Wed.Jun 23, 2021

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All You Need To Know About Reinforcement Learning For Digital Marketing

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon What Is Reinforcement Learning? Reinforcement learning, at its essentials, is determining. The post All You Need To Know About Reinforcement Learning For Digital Marketing appeared first on Analytics Vidhya.

Marketing 292
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The Role of DataOps in Data Modernization

DataKitchen

Cognizant's JP Thakur & DataKitchen's Chris Bergh discuss how DataOps sets the foundation for Data Modernization initiatives enabling continuous data & insight. The post The Role of DataOps in Data Modernization first appeared on DataKitchen.

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Traversing the Trinity of Statistical Inference Part 2: Confidence Intervals

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction This is the second article of the series on ‘Traversing. The post Traversing the Trinity of Statistical Inference Part 2: Confidence Intervals appeared first on Analytics Vidhya.

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6 Ways Augmented Reality Is Changing These 6 Industries

Smart Data Collective

Technology is moving at such a fast rate that everyone—including the business sector—is trying to keep up. There’s no doubt in how technology has improved almost all business processes, and one development that’s taking off is augmented reality. Augmented reality (AR) uses real-time computer-generated images in the surroundings of the viewer. So as a user, you can perceive the augmented objects which are a part of the real world to give you an interactive and enhanced experience of the visible w

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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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Resume Screening with Natural Language Processing in Python

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Contents Why do we need Resume Screening? What is Resume Screening? The post Resume Screening with Natural Language Processing in Python appeared first on Analytics Vidhya.

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5 Best Workspaces for Data Scientists with their Own Businesses

Smart Data Collective

Data scientists have much greater job security than most other professions. They are discovering that countless organizations are interested in hiring experienced programmers that can create big data applications. However, data scientists also face difficult workloads and other challenges. Many of data programmers are expected to work remotely. However, this can be hard for those that do not like this environment.

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What Is DataOps?

Dataiku

As analytics projects move into production , the rubber meets the road, as they say, and analytics have to perform and help create value. Timely data is a critical driver for this value. Without fresh data, dashboards are out of date, and there are either poor or no predictions from models, causing end users to lose trust. So it should be no surprise that an entire field exists to ensure that production data gets from point A to point B when we need it — it's called DataOps.

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Tune Hyperparameters with GridSearchCV

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Data-Driven decision-making has large involvement of Machine Learning Algorithms. For a. The post Tune Hyperparameters with GridSearchCV appeared first on Analytics Vidhya.

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How to Keep Security Skill Gaps From Affecting Your Security Posture

CDW Research Hub

The past year has been tough on IT security teams. A perfect storm of surging attacks during the pandemic coupled with the increasingly bleak cybersecurity skills shortage has left IT teams feeling “outnumbered,” according to a CNBC report. The need to quickly enable and manage the newly-remote workforce has caused almost half of the IT workers surveyed to be shifted from their previous security tasks— while reports indicate a 63% rise in attacks as cybercriminals took advantage of the shi

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Performance Comparision of Tuned and Untuned Classification Models

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Hyperparameters for a model can be chosen using several techniques such. The post Performance Comparision of Tuned and Untuned Classification Models appeared first on Analytics Vidhya.

Modeling 267
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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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Building AI with AutoML and Composable ML

DataRobot

As they strive to improve models, data scientists continually try new approaches to refine their predictions. To help data scientists experiment faster, DataRobot has added Composable ML to automated machine learning. This allows data science teams to incorporate any machine learning algorithm or feature engineering method and seamlessly combine them with hundreds of built-in methods.

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Understanding ResNet and analyzing various models on the CIFAR-10 dataset

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction Deep neural networks are very fascinating and it produces magic. The post Understanding ResNet and analyzing various models on the CIFAR-10 dataset appeared first on Analytics Vidhya.

Modeling 257
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4 Key Elements of Enterprise AI Strategy

bridgei2i

4 Key Elements of Enterprise AI Strategy. Enterprise AI harnesses advanced artificial intelligence techniques to deliver organizational data, knowledge, and information. It combines the human capacities for learning, perception, and interaction to perform business operations. Integrating enterprise AI into the business platform enables companies to identify trends in data sets for process automation, sales and business forecasting, and automated insights.

