Analytics Vidhya

MAY 30, 2022

This article was published as a part of the Data Science Blogathon. Introduction on Feature Extraction In Natural Language Processing, Feature Extraction is one of the most important steps to be followed for a better understanding of the context of what we are dealing with. After the initial text is cleaned, we need to transform […]. The post A Complete Guide on Feature Extraction Techniques appeared first on Analytics Vidhya.

Data Science 352

Data Science Publishing Analytics 352

KDnuggets

MAY 30, 2022

Also: Decision Tree Algorithm, Explained; Data Science Projects That Will Land You The Job in 2022; The 6 Python Machine Learning Tools Every Data Scientist Should Know About; Naïve Bayes Algorithm: Everything You Need to Know.

Data Science 160

Data Science Machine Learning 160

Analytics Vidhya

MAY 30, 2022

This article was published as a part of the Data Science Blogathon. Introduction on Docker Docker is everywhere in the world of the software industry today. Docker is a DevOps tool and is very popular in the DevOps and MLOPS world. Docker has stolen the hearts of many developers, system administrators, and engineers, among others. […]. The post A Complete Guide for Deploying ML Models in Docker appeared first on Analytics Vidhya.

Modeling 350

Modeling Data Science Publishing Software 350

KDnuggets

MAY 30, 2022

A machine learning engineer is a programmer proficient in building and designing software to automate predictive models. They have a deeper focus on computer science, compared to data scientists.

Machine Learning 160

Machine Learning Predictive Modeling Software Modeling 160

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

Analytics Vidhya

MAY 30, 2022

This article was published as a part of the Data Science Blogathon. Introduction on Web 3.0 Have you ever noticed the advertisements for similar shows you watched on Amazon prime Video while reading a completely irrelevant article on a totally different website? Also, have you experienced coming across the same book or the same kind […]. The post Web 3.0: Tomorrow’s Websites!

Advertising 346

Advertising Data Science Publishing Analytics 346

KDnuggets

MAY 30, 2022

Get into the highly in-demand world of data engineering for free and earn 6 figures salary.

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160

KDnuggets

MAY 30, 2022

Interested in a survey of important database concepts and terminology? This post concisely defines 16 essential database key terms.

Data Science 132

Data Science 132

Analytics Vidhya

MAY 30, 2022

This article was published as a part of the Data Science Blogathon. Introduction ADLS Gen2 The ADLS Gen2 service is built upon Azure Storage as its foundation. It combines the capabilities of ADLS Gen1 with Azure Blob Storage. Azure Data Lake Storage is capable of storing large quantities of structured, semi-structured, and unstructured data in […].

Data Lake 332

Data Lake Unstructured Data Data Science Publishing 332

CIO Business Intelligence

MAY 30, 2022

TOGAF definition. The Open Group Architecture Framework (TOGAF) is an enterprise architecture methodology that offers a high-level framework for enterprise software development. TOGAF helps organize the development process through a systematic approach aimed at reducing errors, maintaining timelines, staying on budget, and aligning IT with business units to produce quality results.

Enterprise 94

Enterprise Software Digital Transformation ROI 94

Analytics Vidhya

MAY 30, 2022

This article was published as a part of the Data Science Blogathon. Introduction SQL, Structured Query Language, is a query language. It is used for data manipulation, retrieval, and exploration and is the core data handling tool for relational databases. SQL gets used by data scientists, analysts, web developers, and other tech geeks for data […].

Data Science 313

Data Science Publishing Analytics IT 313

Speaker: David Bard, Principal at VP Product Coaching

In the fast-paced world of digital innovation, success is often accompanied by a multitude of challenges - like the pitfalls lurking at every turn, threatening to derail the most promising projects. But fret not, this webinar is your key to effective product development! Join us for an enlightening session to empower you to lead your team to greater heights.

