Analytics Vidhya
SEPTEMBER 21, 2020
Overview NoSQL databases are ubiquitous in the industry – a data scientist is expected to be familiar with these databases Here, we will see. The post 5 Popular NoSQL Databases Every Data Science Professional Should Know About appeared first on Analytics Vidhya.
Smart Data Collective
SEPTEMBER 21, 2020
Two or three decades ago, gathering data was the biggest challenge businesses faced. Leaders craved more information and access. Today, these same companies are drowning in data. The challenge of today is organizing and making sense of the data. 4 Tips to Help You Make Sense of Your Data. With so much emphasis on collecting and accessing data, it’s easy to become so paralyzed by information that you fail to do anything with it.
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Eugene Yan
SEPTEMBER 19, 2020
For years I've refined my routines and found tools to manage my time. Here I share it with readers.
Depends on the Definition
SEPTEMBER 24, 2020
Language models gained popularity in NLP in the recent years. Sometimes you might have enough data and want to train a language model like BERT or RoBERTa from scratch. While there are many tutorials about tokenization and on how to train the model, there is not much information about how to load the data into the model. This guide aims to close this gap.
Speaker: Chris Townsend, VP of Product Marketing, Wellspring
Over the past decade, companies have embraced innovation with enthusiasm—Chief Innovation Officers have been hired, and in-house incubators, accelerators, and co-creation labs have been launched. CEOs have spoken with passion about “making everyone an innovator” and the need “to disrupt our own business.” But after years of experimentation, senior leaders are asking: Is this still just an experiment, or are we in it for the long haul?
Analytics Vidhya
SEPTEMBER 20, 2020
An Unmissable Opportunity to Earn your Data Science Certificate Picture this – you are given the opportunity to take a high-quality course on a. The post Big Announcement: 3 Free Certificate Courses in Data Science and Machine Learning by Analytics Vidhya! appeared first on Analytics Vidhya.
Smart Data Collective
SEPTEMBER 23, 2020
The concept of cryptocurrency is still foreign to so many in the United States and around the world. There is a lot more mass appeal of cryptocurrencies like Bitcoin, Litecoin, and others. Generally speaking, though, they are still mysterious in the eyes of the common individual. In the cryptocurrency market, we are starting to see the emergency and convergence of crypto and big data analytics.
Data Science Current brings together the best content for data science professionals from the widest variety of thought leaders.
Alation
SEPTEMBER 22, 2020
The post Alation + Snowflake: Driving Data Culture appeared first on Alation.
Analytics Vidhya
SEPTEMBER 19, 2020
Introduction Supervised Contrastive Learning paper claims a big deal about supervised learning and cross-entropy loss vs supervised contrastive loss for better image representation and. The post A Detailed Study of Self Supervised Contrastive Loss and Supervised Contrastive Loss appeared first on Analytics Vidhya.
Smart Data Collective
SEPTEMBER 23, 2020
Google’s first page is pretty much the promised land for all web-pages. And, why shouldn’t it be? Sure, it takes effort and time to get there. But, once you’re there the traffic basically takes care of itself. You only need a fraction of all the effort you put in earlier to stay there. Unfortunately, climbing the SERP ladder is easier said than done.
Eugene Yan
SEPTEMBER 20, 2020
What's an average day like? What's great about the role? How's working in Amazon?
Speaker: Tamara Fingerlin, Developer Advocate
In this new webinar, Tamara Fingerlin, Developer Advocate, will walk you through many Airflow best practices and advanced features that can help you make your pipelines more manageable, adaptive, and robust. She'll focus on how to write best-in-class Airflow DAGs using the latest Airflow features like dynamic task mapping and data-driven scheduling!
Analytics Vidhya
SEPTEMBER 22, 2020
Overview Excel is the perfect fit for building your time series forecasting models We’ll discuss exponential smoothing models for time series forecasting, including the. The post Time Series in Excel! Learn Exponential Smoothing Models for Time Series Forecasting in Excel appeared first on Analytics Vidhya.
Analytics Vidhya
SEPTEMBER 23, 2020
Overview Preparing for your next data science interview? You need to ensure you’re covering your basics Here are 6 key points we’ve taken from. The post 6 Key Points you Should Focus on for your Next Data Science Interview appeared first on Analytics Vidhya.
Analytics Vidhya
SEPTEMBER 24, 2020
“There is no alternative to learning through experience.” This quote rings true for every aspect of our life. And it takes on a whole. The post Presenting HackLive – A Guided Community Hackathon by Analytics Vidhya’s Data Science Experts! appeared first on Analytics Vidhya.
Analytics Vidhya
SEPTEMBER 22, 2020
Introduction Ranking with MCDM You can’t rest on your #1 ranking-because the guy at #2 isn’t resting. He’s still improving his site — Ryan. The post How to Rank Entities with Multi-Criteria Decision Making Methods(MCDM) appeared first on Analytics Vidhya.
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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.
Smart Data Collective
SEPTEMBER 21, 2020
We learn something new about the COVID-19 pandemic every day. This is a credit to brilliant scientists, epidemiologists, and public health experts around the world, but these professionals wouldn’t be able to do their jobs without big data systems. In fact, big data systems, which have already proven to be the most significant intervention in 21st century healthcare , represent our greatest hope of driving back COVID-19 infections and quickly developing an effective vaccine.
Smart Data Collective
SEPTEMBER 23, 2020
The market for data warehouses is booming. One study forecasts that the market will be worth $23.8 billion by 2030. Demand is growing at an annual pace of 29%. While there is a lot of discussion about the merits of data warehouses, not enough discussion centers around data lakes. We talked about enterprise data warehouses in the past, so let’s contrast them with data lakes.
Smart Data Collective
SEPTEMBER 22, 2020
If you’ve never been aware of big data in the firearms industry, you’re in for a treat. Statistics over time have proven that the firearms industry does exceptionally well under two conditions: right before a presidential election and during a national crisis. Currently, the U.S. is facing both of these conditions at once. This means it’s a good time to go into business in the firearms industry.
Smart Data Collective
SEPTEMBER 24, 2020
Cybercrime, particularly in the financial sector, not only cost the world economy $2.7 billion in 2018, but it also is one of the most feared threats to national security in the United States, with more than 164 million personal records getting exposed in 2019, alone. . The list of different types of cyber attacks grows as rapidly as other parts of the technology and ecommerce sectors , and with constant evolution there is no set way to protect against them today that you can ensure will still b
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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?
Smart Data Collective
SEPTEMBER 24, 2020
Artificial intelligence is leading to some drastic changes in the field of photography. Many photographers are discovering the profound benefits of machine learning and other AI capabilities. The market for artificial intelligence in photography was worth $10.7 billion in 2019. It is expected to reach over $29 billion by 2024. There have already been a lot of applications for machine learning with photos in marketing.
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