Sat.Jul 09, 2022 - Fri.Jul 15, 2022

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The Complete Guide to Web 3.0 and How it’s Shaping the Future?

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction The third generation of the world wide web is called Web 3.0 and it first appeared in Tim Berners-Lee’s paper, “The Semantic Web.” Web 3.0 has been described as an evolution of the current web, which will be characterized by seamless integration […].

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Machine Learning Algorithms Explained in Less Than 1 Minute Each

KDnuggets

Learn about some of the most well known machine learning algorithms in less than a minute each.

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8 servant leadership do’s and don’ts

CIO Business Intelligence

Servant leadership has emerged as a popular management method that replaces command-and control-style leadership with empathy and empowerment. The management approach prioritizes the growth, well-being, and empowerment of employees. It aims to foster an inclusive environment that enables everyone in the organization to thrive as their authentic self.

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5 Ways CMOs Must Exploit the Benefits of Data Analytics

Smart Data Collective

We have talked about the benefits of using big data in the marketing profession in the past. The top marketing strategists of every organization need to understand its benefits and use it effectively. CMOs Are Investing in the Benefits of Big Data. The market for marketing analytics technology is growing nearly 14% a year. The demand for data analytics technology in the marketing will continue to grow as more executives recognize its benefits.

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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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20 Most Asked Interview Questions of Python

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Python is a general-purpose and interpreted programming language. It can be used to create a Web application and is widely used in Artificial Intelligence. Due to the implementation of machine learning and deep learning models, it has become the language of demand […].

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Why SQL Will Remain the Data Scientist’s Best Friend

KDnuggets

Machine learning, big data analytics or AI may steal the headlines, but if you want to hone a smart, strategic skill that can elevate your career, look no further than SQL.

More Trending

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HR Analytics is the Basis of New Workforce Management Software

Smart Data Collective

Data analytics technology has helped many employers boost productivity and increase employee morale. Markets and Markets projects that companies around the world will spend over $3.6 billion on HR analytics by 2024. The sudden interest in data analytics in the human resource management profession are obvious. McKinsey has an entire study published on the merits of using analytics to improve the dynamics of the workplace.

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Introduction to K-Means Clustering using MLIB

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction K-means clustering is one of the algorithms which unsupervised machine learning supports hence before moving forward with K-means let’s have background knowledge of the unsupervised learning method. In this method, we don’t have predefined labels unlike the supervised method hence we don’t […].

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Free Artificial Intelligence And Deep Learning Crash Course

KDnuggets

Deep learning forms the backbone of modern day artificial intelligence. Learn more about the important aspects of this connection with this freely available course.

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Tips for CIOs in the digital age

CIO Business Intelligence

Altering your approach as a CIO is critical in leading digital transformation within healthcare organizations. The goal of healthcare digital transformation is to achieve clinical, financial, and operational strategic goals, but this journey is complex and requires the mobilization of technology, resources, processes, and talent. Every aspect of what healthcare organizations do is affected by digital transformation – from enhancing the patient experience to making data-driven decisions and autom

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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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DataRobot Celebrates a Decade of Innovation with Industry Recognition

DataRobot Blog

Last month at DataRobot AIX 22 , we celebrated an exciting milestone at DataRobot, our ten-year anniversary. This marks a full decade since some of the brightest minds in data science formed DataRobot with a singular vision: to unlock the potential of AI and machine learning for all—for every business, every organization, every industry—everywhere in the world.

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Handwritten Digit Recognition using TensorFlow

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction In this article, we will see how to build an application that can recognize digits that are written by hand. The application will recognize our handwriting. Nowadays, technology has increased tremendously, and the computer can recognize anything. Here there are two categories […].

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Why Use k-fold Cross Validation?

KDnuggets

Generalizing things is easy for us humans, however, it can be challenging for Machine Learning models. This is where Cross-Validation comes into the picture.

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The CIO’s Triple Play: Cyber Resilience, Performance, and AIOps/DevOps

CIO Business Intelligence

CIOs of large enterprises have pain points that are complex, underscoring the need for suppliers to listen intently and understand their predicaments. The challenges of managing data, the lifeblood of any enterprise, are continuously evolving and require attention because ignoring them only makes the “pain points” worse. CIOs and their teams look to the tech industry to solve their problems, develop new, cost-effective technology solutions, and make implementation of new solutions smooth and eas

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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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The Case for Reproducible Data Science | Domino Data Lab

Domino Data Lab

Reproducibility is a cornerstone of the scientific method and ensures that tests and experiments can be reproduced by different teams using the same method. In the context of data science , reproducibility means that everything needed to recreate the model and its results such as data, tools, libraries, frameworks, programming languages and operating systems, have been captured, so with little effort the identical results are produced regardless of how much time has passed since the original pro

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An Accurate Approach to Data Imputation

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction In order to build machine learning models that are highly generalizable to a wide range of test conditions, training models with high-quality data is essential. Unfortunately, a large part of the data collected is not readily ideal for training machine learning models, this increases […].

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Machine Learning Is Not Like Your Brain Part 5: Biological Neurons Can’t Do Summation of Inputs

KDnuggets

See why biological neurons can’t do the most fundamental process of the artificial perceptron, the summation of inputs.

