Sat.Oct 24, 2020 - Fri.Oct 30, 2020

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Predicting Stock Prices using Reinforcement Learning (with Python Code!)

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction The share price of HDFC Bank is going up. It’s on. The post Predicting Stock Prices using Reinforcement Learning (with Python Code!) appeared first on Analytics Vidhya.

Python 400
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Europe’s largest data science community launches the digital network platform for this year’s conference

Dataconomy

The DN Unlimited Conference will take place online for the first time this year More than 100 speakers from the fields of AI, machine learning, data science, and technology for social impact, including from The New York Times, IBM, Bayer, and Alibaba Cloud Fully remote networking opportunities via a virtual. The post Europe’s largest data science community launches the digital network platform for this year’s conference appeared first on Dataconomy.

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4 Incredible Benefits Of IoT-Based Indoor Mapping

Smart Data Collective

The IoT is becoming increasingly commercialized. IDC estimates that there will be 41.6 billion IoT devices online by 2025. As the IoT continues to expand, companies across the world are looking for new ways to embrace its potential. One of the most overlooked benefits of the IoT is with indoor mapping. Companies can find a number of useful IoT approaches to achieve this goal.

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Nhung Ho – Data Science in a Cloud World

Data Science 101

This is a great talk for data scientists and managers of technology teams. If you do data science in 2020 or beyond, there is a good chance the cloud will be involved. Topics covered: Lessons learned when migrating data science (or technology in general) to the cloud AI services available via different cloud providers Workflows in the cloud and more.

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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have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth.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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A/B Testing for Data Science using Python – A Must-Read Guide for Data Scientists

Analytics Vidhya

Overview A/B testing is a popular way to test your products and is gaining steam in the data science field Here, we’ll understand what. The post A/B Testing for Data Science using Python – A Must-Read Guide for Data Scientists appeared first on Analytics Vidhya.

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Data Discovery Platforms and Their Open Source Solutions

Eugene Yan

What questions do they answer? How do they compare? What open-source solutions are available?

100
100

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How mature is your customer data strategy?

Twilio Segment

Segment has developed a Customer Data Maturity Model that will help you understand where you are on your journey and provide specific recommendations on how to take your organization to the next level.

52
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Sweet, spicy, North or South? : Indian Cuisine Analysis

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Food brings people together, on many different levels! From ‘Chole Bhature’ The post Sweet, spicy, North or South? : Indian Cuisine Analysis appeared first on Analytics Vidhya.

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Inside the latest IBM Storage Announcements - Live from IBM Tech U

DataCentric podcast

It's all about cloud-native and containers as IBM announces a slew of new features and offerings at its annual IBM Tech U event. The announcements included: Spectrum Protect Plus enhancements for containers in production. Spectrum Scale container-native storage access for Red Hat OpenShift. Spectrum Discover now has deeper integration with Red Hat Openshift Container Storage & IBMB Cloud Digest Storage File Access Vmware vSphere 7 support for end-to-end NVMe Increased capacity for SCM in

52
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What Does Data Archiving Bring To Healthcare Intelligence?

Smart Data Collective

Healthcare organizations house enormous amounts of data – amounts that have been multiplied many times over since the widespread adoption of electronic health records (EHR) systems over the last decade. What few of these groups know how to reckon with, though, is how to best manage data that’s no longer in use – particularly data from systems the organization has since retired.

Big Data 130
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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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Nhung Ho – Data Science in a Cloud World

Data Science 101

This is a great talk for data scientists and managers of technology teams. If you do data science in 2020 or beyond, there is a good chance the cloud will be involved. Topics covered: Lessons learned when migrating data science (or technology in general) to the cloud AI services available via different cloud providers Workflows in the cloud and more.

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Beginners Guide to Web Scraping Using Selenium in Python!

Analytics Vidhya

Introduction By 2025, the world’s data will grow to 175 Zettabytes – IDC The overall amount of data is growing and so is the. The post Beginners Guide to Web Scraping Using Selenium in Python! appeared first on Analytics Vidhya.

Python 370
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Bringing Cloud-Native to IoT, with Arm's Mohamed Awad

DataCentric podcast

Cloud-native techniques provide a natural way for deliver functionality to the edge and IoT, delivering IT agility where it's needed the most. Arm's Project Cassini brings the IoT industry together with open, collaborative, standards-based initiative to deliver a cloud-native software experience across a secure Arm edge ecosystem. Arm's Vice President of Marketing for IoT, Mohamed Awad, joins hosts Matt Kimball and Steve McDowell to talk about the power of standardized software at th

40
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Does Your Organization Process Data? 4 Critical Cybersecurity Measures You Need

Smart Data Collective

With a mountain of existing data privacy regulations and more on the way, it’s more critical than ever to implement strict cybersecurity strategies. If you process data of any kind – even if you only collect email addresses – you need strong cybersecurity measures. Protecting your data is the only way to avoid serious consequences for your customers and your business.

