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 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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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.
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.
Speaker: Tamara Fingerlin, Developer Advocate
Apache Airflow® 3.0, the most anticipated Airflow release yet, officially launched this April. As the de facto standard for data orchestration, Airflow is trusted by over 77,000 organizations to power everything from advanced analytics to production AI and MLOps. With the 3.0 release, the top-requested features from the community were delivered, including a revamped UI for easier navigation, stronger security, and greater flexibility to run tasks anywhere at any time.
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 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.
Data Science 101
FEBRUARY 15, 2020
Welcome to Cloud Data Science 7. Announcements around an exciting new open-source deep learning library, a new data challenge and more. News. Microsoft Releases DeepSpeed for Training very large Models DeepSpeed is a new open-source library for deep learning optimization. Using a component of the library named ZeRO, it can train models with up to 100 billion parameters.
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.
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.
Speaker: Alex Salazar, CEO & Co-Founder @ Arcade | Nate Barbettini, Founding Engineer @ Arcade | Tony Karrer, Founder & CTO @ Aggregage
There’s a lot of noise surrounding the ability of AI agents to connect to your tools, systems and data. But building an AI application into a reliable, secure workflow agent isn’t as simple as plugging in an API. As an engineering leader, it can be challenging to make sense of this evolving landscape, but agent tooling provides such high value that it’s critical we figure out how to move forward.
DataRobot
FEBRUARY 18, 2020
Deeper integration between DataRobot and Snowflake to help customers go from data to value even faster.
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.
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.
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.
Speaker: Andrew Skoog, Founder of MachinistX & President of Hexis Representatives
Manufacturing is evolving, and the right technology can empower—not replace—your workforce. Smart automation and AI-driven software are revolutionizing decision-making, optimizing processes, and improving efficiency. But how do you implement these tools with confidence and ensure they complement human expertise rather than override it? Join industry expert Andrew Skoog as he explores how manufacturers can leverage automation to enhance operations, streamline workflows, and make smarter, data-dri
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.
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
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.
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.
Speaker: Frank Taliano
Documents are the backbone of enterprise operations, but they are also a common source of inefficiency. From buried insights to manual handoffs, document-based workflows can quietly stall decision-making and drain resources. For large, complex organizations, legacy systems and siloed processes create friction that AI is uniquely positioned to resolve.
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.
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.
Alation
FEBRUARY 20, 2020
“I’ve been looking at the sky, ‘Cause it’s gettin’ me high… Yes I’m back in black” – Back In Black, AC/DC 1. AC/DC, the Australian rock and roll band shot to international fame with Back in Black, their best-selling album of all times. The Back in Black world tour was a glorious rock and roll spectacle that featured a one-ton bronze “Hell’s Bell,” which was lowered to the stage each night.
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.
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?
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.
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.
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.
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.
Speaker: Ben Epstein, Stealth Founder & CTO | Tony Karrer, Founder & CTO, Aggregage
When tasked with building a fundamentally new product line with deeper insights than previously achievable for a high-value client, Ben Epstein and his team faced a significant challenge: how to harness LLMs to produce consistent, high-accuracy outputs at scale. In this new session, Ben will share how he and his team engineered a system (based on proven software engineering approaches) that employs reproducible test variations (via temperature 0 and fixed seeds), and enables non-LLM evaluation m
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
Every business is trying to become a digital business and the monetization of data is a fundamental part of that transformation. But when you have hundreds of thousands of data sources, potentially millions of different datasets and thousands of people constantly consuming that information, that transformation quickly becomes overwhelming. How do you manage the consumption of that much information?
Alation
FEBRUARY 20, 2020
“The key point is that no organization governs information simply because it can. ; there has to be a business context, and the increasing realization of this context explains the rise of information stewardship applications.” – May 2018 Gartner Market Guide for Information Stewardship Applications. The rise of data lakes, IOT analytics, and big data pipelines has introduced a new world of fast, big data.
Alation
FEBRUARY 20, 2020
Data catalogs are here to stay. This week, two independent analyst reports validated what we’ve known for years – data catalogs are critical for self-service analytics.[1]. After investing in self-service analytic tooling, organizations are now turning their attention to linking infrastructure and tooling to data-driven decisions. While this requires technology – AI, machine learning, log parsing, natural language processing,metadata management, this technology must be surfaced in a
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!
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