Sat.Nov 21, 2020 - Fri.Nov 27, 2020

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How To Have a Career in Data Science (Business Analytics)?

Analytics Vidhya

Introduction In the last article, I shared a framework to help you answer the question, “Should I become a data scientist (or business analyst)?“ The post How To Have a Career in Data Science (Business Analytics)? appeared first on Analytics Vidhya.

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Will COVID-19 Show the Adaptability of Machine Learning in Loan Underwriting?

Smart Data Collective

Machine learning is transforming the financial sector more than anybody could have ever predicted. This technology might be more important than ever during the pandemic, as financial institutions discover that many traditional protocols aren’t nearly as effective. One of the most significant changes brought by advances in machine learning is with the loan underwriting process.

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Mailbag: What's the Architecture for your Blog?

Eugene Yan

How did you set up your site and what's an easy way to replicate it?

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LGBTQ History Month: A Look Back and the Importance of Community at Alation

Alation

The post LGBTQ History Month: A Look Back and the Importance of Community at Alation appeared first on Alation.

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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have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth.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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What is Big Data? A Quick Introduction for Analytics and Data Engineering Beginners

Analytics Vidhya

Overview: Learn what is Big Data and how it is relevant in today’s world Get to know the characteristics of Big Data Introduction. The post What is Big Data? A Quick Introduction for Analytics and Data Engineering Beginners appeared first on Analytics Vidhya.

Big Data 388
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What is the Future of Business Intelligence in the Coming Year?

Smart Data Collective

As the use of intelligence technologies is staggering, knowing the latest trends in business intelligence is a must. The market for business intelligence services is expected to reach $33.5 billion by 2025. Here we’ve prepared a detailed outline about the future of BI, including main trends, challenges, specifics, BI-as-a-Service, and most promising BI services of today.

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Catching up on the IoT Edge

DataCentric podcast

You can't escape the Edge, but what does it really mean for IT? This is a world where there are limited standards and no "one true way" to deliver solutions, so IT practitioners look to middleware and common tooling to help mangage the complexity. What's working? What isn't? And is there a turf war brewing between IT and OT teams within the enterprise?

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Tutorial — How to visualize Feature Maps directly from CNN layers

Analytics Vidhya

Introduction Let’s put on the eyes of Neural Networks and see what the Convolution Neural Networks see. Photo by David Travis on Unsplash Pre-requisites:-. The post Tutorial — How to visualize Feature Maps directly from CNN layers appeared first on Analytics Vidhya.

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Global SMEs Adopt New Business Intelligence Initiatives During COVID-19 Crisis

Smart Data Collective

In response to the global Coronavirus pandemic, businesses are adopting a series of new, innovative digital technologies. Business intelligence is emerging as a new point of differentiation to help them stand out amongst their competitors. As a business owner, you likely know the importance of adopting new solutions to remain competitive in the “new normal.

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How to choose the best live chat software in 2021

Twilio Segment

Live chat gives your customers answers in real-time as they’re browsing. Not all options are created equal, though.

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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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Catching up on High Performance Computing, with Penguin Computing

DataCentric podcast

As SuperComputing 2020 wraps up, it's a great time to catch up on everything happening in the HPC world. Nobody knows HPC better than Penguin Computing. In this episode of the DataCentric podcast, hosts Matt and Steve are joined by Penguin Computing's Chief Strategy Officer Matt Jacobs, and Penguin's Senior Vice President, Strategic Solutions Group, Kevin Tubbs.

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Understanding NaĂŻve Bayes and Support Vector Machine and their implementation in Python

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction In this digital world, spam is the most troublesome challenge that. The post Understanding NaĂŻve Bayes and Support Vector Machine and their implementation in Python appeared first on Analytics Vidhya.

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6 Data Insights to Optimize Scheduling for Your Marketing Strategy

Smart Data Collective

Big data is central to the success of modern marketing strategies. Today, more than ever, companies need to find more innovative ways to leverage data analytics to create a competitive edge in an everchanging landscape. One of the most important, yet overlooked, benefits of data is with scheduling. Marketing teams can use data analytics to optimize their scheduling to squeeze a higher ROI from their strategies.

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How Udacity created a data-driven culture for the long term—in 4 steps

Twilio Segment

4 critical steps Udacity took to create a data-driven culture for the long term

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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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The Key Concept of Scrum in Machine Learning

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Data is everywhere these days. Human beings have been sensing, processing, The post The Key Concept of Scrum in Machine Learning appeared first on Analytics Vidhya.

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Extending the ImageDataGenerator in Keras and TensorFlow

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Understanding the Problem Many times while working on computer vision problems, we. The post Extending the ImageDataGenerator in Keras and TensorFlow appeared first on Analytics Vidhya.

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Words that matter! A Simple Guide to Keyword Extraction in Python

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Unstructured data contains a plethora of information. It is like energy. The post Words that matter! A Simple Guide to Keyword Extraction in Python appeared first on Analytics Vidhya.

