are they ready to transform business processes with machine learning capabilities, or will they slow down investments at the first speed bump?

Machine Learning 124

Machine Learning Data Science Experimentation IoT 124

Cloudera

JANUARY 30, 2019

However as organizations look to scale machine learning capabilities, moving from individual users to teams, and from tens to hundreds or even thousands of models in production, they encounter the common limitations of notebooks. We’re looking forward to providing the same benefits to HDP customers with CDSW on HDP. Register Now.

Data Science 72

Data Science Machine Learning Experimentation Cost-Benefit 72

Smart Data Collective

AUGUST 11, 2022

Sustaining the responsible use of machines. Human labeling and data labeling are however important aspects of the AI function as they help to identify and convert raw data into a more meaningful form for AI and machine learning to learn. AI and Machine Learning ensure that data trends are identified.

Data Quality 128

Data Quality Machine Learning Digital Transformation Big Data 128

CIO Business Intelligence

APRIL 8, 2024

Computer vision, AI, and machine learning (ML) all now play a role. Digital Athlete draws data from players’ radio frequency identification (RFID) tags, 38 5K optical tracking cameras placed around the field capturing 60 frames per second, and other data such as weather, equipment, and play type.

Analytics 94

Analytics Broadcasting Predictive Analytics Metrics 94

Domino Data Lab

JULY 1, 2021

statistical model-based techniques – Using Machine Learning we can streamline and simplify the process of building NER models, because this approach does not need a predefined exhaustive set of naming rules. The process of statistical learning can automatically extract said rules from a training dataset. The IOB format.

Modeling 111

Modeling Statistics Testing Metrics 111

AWS Big Data

JANUARY 31, 2023

The second method uses LF-Tags, where users can create and associate LF-Tags to databases and tables and grant permission to IAM principals using LF-Tag policies and expressions. With this new version, Lake Formation users can share catalog resources using LF-Tags at the AWS Organizations level.

Data Lake 80

Data Lake Data Governance Data Architecture Machine Learning 80

Ontotext

APRIL 19, 2024

You can switch out or add to the assisted tagging capabilities you can work with based on the benchmarking, so you’re able to optimize the result. While reinforced learning with human feedback (RLHF) is valid for chatbots and LLMs, it’s just as valid for traditional machine learning and has been for decades,” Ivo says.

Metadata 52

Metadata Statistics Interactive Enterprise 52

AWS Big Data

SEPTEMBER 19, 2023

We decided to explore streaming analytics solutions where we can capture, transform, and store event streams at scale, and serve rule-based fraud detection models and machine learning (ML) models with milliseconds latency. To achieve cost efficiency, our team built a cost attribution dashboard based on AWS cost allocation tags.

Analytics 77

Analytics Risk Big Data Machine Learning 77

Smart Data Collective

APRIL 5, 2022

They are using tools like Amazon SageMaker to take advantage of more powerful machine learning capabilities. Amazon SageMaker is a hardware accelerator platform that uses cloud-based machine learning technology. IBM Watson Studio is a very popular solution for handling machine learning and data science tasks.

Cost-Benefit 121

Cost-Benefit Machine Learning Data Science Unstructured Data 121

Smart Data Collective

NOVEMBER 21, 2021

SEO-based artificial intelligence systems are capable of the following: Conducting site performance analysis Assisting with keyword research Improving the quality of your material Making appropriate tag recommendations Assisting advertisers in determining the optimal time to post content. Targeting Specific Customers.

Strategy 143

Strategy Advertising Machine Learning Marketing 143

DataKitchen

OCTOBER 28, 2021

Machine learning (ML) models are computer programs that draw inferences from data — usually lots of data. Once targets are defined, data professionals can iterate on eliminating bias from machine learning models. What Is AI Bias? You’ve probably encountered AI innumerable times in the course of being an average consumer.

Testing 130

Testing IT Manufacturing Metrics 130

CDW Research Hub

JULY 22, 2022

Tag-Based Data Masking. Snowflake’s new tag-based masking policies add a much-needed functionality change that enables easier use, future capabilities, and less overall code to maintain. Policy administrators can create a policy for each data type and assign all of those policies to a single tag. Unistore and Hybrid Tables.

