Analytics Vidhya
SEPTEMBER 16, 2020
Introduction Monitoring of user activities performed by local administrators is always a challenge for SOC analysts and security professionals. Most of the security framework. The post Machine Learning in Cyber Security — Malicious Software Installation appeared first on Analytics Vidhya.
Smart Data Collective
SEPTEMBER 17, 2020
Nowadays, terms like ‘Data Analytics,’ ‘Data Visualization,’ and ‘Big Data’ have become quite popular. These terms are fundamentally tied predominantly to matters involving digital transformation as well as growth in companies. In this modern age, each business entity is driven by data. Data analytics are now very crucial whenever there is a decision-making process involved.
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Eugene Yan
SEPTEMBER 12, 2020
My tools for organization and creation, autopilot routines, and Maker's schedule
Alation
SEPTEMBER 17, 2020
The post Alation + Looker: Trusted, Modern Analytics — Perfect for the Cloud appeared first on Alation.
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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
SEPTEMBER 17, 2020
Introduction A virtual assistant, also called an AI assistant or digital assistant, is an application program that understands natural language voice commands and completes. The post How to create your AI Virtual Assistant using Python appeared first on Analytics Vidhya.
Smart Data Collective
SEPTEMBER 14, 2020
There is a common misconception prevalent amongst businesses that cyberattacks , and data breaches only target large scale enterprises. This is not true as almost half of the cyberattacks target small to midsize businesses. This misconception prevents businesses from taking data breaches and cybersecurity attacks seriously. They not only ignore it but also do nothing to protect themselves from it.
Data Science Current brings together the best content for data science professionals from the widest variety of thought leaders.
Analytics Vidhya
SEPTEMBER 14, 2020
Overview Pandas is the Swiss Army Knife of data preprocessing tasks in Python but can be cumbersome when dealing with large amounts of data. The post All Aboard the Pandas Express – How to Speed up Data Preprocessing using Pandas in Python appeared first on Analytics Vidhya.
Analytics Vidhya
SEPTEMBER 17, 2020
Introduction When working on a machine learning project, you need to follow a series of steps until you reach your goal, one of the. The post Alternative Hyperparameter Optimization Technique You need to Know – Hyperopt appeared first on Analytics Vidhya.
Analytics Vidhya
SEPTEMBER 16, 2020
Introduction Hey there! Just finished another deep learning project several hours ago, now I want to share what I actually did there. So the. The post Pneumonia Detection using CNN with Implementation in Python appeared first on Analytics Vidhya.
Analytics Vidhya
SEPTEMBER 15, 2020
Overview Indexing is MongoDB – a key aspect to managing and executing your database queries efficiently in data science Learn how indexing works in. The post Learning Database for Data Science Tutorial – Perform MongoDB Indexing using PyMongo appeared first on Analytics Vidhya.
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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 16, 2020
Part 1 — Detailed steps from training a detector on a custom dataset to inferencing on jetson nano board or cloud using TensorFlow 1.15. The post TensorFlow Object Detection — 1.0 & 2.0: Train, Export, Optimize (TensorRT), Infer (Jetson Nano) appeared first on Analytics Vidhya.
Analytics Vidhya
SEPTEMBER 13, 2020
Overview Learn how to build an accurate forecast in Excel – a classic technique to have for any analytics professional We’ll work on a. The post How to Build a Sales Forecast using Microsoft Excel in Just 10 Minutes! appeared first on Analytics Vidhya.
Analytics Vidhya
SEPTEMBER 12, 2020
Introduction Easy way to build a video face detection app that detects and recognizes happiness in your computer’s camera using OpenCV in Python Face. The post Create your first Video Face Recognition app + Bonus (Happiness Recognition) appeared first on Analytics Vidhya.
Analytics Vidhya
SEPTEMBER 17, 2020
Overview Data science hackathons are a great way to test, improve and build your data science skillset Hear from top data science experts like. The post 5 Must-Watch Talks Before your Next Data Science Hackathon (featuring SRK, Dipanjan Sarkar, and more!) 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 14, 2020
Introduction In the corona days (still not over) I would walk near my house for an hour a day and come back home. One. The post How to perform Blur Detection using OpenCV in Python appeared first on Analytics Vidhya.
