Analytics Vidhya
OCTOBER 28, 2020
This article was published as a part of the Data Science Blogathon. Introduction The share price of HDFC Bank is going up. It’s on. The post Predicting Stock Prices using Reinforcement Learning (with Python Code!) appeared first on Analytics Vidhya.
Martha Bennett
OCTOBER 28, 2020
In 2021, Forrester predicts 30% of blockchain projects will make it into production with the majority of those run on enterprise platforms. Find out more in our 2021 blockchain predictions.
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Analytics Vidhya
OCTOBER 28, 2020
This article was published as a part of the Data Science Blogathon. Introduction Working on a Project on image recognition or Object Detection but. The post What is the Convolutional Neural Network Architecture? appeared first on Analytics Vidhya.
Smart Data Collective
OCTOBER 28, 2020
Healthcare organizations house enormous amounts of data – amounts that have been multiplied many times over since the widespread adoption of electronic health records (EHR) systems over the last decade. What few of these groups know how to reckon with, though, is how to best manage data that’s no longer in use – particularly data from systems the organization has since retired.
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.
Analytics Vidhya
OCTOBER 28, 2020
Overview Get familiar with Hadoop Distributed File System (HDFS) Understand the Components of HDFS Introduction In contemporary times, it is commonplace to deal. The post Hadoop Distributed File System (HDFS) Architecture – A Guide to HDFS for Every Data Engineer appeared first on Analytics Vidhya.
Smart Data Collective
OCTOBER 28, 2020
With a mountain of existing data privacy regulations and more on the way, it’s more critical than ever to implement strict cybersecurity strategies. If you process data of any kind – even if you only collect email addresses – you need strong cybersecurity measures. Protecting your data is the only way to avoid serious consequences for your customers and your business.
Data Leaders Brief brings together the best content for data, strategy, and BI professionals from the widest variety of industry thought leaders.
Cloudera
OCTOBER 28, 2020
The customer has never been more right. Across industries, customers have become conditioned to demand not only near-instant responses to their needs but that their needs be anticipated in advance. Financial institutions are not given a pass, despite a competitive landscape flooded with regulation and privacy considerations. The customer still has expectations for a personalized, timely, and relevant experience.
Analytics Vidhya
OCTOBER 28, 2020
Introduction All the tricks right on your tips If you have been doing python, you must have definitely come across the itertools module. It. The post Mastering the Itertools Module in Python appeared first on Analytics Vidhya.
Cloudera
OCTOBER 28, 2020
Cloudera services logs offer a breadth of information to assist in cluster maintenance; from assisting in security checks, auditing tasks, and validation for performance tuning and testing tasks – to name a few. . However, log records generated by these services do not hold the same value for every organisation. For example Cyber teams may find more value in logs that outline user behaviour when accessing the data, whilst operational teams may prefer logs that show the spikes in load time throug
Analytics Vidhya
OCTOBER 28, 2020
Overview This article will see how to create a stacked sequence to sequence the LSTM model for time series forecasting in Keras/ TF 2.0. . The post Multivariate Multi-step Time Series Forecasting using Stacked LSTM sequence to sequence Autoencoder in Tensorflow 2.0 / Keras appeared first on Analytics Vidhya.
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.
Data Virtualization
OCTOBER 28, 2020
Organizations today need a data architecture that can overcome a double challenge: satisfy new business needs that require more agility and self-service capabilities, while at the same time dealing with a growing, diverse, and fast-moving data ecosystem (new data sources,
Analytics Vidhya
OCTOBER 28, 2020
This article was published as a part of the Data Science Blogathon. Introduction A popular and widely used statistical method for time series forecasting. The post How to Create an ARIMA Model for Time Series Forecasting in Python appeared first on Analytics Vidhya.
CDW Research Hub
OCTOBER 28, 2020
Sirius Healthcare and HealthIMPACT are midway through a panel discussion series designed for healthcare IT leaders transitioning from a period of rapid pandemic response to a sustainable recovery in a world forever changed. As the entire system faces unprecedented challenges, the value of digital healthcare has never been more evident; yet at the same time, resources have never been more scarce.
Analytics Vidhya
OCTOBER 28, 2020
Introduction “PowerPoint will die in the next 5 years” – just something I heard from a senior way back in 2005. 15 years on, The post Move to Online Dashboards – 6 Things to remember before you choose a tool! appeared first on Analytics Vidhya.
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.
Jet Global
OCTOBER 28, 2020
What is a CFO KPI? A CFO Key Performance Indicator (KPI) or metric is a quantifiable high level measure of financial performance. These KPIs can be considered a specific subset of financial KPIs, used to help a CFO make informed decisions that steer their company in the right direction. These performance metrics can also be used to measure a company’s financial performance relative to competitors in the same industry.
Martha Bennett
OCTOBER 28, 2020
In 2021, Forrester predicts 30% of blockchain projects will make it into production with the majority of those run on enterprise platforms. Find out more in our 2021 blockchain predictions.
Jet Global
OCTOBER 28, 2020
Webinar Date: November 18, 2020 6:00 PM – 6:40 PM UTC. Americas. Register Now. Europe. Register Now. APAC. Register Now. Does it take you 5 days, 10 days, or even longer to complete your monthly, quarterly, or year-end close? Are you struggling with consolidations for multiple subsidiaries that each run different financial management systems? What if your closing cycle could happen in one or two days instead of in a month?
Octopai
OCTOBER 28, 2020
As you may have experienced, one of the many impacts of the COVID-19 pandemic is that on-premises metadata management may no longer be a feasible way to connect BI teams. Without this essential link, information may be lost, misplaced, or deleted altogether. So, how can BI teams still develop insights and guide their companies in the right direction?
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.
Expert insights. Personalized for you.
400 
Let's personalize your content