Fri.May 20, 2022

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Most Important SQL Queries for Beginners

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction SQL stands for “Structured Query Language” and is a programming language that is used to query and manipulate relational databases. The number of data points is increasing every minute, but raw data offers no insight. All this data is stored in databases […].

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Top 10 AI graduate degree programs

CIO Business Intelligence

Artificial Intelligence (AI) is a fast-growing and evolving field, and data scientists with AI skills are in high demand. The field requires broad training involving principles of computer science, cognitive psychology, and engineering. If you want to grow your data scientist career and capitalize on the demand for the role, you might consider getting a graduate degree in AI.

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PySpark MLIB Library

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction In this article, we will be working withPySpark‘s MLIB library it is commonly known as the Machine learning library of PySpark where we can use any ML algorithm that was previously available in SkLearn (sci-kit-learn). We can perform all the operations which were […].

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Operationalizing Machine Learning from PoC to Production

KDnuggets

Most companies haven’t seen ROI from machine learning since the benefit is only realized when the models are in production. Here’s how to make sure your ML project works.

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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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Multiple Web Scraping Using Beautiful Soap Library

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Web scraping, is an approach to extract content and data from a website. Web Scraping makes use of intelligence automation methods to draw millions of datasets in a comparatively shorter amount of time. There are ample ways to get data from websites. […]. The post Multiple Web Scraping Using Beautiful Soap Library appeared first on Analytics Vidhya.

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A Comprehensive Survey on Trustworthy Graph Neural Networks: Privacy, Robustness, Fairness, and Explainability

KDnuggets

We give a taxonomy of the trustworthy GNNs in privacy, robustness, fairness, and explainability. For each aspect, we categorize existing works into various categories, give general frameworks in each category, and more.

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National Grid’s energy transformation is fueled by IT

CIO Business Intelligence

Some might wonder why a high-level tech exec would quit and go work for a utility. That’s what some people asked of Adriana “Andi” Karaboutis, the former CIO of Dell who left the computer giant and was named National Grid’s global chief information and digital officer in 2017. Her answer? She gets to change the world. “It’s one of the most stressful, but challenging jobs — it’s securing and transforming critical national infrastructure,” says Karaboutis, who is excited to be a player in not one

IT 105
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The DataHour: Create Effective DS Notebooks and Communication

Analytics Vidhya

Dear Readers, We bring you yet another exciting DataHour session for you. This session will be conducted by Martin Henze who is a Data Scientist at YiptiData and is a Kaggle Grandmaster. He will conduct an enriching session on how to create effective Data Science Notebooks and Communication. Sounds exciting? Register now! BOOK YOUR SEAT […]. The post The DataHour: Create Effective DS Notebooks and Communication appeared first on Analytics Vidhya.

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The 6 Python Machine Learning Tools Every Data Scientist Should Know About

KDnuggets

Let's look at six must-have tools every data scientist should use.

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Knapsack Problem in Python

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction This article will focus on several approaches for solving the Knapsack challenge in Python. The greedy methodology, dynamic programming, or a brute force approach can all be used to solve the knapsack problem. Both the problem and solution are analyzed using the […].

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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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Pets at Home’s CIO unleashes IT on customer experience

CIO Business Intelligence

At a time when other IT leaders have been forced to scale back investments, shuffle projects, and make do with limited resources, Pets at Home’s CIO William Hewish, finds himself mid-transformation, hiring in IT teams, and investing in technology more than ever before. Booming pet sales, a fledgling veterinary practice, and the return of dog grooming services have seen the FTSE250-listed pet supply retailer outperform forecasts, even during COVID-19.

IT 98
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Advanced OpenCV: BGR Pixel Intensity Plots

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction This is another article pertaining to the topic of Computer Vision in the Python Programming Language. This article picks us from our previous ones. Up to this point in our advanced OpenCV tutorial, specifically focusing on our topic of Contrast, we have […]. The post Advanced OpenCV: BGR Pixel Intensity Plots appeared first on Analytics Vidhya.

