Analytics Vidhya
SEPTEMBER 30, 2021
This article was published as a part of the Data Science Blogathon Introduction I have been associated with Analytics Vidya from the 3rd edition of Blogathon. Unlike hackathons, where we are supposed to come up with a theme-oriented project within the stipulated time, blogathons are different. Blogathons are competitions that are conducted for over a month […].
O'Reilly Media
SEPTEMBER 15, 2021
In June 2021, we asked the recipients of our Data & AI Newsletter to respond to a survey about compensation. The results gave us insight into what our subscribers are paid, where they’re located, what industries they work for, what their concerns are, and what sorts of career development opportunities they’re pursuing. While it’s sadly premature to say that the survey took place at the end of the COVID-19 pandemic (though we can all hope), it took place at a time when restrictions were loose
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Eugene Yan
SEPTEMBER 18, 2021
Why this is the first rule, some baseline heuristics, and when to move on to machine learning.
DeepMind
SEPTEMBER 28, 2021
Our lives are dependent on the weather. At any moment in the UK, according to one study, one third of the country has talked about the weather in the past hour, reflecting the importance of weather in daily life. Amongst weather phenomena, rain is especially important because of its influence on our everyday decisions. Should I take an umbrella? How should we route vehicles experiencing heavy rain?
Speaker: John Mansour
If you're looking to advance your career in product management, there are more options than just climbing the management ladder. Join our upcoming webinar to learn about highly rewarding career paths that don't involve management responsibilities. We'll cover both career tracks and provide tips on how to position yourself for success in the one that's right for you.
Bitext
SEPTEMBER 17, 2021
In previous posts, we have outlined the crucial role of Machine Learning for Analytics (in How to Make Machine Learning more Effective using Linguistic Analysis? ) , and the implications of using Machine Learning for analyzing and structuring text (in How Phrase Structure helps Machine Learning ? ). In a following post, we will explain how Linguistics can complement Machine Learning and how it can be integrated in the same technology stack.
Artificial Intelligence Zone brings together the best content for AI and ML professionals from the widest variety of thought leaders.
Analytics Vidhya
SEPTEMBER 30, 2021
This article was published as a part of the Data Science Blogathon What is Artificial Intelligence We have come a long way in the field of Machine Learning / Deep learning that we are now very much interested in AI (Artificial Intelligence), in this article we are going to introduce you to AI. The short and […]. The post Introduction to Artificial Intelligence for Beginners appeared first on Analytics Vidhya.
Lexalytics
SEPTEMBER 9, 2021
Today I’m excited to share the news that Lexalytics has been acquired by InMoment, the leader in Experience Improvement (XI). If you haven’t already seen the press release it can be viewed here. For nearly two decades, Lexalytics has been a pioneer in structured and unstructured data analytics, translating text into profitable decisions with our natural language processing (NLP), machine learning (ML), and artificial intelligence (AI) solutions for the world’s most customer-centric brands.
Eugene Yan
SEPTEMBER 14, 2021
An overview of system design, candidate retrieval, and ranking, with industry examples.
DeepMind
SEPTEMBER 28, 2021
Our lives are dependent on the weather. At any moment in the UK, according to one study, one third of the country has talked about the weather in the past hour, reflecting the importance of weather in daily life. Amongst weather phenomena, rain is especially important because of its influence on our everyday decisions. Should I take an umbrella? How should we route vehicles experiencing heavy rain?
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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?
Bitext
SEPTEMBER 8, 2021
This post dives into one of the topics of a previous post “ How to Make Machine Learning more effective using Linguistic Analysis “ We referred to the strong points of Machine Learning technology for insight extraction. We also stated that text analysis is not the area where machine learning shines the most. Here we go into some detail on this last statement.
Dlabs.ai
SEPTEMBER 8, 2021
A topic is trending in the world of AI. It’s the question of if AI can now be recognized as an inventor. Put another way, people are asking, “If a machine develops something novel, can it hold a patent?” Historically, the answer would have been a firm, “No.” But two landmark cases — one in South Africa, the other in Australia — have cast new light on the subject.
Analytics Vidhya
SEPTEMBER 25, 2021
This article was published as a part of the Data Science Blogathon Introduction The purpose of this guide is to explore the idea of Maximum Likelihood Estimation, which is perhaps the most important concept in Statistics. If you’re interested in familiarizing yourself with the mathematics behind Data Science, then maximum likelihood estimation is something you can’t […].
fast.ai
SEPTEMBER 2, 2021
Summary : By using better masks, monitoring and improving indoor air quality, and rolling out rapid tests, we could quickly halt the current outbreaks in the Australian states of New South Wales (NSW) and Victoria. If we fail to do so, and open up before 80% of all Australians are vaccinated, we may have tens of thousands of deaths, and hundreds of thousands of children with chronic illness which could last for years.
Speaker: Aarushi Kansal, AI Leader & Author and Tony Karrer, Founder & CTO at Aggregage
Software leaders who are building applications based on Large Language Models (LLMs) often find it a challenge to achieve reliability. It’s no surprise given the non-deterministic nature of LLMs. To effectively create reliable LLM-based (often with RAG) applications, extensive testing and evaluation processes are crucial. This often ends up involving meticulous adjustments to prompts.
Eugene Yan
SEPTEMBER 4, 2021
Focusing on long-term rewards, exploration, and frequently updated item.
DeepMind
SEPTEMBER 16, 2021
We argue that merely using curiosity for fast environment exploration or as a bonus reward for a specific task does not harness the full potential of this technique and misses useful skills. Instead, we propose to shift the focus towards retaining the behaviours which emerge during curiosity-based learning. We posit that these self-discovered behaviours serve as valuable skills in an agent’s repertoire to solve related tasks.
