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.
Speaker: Tamara Fingerlin, Developer Advocate
Apache Airflow® 3.0, the most anticipated Airflow release yet, officially launched this April. As the de facto standard for data orchestration, Airflow is trusted by over 77,000 organizations to power everything from advanced analytics to production AI and MLOps. With the 3.0 release, the top-requested features from the community were delivered, including a revamped UI for easier navigation, stronger security, and greater flexibility to run tasks anywhere at any time.
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 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 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 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.
Speaker: Alex Salazar, CEO & Co-Founder @ Arcade | Nate Barbettini, Founding Engineer @ Arcade | Tony Karrer, Founder & CTO @ Aggregage
There’s a lot of noise surrounding the ability of AI agents to connect to your tools, systems and data. But building an AI application into a reliable, secure workflow agent isn’t as simple as plugging in an API. As an engineering leader, it can be challenging to make sense of this evolving landscape, but agent tooling provides such high value that it’s critical we figure out how to move forward.
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 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 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 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: Andrew Skoog, Founder of MachinistX & President of Hexis Representatives
Manufacturing is evolving, and the right technology can empower—not replace—your workforce. Smart automation and AI-driven software are revolutionizing decision-making, optimizing processes, and improving efficiency. But how do you implement these tools with confidence and ensure they complement human expertise rather than override it? Join industry expert Andrew Skoog as he explores how manufacturers can leverage automation to enhance operations, streamline workflows, and make smarter, data-dri
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 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.
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.
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: Frank Taliano
Documents are the backbone of enterprise operations, but they are also a common source of inefficiency. From buried insights to manual handoffs, document-based workflows can quietly stall decision-making and drain resources. For large, complex organizations, legacy systems and siloed processes create friction that AI is uniquely positioned to resolve.
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.
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
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 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.
Speaker: Chris Townsend, VP of Product Marketing, Wellspring
Over the past decade, companies have embraced innovation with enthusiasm—Chief Innovation Officers have been hired, and in-house incubators, accelerators, and co-creation labs have been launched. CEOs have spoken with passion about “making everyone an innovator” and the need “to disrupt our own business.” But after years of experimentation, senior leaders are asking: Is this still just an experiment, or are we in it for the long haul?
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 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
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
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.
Speaker: Ben Epstein, Stealth Founder & CTO | Tony Karrer, Founder & CTO, Aggregage
When tasked with building a fundamentally new product line with deeper insights than previously achievable for a high-value client, Ben Epstein and his team faced a significant challenge: how to harness LLMs to produce consistent, high-accuracy outputs at scale. In this new session, Ben will share how he and his team engineered a system (based on proven software engineering approaches) that employs reproducible test variations (via temperature 0 and fixed seeds), and enables non-LLM evaluation m
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