Management

CIO Business Intelligence

MAY 30, 2022

Nous sommes rarement prévenus qu’une catastrophe va frapper. Même informés à l’avance, plusieurs choses peuvent mal tourner : chaque incident est unique et se déroule de manière inattendue. C’est là qu’un plan de continuité des activités entre en jeu. Pour donner à votre organisation les meilleures chances de réussite en cas de catastrophe, vous devez mettre à jour un projet testé par tout le personnel responsable de son exécution.

Testing 83

Testing IT Management 83

Analytics Vidhya

MAY 30, 2022

This article was published as a part of the Data Science Blogathon. Source: Freepik Introduction SQL(Structured Query Language) commands are instructions. It is used to interact with the database, and it is also used to perform specific tasks, functions, and data queries. SQL can perform Several tasks like creating a table, adding data to tables, dropping […].

Interactive 313

Interactive Data Science Publishing Analytics 313

CIO Business Intelligence

MAY 30, 2022

Though his career spans almost three decades, Freddie Quek of Times Higher Education has only recently come to accept his place as an industry leader and role model. As an Asian IT manager in the UK, he believes he has had to put in more effort throughout his career to win recognition amongst his peers – and to gain advancement. “As a minority, you have to work a lot harder just to be equal,” he says, paraphrasing a dispiriting but common axiom – cited by former US president Barack Obama, among

Modeling 76

Modeling Management IT 76

Analytics Vidhya

MAY 30, 2022

This article was published as a part of the Data Science Blogathon. Introduction on Drowsiness Detection System Nowadays drowsiness of drivers is one of the main reasons behind road accidents. It is natural for the drivers who take long drives to doze off behind the steering wheel. In this article, we will build a drowsiness […]. The post Drowsiness Detection System appeared first on Analytics Vidhya.

Data Science 276

Data Science Publishing Analytics IT 276

Speaker: Aarushi Kansal, AI Leader & Author and Tony Karrer, Founder & CTO at Aggregage

Software leaders who are building applications based on Large Language Models (LLMs) often find it a challenge to achieve reliability. It’s no surprise given the non-deterministic nature of LLMs. To effectively create reliable LLM-based (often with RAG) applications, extensive testing and evaluation processes are crucial. This often ends up involving meticulous adjustments to prompts.

Testing

Dataiku

MAY 30, 2022

According to the World Economic Forum , women make up only an estimated 26% of workers in data and AI roles globally. So, how can we change that narrative in practice? The answer lies in increasing representation and diversity in the ideation and development of analytics and AI projects. Ultimately, this should lead to better products that integrate a broad spectrum of skill sets and backgrounds and provide a common ground for people that hail from both the business and technical sides of an org

Analytics 59

Analytics 59

Nutanix

MAY 30, 2022

Nutanix products continue to meet DISA rigorous Cybersecurity and CVE Testing

Testing 47

Testing 47

Smart Data Collective

MAY 30, 2022

Analytics technology has shaped many aspects of modern business. According to a report we cited last year, 67% of businesses with revenues exceeding $10,000 a year use data analytics. One of the most important reasons companies are investing in analytics technology is to improve their understanding of their customers. Companies are expected to spend over $24 billion on customers analytics technology by 2025.

Customer Analytics 101

Customer Analytics Management Analytics Data Processing 101

Domino Data Lab

MAY 30, 2022

What is Data Governance? Data governance refers to the process of managing enterprise data with the aim of making data more accessible, reliable, usable, secure, and compliant across an organization. It is a critical feature of organizational data management and promotes better data quality and data democratization.

Data Governance 52

Data Governance Data Quality Enterprise Management 52

Speaker: Jon Harmer, Product Manager for Google Cloud

Move from feature factory to customer outcomes and drive impact in your business! This session will provide you with a comprehensive set of tools to help you develop impactful products by shifting from output-based thinking to outcome-based thinking. You will deepen your understanding of your customers and their needs as well as identifying and de-risking the different kinds of hypotheses built into your roadmap.

Risk