Sat.Nov 12, 2022 - Fri.Nov 18, 2022

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Introduction to Pandas for Data Science

KDnuggets

The Pandas library is core to any Data Science work in Python. This introduction will walk you through the basics of data manipulating, and features many of Pandas important features.

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Hierarchical Clustering in Machine Learning

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Hierarchical clustering is one of the most famous clustering techniques used in unsupervised machine learning. K-means and hierarchical clustering are the two most popular and effective clustering algorithms. The working mechanism they apply in the backend allows them to provide such a […].

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How to choose a programming language for your machine learning project?

Dataconomy

Looking for the best language for machine learning? If you’re new to the topic, the hardest part of mastering machine learning is figuring out where to start. It is normal to question the ideal language for machine learning, regardless of whether you are looking to brush up on your machine.

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Top 5 Reasons You Should Become a Data Analyst

Smart Data Collective

Data has unquestionably had a huge impact on our lives. It is becoming more prolific as well, as 2.5 quintillion bytes of data are generated every day. Data is everything in today’s tech-driven world. Every company collects data , analyzes it, and makes its marketing and sales strategies based on the data’s results to attract more customers and increase sales and profits.

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How to Achieve High-Accuracy Results When Using LLMs

Speaker: Ben Epstein, Stealth Founder & CTO | Tony Karrer, Founder & CTO, Aggregage

When tasked with building a fundamentally new product line with deeper insights than previously achievable for a high-value client, Ben Epstein and his team faced a significant challenge: how to harness LLMs to produce consistent, high-accuracy outputs at scale. In this new session, Ben will share how he and his team engineered a system (based on proven software engineering approaches) that employs reproducible test variations (via temperature 0 and fixed seeds), and enables non-LLM evaluation m

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If I Had To Start Learning Data Science Again, How Would I Do It?

KDnuggets

While different ways to learn Data Science for the first time exist, the approach that works for you should be based on how you learn best. One powerful method is to evolve your learning from simple practice into complex foundations, as outlined in this learning path recommended by a physicist who turned into a Data Scientist.

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Top Interview Questions on Voting Ensembles in Machine Learning

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Voting ensembles are the ensemble machine learning technique, one of the top-performing models among all machine learning algorithms. As voting ensembles are the most used ensemble techniques, there are lots of interview questions related to this topic that are asked in data […].

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How Artificial Intelligence Can Improve Your Fundraising Efforts

Smart Data Collective

AI technology has radically changed the future of many industries and is changing the way companies do business forever. Most of the discussions on the benefits of AI focus on helping traditional businesses boost their bottom line. In our capitalist economy, this is not surprising. However, AI also offers many benefits for nonprofits. Dr. Lobna Karoui of the Forbes Nonprofit Council wrote an article on the many excellent benefits of AI.

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Git for Data Science Cheatsheet

KDnuggets

Knowing git is no longer an option for data professionals. Grab this handy reference sheet now and make sure you know how to git the job done.

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How to Use DevOps Azure to Create CI and CD Pipelines?

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Introduction In this article, we will discuss DevOps, two phases of DevOps, its advantages, and why we need DevOps along with CI and CD Pipelines. Before DevOps, software development teams, quality assurance (QA) teams, security, and operations would test the code for several […].

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Meta’s Galactica AI can write your essays in a minute

Dataconomy

Meta’s Galactica AI is the latest tool that artificial intelligence technologies make our lives easier. AI for science makes sense, right? Although you can ask Meta Galactica AI funny questions like “Can dogs fly?” its primary objective is to assist users with academic writing and research. Who knows, maybe this.

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The 2nd Generation of Innovation Management: A Survival Guide

Speaker: Chris Townsend, VP of Product Marketing, Wellspring

Over the past decade, companies have embraced innovation with enthusiasm—Chief Innovation Officers have been hired, and in-house incubators, accelerators, and co-creation labs have been launched. CEOs have spoken with passion about “making everyone an innovator” and the need “to disrupt our own business.” But after years of experimentation, senior leaders are asking: Is this still just an experiment, or are we in it for the long haul?

