Analytics Vidhya
FEBRUARY 16, 2020
Overview Check out 3 different types of neural networks in deep learning Understand when to use which type of neural network for solving a. The post CNN vs. RNN vs. MLP – Analyzing 3 Types of Neural Networks in Deep Learning appeared first on Analytics Vidhya.
Dataconomy
FEBRUARY 19, 2020
SMEs are the unsung heroes of any economy- producing numerous jobs, the backbone to big corporates to scale up and still struggling to sustain themselves as they are unable to innovate as fast as younger companies and lack the funds. As we enter a new decade, over half (58%) of small businesses in. The post Here are the biggest challenges SMEs in the UK are facing appeared first on Dataconomy.
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DataRobot
FEBRUARY 18, 2020
We at DataRobot have been enjoying building models to predict various sporting events around the world. However, it’s been pointed out to me that we have shown a bias for covering North American events so far. Several colleagues in Europe asked when we were going to predict the world’s most popular game, football. So I enlisted Chloe and Akshay to help me and see if we could predict the Champions League Knockout Stage and the eventual Champions League winner.
Smart Data Collective
FEBRUARY 21, 2020
The accessibility and value of consumer data has grown substantially in the past several years. These days, nearly every company bigger than a “mom and pop” shop works to gather and analyze terabytes of data from their customers, hoping to better understand and serve them while one-upping the competition. In the financial industry, these efforts are particularly intense.
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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have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth.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
FEBRUARY 17, 2020
Introduction Convolutional neural networks (CNN) – the concept behind recent breakthroughs and developments in deep learning. CNNs have broken the mold and ascended the. The post Learn Image Classification on 3 Datasets using Convolutional Neural Networks (CNN) appeared first on Analytics Vidhya.
Dataconomy
FEBRUARY 21, 2020
Data professionals across industries recognize they must effectively harness data for their businesses to innovate and gain competitive advantage. High quality, reliable data forms the backbone for all successful data endeavors, from reporting and analytics to machine learning. Delta Lake is an open-source storage layer that solves many concerns around data.
Data Science Current brings together the best content for data science professionals from the widest variety of thought leaders.
Smart Data Collective
FEBRUARY 21, 2020
Many careers have been heavily impacted by changes in big data. The big data revolution has had a profound effect on healthcare, marketing and many other fields. One of the fields that has been most affected by big data is electrical engineering. Tom Dietterich, a professor of the Department of Electrical Engineering and Computer Science at Portland State University, has written an article on the impact of big data in this field.
Analytics Vidhya
FEBRUARY 19, 2020
Overview MongoDB is a popular unstructured database that data scientists should be aware of We will discuss how you can work with a MongoDB. The post MongoDB in Python Tutorial for Beginners (using PyMongo) appeared first on Analytics Vidhya.
Dataconomy
FEBRUARY 19, 2020
What is a VPN? How is it used? Why is it needed now more than ever before? Read on. Do you want to protect your online identity, stay safe on public wifi or bypass censorship on the internet? Then this article is for you. First a little background on how. The post Three VPN use cases you should know about appeared first on Dataconomy.
DataRobot
FEBRUARY 18, 2020
Deeper integration between DataRobot and Snowflake to help customers go from data to value even faster.
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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
FEBRUARY 20, 2020
Big data is changing the nature of invoicing software in many ways. In 2015, Spend Matters wrote a detailed report on the applications of big data in the e-invoicing industry. This has changed the perception business owners had of invoicing applications, because they often ignored the benefits of it before then. Big Data Transforms Invoicing Software Applications.
Analytics Vidhya
FEBRUARY 20, 2020
Introduction Language translators are in a world of their own. Our task involves meticulous preparation and quality checks before the final touches are put. The post 5 Useful Tools To Provide Effective Data Visualization For Translators appeared first on Analytics Vidhya.
Dataconomy
FEBRUARY 19, 2020
If you are a developer or data scientist interested in big data, Spark is the tool for you. Apache Spark’s ability to speed analytic applications by orders of magnitude, its versatility, and ease of use are quickly winning the market. With Spark’s appeal to developers, end-users, and integrators to solve. The post Free eBook: A Practical Introduction to Apache Spark appeared first on Dataconomy.
DataRobot
FEBRUARY 17, 2020
Given the interest in and dynamic nature of the artificial intelligence ( AI ), data science , and machine learning market, we believe that Gartner’s Magic Quadrant for Data Science and Machine Learning Platforms has become one of the most anticipated pieces of research in our industry.
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.
Smart Data Collective
FEBRUARY 19, 2020
Injection molding is vital to the mass production of plastics and plastic products. Due to the variety of complications with mold design and mold manufacturing, and the combining of plastics and molding machines, there is difficulty in molding products with high quality and precision. However, Big Data and Cloud technology make the process simpler and improve quality.
Analytics Vidhya
FEBRUARY 18, 2020
Introduction to the rstudio::conf 2020! I’m a heavy R user. It was the first programming language I learned (thanks to my interest in data. The post 11 Powerful Talks from rstudio::conf 2020 you Must Watch – A Treat for R Users! appeared first on Analytics Vidhya.
