KDnuggets

JUNE 30, 2022

Learn about the standard process for building sustainable machine learning applications.

Machine Learning 400

Machine Learning Machine Learning ML ML 400

Analytics Vidhya

JUNE 20, 2022

This article was published as a part of the Data Science Blogathon. Introduction The loss function is very important in machine learning or deep learning. let’s say you are working on any problem and you have trained a machine learning model on the dataset and are ready to put it in front of your client. […]. The post Understanding Loss Function in Deep Learning appeared first on Analytics Vidhya.

Deep Learning 399

Deep Learning Deep Learning Machine Learning Machine Learning 399

Dataconomy

JUNE 23, 2022

Researchers at Cornell University have developed a technique to assist self-driving cars in recalling past events and utilize them as references while navigating, especially in bad weather when the vehicle’s sensors cannot be trusted. On cars, normally, artificial neural networks are not concerned with memory from the past, and they.

Artificial Intelligence 254

Artificial Intelligence Artificial Intelligence AI AI 254

Smart Data Collective

JUNE 24, 2022

Data analytics technology has helped countless companies improve their marketing strategies. Global companies are spending over $3 billion a year on marketing analytics technology and this figure is growing over 12% a year. There are a lot of different ways that companies can use data analytics to improve their marketing strategies. One of the most effective approaches involves taking advantage of QR codes.

Analytics 145

Analytics Analytics Big Data Big Data 145

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

FlowingData

JUNE 15, 2022

Hands-On Data Visualization , by Jack Dougherty and Ilya Ilyankou, is an open-access book geared for beginners. The book starts with spreadsheets, and then walks you through some of the more high-level JavaScript libraries to put things online relatively quickly. If you don’t have programming experience but want to kick the tires, it’s probably worth saving this for later.

Data Visualization 145

Data Visualization 145

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.

Artificial Intelligence 145

Artificial Intelligence Artificial Intelligence AI AI 145

Analytics Vidhya

JUNE 3, 2022

Dear Readers, I appreciate you coming onto our platform and expanding your knowledge. I am sure, by now, some of you must be interested to make a transition into the Data Science industry as it’s one of the most host-selling jobs (if we can put it that way :D). So, this DataHour session is dedicated […]. The post The DataHour: How to Transition into Data Science?

Data Science 400

Data Science Analytics Analytics 400

Dataconomy

JUNE 21, 2022

Quantum artificial intelligence is here to pave the way for the next chapter of our digital intellect pursuit. Artificial intelligence is a transformative technology, and it needs quantum computing to achieve significant improvement. Although artificial intelligence may be used with conventional computers, it is restricted by conventional computational capabilities.

Artificial Intelligence 254

Artificial Intelligence Artificial Intelligence AI AI 254

Smart Data Collective

JUNE 17, 2022

Global companies spent over $2.83 billion on marketing analytics in 2020. This figure certainly increased in light of the pandemic, as digitization accelerated. Marketing has always been about numbers. Now, those numbers are highly refined, narrowed by algorithms and databases, and processed by people with advanced degrees. Indeed, data and marketing are a match made in heaven, taking much of the guesswork out of a profession that once was as much about luck as it was about creativity.

Data Analysis 145

Data Analysis Data Analysis Analytics Analytics 145

FlowingData

JUNE 2, 2022

Vox, in collaboration with The Pudding, looked at what happens when a song goes viral on TikTok. It heads down the TikTok-to-Spotify pipeline, which signals money to be made and draws labels to take advantage. Tags: music , Pudding , TikTok , viral , Vox.

145

145

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.

AI

KDnuggets

JUNE 27, 2022

If your raw data is in a SQL-based data lake, why spend the time and money to export the data into a new platform for data prep?

SQL 400

SQL Data Preparation Data Lakes 400

KDnuggets

JUNE 21, 2022

Collect validated user behavior data that’s ready to model on without prepwork. Take models built on one dataset and deploy & run them on another.

