Sat.Nov 28, 2020 - Fri.Dec 04, 2020

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Nervous about your first data science project! Here are 6 easy steps to get started!

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction We all have been hearing about the buzz word – “Data. The post Nervous about your first data science project! Here are 6 easy steps to get started! appeared first on Analytics Vidhya.

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Twitter text analytics reveals COVID-19 vaccine hesitancy tweets have crazy traction

Dataconomy

Despite the good news emanating from COVID-19 vaccine trials, governments should understand hesitancy concerns to ensure a successful roll-out plan. The analysis identified 243,000 tweets from the UK and US that referred to a possible COVID-19 vaccine Hesitancy tweets were not just a more significant portion of the vaccine conversation, The post Twitter text analytics reveals COVID-19 vaccine hesitancy tweets have crazy traction appeared first on Dataconomy.

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Experiments with the ICML 2020 Peer-Review Process

Machine Learning (Theory)

This post is cross-listed on the CMU ML blog. The International Conference on Machine Learning (ICML) is a flagship machine learning conference that in 2020 received 4,990 submissions and managed a pool of 3,931 reviewers and area chairs. Given that the stakes in the review process are high — the careers of researchers are often significantly affected by the publications in top venues — we decided to scrutinize several components of the peer-review process in a series of experiments.

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Alexey Grigorev on His Career, Data Science, and Writing

Eugene Yan

How he switched from engineering to data science, what "senior" means, and how writing helps.

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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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Use of Machine Learning in Dairy farming

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction: These days if we read anything, we can see something is. The post Use of Machine Learning in Dairy farming appeared first on Analytics Vidhya.

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7 Tremendous Changes Artificial Intelligence Brings to the Education Sector

Smart Data Collective

Artificial intelligence is shaping our world in unbelievable ways. As previously stated, it has both benefits and drawbacks. What do you think would happen if robots took over the world? Would you never have to go to school again? Or would you never have to take the bus again? Oh, wait! Will the bus now be driven by a robot? You need to think about the different ways AI is changing our world.

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Tableau Prep Builder now available in the browser

Tableau

Rapinder Jawanda. Spencer Czapiewski. December 2, 2020 - 8:46pm. December 15, 2020. With the arrival of Tableau 2020.4 , we've made exciting advancements for self-service data prep. Now, you can create new Tableau Prep flows as well as edit existing flows directly in the browser. Since all your analytical work can be done conveniently in one spot on the server, web authoring helps analysts eliminates the context switching between creating in the desktop and moving the flow to the server.

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How can you Master Data Science without a Degree in 2020?

Analytics Vidhya

Introduction Becoming a data scientist has become like the “American Dream” – everybody wants to have it! However, for all the beginners out there. The post How can you Master Data Science without a Degree in 2020? appeared first on Analytics Vidhya.

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In The Age Of Big Data, Is Microsoft Excel Still Relevant?

Smart Data Collective

In recent years, leading professional fields like marketing have leaned heavily on phrases like, “content is king,” but if you’ve been paying attention – not just to marketing, but to many other growing fields, including eCommerce, healthcare, and finance – the real reigning force is not content, but data. Big data, which is itself a consequence of other technology, gives us the tools to interpret our actions, to strategize and analyze in new and more objective ways.

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AlphaFold: a solution to a 50-year-old grand challenge in biology

DeepMind

Proteins are essential to life, supporting practically all its functions. They are large complex molecules, made up of chains of amino acids, and what a protein does largely depends on its unique 3D structure. Figuring out what shapes proteins fold into is known as the “protein-folding problem”, and has stood as a grand challenge in biology for the past 50 years.

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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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AI is Innovating the Future of Cybersecurity

The Data Administration Newsletter

AI has grown increasingly sophisticated and has been used in multiple applications, including providing superior cybersecurity risk analysis and detection. Because it can extrapolate conclusions based on large amounts of data, it is often much more effective as an online security tool. However, using AI poses its own potential security risks. Here is what you […].

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A Detailed Introduction to K-means Clustering in Python!

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Cluster analysis or clustering is an unsupervised machine learning algorithm that. The post A Detailed Introduction to K-means Clustering in Python! appeared first on Analytics Vidhya.

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Familiarize Yourself with the Legality of Data Accumulation Under New Data Governance Rules

Smart Data Collective

Data is absolutely vital to your occupation as a business owner. After all, this information lets you understand your market better, enabling you to provide better customer experiences. However, customers aren’t as willing to share personal information with companies. In fact, a study found that 79% of Americans are concerned about how their data is being used by companies, which is not good for building trust.

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Using JAX to accelerate our research

DeepMind

DeepMind engineers accelerate our research by building tools, scaling up algorithms, and creating challenging virtual and physical worlds for training and testing artificial intelligence (AI) systems. As part of this work, we constantly evaluate new machine learning libraries and frameworks.

