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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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/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
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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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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 373
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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 126
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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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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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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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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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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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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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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 354
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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 365
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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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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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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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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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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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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 303
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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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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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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 296
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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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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 283
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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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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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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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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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Hadoop Distributed File System (HDFS) Architecture – A Guide to HDFS for Every Data Engineer

Analytics Vidhya

Overview Get familiar with Hadoop Distributed File System (HDFS) Understand the Components of HDFS Introduction In contemporary times, it is commonplace to deal. The post Hadoop Distributed File System (HDFS) Architecture – A Guide to HDFS for Every Data Engineer appeared first on Analytics Vidhya.

Hadoop 253
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From Developer Experience to Product Experience: How a Shared Focus Fuels Product Success

Speaker: Anne Steiner and David Laribee

As a concept, Developer Experience (DX) has gained significant attention in the tech industry. It emphasizes engineers’ efficiency and satisfaction during the product development process. As product managers, we need to understand how a good DX can contribute not only to the well-being of our development teams but also to the broader objectives of product success and customer satisfaction.