Mon.Sep 06, 2021

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Corinium acquires RE•WORK

Corinium

MONDAY, 6 SEPTEMBER 2021 – Corinium Global Intelligence (“Corinium” or “the Group”), the global B2B information service provider of events and market intelligence company, has announced its acquisition of RE•WORK today. RE•WORK is the leading events provider for deep learning as well as applied AI. Its events have been bringing together the latest technological advancements as well as practical examples to apply AI to solve challenges in business and society since 2013.

B2B 435
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Q-Q plot – Ensure Your ML Model is Based on the Right Distribution

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Introduction Q-Q plots are also known as Quantile-Quantile plots. As the name suggests, they plot the quantiles of a sample distribution against quantiles of a theoretical distribution. Doing this helps us determine if a dataset follows any particular type of probability distribution like normal, […].

Modeling 369
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Diving Into Digital Transformation With Deloitte Consulting’s Managing Director of Applied AI

Dataiku

As the competitor and consumer spaces shift to adapt to emerging innovations, companies have developed a thirst for machine learning (ML) investment, hoping to apply ML as a prime AI enabler. Organizations are jumping to fill their digital canvases, but many are struggling to define exactly what that looks like and approach the journey with clarity.

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Creating a Movie Reviews Classifier Using TF-IDF in Python

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Introduction Natural Language Processing has many applications these days. An important application of Natural Language Processing is text classification and text analytics. For this purpose, we need to create a classifier. But, the problem that lies in dealing with text data is that computers […].

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Beyond the Basics of A/B Tests: Innovative Experimentation Tactics You Need to Know as a Data or Product Professional

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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Diving Into Digital Transformation With Deloitte Consulting’s Managing Director of Applied AI

Dataiku

As the competitor and consumer spaces shift to adapt to emerging innovations, companies have developed a thirst for machine learning (ML) investment, hoping to apply ML as a prime AI enabler. Organizations are jumping to fill their digital canvases, but many are struggling to define exactly what that looks like and approach the journey with clarity.

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Getting Started with Graph Neural Networks

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Table of contents 1. The motivation behind Graph Neural Networks 2. GNN Algorithm 3. GNN implementation on Karate network 4. Applications of GNN 5. Challenges of GNN 6. Study papers on GNN The motivation behind Graph Neural Networks Graphs are receiving a lot […]. The post Getting Started with Graph Neural Networks appeared first on Analytics Vidhya.

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An Introductory Guide to Big Data Analytics

Analytics Vidhya

This article was published as a part of the Data Science Blogathon One thing that comes to our mind after hearing Big Data Analytics is that this field might be somewhat related to Data Science right? So starting with the answer, yes it’s related to the same the only difference is, in Big Data Analytics, analysts […]. The post An Introductory Guide to Big Data Analytics appeared first on Analytics Vidhya.

Big Data 305
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Beyond the Language Wars: R & Python for the Modern Data Scientist

DataCamp

In this episode of DataFramed, we speak with Rick Scavetta and Boyan Angelov about their new book, Python and R for the Modern Data Scientist: The Best of Both Worlds, and how it dawns the start of a new bilingual data science community.

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Introduction to Artificial Neural Networks

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Introduction: Artificial Neural Networks (ANN) are algorithms based on brain function and are used to model complicated patterns and forecast issues. The Artificial Neural Network (ANN) is a deep learning method that arose from the concept of the human brain Biological Neural Networks.

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A Deep Dive Into Transformers Library

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Image 1 Introduction We have explored the Pipeline API of the transformers library which can be used for quick inference tasks. You can find more about it in my previous blog post here. Now let’s go deep dive into the Transformers library and […]. The post A Deep Dive Into Transformers Library 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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Advanced Image Contrast – The Pixel Intensity Histogram

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Introduction to Pixel Intensity Histogram From our previous article, we have gained insight and understanding into the concept of image contrast and we have seen an example of how a Histogram can be plotted to show the number of pixels belonging to specific pixel […]. The post Advanced Image Contrast – The Pixel Intensity Histogram appeared first on Analytics Vidhya.

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Understanding Image Contrast With OpenCV in Python

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Introduction Images are considered to be one of the most important sources of information due to the large quantities of data that can be derived and extracted from them. At this point in our OpenCV Tutorial, we have been enlightened and informed of several […]. The post Understanding Image Contrast With OpenCV in Python appeared first on Analytics Vidhya.

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Exploring Docker internals – Unified Filesystem

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Introduction Building, running, browsing, moving containers and images using the Docker CLI is as easy as shelling peas, but have you ever wondered how the internals that power the Docker interface actually work? This simple interface hides a lot of advanced technologies, and especially […].