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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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The case for data communities: Why it takes a village to sustain a data-driven business

Tableau

Forbes BrandVoice. Kristin Adderson. December 4, 2020 - 7:01pm. December 5, 2020. Editor's note: This article originally appeared in Forbes. Data is inseparable from the future of work as more organizations embrace data to make decisions, track progress against goals and innovate their products and offerings. But to generate data insights that are truly valuable, people need to become fluent in data—to understand the data they see and participate in conversations where data is the lingua franca.

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Lets Open the Black Box of Random Forests

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Random Forests are always referred to as black-box models. Let’s try. The post Lets Open the Black Box of Random Forests appeared first on Analytics Vidhya.

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Data Automation Has Become an Invaluable Part of Boosting Your Business

Smart Data Collective

Automation is a growing market throughout the world. According to many experts, it is expected to be worth $83 billion by the end of next year. The appeal of automation becomes a lot more evident when you understand its capabilities. Data automation, in particular, can offer some tremendous benefits. Understanding the Phenomenal Benefits of Data Automation.

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From A for Analytics to Z for Zika Virus

Dataversity

Click to learn more about author Jeany Prinz. One of the great advantages of Data Science Analytics Platforms is their ability to analyze diverse types of data. Today, we want to move to the outer edge of the alphabet and look into data from the Zika virus. Our analysis is inspired by the Microreact project “Zika […]. The post From A for Analytics to Z for Zika Virus appeared first on DATAVERSITY.

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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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The pace of innovation never rests: How lessons from our past still influence us today

Tableau

Andrew Beers. Chief Technology Officer, Tableau. Kristin Adderson. December 3, 2020 - 3:27pm. December 3, 2020. Everyone is talking about the need for innovation these days, but there are a lot of questions about the best ways to move forward. Even before the Covid-19 crisis hit, McKinsey found that 92 percent of company leaders thought their business models wouldn’t stay viable at the then-current rates of digitization, and the pandemic has only accelerated this need for rapid innovation in the

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Improve your Predictive Model’s Score using a Stacking Regressor

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction The general principle of ensembling is to combine the predictions of various. The post Improve your Predictive Model’s Score using a Stacking Regressor appeared first on Analytics Vidhya.

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A Corporate Glossary Case Study

The Data Administration Newsletter

There have been several events that have transpired in my current place of business which have created the need for making a common corporate glossary explicit. Perhaps the most notable of these was a migration to a new commercial off-the-shelf (COTS) software system, which essentially manages the heart of the business. As you would expect, […].

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Building a Racially Just Workplace

Twilio Segment

Diversity, Equity & Inclusion work is challenging, rewarding, never-ending and absolutely essential. This year surfaced a lot of important conversations that helped define this work, especially on racial equity. Here’s an inside look on our DEI journey.

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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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The case for data communities: Why it takes a village to sustain a data-driven business

Tableau

Forbes BrandVoice. Kristin Adderson. December 4, 2020 - 7:01pm. December 5, 2020. Editor's note: This article originally appeared in Forbes. Data is inseparable from the future of work as more organizations embrace data to make decisions, track progress against goals and innovate their products and offerings. But to generate data insights that are truly valuable, people need to become fluent in data—to understand the data they see and participate in conversations where data is the lingua franca.

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Beginners Guide to Manipulating SQL from Python

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction I just completed Analytics Vidhya’s course on SQL for Data Science. The post Beginners Guide to Manipulating SQL from Python appeared first on Analytics Vidhya.

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Quick tutorial to deploy your ML models using FastAPI and Docker

Shreyansh Singh

The goal of this blog post is to make an API to get predictions from a pre-trained ML model and how we can do that in a fast manner using FastAPI and also be able to ship it using Docker. This method does not scale well as it does not support caching and cannot handle much load. However, this can be a good instructional post on how you can deploy those models and use them for small low-scale projects, say a hackathon.

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Alation + AWS: Search, Discover, Query, and Govern Your Data Across Hybrid Architectures

Alation

The post Alation + AWS: Search, Discover, Query, and Govern Your Data Across Hybrid Architectures appeared first on Alation.

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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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Tableau Prep Builder now available in the browser

Tableau

Rapinder Jawanda. Spencer Czapiewski. December 2, 2020 - 8:46pm. December 15, 2020. With the arrival of Tableau 2020.4 , we've made exciting advancements for self-service data prep. Now, you can create new Tableau Prep flows as well as edit existing flows directly in the browser. Since all your analytical work can be done conveniently in one spot on the server, web authoring helps analysts eliminates the context switching between creating in the desktop and moving the flow to the server.

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Stock Market Price Trend Prediction Using Time Series Forecasting

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Time series forecasting is used to predict future values based on previously. The post Stock Market Price Trend Prediction Using Time Series Forecasting appeared first on Analytics Vidhya.

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Scaling security services with AWS organizations

Twilio Segment

How we improved Segment's security posture by adding AWS organizations to our AWS security services implementation

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Real-Time Interactive Data Visualization Tools Reshaping Modern Business

Smart Data Collective

If the work of a human’s mind can be somehow represented, interactive data visualization is the closest form of such representation right before pure art. So, what is Interactive data visualization and how are they driven by modern interactive data visualization tools? Generally speaking, data visualization itself visually represents a certain database.

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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.