Sat.Nov 14, 2020 - Fri.Nov 20, 2020

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Top 13 Python Libraries Every Data science Aspirant Must know! (and their Resources)

Analytics Vidhya

Overview Know which are the top 13 data science libraries in python Find suitable resources to learn about these python libraries for data science. The post Top 13 Python Libraries Every Data science Aspirant Must know! (and their Resources) appeared first on Analytics Vidhya.

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How to choose the right data stack for your business

Dataconomy

Data comes in many shapes and forms, but two of its core structures are stacks and queues. TechTarget’s definition states the following; “In programming, a stack is a data area or buffer used for storing requests that need to be handled.” And what’s inside that data stack? It’s not just. The post How to choose the right data stack for your business appeared first on Dataconomy.

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professionals

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Deciphering The Seldom Discussed Differences Between Data Mining and Data Science

Smart Data Collective

The Data Scientist profession today is often considered to be one of the most promising and lucrative. The Bureau of Labor Statistics estimates that the number of data scientists will increase from 32,700 to 37,700 between 2019 and 2029. Unfortunately, despite the growing interest in big data careers, many people don’t know how to pursue them properly.

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How to Prevent or Deal with a Data Science Role or Title Mismatch

Eugene Yan

Interview questions you should ask and how to evolve your job scope.

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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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Introduction to Clustering in Python for Beginners in Data Science

Analytics Vidhya

Introduction Extracting knowledge from the data has always been an important task, especially when we want to make a decision based on data. But. The post Introduction to Clustering in Python for Beginners in Data Science appeared first on Analytics Vidhya.

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Empathy, creativity, and accelerated growth: the surprising results of a technology MBA program

Dataconomy

So you want to be a data scientist or get a few steps up the ladder in AI. But where do you start? Digital technology is the life-force of the modern world, and data science, AI, machine learning, and other related skills are not only necessary to get ahead; they’re. The post Empathy, creativity, and accelerated growth: the surprising results of a technology MBA program appeared first on Dataconomy.

More Trending

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Using Unity to Help Solve Intelligence

DeepMind

We present our use of Unity, a widely recognised and comprehensive game engine, to create more diverse, complex, virtual simulations. We describe the concepts and components developed to simplify the authoring of these environments, intended for use predominantly in the field of reinforcement learning.

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A Must-Read Guide on How to Work with PySpark on Google Colab for Data Scientists!

Analytics Vidhya

Overview Understand the integration of PySpark in Google Colab We’ll also look at how to perform Data Exploration with PySpark in Google Colab. The post A Must-Read Guide on How to Work with PySpark on Google Colab for Data Scientists! appeared first on Analytics Vidhya.

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Cloud-Native Data Protection, Commvault Style

DataCentric podcast

It's KubeCon week, which means that we're all thinking about containers! Containers require a different way of thinking about persistent data, which deeply influences how data protection operates in a cloud-native world. It's really all about intelligent data management. And nobody understands intelligent data management quite like CommVault.

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4 Ways that Data Analytics Can Boost Performance by Improving Employee Handbooks

Smart Data Collective

Big data is helping companies in every industry boost productivity in a number of ways. One way that they can use big data to improve productivity is by creating a set of employee conduct and performance guidelines that will help them keep their employees on track. They can solidify their policies in an employee handbook after using big data to determine the best approach.

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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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To Activate Data Governance, Everybody Must be a Data Steward

Alation

The post To Activate Data Governance, Everybody Must be a Data Steward appeared first on Alation.

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A Hands-on Tutorial to Learn Attention Mechanism For Image Caption Generation in Python

Analytics Vidhya

Overview Understand the attention mechanism for image caption generation Implement attention mechanism to generate caption in python Introduction The attention mechanism is a. The post A Hands-on Tutorial to Learn Attention Mechanism For Image Caption Generation in Python appeared first on Analytics Vidhya.

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A Simple Guide to Dark Mode with Gatsby.js

Victor Zhou

I recently finally implemented Dark Mode for this blog (try that toggle in the top right), so it seemed appropriate to publish a short walkthrough for anyone else wanting to do the same thing. This post will use a Gatsby.js site as an example, but the concepts here apply to really any server-side rendered site (e.g. using Next.js , too). Let’s get started!

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The Fascinating Role of Data Visualization and Techniques for Assorted Variables

Smart Data Collective

Data is one of the most valued assets for the businesses today. And since every aspect of the organization creates data, which is relevant to the businesses to understand the whys and whens in the processes, companies are in a rush to gain the ability to capitalize on what data has to offer. This capturing of value from the data and to present it in a readable, understandable format for the non-experts to implement the insight are still a challenge.

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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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Gartner Names Alation a Leader in Metadata Management

Alation

The post Gartner Names Alation a Leader in Metadata Management appeared first on Alation.

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Want to Build a Career in Data Science? Learn from these 5 Data Science Videos!

Analytics Vidhya

Overview Here is a list of 5 Data Science Career Related Webinars Feel free to add other data science career webinars in the comments. The post Want to Build a Career in Data Science? Learn from these 5 Data Science Videos! appeared first on Analytics Vidhya.

