Sat.May 29, 2021 - Fri.Jun 04, 2021

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4 Use Cases All Data Scientist Should Learn

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Illustrations of how to address traditional machine learning algorithm queries. Index. The post 4 Use Cases All Data Scientist Should Learn appeared first on Analytics Vidhya.

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Towards Data Science - Author Spotlight with Eugene Yan

Eugene Yan

My favourite project, how I write weekly and how you can start, and content I would like to see more of.

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An update on our racial justice efforts

DeepMind

In June 2020, after George Floyd was killed in Minneapolis (USA) and the solidarity that followed as millions spoke out at Black Lives Matter protests around the world, I – like many others – reflected on the situation and how our organisation could contribute. I then shared some thoughts around DeepMind's intention to help combat racism and advance racial equity.

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Building Transformer-Based Natural Language Processing Applications (Session 1)

NVIDIA Developer

Friday, June 11, 2021 - 09:00 Indian/Maldives Speakers Megh Makwana Data Scientist at NVIDIA NVIDIA Megh is working with enterprise, government, consumer internet companies in applying the science of GPU accelerated computing for their large scale data science workloads using various GPU accelerated software stack.His major contributions are helped various organization apply state of the art DNN architectures in the space of Computer Vision & Natural Language Processing.

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How To Get Promoted In Product Management

Speaker: John Mansour

If you're looking to advance your career in product management, there are more options than just climbing the management ladder. Join our upcoming webinar to learn about highly rewarding career paths that don't involve management responsibilities. We'll cover both career tracks and provide tips on how to position yourself for success in the one that's right for you.

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Automated Machine Learning for Supervised Learning (Part 1)

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon This. The post Automated Machine Learning for Supervised Learning (Part 1) appeared first on Analytics Vidhya.

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Why tell stories with data visualisations?

Applied Data Science

“All happy families are alike; each unhappy family is unhappy in its own way.” From the very first sentence of Anna Karenina, Tolstoy gives us a universal truth about success. You can fail in many ways, but there’s only one way in which you can succeed. Successes share a similar set of qualities, as it is only by satisfying these qualities that our works can be perceived as successful by the world.

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Building Transformer-Based Natural Language Processing Applications

NVIDIA Developer

Applications for natural language processing (NLP) have exploded in the past decade. With the proliferation of AI assistants and organizations infusing their businesses with more interactive human-machine experiences, understanding how NLP techniques can be used to manipulate, analyze, and generate text-based data is essential. Modern techniques can capture the nuance, context, and sophistication of language, just as humans do.

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Develop your first Deep Learning Model in Python with Keras

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction An artificial Neural Network is a sub-field of Artificial Intelligence. The post Develop your first Deep Learning Model in Python with Keras appeared first on Analytics Vidhya.

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Will MLOps change the future of the healthcare system?

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Overview: From the advent of modern Science & Technology, Researchers are. The post Will MLOps change the future of the healthcare system? appeared first on Analytics Vidhya.

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Navigating the Future: Generative AI, Application Analytics, and Data

Generative AI is upending the way product developers & end-users alike are interacting with data. Despite the potential of AI, many are left with questions about the future of product development: How will AI impact my business and contribute to its success? What can product managers and developers expect in the future with the widespread adoption of AI?

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A complete guide to doing Geospatial Analytics

Analytics Vidhya

ArticleVideo Book Introduction Today our phones resemble a genie’s lamp, a powerful wish-granting device at your fingertips! It can bring us anything and take. The post A complete guide to doing Geospatial Analytics appeared first on Analytics Vidhya.

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Integration of Python with Hadoop and Spark

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction Big data is the collection of data that is vast. The post Integration of Python with Hadoop and Spark appeared first on Analytics Vidhya.

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How to Learn Mathematics For Machine Learning? What Concepts do You Need to Master in Data Science?

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Are you an aspiring data scientist who is fascinated by how. The post How to Learn Mathematics For Machine Learning? What Concepts do You Need to Master in Data Science? appeared first on Analytics Vidhya.