Analytics 400

Analytics Analytics 400

KDnuggets

JUNE 13, 2022

Gain a beginner's perspective on artificial neural networks and deep learning with this set of 14 straight-to-the-point related key concept definitions.

Deep Learning 400

Deep Learning Deep Learning Machine Learning Machine Learning 400

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.

400

400

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

AI

KDnuggets

JUNE 23, 2022

Essential Linux commands to improve the data science workflow. It will give you the power to automate tasks, build pipelines, access file systems, and enhance development operations.

Data Science 399

Data Science 399

KDnuggets

JUNE 1, 2022

This article has researched and presents the best data science cheat sheets from around the internet, so you don’t have to do it yourself.

Data Science 400

Data Science 400

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.

ML 399

ML ML 399

KDnuggets

JUNE 13, 2022

Learn essential Git commands for versioning and collaborating on data science projects.

Data Scientist 399

Data Scientist Data Science 399

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.

AI

KDnuggets

JUNE 3, 2022

Check out a this article for a better understanding of activation functions.

Deep Learning 399

Deep Learning Deep Learning Machine Learning Machine Learning 399

Analytics Vidhya

JUNE 12, 2022

This article was published as a part of the Data Science Blogathon. Introduction on Quechua In this article, we will create an app for translating Spanish Audio transcriptions to Quechua. We will leverage the Gradio Python package for creating a web interface for the model and deploy our app on Hugging Face Spaces. With the advent […]. The post Translate Spanish Audio transcriptions to Quechua appeared first on Analytics Vidhya.

Data Science 399

Data Science Python Analytics Analytics 399

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.

Machine Learning 399

Machine Learning Machine Learning Python 399

KDnuggets

JUNE 17, 2022

In this tutorial, we are going to list some of the most common algorithms that are used in supervised learning along with a practical tutorial on such algorithms.

Supervised Learning 398

Supervised Learning Algorithm Machine Learning Machine Learning 398

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?

Analytics Vidhya

JUNE 20, 2022

This article was published as a part of the Data Science Blogathon. [link] Introduction How many rows of sample data are required (or what should be the size of the training dataset required) to build a machine learning model that can predict fraudulent transactions in a credit card fraud detection dataset containing around 284407 rows? […]. The post Is Adult Income Dataset Imbalanced?

Machine Learning 398

Machine Learning Machine Learning Data Science Analytics 398

Analytics Vidhya

JUNE 20, 2022

This article was published as a part of the Data Science Blogathon. Introduction If you have been paying close attention to the blockchain industry, then you have undoubtedly been familiar with the words “Web 2.0” and “Web 3.0.” There’s a good chance that you’re confused about the precise meaning of these phrases and how they […].

Data Science 397

Data Science Analytics Analytics 397

KDnuggets

JUNE 22, 2022

Let’s get into some of the expectations of data scientists – and the reality they face.

Data Science 397

Data Science Data Scientist 397

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 […].

Data Science 397

Data Science Analytics Analytics Machine Learning 397

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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.

Machine Learning 394

Machine Learning Machine Learning 394

Analytics Vidhya

JUNE 22, 2022

This article was published as a part of the Data Science Blogathon. Introduction Most people tend to have a very minimal set of information about Alluvial and Sankey diagrams. The reality is that the two diagrams have superficial similarities to each other. On the flip side, the two diagrams are completely different, underlying superficial assumptions. […].

Data Science 393

Data Science Analytics Analytics Data Visualization 393

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 394

Data Science Analytics Analytics Machine Learning 394

Analytics Vidhya

JUNE 3, 2022

This article was published as a part of the Data Science Blogathon. Introduction What is a Load Balancer, and why do we need it? Load Balancer is a must component when we want to scale our systems horizontally. Horizontal scaling means the addition of extra servers and machines to the existing infrastructure so that it […]. The post Use a Load Balancer on Google Cloud to Host Web Applications appeared first on Analytics Vidhya.

Data Science 394

Data Science Analytics Analytics Cloud Computing 394

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!