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16 Best Customer Success Tools & Software for 2021

Twilio Segment

Our round-up of the best customer success tools to integrate into your tech stack.

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Absolutely Essential AI Cybersecurity Trends to Follow in 2021

Smart Data Collective

Artificial intelligence is at the forefront of the digital revolution. One of the most important ways that AI is transforming our lives is through cybersecurity. AI has created both new benefits and challenges with cybersecurity, since both ethical and black hat hackers are using it to their advantage. You need to know about the top cybersecurity trends in 2021 and how companies can safeguard their official data from hackers & other cyber goons.

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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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Gartner Names Alation a Leader in Metadata Management

Alation

The post Gartner Names Alation a Leader in Metadata Management appeared first on Alation.

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Exclusive Interview with 2x Kaggle Master Gilles Vandewiele!

Analytics Vidhya

Introduction “I think one of the nice things about the data science field is that it is so multi-disciplinary and that anyone who aspires. The post Exclusive Interview with 2x Kaggle Master Gilles Vandewiele! appeared first on Analytics Vidhya.

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Inbox Check

Data Elixir

Source

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Invaluable Tips for Selecting Internet Service in the Age of Big Data

Smart Data Collective

Big data is changing the dynamics of the consumer experience in countless ways. One variable that we don’t think as much about is the nature of our Internet service in the big data era. Back in July, we talked about ways that Internet service providers are using big data to provide a better customer experience. The general infrastructure of the Internet may not have changed much, but the services that customers depend on has changed a bit in a world governed by big data.

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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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Now available in Tableau 2020.4: Prep Builder in the browser, multiple map layers, Resource Monitoring Tool for Linux, and more

Tableau

Emily Chen. Product Marketing Specialist, Tableau. Spencer Czapiewski. November 17, 2020 - 12:48am. December 15, 2020. The newest release of Tableau is here! Tableau 2020.4 brings practical enhancements to make analytics in your organization more seamless and scalable. Upgrade to take advantage of these new innovations and check out our playlist of Tableau Conference-ish highlights to hear more about what we’ve got coming next year. .

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Data Engineering 101 – Getting Started with Apache Airflow

Analytics Vidhya

Overview Understanding the need for Apache Airflow and its components We will create our first DAG to get live cricket scores using Apache Airflow. The post Data Engineering 101 – Getting Started with Apache Airflow appeared first on Analytics Vidhya.

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Reverse engineering a forgotten 1970s Intel dual core beast: 8271, a new ISA

Hacker News

" As I recall, those two chips were fairly large. And fairly late -- to the marketplace. We had lots of issues with them. [.] Sometimes the elegant solution isn't the best solution. " -- Dave House, digressing to the 8271 during "Oral History Panel on the Development and Promotion of the Intel 8080 Microprocessor" [ link ], April 26th 2007, Computer History Museum, Mountain View, California.

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Teaching Big Data Analytics During Lockdown

Smart Data Collective

Life during lockdown has been difficult for everyone, but teachers and students have been significantly affected. Those teaching others about big data analytics, whether in schools or seminars, have been forced to rethink how they manage lessons. With everything going online, teaching big data analytics during lockdown means making the most of digital learning solutions.

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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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Now available in Tableau 2020.4: Prep Builder in the browser, multiple map layers, Resource Monitoring Tool for Linux, and more

Tableau

Emily Chen. Product Marketing Specialist, Tableau. Spencer Czapiewski. November 17, 2020 - 12:48am. December 15, 2020. The newest release of Tableau is here! Tableau 2020.4 brings practical enhancements to make analytics in your organization more seamless and scalable. Upgrade to take advantage of these new innovations and check out our playlist of Tableau Conference-ish highlights to hear more about what we’ve got coming next year. .

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Kaggle Grandmaster Series – Exclusive Interview with Kaggle Rank #8 and Competitions Grandmaster Ahmet Erdem

Analytics Vidhya

“Ignore the gatekeepers who expect you to have a Ph.D. A relevant study can be more useful than a Ph.D.” – Ahmet Erdem Golden. The post Kaggle Grandmaster Series – Exclusive Interview with Kaggle Rank #8 and Competitions Grandmaster Ahmet Erdem appeared first on Analytics Vidhya.

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A Beginner’s Guide to Spark Streaming For Data Engineers

Analytics Vidhya

Overview Understand Spark Streaming and its functioning. Learn about Windows in Spark Streaming with an example. Introduction According to IBM, 60% of all sensory. The post A Beginner’s Guide to Spark Streaming For Data Engineers appeared first on Analytics Vidhya.

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Implementing a Cohesive Approach to Agile Portfolio Management in 2020

Smart Data Collective

Over the last 15-20 years, Agile has either fully or partly been incorporated into most companies. Why? The reason is that Agile project management practices really work and are proven effective. Research published by Techliance shows that 98% of companies have used Agile and its effectiveness is around 30% higher than Waterfall. Agile as a mindset and philosophy gets deep into every team and can be integrated into any environment.

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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.