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Acrobot with Deep Q-Learning

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Overview Introduction to a classic Reinforcement Learning problem, Acrobot RL concepts. The post Acrobot with Deep Q-Learning appeared first on Analytics Vidhya.

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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.

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Emojize Your Data Science Projects

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction Our world is becoming more and more digital, especially after. The post Emojize Your Data Science Projects appeared first on Analytics Vidhya.

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Prediction of Health Expense

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Problem Statement Everyone’s life revolves around their health. Good health is. The post Prediction of Health Expense appeared first on Analytics Vidhya.

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Analysing the Cryptocurrency of May 2021 | Python for Finance basics

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction Cryptocurrency serves as a digital asset and is a medium. The post Analysing the Cryptocurrency of May 2021 | Python for Finance basics appeared first on Analytics Vidhya.

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MNIST Dataset Prediction Using Keras!

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction: This blog deals with MNIST Data. Actually, MNIST is ‘Modified. The post MNIST Dataset Prediction Using Keras! appeared first on Analytics Vidhya.

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How to Improve Email Deliverability and Optimize Each Send

Learn how to optimize email deliverability and drive greater email ROI. What lands your email in the customer’s inbox? Understanding those factors, otherwise known as email deliverability, is critical to getting the most return on your campaign investments. But the “rules” around which factors land you in the spam folder aren’t always easy to keep up with.

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Classification of Crops using Machine Learning!

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction Today, we have Agriculture data set with us for better. The post Classification of Crops using Machine Learning! appeared first on Analytics Vidhya.

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Measuring Text Similarity Using BERT

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon BERT is too kind — so this article will be touching. The post Measuring Text Similarity Using BERT appeared first on Analytics Vidhya.

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Normal Distribution : An Ultimate Guide

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction The normal distribution is an important class of Statistical Distribution that. The post Normal Distribution : An Ultimate Guide appeared first on Analytics Vidhya.

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HIVE – A DATA WAREHOUSE IN HADOOP FRAMEWORK

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Different components in the Hadoop Framework Introduction Hadoop is. The post HIVE – A DATA WAREHOUSE IN HADOOP FRAMEWORK appeared first on Analytics Vidhya.

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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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Artificial Neural Networks- 25 Questions to Test Your Skills on ANN

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction Artificial Neural Networks are computing systems that are inspired by. The post Artificial Neural Networks- 25 Questions to Test Your Skills on ANN appeared first on Analytics Vidhya.

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How does Backward Propagation Work in Neural Networks?

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction. The post How does Backward Propagation Work in Neural Networks? appeared first on Analytics Vidhya.

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Hypothesis Testing- Parametric and Non-Parametric Tests in Statistics

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction Hypothesis testing is one of the most important concepts in. The post Hypothesis Testing- Parametric and Non-Parametric Tests in Statistics appeared first on Analytics Vidhya.

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AdaBoost : A Brief Introduction to Ensemble learning

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction Let’s start the discussion with some questions. What is ensemble. The post AdaBoost : A Brief Introduction to Ensemble learning appeared first on Analytics Vidhya.

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How Embedded Analytics Gets You to Market Faster with a SAAS Offering

Start-ups & SMBs launching products quickly must bundle dashboards, reports, & self-service analytics into apps. Customers expect rapid value from your product (time-to-value), data security, and access to advanced capabilities. Traditional Business Intelligence (BI) tools can provide valuable data analysis capabilities, but they have a barrier to entry that can stop small and midsize businesses from capitalizing on them.

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Understand The DBSCAN Clustering Algorithm!

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction In this article, I’m gonna explain about DBSCAN algorithm. It. The post Understand The DBSCAN Clustering Algorithm! appeared first on Analytics Vidhya.

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Pandas.Styler : Styling the Pandas DataFrame

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction A Pandas DataFrame is a 2-dimensional data structure present in. The post Pandas.Styler : Styling the Pandas DataFrame appeared first on Analytics Vidhya.

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How Open Source Beats Proprietary Software Helps for MLOps?

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction It’s necessary to keep your ML pipeline for compliance. The post How Open Source Beats Proprietary Software Helps for MLOps? appeared first on Analytics Vidhya.