Analytics Vidhya
AUGUST 7, 2019
Overview Language models are a crucial component in the Natural Language Processing (NLP) journey These language models power all the popular NLP applications we. The post A Comprehensive Guide to Build your own Language Model in Python! appeared first on Analytics Vidhya.
datapine
AUGUST 7, 2019
In the Age of Information, digital technologies have evolved to such an extent that a wealth of tools, applications, and platforms exists to enhance the way businesses operate in a number of areas. Software as a service (SaaS) has blossomed in the last five years, and the public SaaS market is expected to grow to $76 billion by the year 2020, according to FinancesOnline.
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
KDnuggets
AUGUST 7, 2019
Benford’s law is a little-known gem for data analytics. Learn about how this can be used for anomaly or fraud detection in scientific or technical publications.
Smart Data Collective
AUGUST 7, 2019
Big data has the power to transform any small business. However, many small businesses don’t know how to utilize it. One study found that 77% of small businesses don’t even have a big data strategy. If your company lacks a big data strategy, then you need to start developing one today. The best thing that you can do is find some data analytics tools to solve your most pressing challenges.
Advertisement
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.
KDnuggets
AUGUST 7, 2019
Learn about Artificial Neural Networks, Deep Learning, Recurrent Neural Networks and LSTMs like never before and use NLP to build a Chatbot!
erwin
AUGUST 7, 2019
A data catalog benefits organizations in a myriad of ways. With the right data catalog tool, organizations can automate enterprise metadata management – including data cataloging, data mapping, data quality and code generation for faster time to value and greater accuracy for data movement and/or deployment projects. Data cataloging helps curate internal and external datasets for a range of content authors.
Data Leaders Brief brings together the best content for data, strategy, and BI professionals from the widest variety of industry thought leaders.
Sisense
AUGUST 7, 2019
Blog. Building an effective dashboard according to best practices for dashboard design is the culmination of a comprehensive BI process that would usually include gathering requirements, defining KPIs, and creating a data model. However, the importance of proper dashboard design should not be understated — poorly designed dashboards could fail to convey useful information and insights and even make the data less comprehensible than it was originally.
KDnuggets
AUGUST 7, 2019
In this tutorial, you’ll use Python and Pandas to explore a dataset and create visual distributions, identify and eliminate outliers, and uncover correlations between two datasets.
Smart Data Collective
AUGUST 7, 2019
We have talked extensively about the fields that rely most heavily on big data. The insurance industry is one of the companies investing the most in big data technology. Exactly one year ago today, SNS Telecom & IT published a report highlighting the demand for big data in the insurance industry. The report showed that insurers spent $2.4 billion on big data in 2018 alone.
KDnuggets
AUGUST 7, 2019
Also: Ten more random useful things in R you may not know about; 5 Probability Distributions Every Data Scientist Should Know; Machine Learning is Happening Now: A Survey of Organizational Adoption, Implementation, and Investment; Programmers rejoice! Deep TabNine offer code autocompletion with #deeplearning.
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.
Ontotext
AUGUST 7, 2019
In the wake of the Industrial Revolution in Victorian Britain, a doctor drew a map to prove that cholera wasn’t air-borne as it was believed at the time and became one of the fathers of modern epidemiology. During a cholera outbreak in Soho in London in 1854, Dr. John Snow – Queen Victoria’s anesthesiologist – created a map with the cholera deaths and identified a water pump as the common factor and the culprit for the deadly disease outbreak.
Smarten
AUGUST 7, 2019
Do You Know the Benefits of Advanced Analytics? Find out Now! The benefits of advanced analytics are many and the current support in the market for business user access and data insight provides expanded advantages of advanced analytics. Access to these crucial tools is no longer limited to IT and data scientists or analysts. Business users can leverage Augmented Analytics advantages by using tools that make suggestions and recommendations to help a user decide how to visualize data, which algor
KDnuggets
AUGUST 7, 2019
This week on KDnuggets: What 70% of Data Science Learners Do Wrong; Pytorch Cheat Sheet for Beginners and Udacity Deep Learning Nanodegree; How a simple mix of object-oriented programming can sharpen your deep learning prototype; Can we trust AutoML to go on full autopilot?; Ten more random useful things in R you may not know about; 25 Tricks for Pandas; and much more!
Octopai
AUGUST 7, 2019
In the entire history of business, dealing with data has never been easier thanks to advances in computer processing, storage, and networking. Things to consider for Data Compliance: – Acquisition: What was at one time a painstaking manual process of transcribing handwritten information from comment cards, surveys, contest entries, and more has become almost fully automated.
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.
Ontotext
AUGUST 7, 2019
In the wake of the Industrial Revolution in Victorian Britain, a doctor drew a map to prove that cholera wasn’t air-borne as it was believed at the time and became one of the fathers of modern epidemiology. During a cholera outbreak in Soho in London in 1854, Dr. John Snow – Queen Victoria’s anesthesiologist – created a map with the cholera deaths and identified a water pump as the common factor and the culprit for the deadly disease outbreak.
Data Virtualization
AUGUST 7, 2019
Everything changes so fast, knowing how to adapt is no longer an option but a necessity. Companies now operate in a market that not only moves at an impressive speed, but also changes shape with the same speed. These changes.
Nutanix
AUGUST 7, 2019
Nutanix is introducing new consumption models for specific use cases to provide another option to capacity-based (CBL) and appliance licensing, giving you the flexibility to bring different Nutanix software together in a way that is simple to plan, price, and purchase. The two new use cases are virtual desktop infrastructure (VDI) and remote office/branch office (ROBO) deployments.
Dataiku
AUGUST 7, 2019
At Dataiku, every new member of the team, either marketer or superstar data scientist, learns the Dataiku platform with the Titanic Kaggle Competition. It's such a milestone in the company that our first meeting room was named after it! So here’s a tutorial first Kaggle submission in 5 minutes!
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.
Teradata
AUGUST 7, 2019
Teradata partners Microsoft & Informatica announced that they are taking on cloud analytic migrations. Find out what this means for our on-premises customers.
3AG Systems
AUGUST 7, 2019
As any good tradesperson knows, you need the right tool for the job. Just ask someone who’s used a screwdriver to assemble furniture how much they would pay for a power drill. The same holds true for working with data. Today, many companies dive into machine learning, advanced analytics, or other buzzword-heavy projects with the goal of getting ahead of competitors.
Expert insights. Personalized for you.
302 
Let's personalize your content