Fri.Jan 28, 2022

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Underrated Apriori Algorithm Based Unsupervised Machine Learning

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Hello there, learners. I hope everyone is doing well. This pandemic provides us with more opportunities to learn new topics through the work-from-home concept, allowing us to devote more time to doing so. This prompted me to consider some mundane but intriguing topics. […].

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Why Choose a Hybrid Data Cloud in Financial Services?

Cloudera

As I meet with our customers, there are always a range of discussions regarding the use of the cloud for financial services data and analytics. Customers vary widely on the topic of public cloud – what data sources, what use cases are right for public cloud deployments – beyond sandbox, experimentation efforts. Private cloud continues to gain traction with firms realizing the benefits of greater flexibility and dynamic scalability.

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Deploying ML Models Using Kubernetes

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction A Machine Learning solution to an unambiguously defined business problem is developed by a Data Scientist ot ML Engineer. The Model development process undergoes multiple iterations and finally, a model which has acceptable performance metrics on test data is taken to the production […].

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Celebrating Awareness of the Importance of Data Privacy

KDnuggets

January 28 is Data Privacy Day, bringing awareness of the basic foundation and principles of data protection. Read about the day itself, why data privacy is important, and best practices you can adhere to in order to help ensure the privacy of your data.

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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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A Detailed Guide for Data Handling Techniques in Data Science

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Image Source: Author Introduction Data Engineers and Data Scientists need data for their Day-to-Day job. Of course, It could be for Data Analytics, Data Prediction, Data Mining, Building Machine Learning Models Etc., All these are taken care of by the respective team members and […].

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Fine-Tuning BERT for Tweets Classification with HuggingFace

KDnuggets

In this blog, we used the Hugging Face library to fine-tune BERT on the classification task. We classified tweets related to COVID.

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Top 4 Ways to Improve Storage Performance and Increase Agility

CDW Research Hub

Understanding storage performance is a significant factor in determining the efficiency and longevity of an organization’s infrastructure. In today’s data-driven world, your storage architecture must be able to store, protect and manage all sources and types of data while scaling to manage the exponential growth of data created by IoT, videos, photos, files, and apps.

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A Beginner’s Introduction to starting out with Scala

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. [link] Index 1) Introduction 2) Installation 3) Writing code with Scala What is Scala? Scala is a high-level language that combines the paradigms of both functional and object-oriented programming, which makes it powerful. It is used by tech giants like Netflix, Twitter, and […].

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What to Expect From Your Career Path as a Data Scientist

KDnuggets

Learn about the roles between you and the Director of Data Science.

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A Comprehensive Guide on Neo4j

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Today, most organizations invest more than ever in their resources to finely leverage graph analytics to extract valuable insights from massive, complex volumes of data. For those who don’t know, Neo4j is one of the most popular graph databases that gives developers and data […].

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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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Use the Cloud More Creatively

Data Virtualization

Reading Time: 3 minutes Most organizations are moving their IT systems to the cloud. In most cases, they are performing these migrations to increase the scalability of both processing and storage, and generally to free the organization from the limitations of on-premises systems. However, The post Use the Cloud More Creatively appeared first on Data Virtualization blog - Data Integration and Modern Data Management Articles, Analysis and Information.

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Text Classification & Entity Recognition & in NLP

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Source: medium.com Hey Folks! Welcome to the NLP article series. so far we have covered the multiple text processing techniques in the first article. In the second part of the NLP article series, we saw different types of feature extraction techniques and word […]. The post Text Classification & Entity Recognition &amp in NLP appeared first on Analytics Vidhya.

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Dataiku Govern: The Scaling AI Superhero

Dataiku

This past December, in an exciting Dataiku Product Days session, Melanie Reversat and Sean Conley, Dataiku Product Managers, walked us through building AI Governance plans and workflows in Dataiku. Let’s reflect on the valuable insights for AI Governance strategy and lessons of the discussion.

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Named Entity Recognition App using Spacy, Gradio, and Hugging face Spaces

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Named Entity Recognition(NER) is a subtask of information extraction that locates and classifies different entities like name, organization, person, etc., in a sentence. Usually, it is done to classify named entities mentioned in unstructured text into predefined categories.

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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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Managing AI Decision-Making Part 4: Human out of the Loop

Decision Management Solutions

Continuing our series on AI management options (kicked off by the HBR article Managing AI Decision-Making Tools ), the final option is Human out of the loop (HOOTL). In these systems, the decisions must not only be made autonomously but it is not practical or desirable for humans to inject themselves too directly into the decision-making approach being used.

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Movie Recommendation Engine with NLP

Analytics Vidhya

This article was published as a part of the Data Science Blogathon.Source – VSH Solutions Introduction Have you ever imagined how Amazon Prime, Netflix, and Google predict your taste in movies so easily? It is no rocket science, that after completing one movie/series you loved, and rated it on these platforms, a few more adds up […]. The post Movie Recommendation Engine with NLP appeared first on Analytics Vidhya.

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cuML: Blazing Fast Machine Learning Model Training with NVIDIA’s RAPIDS

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Whether you’ve been in the Data Science and Machine Learning arena for quite some time or have just stepped into this exciting avenue – you sure have stumbled upon Python’s popular Machine Learning model building library, you guessed it right – Scikit learns.

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Master Natural Language Processing in 2022 with Best Resources

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Source – eyesight Introduction Natural Language Processing is one of the most popular subdomains of Artificial Intelligence. NLP technologies focus on teaching the machines how to interpret the human language and mimic and understand and generate it. It is no rocket science how your grammatical […].

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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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Embedding Techniques on Text Data using KNN

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. In this article, we will try to classify Food Reviews using multiple Embedded techniques with the help of one of the simplest classifying machine learning models called the K-Nearest Neighbor. Here is the agenda that will follow in this article. Objective Loading Data Data […].