Fri.Jul 15, 2022

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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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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.

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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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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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Get Better Network Graphs & Save Analysts Time

Many organizations today are unlocking the power of their data by using graph databases to feed downstream analytics, enahance visualizations, and more. Yet, when different graph nodes represent the same entity, graphs get messy. Watch this essential video with Senzing CEO Jeff Jonas on how adding entity resolution to a graph database condenses network graphs to improve analytics and save your analysts time.

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Segmentation of Wheat Crops using MLIB’s K-Means

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction to MLIB’s K Means Most of the machine learning task usually revolves around either the supervised learning approach i.e. the one which gives the label (the column to be predicted) or the unsupervised learning that don’t have any label column in the […].

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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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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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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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The Role of Network as a Service (NaaS) in Supporting Business Agility through an Asset-Lite Model

CIO Business Intelligence

By: Amrita Shergill, Account Manager, NaaS and Ecosystem Sales. COVID-19’s disruption of traditional business models has paved the way for long overdue business operational changes. Declining revenues, along with the burden of growing fixed cost during Covid, induced lockdowns and eroded margins. Due to these tough conditions, organizations required working capital to keep the lights on.

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Systematize Your Approach to Scaling AI

Dataiku

In a recent Dataiku Product Days session, Padmashree Shagrithaya, VP of Analytics and AI at Capgemini, shared with us the reasons why systematizing your organization’s approach to scaling AI is so important. In this blog, we are excited to share her insights, including a look into why MLOps is the puzzle piece you’ve been missing all along.

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Understanding User Needs and Satisfying Them

Speaker: Scott Sehlhorst

We know we want to create products which our customers find to be valuable. Whether we label it as customer-centric or product-led depends on how long we've been doing product management. There are three challenges we face when doing this. The obvious challenge is figuring out what our users need; the non-obvious challenges are in creating a shared understanding of those needs and in sensing if what we're doing is meeting those needs.

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Unlocking Automation for Intelligent Operations and Business Growth

CIO Business Intelligence

A modern, agile IT infrastructure has become the critical enabler for success, allowing organizations to unlock the potential of new technologies such as AI, analytics, and automation. Yet modernization journeys are often bumpy; IT leaders must overcome barriers such as resistance to change, management complexity, high costs, and talent shortages. Those successful in their modernization endeavors can expect significant business gains.

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Making the Case for DS/ML and Domino in a Recession

Domino Data Lab

Recession? Data science to the rescue! A recession looms on the not-so-distant horizon. As a data science leader you may be getting harder questions lately. Where can we trim costs? What’s the value of x, y or z? In recent decades I have experienced a few downturns myself. As a customer exec sponsor, avid enabler of sales teams and leader of pricing committees and executive customer advisory boards I have witnessed firsthand the pressure recessions can exert.

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Leverage Blockchain Technology for Supply Chain Management

BizAcuity

Quite recently, the logistics industry was introduced to Edge and Fog cloud computing , to make the use of IoT devices (for analytics) cost-effective and efficient. As a result, the demand for IoT devices is expected to sky-rocket in the near-future. A few years after the advent of cloud computing solutions (2006), came cryptocurrencies like Bitcoin (2009) and Ethereum which leveraged blockchain to decentralize financial transactions.

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Making a Mark with Nutanix Cloud Manager

Nutanix

The Nutanix Cloud Manager (NCM) solution addresses these concerns by bringing simplicity and ease of use to building and managing cloud deployments.

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Beyond the Basics of A/B Tests: Highly Innovative Experimentation Tactics You Need to Know

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.

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6 Tips for Building a Successful AI Software Business

Smart Data Collective

Are you considering starting a software business that sells AI applications? This can be a great idea, since the demand for AI technology is booming. Artificial intelligence technology has become more popular than anyone ever projected. Here are some statistics on the changes AI is creating : A report by Gartner shows that companies are projected to spend over $62 billion on AI this year alone.

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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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