Tue.Jul 20, 2021

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Data Culture In Three Components

Anmut

Does your organisation have a data culture? . The amount of data has exploded in the last decade. Ever more organisations have started their journey to becoming data-driven and utilising data to make better decisions more often. As a result, organisations recognise that fostering a data culture is vital and are starting to ask what “good” looks like.

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A Comprehensive Guide to Decision trees

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon. In this series, we will start by discussing how to. The post A Comprehensive Guide to Decision trees appeared first on Analytics Vidhya.

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Top 10 Big Data CRM Tools To Increase Business Sales

Smart Data Collective

Big data technology is incredibly important in modern business. One of the most important applications of big data is with building relationships with customers. Every enterprise wants to improve its business relationship and productivity. Therefore, CRM software comes into the picture to help enterprises achieve their business targets. These software tools rely on sophisticated big data algorithms and allow companies to boost their sales, business productivity and customer retention.

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In-Depth Explanation Of Recurrent Neural Network

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Table Of Content Introduction Architecture Of Recurrent Neural Network Application Of. The post In-Depth Explanation Of Recurrent Neural Network appeared first on Analytics Vidhya.

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From Developer Experience to Product Experience: How a Shared Focus Fuels Product Success

Speaker: Anne Steiner and David Laribee

As a concept, Developer Experience (DX) has gained significant attention in the tech industry. It emphasizes engineers’ efficiency and satisfaction during the product development process. As product managers, we need to understand how a good DX can contribute not only to the well-being of our development teams but also to the broader objectives of product success and customer satisfaction.

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Will AI Developments Help Open Banking Take Off?

Smart Data Collective

Artificial intelligence has become a gamechanger in the banking industry in recent years. The global market for AI in Fintech was valued at nearly $8 billion last year. It is projected to be worth nearly $27 billion by 2026. There are a number of reasons that AI is becoming an integral part of the banking industry. One reason is that it is driving process automation.

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Feature Engineering Techniques to follow in Machine Learning

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Photo by Firmbee.com on Unsplash What is a feature, and why. The post Feature Engineering Techniques to follow in Machine Learning appeared first on Analytics Vidhya.

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Bring Machine Learning Models to life using Flask and Flasgger

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Machine Learning Models that reside in your editor environment are as. The post Bring Machine Learning Models to life using Flask and Flasgger appeared first on Analytics Vidhya.

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Metadata Improves Security, Quality, and Transparency

TDAN

How does Spotify win against a competitor like Apple? They use data better. Using machine learning and AI, Spotify creates value for their users by providing a more personalized experience. Let’s take a quick look at the layers of aggregate information that are used to enhance their platform: – Spotify uses natural language processing (NLP) […].

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Feature Extraction and Embeddings in NLP: A Beginners guide to understand Natural Language Processing

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction In Natural Language Processing, Feature Extraction is one of the. The post Feature Extraction and Embeddings in NLP: A Beginners guide to understand Natural Language Processing appeared first on Analytics Vidhya.

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Machine Learning is Replacing Music Mastering

TDAN

As AI continues to penetrate many areas of our lives, the music industry is no exception. Although there are many music production-related applications that involve AI, too many of them look like fun science projects without any applicability to the craft. However, in the past few years, the music industry has experienced a somewhat significant […].

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Peak Performance: Continuous Testing & Evaluation of LLM-Based Applications

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.

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Visualizing Netflix Data Using Python!

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon. Image Source Introduction We can say that data visualization is basically. The post Visualizing Netflix Data Using Python! appeared first on Analytics Vidhya.

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All in the Data: Connecting Data to Revenue

TDAN

I believe that my strongest articles and columns come from opportunities to work with great companies and organization. Of course, I cannot mention their names. But there is a strong possibility that you may have some of the same opportunities in front of you. A long-time client recently told me that, for their data and […].

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How to Analyse Air Pollution using Python?

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Overview This article aims to help those who are facing the. The post How to Analyse Air Pollution using Python? appeared first on Analytics Vidhya.

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What Does Cloud Forensics Mean for Privacy?

TDAN

The development of the cloud has opened thousands of doors to increasing the speed and efficiency of data management and connectivity. Though some of us struggle to understand the concept and many of us can’t even begin to fathom how it all works, most of us grasp the critical importance of the cloud in how […].

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The Path to Product Excellence: Avoiding Common Pitfalls and Enhancing Communication

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.

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Harry Potter’s Invisible Cloak Using Computer Vision in Python

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction “When you are not a magician but still can do. The post Harry Potter’s Invisible Cloak Using Computer Vision in Python appeared first on Analytics Vidhya.

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Building Data Science & AI Awareness in Nonprofit Organizations

Dataiku

Tom Brown, also known as @tgb417 , is one of the most active users in the Dataiku Community (with fellow ambassador users, the Dataiku Neurons ). As a personal passion and professional mission, Tom is helping nonprofit organizations better understand their stakeholders through data — and leveraging Dataiku along the way.

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Demystifying the Difference Between Multi-Class and Multi-Label Classification Problem Statements in Deep Learning

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction While solving the classification problem statements using Deep Learning, we. The post Demystifying the Difference Between Multi-Class and Multi-Label Classification Problem Statements in Deep Learning appeared first on Analytics Vidhya.

