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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5 Best Practices to Boost Your Sales Strategy With Data

datapine

Sales have always been considered an intuition-driven profession where sales reps intuitively approach and engage best-fit prospects. While this approach might have worked in the past, it can’t guarantee sales success in today’s hyper-competitive world. No wonder, 61% of salespeople consider their job role more challenging than it was five years ago.

Sales 170
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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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The Definitive Entity Resolution Buyer’s Guide

Are you thinking of adding enhanced data matching and relationship detection to your product or service? Do you need to know more about what to look for when assessing your options? Our Entity Resolution Buyer’s Guide gives you step-by-step details about everything you should consider when evaluating entity resolution technologies. We discuss use cases, technology, and deployment options, top ten evaluation criteria and more.

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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 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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Blockchain breakthroughs: A tech revolution told in whitepapers

CIO Business Intelligence

Blockchain is one of the great blindsides in the history of technology. Major trends around cloud technology, virtualization, and mobile you could see coming, but a novel distributed computing model based on public key cryptography? That came almost completely out of the blue. . When the Nakamoto whitepaper dropped in 2008 it unceremoniously set off a ferment of innovation that continues growing to this day.

Modeling 124
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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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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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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.

Analytics 127
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How Intent Data Helps Marketers Convert A-List Accounts

One of the biggest challenges for any B2B marketer is understanding your prospects’ next move — who is most likely to buy and when. Without these insights, marketing campaigns can feel more like guesswork, with high investment and little return. We’re here to tell you there’s a better way. By tracking buyers’ digital footprints and online activity, such as website visits, product reviews, and spikes in content consumption, you can engage prospects with a message that really resonates.

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Elevate Your Protection Strategy at CSO’s Future of Cybersecurity Summit

CIO Business Intelligence

Here’s the secret to creating a board presentation on cybersecurity, according to Victor Shadare, head of cybersecurity at the international publishing giant Condé Nast : “The board doesn’t have time to look at detail as such. They want something that’s going to punch them in the face,” he said. Metrics that create a narrative and show how the business compares to competitors, the wider industry, and globally against all businesses give a clear picture that allows board members to set strategy.

Strategy 117
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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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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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Scaling One Peak After Another

Cloudera

Cloudera has appointed Remus Lim as vice president of Asia Pacific and Japan, to drive adoption of the hybrid data platform across the region and support customers in their journey to become more data-driven. We’ve asked him to share his vision for Cloudera in APAC and reflect on his past few months since taking up the mantle. What drew you to the tech space and attracted you to the roles you’ve held?

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The Essential Guide to Analytic Applications

Embedding dashboards, reports and analytics in your application presents unique opportunities and poses unique challenges. We interviewed 16 experts across business intelligence, UI/UX, security and more to find out what it takes to build an application with analytics at its core. No matter where you are in your analytics journey, you will learn about emerging trends and gather best practices from product experts.

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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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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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Beyond Data Fabrics: Cloudera Modern Data Architectures

Cloudera

The need for data fabric. As Cloudera CMO David Moxey outlined in his blog , we live in a hybrid data world. Data is growing and continues to accelerate its growth. It is changing in makeup and appearing in ever more places. Driving insight and value from it all is as much of an opportunity as it is a challenge. As a result, it’s getting ??progressively more complex for businesses to access, use, and create value from it.

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Why Modern Data Challenges Require a New Approach to Governance

A healthy data-driven culture minimizes knowledge debt while maximizing analytics productivity. Agile Data Governance is the process of creating and improving data assets by iteratively capturing knowledge as data producers and consumers work together so that everyone can benefit. It adapts the deeply proven best practices of Agile and Open software development to data and analytics.

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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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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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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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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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Value-Driven AI: Applying Lessons Learned from Predictive AI to Generative

Speaker: Data Robot

Enterprise AI maturity has evolved dramatically over the past 5 years. Most enterprises have now experienced their first successes with predictive AI, but the pace and scale of impact have too often been underwhelming. Now generative AI has emerged and captivated the minds and imaginations of leaders and innovators everywhere. Join our DataRobot experts to reflect on lessons learned from helping hundreds of enterprises grow their AI maturity over the past 5 years.

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DTN’s CTO on combining IT systems after a merger

CIO Business Intelligence

DTN is more than just a weather forecaster: It also offers decision-support services to companies in agriculture, energy, commodities, and the finance industry. Its weather-related services can be as simple as helping utilities predict short-term demand for energy, or as complex as advising maritime transporters on routing ocean-going cargo ships around developing storms.

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Recommending Similar Images using Image Embedding

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction In this article, we will build a simple recommendation system. For a given product, we will try to suggest or recommend similar-looking products. E-commerce websites often use such recommender systems. It works on a simple logic – if a consumer shows interest […].

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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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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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Solving the Biggest Tech Challenges in RevOps

In this eBook, we’ll run through real-world examples that show how RevOps teams can benefit from modern solutions for the access, management, and activation of their GTM data. Whether you need to improve lead response times, boost adoption of core tools, improve lead qualification, or target and automate your GTM motions, you’ll find examples of how revenue teams are solving some of the toughest problems in modern business.

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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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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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How Does Logistic Regression Work?

KDnuggets

Logistic regression is a machine learning classification algorithm that is used to predict the probability of certain classes based on some dependent variables.

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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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7+ Graphics Libraries to Enhance Your Embedded Analytics

When your customers come to your app, what do they see: clunky, outdated dashboards or a sleek, modern interface? If your embedded analytics are looking stale, leverage these free graphics libraries to take your embedded analytics offerings above and beyond. This e-book details a number of graphics libraries plus a few bonus tools to modernize your embedded dashboards.