Analytics Vidhya
OCTOBER 2, 2020
This article was published as a part of the Data Science Blogathon. Understanding the problem of Overfitting in Decision Trees and solving it by. The post Let’s Solve Overfitting! Quick Guide to Cost Complexity Pruning of Decision Trees appeared first on Analytics Vidhya.
Smart Data Collective
OCTOBER 1, 2020
Email has proven to be a remarkably resilient marketing medium. The ROI of email marketing can be up to 4,400%. However, email marketing is also rather complicated. Businesses that depend on email marketing need to take advantage of various types of technology to leverage it effectively. We have previously written about the benefits of data driven marketing , but wanted to focus more on the benefits of machine learning as well.
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Eugene Yan
SEPTEMBER 26, 2020
Emphasis on bias, more sequential models & bandits, robust offline evaluation, and recsys in the wild.
DataCentric podcast
SEPTEMBER 28, 2020
What is it about HCI that enterprise IT likes so much? On this episode David Wang, HPE's director of storage marketing, drops in to talk to hosts Matt Kimball and Steve McDowell about why HCI is compelling, and how the different flavors of HCI address a range of needs in the enterprise, whether on the edge or in the core. HPE is in an interesting place with HCI.
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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
OCTOBER 1, 2020
Overview Feature engineering techniques are a must know concept for machine learning professionals Here are 7 feature engineering techniques you can start using right. The post 7 Feature Engineering Techniques in Machine Learning You Should Know appeared first on Analytics Vidhya.
Smart Data Collective
SEPTEMBER 27, 2020
We have talked extensively about the benefits of machine learning in the field of marketing. We pointed out that machine learning is actually driving the digital marketing revolution. However, the benefits of machine learning can be applied to the broader field of marketing as well. One of the most disruptive and beneficial applications of machine learning is with conversational intelligence.
Data Science Current brings together the best content for data science professionals from the widest variety of thought leaders.
DataCentric podcast
OCTOBER 1, 2020
Securing the supply chain for enterprise infrastructure is a key element to any comprehensive cyber-security strategy. As cyber-security month kicks off, Hewlett Packard Enterprise announces a new "country of origin" server program that takes things to the next level. John Grosso, who leads the HPE's Global Operations Engineering organization, joins hosts Matt Kimball and Steve McDowell to talk through cyber-security, the criticality of securing the supply chain, and how HPE is stepp
Analytics Vidhya
SEPTEMBER 28, 2020
Overview Amazon Web Services (AWS) is the leading cloud platform for deploying machine learning solutions Every data science professional should learn how AWS works. The post What is AWS? Why Every Data Science Professional Should Learn Amazon Web Services appeared first on Analytics Vidhya.
Smart Data Collective
SEPTEMBER 28, 2020
The Defense Industrial Base (DIB) is always under constant ransomware attacks. The malicious actors behind these attacks often block access to sensitive government data, intellectual property, and even trade secrets until they get paid. This can potentially harm a government’s military capabilities and operations. According to the Symantec Internet Security Threat Report of 2016, governments’ growing dependence on information technology makes them vulnerable to ransomware attacks.
Alation
OCTOBER 2, 2020
The post Alation 2020.3: Getting Business Users in the Game appeared first on Alation.
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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.
Analytics Vidhya
SEPTEMBER 30, 2020
This article was published as a part of the Data Science Blogathon. Introduction The first step towards problem-solving in data science projects isn’t about. The post Hypothesis Generation for Data Science Projects – A Critical Problem Solving Step appeared first on Analytics Vidhya.
Analytics Vidhya
OCTOBER 1, 2020
This article was published as a part of the Data Science Blogathon. Introduction Python is a truly wonderful programming language. Python’s flexibility has made. The post Introduction to Python Functions for Data Science Beginners appeared first on Analytics Vidhya.
Analytics Vidhya
SEPTEMBER 29, 2020
Overview Winning data science competitions can be a complex process – but you can crack the top 3 if you have a framework to. The post How I Became a Data Science Competition Master from Scratch appeared first on Analytics Vidhya.
Analytics Vidhya
SEPTEMBER 29, 2020
This article is part of the Data Science Blogathon. Introduction Neural networks are ubiquitous right now. Organizations are splurging money on hardware and talent. The post A Quick History of Neural Networks 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.
Analytics Vidhya
SEPTEMBER 27, 2020
Overview Microsoft Excel is an excellent tool for learning and executing statistical functions Here are 12 statistical functions in Excel that you should master. The post 10 Statistical Functions in Excel every Analytics Professional Should Know appeared first on Analytics Vidhya.
Analytics Vidhya
OCTOBER 2, 2020
This article was published as a part of the Data Science Blogathon. Introduction Gradient Descent is one of the most used machine learning algorithms. The post How Does the Gradient Descent Algorithm Work in Machine Learning? appeared first on Analytics Vidhya.
Analytics Vidhya
SEPTEMBER 29, 2020
This article was published as a part of the Data Science Blogathon. Introduction Yesterday, my brother broke an antique at home. I began to. The post How Machine Learning Models Fail to Deliver in Real-World Scenarios appeared first on Analytics Vidhya.
Analytics Vidhya
OCTOBER 1, 2020
Introduction Data science competitions are awesome! I love the variety of business problems we get to solve and when we add in the pressure. The post HackLive – Everything You Need to Get Started with Data Science Hackathons! 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.
Smart Data Collective
OCTOBER 1, 2020
We have talked about some of the biggest ways that big data has influenced the field of marketing. One of the biggest changes big data has created in recent years is in the realm of Facebook advertising. Facebook has been one of the pioneers in big data technology for years. However, many brands haven’t figured out how to use the site’s data to their own advantage.
Smart Data Collective
OCTOBER 2, 2020
Data mining has led to a number of important applications. One of the biggest ways that brands use data mining is with web scraping. Towards Data Science has talked about the role of using data mining tools with web scraping. Unfortunately, the power of Hadoop and other modern data mining technology is eclipsed by limits that Google and other brands place on data queries made from the same IP.
Alation
SEPTEMBER 30, 2020
The post The Data Culture Disconnect appeared first on Alation.
Smart Data Collective
SEPTEMBER 27, 2020
Artificial intelligence has created a number of amazing opportunities for the financial sector. The benefits of AI are endless. Financial institutions are using AI to enhance decision-making, improve customer service, project customer needs and much more. We have talked about the benefits of using big data and AI to improve cybersecurity. But there are other processes that could be equally important for financial institutions.
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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
SEPTEMBER 29, 2020
The concept of databases existed long before the term “big data” was coined. Every website relies heavily on databases to run efficiently. Unfortunately, big data has created some new challenges, although it has opened many doors in other ways. As database sizes grow, websites can have a harder time accessing the data that they need. As a result, website managers have been responding to the growing changes wrought by big data by finding more eloquent database solutions.
Smart Data Collective
SEPTEMBER 27, 2020
The blockchain technology has been around for a while now and the success of the popular cryptocurrency Bitcoin really put this technology on the map. However, digital currencies are not the only area in which blockchain is being used and as time goes by more and more companies and governments around the world are adopting the technology in various capacities.
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