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.
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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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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?
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
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.
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
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 18, 2020
Deeper integration between DataRobot and Snowflake to help customers go from data to value even faster.
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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.
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 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.
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: 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.
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
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.
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.
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.
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.
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 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
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!
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.
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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.
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 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
The head of sales needs the most up-to-date statistics on the state of the business, and they need it now — well, actually, yesterday. Creating a set of custom reports would take too much time. But why start from scratch? The calculations that describe the state of the business already exist — in hundreds of dashboards and thousands of reports. The challenge is one of transparency.
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.
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.
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
Gartner predicts that “By 2020, 50% of information governance initiatives will be enacted with policies based on metadata alone.”. – Gartner, Inc., Magic Quadrant for Metadata Management Solutions , Guido de Simoni and Roxane Edjlali, August 10, 2017. Metadata management no longer refers to a static technical repository. Now, it means an active catalog for business.
Alation
FEBRUARY 20, 2020
When you first meet Aaron Kalb, you are immediately struck by his boundless enthusiasm for meeting human challenges with bionic solutions. Speaking with Aaron sometimes feels like you suddenly woke up a decade into the future (only he’s already there and you’re struggling to keep up). Born into a world where information often seems more overwhelming than helpful, Aaron was inspired, along with Venky Ganti, Feng Niu and myself, to build a collaborative software platform that helps people find, un
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.
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