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Vendor management: The key to productive partnerships

CIO Business Intelligence

What is vendor management? Vendor management helps organizations take third-party vendor relationships from a passive business transaction to a proactive collaborative partnership. While working with IT vendors can help ease the burden on IT, it also raises concerns, especially around data, risk, and security. A sound IT vendor management strategy can help organizations determine which vendor best fits the company’s needs while keeping in mind relevant features, price, availability, risk and sec

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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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4 Ways to Better Manage and Govern Financial Services and Insurance Models

Domino Data Lab

The financial services industries are starting to realize the full import of the fact that, like household chores like dishwashing and garden work, ML models are never really done. Rather, AI and ML models need to be monitored for validity, and often, they also need to be re-explained and re-documented for regulators. So the spotlight is on model risk management (MRM) and governance (MRG), two related critical processes for financial services and insurance companies, and the importance of these

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Analyzing Hacker’s Dataset using KMeans MLIB

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction This article will be a cakewalk through a consulting project where we will be working with a large technology firm to predict whether certain types of hackers were involved in hacking their servers or not! To solve this real-world problem, we will […]. The post Analyzing Hacker’s Dataset using KMeans MLIB appeared first on Analytics Vidhya.

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Parallel Processing Large File in Python

KDnuggets

Learn various techniques to reduce data processing time by using multiprocessing, joblib, and tqdm concurrent.

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Technology Companies Need to Make Hard Choices to Teach More ‘Soft Skills”

CIO Business Intelligence

As anybody in IT can attest, the skills gap companies are facing is real, and it’s getting more pronounced. The Great Resignation trend is hitting IT hard. Nearly 90% of all employers either already have a shortage or expect to face one within a few years. And a third say the problem has already grown worse over the past year alone. Employers are approaching the skills issue proactively.

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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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How Data Ethics Supports Governance & Monetisation

Alation

Light is both a wave and a particle. Data ethics is both an imperative and an opportunity. New regulations covering data privacy and other ethical concerns require that enterprises govern internal data processes according to these new laws. And, while change at large organisations is tough, data leaders would be wise to reframe such transformations as business opportunities rather than burdens.

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Using Artificial Intelligence in Diesel Generator

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction The use of artificial intelligence (AI) in diesel generator sets is becoming more common as the technology continues to develop and become more affordable. A DG is a type of internal combustion engine that uses diesel fuel to generate electrical power. Major […]. The post Using Artificial Intelligence in Diesel Generator appeared first on Analytics Vidhya.

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The 5 Best Places To Host Your Data Science Portfolio

KDnuggets

How can you showcase your data scientist skills and abilities? The answer to this question is online platforms where you can publish your portfolio and seize opportunities.

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SD-WAN Helping Financial Services Achieve Greater Digital Agility, Cybersecurity

CIO Business Intelligence

The shift to a digital business environment in financial services began well before the pandemic pushed it and other sectors to more rapidly embrace digital transformation. As customers have become increasingly digitally savvy, they demand that financial services firms be more responsive to their needs. Those organizations that don’t make that change risk losing their customers to those that adopted an agile, customer-centric approach to business.

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The Big Payoff of Application Analytics

Outdated or absent analytics won’t cut it in today’s data-driven applications – not for your end users, your development team, or your business. That’s what drove the five companies in this e-book to change their approach to analytics. Download this e-book to learn about the unique problems each company faced and how they achieved huge returns beyond expectation by embedding analytics into applications.

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Teradata is Still the Lowest Cost for Enterprise Analytics

Teradata

Teradata provides the lowest cost per query for enterprise-scale analytics. Have your doubts? Then please read on.

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IoT-based Robotic Solutions for Hospital Assistance

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction In the present situation, the coronavirus (COVID-19) pandemic is putting even the best hospitals worldwide under tremendous pressure. With rapid development in the field of robotics and automation, there have been intelligent systems that can play a crucial role in reducing the […].

IoT 382
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MLOps: The Key To Pushing AI Into The Mainstream

KDnuggets

In this blog, we will aim at discussing the reasons that make MLOps an essential aspect of pushing AI mainstream. Besides, we will highlight the capabilities of MLOps as a catalyst for AI implementation.

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How CIOs Are Addressing The “Unsustainable” Security Challenge

CIO Business Intelligence

The proliferation of cyber threats has become so great that earlier this year the Australian government issued the recommendation that organisations “ urgently ” adopt an enhanced cyber security posture. “Many actors use common techniques such as exploiting internet-facing applications and spear phishing to compromise victim networks,” the advisory note states.

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The Data Metaverse: Unpacking the Roles, Use Cases, and Tech Trends in Data and AI

Speaker: Aindra Misra, Sr. Staff Product Manager of Data & AI at BILL (Previously PM Lead at Twitter/X)

Embark on a transformation journey into the heart of the data ecosystem! This webinar is your gateway to a deeper comprehension of the foundations that drive the data industry and will equip you with the knowledge needed to navigate the evolving landscape. Delve into the diverse use cases where data analytics plays a pivotal role. We’ll explore how these applications are transforming with the introduction of Gen AI, and discuss the anticipated use cases for 2024 and beyond.