Analytics Vidhya
NOVEMBER 30, 2020
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.
Dataconomy
DECEMBER 3, 2020
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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Machine Learning (Theory)
DECEMBER 1, 2020
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.
Eugene Yan
NOVEMBER 28, 2020
How he switched from engineering to data science, what "senior" means, and how writing helps.
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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have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth.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.
Analytics Vidhya
DECEMBER 1, 2020
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.
Smart Data Collective
DECEMBER 2, 2020
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.
Data Science Current brings together the best content for data science professionals from the widest variety of thought leaders.
The Data Administration Newsletter
DECEMBER 2, 2020
Ensuring data quality is an important aspect of data management and these days, DBAs are increasingly being called upon to deal with the quality of the data in their database systems more than ever before. The importance of quality data cannot be overstated. Poor data quality costs the typical company between 10% and 20% of […].
Analytics Vidhya
NOVEMBER 30, 2020
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.
Smart Data Collective
DECEMBER 1, 2020
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.
DeepMind
NOVEMBER 29, 2020
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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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?
Tableau
DECEMBER 4, 2020
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.
Analytics Vidhya
DECEMBER 3, 2020
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.
Smart Data Collective
DECEMBER 2, 2020
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.
DeepMind
DECEMBER 3, 2020
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.
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.
Tableau
DECEMBER 3, 2020
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
Analytics Vidhya
DECEMBER 3, 2020
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.
Smart Data Collective
NOVEMBER 30, 2020
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.
The Data Administration Newsletter
DECEMBER 2, 2020
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 […].
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.
Tableau
DECEMBER 4, 2020
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.
Analytics Vidhya
DECEMBER 4, 2020
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.
Smart Data Collective
NOVEMBER 30, 2020
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.
Dataversity
DECEMBER 4, 2020
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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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.
Tableau
DECEMBER 2, 2020
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.
Analytics Vidhya
NOVEMBER 30, 2020
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.
Smart Data Collective
NOVEMBER 30, 2020
Pokémon activities have changed dramatically since they first became popular over 20 years ago. Artificial intelligence has been highly influential in changing the way that the game is played. AI has even made it possible to use a fake GPS joystick for Pokémon Go with spoofing or Dr. Fone Virtual Location. Artificial intelligence has been particularly important with the Pokémon Go game.
The Data Administration Newsletter
DECEMBER 1, 2020
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, […].
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.
Twilio Segment
DECEMBER 1, 2020
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.
Analytics Vidhya
NOVEMBER 29, 2020
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.
Shreyansh Singh
NOVEMBER 29, 2020
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.
Alation
DECEMBER 2, 2020
The post Alation + AWS: Search, Discover, Query, and Govern Your Data Across Hybrid Architectures appeared first on Alation.
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.
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