Sat.Jul 02, 2022 - Fri.Jul 08, 2022

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Outliers and Overfitting when Machine Learning Models can’t Reason

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Datasets are to machine learning models what experiences are to human beings. Have you ever witnessed a strange occurrence? What exactly do you consider to be strange? What constitutes an odd event? Is it based on comparisons with uncommon circumstances or things that […].

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12 Essential VSCode Extensions for Data Science

KDnuggets

Learn about the data science VSCode extensions for super productivity and better user experience.

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Zoho Unifies Data and Analytics

David Menninger's Analyst Perspectives

Organizations are continuously increasing the use of analytics and business intelligence to turn data into meaningful and actionable insights. Our Analytics and Data Benchmark Research shows some of the benefits of using analytics: Improved efficiency in business processes, improved communication and gaining a competitive edge in the market top the list.

Analytics 247
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5 Ways Data Analytics Helps Investors Maximize Stock Market Returns

Smart Data Collective

We have previously talked about the reasons that data analytics technology is changing the financial industry. One of the most significant changes has been in the field of stock market investing. Analytics Insight has touched on some of the benefits of using data analytics to make better stock market trades. They point out that value investors are using machine learning technology to anticipate future stock prices.

Marketing 141
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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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Learn Everything about MapReduce Architecture & its Components

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction MapReduce is part of the Apache Hadoop ecosystem, a framework that develops large-scale data processing. Other components of Apache Hadoop include Hadoop Distributed File System (HDFS), Yarn, and Apache Pig. This component develops large-scale data processing using scattered and compatible algorithms in the […].

IT 397
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Boosting Machine Learning Algorithms: An Overview

KDnuggets

The combination of several machine learning algorithms is referred to as ensemble learning. There are several ensemble learning techniques. In this article, we will focus on boosting.

More Trending

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Top 7 Data-Driven E-Learning Trends Changing the Face Of Education

Smart Data Collective

Big data has led to some major changes in the field of education. We have covered some of these trends in the past, but new changes are still emerging each year. You should pay close attention to developments in big data in academia. Keep reading to learn more. How is Big Data Affecting the State of Education? The e-Learning industry is currently undergoing a revolution due to recent technological breakthroughs.

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Data Science Blogathon 22nd Edition

Analytics Vidhya

The wait is now over! Here is your chance to share your knowledge with the world! After successful and insightful 21 Blogathons, Analytics Vidhya is back with yet another Data Science Blogathon with its 22nd edition that goes live from today! Introduction The Blogathon by Analytics Vidhya is organized with a simple mission to share […]. The post Data Science Blogathon 22nd Edition appeared first on Analytics Vidhya.

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Risk, Roles, and Realities of AI Governance

Dataiku

In a recent Dataiku Product Days session, Krishna Vadakattu, Senior Product Manager at Dataiku, interviewed Sulabh Soral, Chief AI Officer Deloitte Consulting, U.K. This blog summarizes and shares Soral’s perspective on the risk, roles, and realities of AI Governance from the session.

Risk 124
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Designing Templates to Improve Workflow and Efficiency

Depict Data Studio

I work as a program analyst for a government agency, and it is my job to find ways to improve the efficiency of day-to-day program operations. An important part of my job is identifying and creating the appropriate communication products for each program, such as standard operating procedures, desk guides, fact sheets, and dashboards. When I first joined the team, we had no style guide to dictate what fonts, colors, or design to use for our signature products.

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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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Ten Key Lessons of Implementing Recommendation Systems in Business

KDnuggets

We've been long working on improving the user experience in UGC products with machine learning. Following this article's advice, you will avoid a lot of mistakes when creating a recommendation system, and it will help to build a really good product.

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The Power of Artificial Intelligence in Drones

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Nowadays, people around the world think about drones?—?and not just how fun they are to fly, but how much drones have improved our modern life. Source: [link] From delivering packages on demand to surveying disaster zones, drones are crucial to many businesses and […].

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6 ways to streamline IT vendor onboarding

CIO Business Intelligence

CIOs are no strangers to lengthy, convoluted approvals processes. Every time they want to bring on a new IT vendor, they must go through multiple levels of approval: procurement, legal, compliance, and more. It might take anywhere from three to six months to onboard a new IT vendor, and during that time, the clock is ticking. Whatever problem the vendor is being brought on to solve is only getting worse.

IT 119
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Developments in AI and IMF Positions Can Make Bitcoin Legally Tender

Smart Data Collective

Artificial intelligence has been a disruptive force in the financial sector for the past decade. We have discussed some of the benefits of AI technology in mainstream financial sectors like banking. However, there are less conventional corners of the financial sector that are also changing in light of developments in AI. The cryptocurrency sector is being shaped by changes in AI technology.

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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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Data Preparation in R Cheatsheet

KDnuggets

Leverage the powerful data wrangling tools in R’s dplyr to clean and prepare your data.

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Building a Deep Learning Image Classifier with Keras using R

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction An important application of deep learning and artificial intelligence is image classification. Image classification is the process of labeling images based on specific characteristics or features that they contain. The algorithm recognizes these qualities and utilizes them to distinguish between images and assign […].