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MLOps – the Why and the What

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction This article outlines the motivation behind MLOps, its relation to DevOps, The post MLOps – the Why and the What appeared first on Analytics Vidhya.

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

Speaker: Jay Allardyce, Deepak Vittal, and Terrence Sheflin

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.

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Data Exploration with the dtale Library in Python

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Data Analysis is the most essential part of any data science. The post Data Exploration with the dtale Library in Python appeared first on Analytics Vidhya.

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AutoML: Making AI more Accessible to Businesses

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Often we have heard the term Automated Machine Learning or AutoML. The post AutoML: Making AI more Accessible to Businesses appeared first on Analytics Vidhya.

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Kaggle Grandmaster Series – Notebooks Grandmaster Mobassir Hossen’s Journey from Software Engineer to Data Science

Analytics Vidhya

“Being dynamic is important, especially in the Data Science field.” – Mobassir Hossen To achieve your goal of transitioning into data science or becoming. The post Kaggle Grandmaster Series – Notebooks Grandmaster Mobassir Hossen’s Journey from Software Engineer to Data Science appeared first on Analytics Vidhya.

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How to handle common Selenium Challenges Using Python?

Analytics Vidhya

Photo by Olav Ahrens Røtne on Unsplash I have recently had the idea to use Selenium with Python to automatize some repetitive tasks on. The post How to handle common Selenium Challenges Using Python? appeared first on Analytics Vidhya.

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The Cloud Development Environment Adoption Report

Cloud Development Environments (CDEs) are changing how software teams work by moving development to the cloud. Our Cloud Development Environment Adoption Report gathers insights from 223 developers and business leaders, uncovering key trends in CDE adoption. With 66% of large organizations already using CDEs, these platforms are quickly becoming essential to modern development practices.

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A Quick Guide to Text Cleaning Using the nltk Library

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction NLTK is a string processing library that takes strings as input. The post A Quick Guide to Text Cleaning Using the nltk Library appeared first on Analytics Vidhya.

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Should I become a data scientist (or a business analyst)?

Analytics Vidhya

Introduction One of the common queries I come across repeatedly on several forums is “Should I become a data scientist (or an analyst)?” The. The post Should I become a data scientist (or a business analyst)? appeared first on Analytics Vidhya.

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A Tour of Evaluation Metrics for Machine Learning

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. A Tour of Evaluation Metrics for Machine Learning After we train our. The post A Tour of Evaluation Metrics for Machine Learning appeared first on Analytics Vidhya.

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FastAPI: The Right Replacement For Flask?

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction After you are done with model building and proper hyperparameter tunning, The post FastAPI: The Right Replacement For Flask? appeared first on Analytics Vidhya.

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How to Drive Cost Savings, Efficiency Gains, and Sustainability Wins with MES

Speaker: Nikhil Joshi, Founder & President of Snic Solutions

Is your manufacturing operation reaching its efficiency potential? A Manufacturing Execution System (MES) could be the game-changer, helping you reduce waste, cut costs, and lower your carbon footprint. Join Nikhil Joshi, Founder & President of Snic Solutions, in this value-packed webinar as he breaks down how MES can drive operational excellence and sustainability.

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8 Must Know Spark Optimization Tips for Data Engineering Beginners

Analytics Vidhya

Overview Apache spark is amongst the favorite tools for any big data engineer Learn Spark Optimization with these 8 tips By no means is. The post 8 Must Know Spark Optimization Tips for Data Engineering Beginners appeared first on Analytics Vidhya.

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REINFORCE Algorithm: Taking baby steps in reinforcement learning

Analytics Vidhya

Introduction Lets’ solve OpenAI’s Cartpole, Lunar Lander, and Pong environments with REINFORCE algorithm. Reinforcement learning is arguably the coolest branch of artificial intelligence. It. The post REINFORCE Algorithm: Taking baby steps in reinforcement learning appeared first on Analytics Vidhya.

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Predicting Employee Attrition using Orange(.ows) Visual Programming Software

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction If you want to know – How to use MACHINE LEARNING. The post Predicting Employee Attrition using Orange(.ows) Visual Programming Software appeared first on Analytics Vidhya.

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Classification Model Simulator Application Using Dash in Python

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Build an app and bring data to life !!!! Dash as. The post Classification Model Simulator Application Using Dash in Python appeared first on Analytics Vidhya.

Python 304
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Improving the Accuracy of Generative AI Systems: A Structured Approach

Speaker: Anindo Banerjea, CTO at Civio & Tony Karrer, CTO at Aggregage

When developing a Gen AI application, one of the most significant challenges is improving accuracy. This can be especially difficult when working with a large data corpus, and as the complexity of the task increases. The number of use cases/corner cases that the system is expected to handle essentially explodes. 💥 Anindo Banerjea is here to showcase his significant experience building AI/ML SaaS applications as he walks us through the current problems his company, Civio, is solving.