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Part 10: Step by Step Guide to Master NLP – Named Entity Recognition

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction This article is part of an ongoing blog series on. The post Part 10: Step by Step Guide to Master NLP – Named Entity Recognition 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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4 Key Elements of Enterprise AI Strategy

bridgei2i

PODCAST: Exploring Data, Digital and Artificial Intelligence through a Holistic Lens. Listening time: 45 minutes. Exploring Data, Digital and Artificial Intelligence through a Holistic Lens. In the latest episode of ‘The Data Strategy Show’, host Samir Sharma engages Prithvijit(Jit) Roy and Pritam K Paul, Co-Founders of BRIDGEi2i, in a riveting discussion.

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Spotify Recommendation System using Pyspark and Kafka streaming

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction We all love listening to our favorite music every day. The post Spotify Recommendation System using Pyspark and Kafka streaming appeared first on Analytics Vidhya.

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6 Ways AI Is Taking The Insurance Industry Into The Future

bridgei2i

6 Ways AI Is Taking The Insurance Industry Into The Future. The use of Artificial Intelligence is increasing exponentially across all major industries. For example, the insurance industry is witnessing a strong acceleration in the adoption and growth of AI for task automation, improvement of service quality, and data-driven decision making. Insurance is a resource-intensive field.

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TS-SS similarity for Answer Retrieval from Document in Python

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction This article focuses on answer retrieval from a document by. The post TS-SS similarity for Answer Retrieval from Document in Python appeared first on Analytics Vidhya.

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Manufacturing Sustainability Surge: Your Guide to Data-Driven Energy Optimization & Decarbonization

Speaker: Kevin Kai Wong, President of Emergent Energy Solutions

In today's industrial landscape, the pursuit of sustainable energy optimization and decarbonization has become paramount. Manufacturing corporations across the U.S. are facing the urgent need to align with decarbonization goals while enhancing efficiency and productivity. Unfortunately, the lack of comprehensive energy data poses a significant challenge for manufacturing managers striving to meet their targets.

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5 Reasons To Hire An AI Consulting Company For Your AI Journey

bridgei2i

5 Reasons To Hire An AI Consulting Company For Your AI Journey. AI adoption in the business landscape is increasing exponentially. Organizations are now acknowledging AI’s growing momentum and deploying it into their business platforms to improve the way they operate, and their ability to provide a better customer experience. AI can support three critical functions: automation of tasks, data-based insight generation, and building engagement between brand and customers.

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Part 9: Step by Step Guide to Master NLP – Semantic Analysis

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction This article is part of an ongoing blog series on. The post Part 9: Step by Step Guide to Master NLP – Semantic Analysis appeared first on Analytics Vidhya.

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How to Simplify Digital Workspace Security

Nutanix

Citrix Cloud services, including Citrix Virtual Apps and Desktop service, Citrix Secure Browser service, and Citrix Gateway service, remove the complexity of managing your virtual workspaces, while giving you the tools you need to provide your end users with secure remote access.

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Regex Cheatsheet For Natural Language Processing tasks

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction Regex is a shorthand for Regular Expression. It is a. The post Regex Cheatsheet For Natural Language Processing tasks appeared first on Analytics Vidhya.

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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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Insurers – Be Aware of the Hidden Exposures in assessing the economic impact of Climate Risk

Cloudera

Climate change is a challenge for insurers in some obvious ways, such as stronger and more frequent natural disasters. Yet there are also more subtle risks to monitor, including changes to insured assets, risks, and exposures. Climate impacts the production quality and quantity of insured consumable goods, their location, and their supply chains. Climate change can also impact the insurance carrier as an enterprise itself—similarly to cyber risks, insurers underwrite cyber risks for their custom

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Memory Networks for Q&A(Question and Answer) Applications

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction This article shows the power of Memory Networks for Question. The post Memory Networks for Q&A(Question and Answer) Applications appeared first on Analytics Vidhya.