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The Key Elements of A Data Driven Culture

Anmut

Does your organisation have a data driven culture? The amount of data has exploded in the last decade. Ever more organisations have started their journey to becoming data-driven and utilising data to make better decisions more often. As a result, organisations recognise that fostering a data driven culture is vital and are starting to ask what “good” looks like.

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How to Build an Experimentation Culture for Data-Driven Product Development

Speaker: Margaret-Ann Seger, Head of Product, Statsig

Experimentation is often seen as an aspirational practice, especially at smaller, fast-moving companies who are strapped for time and resources. So, how can you get your team making decisions in a more data-driven way while continuing to remain lean and maintaining ship velocity? In this webinar, Margaret-Ann Seger, Head of Product at Statsig, will teach you how to build an experimentation culture from the ground-up, graduating from just getting started with data-driven development to operating

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Game up with OpenAI Gym Reinforcement Learning

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Reinforcement learning is currently one of the foremost promising methods in. The post Game up with OpenAI Gym Reinforcement Learning appeared first on Analytics Vidhya.

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Flying Blind in Retail

Teradata

Many Retailers & CPGs are missing huge opportunities to improve their margins & further enhance their customer experience due to broad brush data that lack insight. Read more.

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An Introduction To Simple Linear Regression

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction Time series forecasting is the branch of data science which. The post An Introduction To Simple Linear Regression appeared first on Analytics Vidhya.

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Data Professional Introspective: What Good Looks Like – Part 3

TDAN

This column is next in the series of how organizations achieve and sustain significant improvements in fundamental data management disciplines in their journey to Great Data. Content and conclusions are based on my work with many organizations to evaluate, accelerate and enhance their EDM Programs. We’re going to explore “What Good Looks Like” for data […].

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Driving Business Impact for PMs

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.

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A Simple Image Classification Project To Kickstart your Deep Learning Journey!

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Image Source: Proline Coders Introduction Before starting, we first need to understand. The post A Simple Image Classification Project To Kickstart your Deep Learning Journey! appeared first on Analytics Vidhya.

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Our Top 20 Most-Read Data & Analytics Research Last Week (to July 18)

Andrew White

Click here for an interactive PDF to connect to the notes directly. Peter Krensky’s new note, Leading Upskilling Initiatives in Data Science and Machine Learning , just re-entered the charts last week at “number 1” spot. It was our most-read piece of research last week across data and analytics excluding branded research such as Magic Quadrants.

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Demystifying Stages in Snowflake

Analytics Vidhya

ArticleVideo BookThis article was published as a part of the Data Science Blogathon Introduction If you are just starting your journey with Snowflake, then I. The post Demystifying Stages in Snowflake appeared first on Analytics Vidhya.

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Save the Date for Sirius Tech Blitz (Formerly Madness)!

CDW Research Hub

Durham, NC—20 July, 2021— College football, the first day of fall, all-star partners and innovative technology can mean only one thing: Sirius Madness is back, and better than ever this year as Sirius Tech Blitz ! Join Sirius Computer Solutions, Inc. (Sirius) and over 25 of its premier technology partners—including Dell Technologies, IBM, Microsoft and NetApp—when they kick off the 2021 season with the Carolinas’ premier technology conference on Thursday, September 23 at the Durham Convention Ce

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Reimagined: Building Products with Generative AI

“Reimagined: Building Products with Generative AI” is an extensive guide for integrating generative AI into product strategy and careers featuring over 150 real-world examples, 30 case studies, and 20+ frameworks, and endorsed by over 20 leading AI and product executives, inventors, entrepreneurs, and researchers.

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Metrics to Evaluate your Classification Model to take the right decisions

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Evaluation Metrics for Classification Problem Image source ?[link] Abstract The most. The post Metrics to Evaluate your Classification Model to take the right decisions appeared first on Analytics Vidhya.

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Communal Computing’s Many Problems

O'Reilly on Data

In the first article of this series, we discussed communal computing devices and the problems they create–or, more precisely, the problems that arise because we don’t really understand what “communal” means. Communal devices are intended to be used by groups of people in homes and offices. Examples include popular home assistants and smart displays like the Amazon Echo, Google Home, Apple HomePod, and many others.

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The Inside Scoop on Excel with Bill Jelen (Mr. Excel)

Depict Data Studio

I recently had the honor of speaking with Bill Jelen, a.k.a. Mr. Excel. He was a guest speaker inside our data analysis course, Simple Spreadsheets. He’s a big, big deal in the Excel community! I’ve internet-stalked him for years on his website and his popular YouTube channel. Frankly, I’m still shocked he agreed to come speak with us. Watch Our Conversation Here.

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AI Use Cases for Cyber and Malware Analysts

DataRobot

Introduction. Cyber and malware analysts have a critical role in detecting and mitigating cyberattacks. These professions are highly skilled in programming, complex tools, and investigations. They are termed unicorns because they are so rare. Experienced ones are hard to find and retain, and typically swarmed with ad-hoc requests. A reliable partner for cybersecurity analysts is AI and machine learning.

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Entity Resolution Checklist: What to Consider When Evaluating Options

Are you trying to decide which entity resolution capabilities you need? It can be confusing to determine which features are most important for your project. And sometimes key features are overlooked. Get the Entity Resolution Evaluation Checklist to make sure you’ve thought of everything to make your project a success! The list was created by Senzing’s team of leading entity resolution experts, based on their real-world experience.