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Versatility of Using Machine Learning for Video Editing

Smart Data Collective

Video editing has changed significantly over the years. During the first half of the 20th Century, people had to splice film manually, which could create all kinds of problems. Machine learning technology is one of the new technologies that has drastically changed the state of video editing. This technology uses deep neural networks to automate the process.

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What To Expect for AI Quality Trends In 2023

KDnuggets

Based on the recent discussions with dozens of Fortune 500 data science teams, we can expect to see a continued spotlight on AI model quality in 2023.

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Building Our Applications Using Flutter

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Flutter where F stands for Front- end, L stands for Language, U stands for UI layout, T stands for Time, T stands for Tools, E stands for Enable, and R stands for Rich. In other words, Flutter is a tool used in […]. The post Building Our Applications Using Flutter appeared first on Analytics Vidhya.

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AI-powered note-taking app Notion understands what you want to write and writes it for you

Dataconomy

Notion AI is the latest tool that artificial intelligence technology helps you with writing. The well-known note-taking tool Notion unveiled a new feature. The ‘Notion AI’ feature automates the creation of written content in the app, including blog posts, brainstorming ideas, to-do lists, and even literary works, using generative artificial.

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Apache Airflow® Best Practices: DAG Writing

Speaker: Tamara Fingerlin, Developer Advocate

In this new webinar, Tamara Fingerlin, Developer Advocate, will walk you through many Airflow best practices and advanced features that can help you make your pipelines more manageable, adaptive, and robust. She'll focus on how to write best-in-class Airflow DAGs using the latest Airflow features like dynamic task mapping and data-driven scheduling!

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Workday Accelerators Reflect The ‘Shape Of Industry’

Adrian Bridgwater for Forbes

This is the ‘shape’ of an industry i.e. a descriptive digital map and reference architecture that - if shown to a data scientist in a blind test - would likely enable them to distinguish between (let’s say) a healthcare business from a petrochemicals enterprise.

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Research Papers for NLP Beginners

KDnuggets

Read research papers on neural models, word embedding, language modeling, and attention & transformers.

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Analyzing and Comparing Deep Learning Models

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Deep Learning Overview Deep Learning is a subset of Machine Learning. Deep Learning is established on Artificial Neural Networks to mimic the human brain. In deep learning, we add several hidden layers to gather the most minute details to learn the data for […]. The post Analyzing and Comparing Deep Learning Models appeared first on Analytics Vidhya.

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Google location settlement: The search engine giant will pay $391.5 million to settle lawsuits

Dataconomy

After a $391.5 million Google location tracking lawsuit settlement, “Google location settlement claim” is one the most searched queries on the Internet, and it makes totally sense. The Google location settlement amount is considerably notable when we look at the latest settlements, such as the Snapchat privacy settlement, T-Mobile data.

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Optimizing The Modern Developer Experience with Coder

Many software teams have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth. This is where Coder comes in. In our 101 Coder webinar, you’ll explore how cloud-based development environments can unlock new levels of productivity. Discover how to transition from local setups to a secure, cloud-powered ecosystem with ease.

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How to speed up claims processing with automated car damage detection

Data Science Blog

AI drives automation, not only in industrial production or for autonomous driving, but above all in dealing with bureaucracy. It is an realy enabler for lean management! One example is the use of Deep Learning (as part of Artificial Intelligence) for image object detection. A car insurance company checks the amount of the damage by a damage report after car accidents.

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7 SQL Concepts You Should Know For Data Science

KDnuggets

The post explains all the key elements of SQL that you must know as a data science practitioner.

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Comprehensive Guide for Interview Questions on Transfer Learning

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Source: Canva Introduction Competitive Deep Learning models rely on a wealth of training data, computing resources, and time. However, there are many tasks for which we don’t have enough labeled data at our disposal. Moreover, the need for running deep learning models on […].