DataRobot Blog
FEBRUARY 17, 2020
by Jen Underwood. After a momentous year of industry consolidation and unstoppable big tech world domination, controversial placements and omissions linger on in Gartner’s Magic Quadrant for Analytics and Business Intelligence Platforms 2020. Read More.
Alation
FEBRUARY 20, 2020
As data drives more and more of the modern economy, data governance and data management are racing to keep up with an ever-expanding range of requirements, constraints and opportunities. It is a little like a data version of the Cambrian Explosion, where data-centricity is giving rise to a rich variety of practices, each distinct and unique in its own way.
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.
Smart Data Collective
FEBRUARY 20, 2020
Are you looking to capitalize off of your knowledge of big data? There are a lot of careers that talented data scientists can pursue. Information systems careers are among the most promising. IBM Big Data and Analytics Hub has talked about some of the biggest changes impacting the world of big data. They found an interesting quandary that many companies are facing.
Analytics Vidhya
FEBRUARY 17, 2020
Overview Presenting the top three winning solutions and approaches from the LTFS Data Science FinHack 2 The problem statement for this hackathon was from. The post Top 3 Winning Solutions and Approaches from LTFS Data Science FinHack 2 (with Code) appeared first on Analytics Vidhya.
DataCentric podcast
FEBRUARY 17, 2020
On the heels of a big set of announcements from IBM Storage, Eric Herzog, Chief Marketing Officer and VP of Worldwide Storage Channels for IBM, joins Moor Insights & Strategy senior technology analyst Steve McDowell for a conversation about what's new and different from IBM as the company both simplifies its non-mainframe storage offerings with top-to-bottom FlashSystem products, and continues its efforts to bring that simplicity to a hybrid-multicloud world.
Alation
FEBRUARY 20, 2020
We’re getting ready to debut the brand new Alation Arena at the Strata Data Conference in New York this week. Inspired by BattleBots, the popular robot combat television series, and built by world robotic tournament champions’, Zachary Lytle and Diana Tarlson, the arena is ready to make a big entrance. It’s a professional grade, bullet proof arena (we promise!
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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.
Smart Data Collective
FEBRUARY 21, 2020
Like all other sectors, the healthcare industry collects, stores and uses data. The market for big data in the global healthcare sector is expected to reach $42.8 billion by 2024. When a negligence claim is being investigated, this patient data can prove extremely valuable. In this post, we’ll look at how medical and patient data is handled during a negligence investigation claim.
Analytics Vidhya
FEBRUARY 18, 2020
Which Data Science or Machine Learning Tool is the Best? We are living in the age of choices. The data revolution has transformed the. The post Gartner’s 2020 Magic Quadrant for Data Science and Machine Learning Tools – check out the new Leaders! appeared first on Analytics Vidhya.
Dataconomy
FEBRUARY 19, 2020
This free guide walks you through six easy steps for data acquisition, a complete checklist for data provider due diligence, and data provider tests to uplift your model’s accuracy. Data scientists are constantly challenged with improving their ML models. But when a new algorithm won’t improve your AUC there’s only. The post The Complete Guide to Data Acquisition For Machine Learning appeared first on Dataconomy.
Alation
FEBRUARY 20, 2020
For the past four years, Gartner has hosted a BI Bake Off competition at the Gartner Data and Analytics Summit in Texas. Selected vendors are given the opportunity to highlight their solutions and show how data and analytics can be harnessed for social good. Each vendor works from the same dataset, and this year, Gartner selected a dataset related to the Opioid Crisis.
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.
Smart Data Collective
FEBRUARY 19, 2020
Businesses seeking new capital are facing a couple new changes that they need to be prepared for. Lenders are tightening their actuarial criteria and employing data driven decision making capabilities. If a company is looking to borrow money, they need to understand how big data has changed the process. They need to adapt their borrowing strategy to the new big data algorithms to improve their changes of securing a loan.
Smart Data Collective
FEBRUARY 18, 2020
Big data is invaluable for leveraging your brand assets. Your website is a prime example. In 2020, the benefits of big data are more accessible than ever. With a few technical skills and a detailed understanding of big data, it is very easy to start your own business from home with the help of data platforms like KissMetrics or even SAS. For example, it has become very easy to build a large online store with platforms such as WooCommerce and use drop-shipping to sell products without having to s
Alation
FEBRUARY 20, 2020
A recent report from Gartner, Data Catalogs Are the New Black in Data Management and Analytics finds that, “Demand for data catalogs is soaring as organizations struggle to inventory distributed data assets to facilitate data monetization and conform to regulations.”* The trend mirrors demand for Alation. Organizations of all sizes are making the enterprise data catalog a core component of their data organizations.
Alation
FEBRUARY 20, 2020
For many enterprises, a hybrid cloud data lake is no longer a trend, but becoming reality. With a cloud deployment, enterprises can leverage a “pay as you go” model; reducing the burden of incurring capital costs. Compute and storage resources are separated, allowing those resources to be rapidly provisioned and scaled up or down independently. Not only can resources be quickly provisioned and optimized for different workloads and processing needs, but it can be done cost effectively.
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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