Bitext
SEPTEMBER 3, 2021
Text analysis is becoming a pervasive task in many business areas. Machine Learning is the most common approach used in text analysis, and is based on statistical and mathematical models. Linguistic approaches , which are based on knowledge of language and its structure, are far less frequently used. These two approaches are often seen as alternative or competing approaches.
Explosion
SEPTEMBER 1, 2021
Since founding Explosion in 2016, we’ve run the company as a profitable business. This stable platform has helped spaCy grow to one of Python’s most popular open-source projects. We’ve funded spaCy from sales of our annotation tool Prodigy , which we’ve now sold to over 500 companies, with thousands of customers in total. The next step for Explosion is Prodigy Teams: a hosted version that adds collaboration and production stability features, while maintaining the data privacy and programmability
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Learn how to optimize email deliverability and drive greater email ROI. What lands your email in the customer’s inbox? Understanding those factors, otherwise known as email deliverability, is critical to getting the most return on your campaign investments. But the “rules” around which factors land you in the spam folder aren’t always easy to keep up with.
Analytics Vidhya
SEPTEMBER 24, 2021
This article was published as a part of the Data Science Blogathon Image 1 Introduction In this article, I will use the YouTube Trends database and Python programming language to train a language model that generates text using learning tools, which will be used for the task of making youtube video articles or for your blogs. […]. The post Building a Machine Learning Model for Title Generation appeared first on Analytics Vidhya.
fast.ai
SEPTEMBER 24, 2021
If you haven’t already read the terrible New Yorker long covid article, I don’t recommend doing so. Here is the letter I sent to the editor. Feel free to reuse or modify as you like. The below are just a subset of the many issues with the article. If you are looking for a good overview of long covid and patient advocacy, please instead read Ed Yong’s Long-Haulers Are Fighting for their Future.
Revolutions
SEPTEMBER 27, 2021
by Hong Ooi This article is a lightly-edited version of the "Microsoft365R and Shiny" vignette in the latest Microsoft365R release. We describe how to incorporate Microsoft365R and interactive authentication with Azure Active Directory (AAD) into a Shiny web app. There are a few steps involved: Register your app with AAD Use the app ID to authenticate and get an OAuth token Pass the token to the Microsoft365R functions App registration The default Microsoft365R app registration only wo
DeepMind
SEPTEMBER 16, 2021
We argue that merely using curiosity for fast environment exploration or as a bonus reward for a specific task does not harness the full potential of this technique and misses useful skills. Instead, we propose to shift the focus towards retaining the behaviours which emerge during curiosity-based learning. We posit that these self-discovered behaviours serve as valuable skills in an agent’s repertoire to solve related tasks.
Speaker: Jay Black, Senior Account Executive
Let's set the record straight: in-store retail isn't dead - it's evolving! Faced with the digital age and the demands of omnichannel shopping, some retailers are thriving while others are struggling to adapt. Join Jay Black in this exclusive session as he explores the strategies that set successful stores apart, including: Crafting unique and unforgettable in-store experiences 🛍️ Mastering the art of retail demands 🛒 Navigating inventory challenges in today's climate 📦 an
Analytics Vidhya
SEPTEMBER 15, 2021
This article was published as a part of the Data Science Blogathon Introduction Data is present everywhere. Any action we perform generates some or the other form of data. But this data might not be present in a structured form. A beginner starting with the data field is often trained for datasets in standard formats like […]. The post How to Extract Tabular Data from Doc files Using Python?
Analytics Vidhya
SEPTEMBER 28, 2021
This article was published as a part of the Data Science Blogathon Introduction Because of its simplicity and ease of learning, Python has become very popular these days. It is used for various activities such as data science, machine learning, web development, scripting, automation, etc. Python is one of the most demanding skills for data scientists. […].
Analytics Vidhya
SEPTEMBER 10, 2021
This article was published as a part of the Data Science Blogathon Introduction I have been using Pandas with Python and Plotly to create some of the most stunning dashboards for my projects. In recent times, I have switched to learning Excel as it was a prerequisite in every company I had to apply to. I […]. The post How to Create Stunning and Interactive Dashboards in Excel?
Analytics Vidhya
SEPTEMBER 8, 2021
This article was published as a part of the Data Science Blogathon Introduction We all know the phrase: “Every picture can tell us a story” There could be a lot of information hidden inside an image and we could interpret it in different ways and perspectives. So, what is an image, and how to deal with […]. The post A Beginner’s Guide to Image Processing With OpenCV and Python appeared first on Analytics Vidhya.
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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.
Analytics Vidhya
SEPTEMBER 22, 2021
This article was published as a part of the Data Science Blogathon In this guide, I will share a detailed deep-dive of what is sampling, what are sampling techniques, and the industry use cases. As you know, fundamental to Data Science is getting good quality sample data. We always derive population parameters from the sample. Our […]. The post A Complete Guide on Sampling Techniques for Data Science appeared first on Analytics Vidhya.
Analytics Vidhya
SEPTEMBER 10, 2021
This article was published as a part of the Data Science Blogathon Introduction You may be frequently using Google Assistant or Apple’s Siri or even Amazon Alexa to find out quick answers on the web or to simply command something. These AI assistants are well known for understanding our speech commands and performing the desired tasks. They quickly respond to […].
Analytics Vidhya
SEPTEMBER 3, 2021
This article was published as a part of the Data Science Blogathon What if you could simply talk or converse with a computer just the way you talk to a human? Sounds impressive, doesn’t it? Natural Language Processing helps us do just that! Natural language processing (NLP) can be thought of as an intersection of Linguistics, […]. The post Essential Text Pre-processing Techniques for NLP!
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