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Why full-stack observability is critical for 2022

CIO Business Intelligence

Technologists in every industry recognise the critical need to deliver exceptional digital experiences to meet ever-rising customer expectations. Increasingly complex and fragmented IT estates – accentuated by the dramatic growth of cloud computing – mean IT teams can’t afford any slip-ups. They must be able to monitor and optimise online performances at all times.

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Working with DynamoDb in Python using BOTO3

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Source: Link Introduction In this article, we are going to talk about a dynamo DB a No-SQL, and a very highly scalable database provided by Amazon AWS. DynamoDB is a scalable hosted NoSQL database service that offers low latency and key-value pair databases. It is […]. The post Working with DynamoDb in Python using BOTO3 appeared first on Analytics Vidhya.

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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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Comment se constituer un réseau : 17 conseils pour les timides

CIO Business Intelligence

Réseautage pour timides : 17 moyens pour réussir. En affaires, le réseautage est la clé du succès. Il vous permet de trouver des emplois, recruter des talents et identifier clients et investisseurs potentiels. Mais se créer un cercle social est une rude épreuve pour les timides – surtout les geeks. Cette pratique peut leur sembler artificielle ou malhonnête.

IT 98
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Creating an ML Web App and Deploying it on AWS

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Most data science projects deploy machine learning models as an on-demand prediction service or in batch prediction mode. Some modern applications deploy embedded models in edge and mobile devices. ML web app Model creation is easy but the ML model that you […]. The post Creating an ML Web App and Deploying it on AWS appeared first on Analytics Vidhya.

IT 269
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The Risks and Impacts of Conceiving and Launching AI-Driven Business Services

Dataiku

In the earlier articles of this series, we’ve discussed the need for AI builders to be aware of the benefits and risks associated with it , as well as our first deep dive into risks associated with the source data. Now, it’s time to discuss the risks and impacts associated with models and service implementation. This implementation of AI-driven services can take many forms.

Risk 59
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Data Virtualization in the New Era of Lending

Data Virtualization

Reading Time: 3 minutes In recent years, the banking industry has seen the emergence of new modes of financing, new business models, and the development of new technical innovations, all of which relies on the digital exchange of financial data. With open banking and. The post Data Virtualization in the New Era of Lending appeared first on Data Virtualization blog - Data Integration and Modern Data Management Articles, Analysis and Information.

Finance 52
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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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5 Leading Indicators of Failure in Analytics Projects

InsightOut

If you’re a business stakeholder (i.e. CFO, COO, VP of Analytics, etc.) currently sponsoring an analytics project, you’re well aware that these projects are incredibly complex, prone to error and/or failure. You likely don’t have the bandwidth to spend time and energy deciphering the technical updates from your team and may sometimes miss the red flags as a result.

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3 Easy Steps to Finding Patterns in Big Data

Jet Global

It’s normal to compare your company and yourself against competitors in the industry and colleagues in your department. One of the most powerful ways to defend against competitors and shine amongst your peers is to find that one golden nugget of data that drives action. In technical terms, it’s the art and science of mining your data to find key patterns.

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4 Ways Angles Optimizes ERP Reporting and Why You’re Gonna Love It!

Jet Global

The beauty of enterprise resource planning (ERP) software is its ability to provide a central view of your organization’s financial, operational, and business data. It automates repeatable tasks, streamlines your ability to create reports and analyze data, and sheds clarity on sales, marketing, human resources, supply chain management, and even manufacturing.

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4 Ways Tax Technology Enables Compliant Transfer Pricing

Jet Global

Companies operating in multiple countries face significant challenges in accounting for intercompany transactions. They’re required to apply specific transfer pricing methods to set the prices of goods and services exchanged among the entities they control. Regulatory scrutiny of transfer pricing practices is more intense than ever before. The adoption of the BEPS 2 inclusive framework is evidence that authorities around the globe are focusing greater attention on the transactions that take plac

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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.