NLP, NLU, and NLG: What’s The Difference? A Comprehensive Guide
KDnuggets
JUNE 10, 2022
This article aims to quickly cover the similarities and differences between NLP, NLU, and NLG and talk about what the future for NLP holds.
KDnuggets
JUNE 10, 2022
This article aims to quickly cover the similarities and differences between NLP, NLU, and NLG and talk about what the future for NLP holds.
Analytics Vidhya
JUNE 6, 2022
This article was published as a part of the Data Science Blogathon. Introduction In a Technological Era, application security is becoming a much more important concept. In a security principle, we may heard the importance of authorization. Unauthorized access to data can potentially cost a high amount of money. Even rather than money, there […].
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Dataconomy
JUNE 9, 2022
Deep learning (DL) is the discipline of artificial intelligence (AI) that focuses on intelligent machines’ learning and comprehension ability. Deep learning models are designed inspired by the structure and working principle of the human brain. DL is a critical technology that makes intuitive autonomous systems a reality and generally aims.
O'Reilly Media
JUNE 7, 2022
DeepMind’s new model, Gato, has sparked a debate on whether artificial general intelligence (AGI) is nearer–almost at hand–just a matter of scale. Gato is a model that can solve multiple unrelated problems: it can play a large number of different games, label images, chat, operate a robot, and more. Not so many years ago, one problem with AI was that AI systems were only good at one thing.
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.
KDnuggets
JUNE 6, 2022
Learn to train and track your experiments, create ML pipelines, model deployment, monitor the performance in production, and adopt best practices from DevOps.
Analytics Vidhya
JUNE 5, 2022
This article was published as a part of the Data Science Blogathon. Introduction on Compute Engine Compute Engine is computing and hosting service that lets you create and run virtual machines on Google infrastructure. It provides an IaaS (Infrastructure-as-a-Service) that allows clients to run their applications on Google’s physical hardware instead of their own hardware […].
Data Science Current brings together the best content for data science professionals from the widest variety of thought leaders.
Smart Data Collective
JUNE 10, 2022
Are you interested in a career in data science? This is the best time ever to pursue this career track. The Bureau of Labor Statistics reports that there are over 105,000 data scientists in the United States. The average data scientist earns over $108,000 a year. The interdisciplinary field of data science involves using processes, algorithms, and systems to extract knowledge and insights from both structured and unstructured data and then applying the knowledge gained from that data across a wi
KDnuggets
JUNE 6, 2022
You can't avoid learning Python if you work on machine learning problems. You need to know what other people's code means and you need to convey your ideas to them too.
Analytics Vidhya
JUNE 4, 2022
This article was published as a part of the Data Science Blogathon. Introduction on Networking Predictions The last two years were challenging for the whole world. Everything was affected, from business, and government to the economy. Considering network security and privacy, the hybrid working model brings new doubts to mind. In the last two years, […].
Dataconomy
JUNE 10, 2022
One of the most serious difficulties with Alzheimer’s disease is that it is seldom noticed early on when it may be addressed better. Now, a team of researchers at Kaunas University of Technology (KTU) has begun researching how human-computer interfaces might be modified for people with neurologic problems to identify.
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.
FlowingData
JUNE 6, 2022
Eli Holder shows how he split his freelance time across various projects and categories. With visualization work, a lot of your time is spent doing non-visualization things: As expected, at 16 percent, data wrangling and analysis takes a significant chunk of total time. This includes data prep, which I’ve categorized as fairly mindless data engineering or spreadsheet maneuvering (nine percent) or data pulls (three percent).
KDnuggets
JUNE 10, 2022
This article gives you a glimpse of how to approach a machine learning project with a clear outline of an easy-to-implement 5-step process.
Analytics Vidhya
JUNE 10, 2022
This article was published as a part of the Data Science Blogathon. Introduction on PyScript.js It is a front-end framework that enables the use of Python in the browser. It is developed using Emscripten, Pyodide, WASM, and other modern web technologies. Using Python in the browser does not mean that it can replace Javascript. But […]. The post Make Amazing Data Science Projects using PyScript.js appeared first on Analytics Vidhya.
Dataconomy
JUNE 10, 2022
A computer-based evolution strategy employed by a research group from Nagoya University’s Graduate School of Informatics has made a considerable step toward creating a human-like AI with metamemory skills. Human-like AI can be provided with metamemory skills In recent years, significant progress has been made in developing artificial intelligence technology.