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Location AI: The Next Generation of Geospatial Analysis

DataRobot Blog

Real world problems are multidimensional and multifaceted. Location data is a key dimension whose volume and availability has grown exponentially in the last decade. At the confluence of cloud computing, geospatial data analytics, and machine learning we are able to unlock new patterns and meaning within geospatial data structures that help improve business decision-making, performance, and operational efficiency.

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6 ways UK CIOs can help to begin closing the IT skills gap

CIO Business Intelligence

Skills shortages continue to plague the IT sector, causing UK technology job vacancies to shoot up by almost 200% since 2020, according to BCS. Not having the right skills or team is the third biggest worry among senior IT decision-makers in the UK, with two-thirds of technology executives (66%) highlighting that their organisation’s digital transformation projects are being stalled due to struggles in recruiting IT professionals with the skills they need.

IT 111
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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.

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KDnuggets News, July 6: 12 Essential Data Science VSCode Extensions; Statistics and Probability for Data Science

KDnuggets

12 Essential VSCode Extensions for Data Science; Statistics and Probability for Data Science; Free Python Crash Course; Linear Machine Learning Algorithms: An Overview; 7 Steps to Mastering Python for Data Science.

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An Introductory Note on Principal Component Analysis

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction PCA, or Principal Component Analysis, is a term that is well-known to everyone. Notably employed for Curse of Dimensionality issues. In addition to this fundamental issue, there are other significant issues that we tackle in the PCA article. So, let’s start with […].

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Domain-Driven Development, Part 1

TDAN

Bounded Contexts / Ubiquitous Language My new book, Data Model Storytelling,[i] contains a section describing some of the most significant challenges data modelers and other Data professionals face. One of these challenges is the increasing popularity of an approach to application development called Domain-Driven Development (DDD). Like most of its predecessors, including Agile development and […].

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Digital twin helps NTT Indycar deliver better race experience to fans

CIO Business Intelligence

When Marcus Ericsson, driving for Chip Ganassi Racing, won the Indianapolis 500 in May, it was in a car equipped with more than 140 sensors streaming data and predictive analytic insights, not only to the racing team but to fans at the Brickyard and around the world. NTT, which partners with Penske Entertainment for the NTT Indycar Series, including the Indy 500 race, collected an estimated 8 billion data points through the sensors on Ericsson’s car and that of his 32 competitors.

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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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Hidden Technical Debts Every AI Practitioner Should be Aware of

KDnuggets

Coming to think of technical debt in ML systems leads to the additional overhead of ML-related issues on top of typical software engineering issues.

Software 108
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Machine Learning Pycaret : Improve Math Score in Institutes

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Academia is the integral coaching zone for humanity’s future talent and the development of new approaches toward our survival as human species in terms of task execution and thinking. The academic score is an indicator used for performance assessment and management by […].

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All About Decentralized Cybersecurity

TDAN

As an IT professional, you’re probably used to the constant treadmill of new ideas, technologies, and concepts that you need to know to stay on top of your game. In that vein, allow us to flag for you an important new way to think about keeping IT systems secure: Decentralized Cybersecurity. Read on for a […].

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The 7 Steps for an Analytics-led Digital Transformation

Teradata

In the current age of AI, all digital transformations must be analytics-led. Learn the 7 steps needed to realize the promise of an analytics-led digital transformation.

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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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16 Essential DVC Commands for Data Science

KDnuggets

Learn essential DVC commands to version large datasets and track and manage the machine learning experiments.

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Managing SQL Database on Google Cloud

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction This article shows how you can create and manage a Cloud SQL Database on Google Cloud Platform and further connect that database to any web application. This tutorial shows how you can join that database with a Django Application. By the end […]. The post Managing SQL Database on Google Cloud appeared first on Analytics Vidhya.

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TOGAF certification guide: Options, training, cost, exam info

CIO Business Intelligence

TOGAF is a longstanding, popular, open-source enterprise architecture framework that is widely used by large businesses, government agencies, non-government public organizations, and defense agencies. Offered by The Open Group, TOGAF advises enterprises on how best to implement, deploy, manage, and maintain enterprise architecture. The Open Group offers several options for those who want to be certified in the TOGAF 9.

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The hidden history of Db2

IBM Big Data Hub

In today’s world of complex data architectures and emerging technologies, databases can sometimes be undervalued and unrecognized. The fact is that databases are truly the engine driving better outcomes for businesses — they’re running your cloud-native apps, generating returns on your investments in AI, and the backbone supporting your data fabric strategy.

Data Lake 102
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Strategic CX: A Deep Dive into Voice of the Customer Insights for Clarity

Speaker: Nicholas Zeisler, CX Strategist & Fractional CXO

The first step in a successful Customer Experience endeavor (or for that matter, any business proposition) is to find out what’s wrong. If you can’t identify it, you can’t fix it! 💡 That’s where the Voice of the Customer (VoC) comes in. Today, far too many brands do VoC simply because that’s what they think they’re supposed to do; that’s what all their competitors do.