Database 100
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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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How we saved $100k a month with Kafka networking optimization

Twilio Segment

Network transfer costs are one of the biggest costs of running on the cloud. Here's how we optimized ours to save $100k month.

40
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A Definitive Guide for predicting Customer Lifetime Value (CLV)

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction The world of business has completely changed and revolves around its. The post A Definitive Guide for predicting Customer Lifetime Value (CLV) appeared first on Analytics Vidhya.

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A comprehensive guide to Feature Selection using Wrapper methods in Python

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction In today’s era of Big data and IoT, we are easily. The post A comprehensive guide to Feature Selection using Wrapper methods in Python appeared first on Analytics Vidhya.

Python 381
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What is the Convolutional Neural Network Architecture?

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Working on a Project on image recognition or Object Detection but. The post What is the Convolutional Neural Network Architecture? 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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Time Series Forecasting using Facebook Prophet library in Python

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Any data associated with the time that is dependent on time-related. The post Time Series Forecasting using Facebook Prophet library in Python appeared first on Analytics Vidhya.

Python 365
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Bet Wisely: Predicting the Scoreline of a Football Match using Poisson Distribution

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. “The biggest religion in the world is not even a religion.” –. The post Bet Wisely: Predicting the Scoreline of a Football Match using Poisson Distribution appeared first on Analytics Vidhya.

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Unveiling the Black Box model using Explainable AI(Lime, Shap) Industry use case.

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction This Article Covers the use of an Explainable AI framework(Lime, Shap). The post Unveiling the Black Box model using Explainable AI(Lime, Shap) Industry use case. appeared first on Analytics Vidhya.

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A Comprehensive List of the Different Python Data Types

Analytics Vidhya

Introduction Python is one of the most preferred programming languages these days. It allows developers to focus all their efforts on implementation instead of. The post A Comprehensive List of the Different Python Data Types appeared first on Analytics Vidhya.

Python 322
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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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Inheritance in Object Oriented Programming for Python – An In-Depth Guide for Everyone

Analytics Vidhya

Overview Learn about Inheritance in Object Oriented Programming and various forms of Inheritance Understand Method Overriding and super() function in the world of Object. The post Inheritance in Object Oriented Programming for Python – An In-Depth Guide for Everyone appeared first on Analytics Vidhya.

Python 306
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Do you need a Certification to become a Data Scientist? 5 Things you Should Consider

Analytics Vidhya

Overview Data science certifications are ubiquitous – should you get one? If yes, which certification should you choose? Here, we list down the different. The post Do you need a Certification to become a Data Scientist? 5 Things you Should Consider appeared first on Analytics Vidhya.

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Virtual Reality for the Web: A-Frame(Creating 3D models from Images)

Analytics Vidhya

Introduction Virtual reality refers to a simulation generated by a computer which allows user interaction with the use of special headsets. In simple words, The post Virtual Reality for the Web: A-Frame(Creating 3D models from Images) appeared first on Analytics Vidhya.

Analytics 290
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How Can You Optimize your Spark Jobs and Attain Efficiency – Tips and Tricks!

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction “Data is the new oil” ~ that’s no secret and is. The post How Can You Optimize your Spark Jobs and Attain Efficiency – Tips and Tricks! 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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Web Scraping for Beginners – Web Scraping Using Node JS!

Analytics Vidhya

“Looking for a needle in a haystack” These lines portray the importance of quality data in the real world. What about the tons of. The post Web Scraping for Beginners – Web Scraping Using Node JS! appeared first on Analytics Vidhya.

Analytics 271
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5 Popular Data Science Languages – Which One Should you Choose for your Career?

Analytics Vidhya

Overview Data Science is one of the fastest-growing industries with an enormous number of tools to satiate your needs Let’s talk about the different. The post 5 Popular Data Science Languages – Which One Should you Choose for your Career? appeared first on Analytics Vidhya.

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Data Engineering 101 – Data Sources in Apache Spark Every Data Engineer Must Know!

Analytics Vidhya

Overview Get to know different types of Apache Spark data sources Understand the options available on various spark data sources Introduction The ability. The post Data Engineering 101 – Data Sources in Apache Spark Every Data Engineer Must Know! appeared first on Analytics Vidhya.

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NLP Applications in Support Call Centers

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction This article is in continuation of my previous article on using. The post NLP Applications in Support Call Centers appeared first on Analytics Vidhya.

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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.