Analytics Vidhya
SEPTEMBER 16, 2020
Are you a MIS/Reporting/BI professional trying to get into data science? Here is a comprehensive article listing down 11 steps you should follow! The post 11 Easy-to-Achieve Steps to Transition into Data Science (for Reporting and BI Professionals!) appeared first on Analytics Vidhya.
Analytics Vidhya
SEPTEMBER 15, 2020
Introduction In this article, we will be taking a deep dive into an interesting algorithm known as “Seam Carving”. It does a seemingly impossible. The post Seam Carving Algorithm : A Seemingly Impossible Way of Resizing An Image appeared first on Analytics Vidhya.
Smart Data Collective
SEPTEMBER 16, 2020
Predictive analytics, sometimes referred to as big data analytics, relies on aspects of data mining as well as algorithms to develop predictive models. These predictive models can be used by enterprise marketers to more effectively develop predictions of future user behaviors based on the sourced historical data. These statistical models are growing as a result of the wide swaths of available current data as well as the advent of capable artificial intelligence and machine learning.
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
SEPTEMBER 17, 2020
Big data is utilized in many facets of business. One of the most important benefits of data analytics with lead generation and optimization. Many experts agree that big data is reinventing the art of lead generation. There are a number of benefits of integrating data analytics into the lead pipeline. You need to know how to leverage your data resources to your full advantage.
Smart Data Collective
SEPTEMBER 13, 2020
Big data is becoming more important to modern marketing. You can’t afford to ignore the benefits of data analytics in your marketing campaigns. It is especially important when it comes to SEO. Search Engine Watch has a great article on using data analytics for SEO. This article is a great resource for SEO professionals that want to develop a more data intensive strategy.
Smart Data Collective
SEPTEMBER 14, 2020
Big data is radically changing the future of online business. The benefits that it offers are abundantly clear. This Medium post highlights some of the reasons that big data is transforming the nature of e-commerce and other fields of online business. One of the biggest benefits is through personalized recommendations. Amazon receives around 35% of its business through recommendations it provides to customers.
Smart Data Collective
SEPTEMBER 17, 2020
Would your business benefit from the use of data analysis? In this article, we discuss what this practice is, how it is done and why you might require its use. This should help you to decide whether it is right for you and your organization. What is Data Analysis? The term data analysis refers to the recovery of useful information from data. The information in question may relate to internal operations, and productivity, consumer preferences and behavior, product use or popularity along with wid
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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 15, 2020
The coronavirus has forever changed how companies operate. While many had already embraced remote collaboration tools to an extent, the need to quickly transition to a completely remote environment has been a challenge that’s caused plenty of disruptions across most industries. However, while the global pandemic has had a huge impact on businesses worldwide, it has also accelerated the adoption of modern collaboration solutions, which can actually have a positive effect on the way companies oper
Smart Data Collective
SEPTEMBER 15, 2020
Python has historically been the most popular language for big data applications. However, there is a growing need for JavaScript programmers that have a background in data science. React.JS is one of the JavaScript libraries that is becoming more popular for data science applications. One of the biggest advantages of this library is that it can create great, intuitive UI dashboards.
Smart Data Collective
SEPTEMBER 17, 2020
Data analytics has created new opportunities for employers and workers around the world. However, a growing emphasis on data has also created a slew of challenges as well. One of the biggest issues in healthcare is patient privacy. You can learn some insights from the study Patient Privacy in the Era of Big Data. Allowing employees to work remotely helps them set their own schedules and work from home.
Smart Data Collective
SEPTEMBER 17, 2020
Data precision has completely revamped our understanding of geography in countless ways. We also use big data to facilitate navigation. One of the tools that utilizes big data is Google Maps. Anish Nahar of Harvard Business School has gone so far as to state that Google Maps is the world’s most expansive big data machine. Google has expanded the range of features that it provides through Google Maps these days.
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.
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