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Advances In AI Help Marketers With Live Streaming Video Marketing

Smart Data Collective

The COVID-19 pandemic fundamentally altered the marketing landscape , and in many ways for the better. While live streaming and video marketing have long been a part of a marketers toolkit, the prolonged lockdowns, social distancing, and travel bans over the course of the pandemic helped thrust it into the limelight, resulting in widespread adoption and since making it indispensable for business. .

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15 Modern Use Cases for Enterprise Business Intelligence

Large enterprises face unique challenges in optimizing their Business Intelligence (BI) output due to the sheer scale and complexity of their operations. Unlike smaller organizations, where basic BI features and simple dashboards might suffice, enterprises must manage vast amounts of data from diverse sources. What are the top modern BI use cases for enterprise businesses to help you get a leg up on the competition?

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Brick by brick: Becoming a data architecture expert in 2022

Dataconomy

Data architects are leading experts in data-focused professions. Acquiring the skills necessary to become a professional is like laying the bricks of a wall. If you proceed in a planned and meticulous manner, you will have a solid wall. Otherwise, without an expert opinion of data architecture, a business should.

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How LinkedIn Uses Machine Learning To Rank Your Feed

KDnuggets

In this post, you will learn to clarify business problems & constraints, understand problem statements, select evaluation metrics, overcome technical challenges, and design high-level systems.

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State Space Search Optimization Using Local Search Algorithms

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Until now, we have seen two different approaches to state space search. i.e., Uninformed Search and Informed Search Strategies. These search strategies compute the path to the goal state from the initial state. A* Search Strategy is one of the best strategies […].

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5 Reasons Why Your Organization Should Store Data in the Cloud

Smart Data Collective

Cloud technology is becoming more essential for modern organizations with each passing day. A report by Gartner shows that cloud technology has transformed modern business in previously unimaginable ways. The report indicated that 75% of organizations using the cloud have a “cloud first” policy, which is a much higher figure than previous versions of the report indicated.

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Marketing Operations in 2025: A New Framework for Success

Speaker: Mike Rizzo, Founder & CEO, MarketingOps.com and Darrell Alfonso, Director of Marketing Strategy and Operations, Indeed.com

Though rarely in the spotlight, marketing operations are the backbone of the efficiency, scalability, and alignment that define top-performing marketing teams. In this exclusive webinar led by industry visionaries Mike Rizzo and Darrell Alfonso, we’re giving marketing operations the recognition they deserve! We will dive into the 7 P Model —a powerful framework designed to assess and optimize your marketing operations function.

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$300b World Cup seen through satellite imagery

FlowingData

Qatar spent $300 billion with a ‘b’ over the past twelve years to host the World Cup. For Bloomberg, Simone Foxman, Adveith Nair, and Sam Dodge show what that money went towards through satellite imagery. The shift is striking with a transition from desert flat land to stadiums and high rises over a short period of time. These before-and-after satellite imagery pieces usually go the opposite direction, like after a natural disaster.

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9 Free Resources to Master Python

KDnuggets

Python is the most popular general-purpose language and you can learn it for free.

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Top 8 Interview Questions on TensorFlow

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Source: totaljobs.com Introduction TensorFlow is one of the most well-liked and promising deep learning frameworks for devising novel deep learning solutions. Given its popularity and wide usage in companies, startups, and business firms to automate things and develop new systems, it is imperative to have […].

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AI Significantly Increases the Dangers of Social Media Hacking

Smart Data Collective

Artificial intelligence has led to some major changes in the nature of business. Companies around the world spent over $328.34 billion on AI last year and this figure is growing at a rapid rate. It is projected to be worth nearly $1.4 trillion by 2029. Many companies have started using AI technology to streamline and automate many aspects of their operations, including social media marketing.

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Prepare Now: 2025s Must-Know Trends For Product And Data Leaders

Speaker: Jay Allardyce, Deepak Vittal, Terrence Sheflin, and Mahyar Ghasemali

As we look ahead to 2025, business intelligence and data analytics are set to play pivotal roles in shaping success. Organizations are already starting to face a host of transformative trends as the year comes to a close, including the integration of AI in data analytics, an increased emphasis on real-time data insights, and the growing importance of user experience in BI solutions.