Data Lake 84

Data Lake Data Governance Consulting Machine Learning 84

AWS Big Data

APRIL 18, 2024

Other teams including the Data Science and Machine Learning teams use the platform to detect, analyze, and control security threats. Machine learning and other data analytics consumers (Trino, Flink, and Spark Jobs) These consumers consume from the silver layer of the TIP data lake and run analytics for security detection use cases.

Optimization 85

Optimization Data Lake Management Key Performance Indicator 85

CIO Business Intelligence

FEBRUARY 9, 2024

Digital Athlete is a platform that leverages AI and machine learning (ML) to predict from plays and body positions which players are at the highest risk of injury. This season, the NFL has worked closely with Amazon Web Services (AWS) to debut a new joint effort: Digital Athlete.

Recreation/Entertainment 129

Recreation/Entertainment Data-driven Risk Digital Transformation 129

Cloudera

OCTOBER 30, 2023

The public cloud is increasingly becoming the preferred platform to host data analytics – related projects, such as business intelligence, machine learning (ML), and AI applications. Afterward, those tags are also used to track resource usage, assign usage to cost centers/departments, and trigger automation policies. Why FinOps?

Analytics 75

Analytics Cost-Benefit ROI Business Objectives 75

Smart Data Collective

FEBRUARY 4, 2021

Likewise, it consists of an auto-tag that will repeat all expenses, letting you differentiate between business and personal expenses. The savvy tracking tools allow you to speed tag the expenses, which means you can tag several expenses in a few taps. Find Tax Deductibles with Machine Learning.

Data Analytics 141

Data Analytics Analytics Cost-Benefit Big Data 141

Smart Data Collective

JANUARY 18, 2021

By learning how to optimize for YouTube’s algorithm by understanding its dependence on big data, you’ll have a major leg up over creators who simply upload and hope for the best. So, the keywords you say in your videos are just as important as the ones you type into the title, tags, and description. Choosing Your Tags.

Data Analytics 103

Data Analytics Analytics Data mining Big Data 103

Ontotext

FEBRUARY 1, 2024

When our auto-categorization engine, Graphite Knowledge Studio, tags content with metadata derived from taxonomies, we also capture and store this content metadata inside the knowledge graph, thereby linking concepts to the content they describe. What do we mean by content aware knowledge graphs?

Enterprise 59

Enterprise Management Metadata Modeling 59

Decision Management Solutions

JUNE 8, 2023

Do you have a business problem that would benefit from advanced decision automation and machine learning? This project is a beautiful example of combining a wide variety of technology to answer complicated questions. This project is a beautiful example of combining a wide variety of technology to answer complicated questions.

Machine Learning 40

Machine Learning Measurement Data Collection Management 40

Rocket-Powered Data Science

MARCH 10, 2020

The book Graph Algorithms: Practical Examples in Apache Spark and Neo4j is aimed at broadening our knowledge and capabilities around these types of graph analyses, including algorithms, concepts, and practical machine learning applications of the algorithms. Your team will become graph heroes.

Metadata 250

Metadata Machine Learning ROI Prescriptive Analytics 250

CIO Business Intelligence

JANUARY 15, 2024

It uses Google Cloud’s Vertex AI machine learning platform to power a natural language chat interface that enables retail staff to explore inventory information. Its SaaS-based Shrink Analyzer application uses a combination of RFID tags, computer vision linked to in-store CCTV, and analytics to help retailers identify causes of loss.

Sales 87

Sales Software Forecasting Statistics 87

Smart Data Collective

JULY 1, 2023

Image annotation is the act of labeling images for AI and machine learning models. It involves human annotators using a tool to label images or tag relevant information. The resulting structured data is then used to train a machine learning algorithm.

Metrics 63

Metrics Machine Learning Uncertainty Deep Learning 63

Laminar Security

DECEMBER 13, 2023

However, the advent of AI and machine learning (ML) has revolutionized this process. The power of AI and data classification Data classification , often referred to as “tagging” or “labeling”, is a crucial process that categorizes data based on its type and sensitivity.

Data-driven 119

Data-driven Machine Learning Risk Deep Learning 119

Smart Data Collective

AUGUST 18, 2021

Accountants are using new software with sophisticated machine learning algorithms to better address the nuances of their situations. You need robust software solutions with complex machine learning and data analytics algorithms to systematize, simplify, and standardize them for more precise, compliant reports.

Data-driven 120

Data-driven Software Big Data Visualization 120

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. noun, verb, adjective, etc.),

Data mining 56

Data mining Machine Learning Deep Learning Marketing 56