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
FlowingData
JUNE 8, 2022
Karim Douïeb, in collaboration with Possible, mapped noise in Paris, New York, and London. The color on each map represents noise level, and if you have your sound on, you can mouse over areas to hear what noise might be like. The project, Noisy Cities, is an adaptation of Douïeb’s previous map of Brussels. You get a good idea of what noise pollution is like geographically.
KDnuggets
JUNE 8, 2022
How about we take a closer look at data mining and machine learning so we know how to catch their different ends?
Analytics Vidhya
JUNE 6, 2022
This article was published as a part of the Data Science Blogathon. Image source: [link] Introduction In this article, we study the “Character region Awareness for Text Detection” model by Clova AI research, Naver Corp. The deep learning-based model provides scene text detection or bounding boxes of text in an image. These bounding boxes can […].
Dataconomy
JUNE 9, 2022
The data architect job description has become one of the most sought-after jobs on the internet. Data-related jobs are on the rise in today’s data-driven world. We have already explained cloud computing job requirements and business intelligence analyst skills in these articles. Data science professionals are in high demand. Large and small businesses want.
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.
FlowingData
JUNE 10, 2022
James Eagle used an animated donut chart to show browser share from 1996 to present. I have fond memories of firing up Netscape to punch in a web address I saw in a magazine. It felt like I was opening something top secret. I didn’t realize Internet Explorer took over so quickly. I was born before the world wide web. We can't imagine living without it.
KDnuggets
JUNE 7, 2022
Think twice before jumping on the data science bandwagon.
Analytics Vidhya
JUNE 8, 2022
Introduction What is it about football that distinguishes it from all other sports played worldwide? The game’s obsession has caused its appeal to the public. When major tournaments like FIFA World Cup qualifications, Premier League and Copa Libertadores are held, fans never miss a match. As a result, your chances of betting on these sports […].
Dataconomy
JUNE 7, 2022
What are the cybersecurity best practices in 2022? Businesses of all sizes and locations may use the internet to connect with new and larger markets, working more efficiently by employing computer-based technologies. Cybersecurity should be considered whether a firm considers cloud computing or simply utilizing email and maintaining a website.
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?
FlowingData
JUNE 6, 2022
Hannah Fry works with statistics and risk, but her perspective changed when she was diagnosed with cancer. Fry documented the experience and it’s available on BBC : Hannah Fry, a professor of maths, is used to investigating the world around her through numbers. When she’s diagnosed with cervical cancer at the age of 36, she starts to interrogate the way we diagnose and treat cancer by digging into the statistics to ask whether we are making the right choices in how we treat this dise
KDnuggets
JUNE 9, 2022
Most data science problems boil down to finding the mathematical function that describes the relationship between feature and target variables.
Analytics Vidhya
JUNE 5, 2022
This article was published as a part of the Data Science Blogathon. Introduction on Restaurant Recommender This case study covers a very important business problem which is recommender systems. as we are in rapid consumption of content and commodities ordered by online delivery apps. Challenges for these apps increase as they always want to keep […].
Dataconomy
JUNE 10, 2022
The vast majority of data created today is unstructured – that is, it’s information in many different forms that don’t follow conventional data models. That makes it difficult to store and manage in a standard relational database. And it’s proliferating massively. According to IDC, 80% of all data by 2025.
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
FlowingData
JUNE 7, 2022
I wondered how common it is for someone to get a divorce. While I’ve touched on the topic before, I’ve never calculated it directly, so I gave it a go. Read More.
KDnuggets
JUNE 7, 2022
Mastery of this intuitive statistical concept will advance your credibility as a decision-maker.
Analytics Vidhya
JUNE 7, 2022
This article was published as a part of the Data Science Blogathon. Introduction on Django The GCP Console is a tool that allows you to manage your Google Cloud Platform, and it addresses your Google Cloud projects and provides a web-based graphical UI. Popular services of Google Cloud: 1. Compute Engine 2. Cloud Storage 3. BigQuery […]. The post Using Google Cloud Services in Django Web Application appeared first on Analytics Vidhya.
Dataconomy
JUNE 10, 2022
Data accuracy vs precision comparison came. When it comes to data measurements, precision and accuracy are two crucial elements to consider. Both accuracy and precision reflect how close a measurement is to a real value. Still, accuracy focuses on how close a measurement is to a known or accepted value.
Speaker: Tamara Fingerlin, Developer Advocate
In this new webinar, Tamara Fingerlin, Developer Advocate, will walk you through many Airflow best practices and advanced features that can help you make your pipelines more manageable, adaptive, and robust. She'll focus on how to write best-in-class Airflow DAGs using the latest Airflow features like dynamic task mapping and data-driven scheduling!
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