insideBIGDATA

JANUARY 26, 2023

We asked our friends over at Interactions to do a deep dive into their technology. Mahnoosh Mehrabani, Ph.D., Interactions' Sr. Principal Scientist shared some fascinating information about how Interactions' Intelligent Virtual Assistants (IVAs) leverage advanced natural language understanding (NLU) models for "speech recognition" and "advanced machine learning.

Machine Learning 544

Machine Learning Machine Learning AI AI 544

KDnuggets

JANUARY 20, 2023

Is ChatGPT useful for Python programmers, specifically those of us who use Python for data processing, data cleaning, and building machine learning models? Let's give it a try and find out.

Python 399

Python Machine Learning Machine Learning 399

Analytics Vidhya

JANUARY 8, 2023

Introduction Welcome to the world of MLOps, or Machine Learning Operations! If you’re an industry specialist looking to understand MLOps and how it can benefit your organization, then you’re at the right place. MLOps, or Machine Learning Operations, is a set of practices and techniques that enables an organization to effectively build, deploy, and manage […].

Machine Learning 387

Machine Learning Machine Learning Analytics Analytics 387

Machine Learning Mastery

JANUARY 30, 2023

Designing a deep learning model is sometimes an art. There are a lot of decision points and it is not easy to tell what is the best. One way to come up with a design is by trial and error and evaluating the result on real data. Therefore, it is important to have a scientific […] The post How to Evaluate the Performance of PyTorch Models appeared first on MachineLearningMastery.com.

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Deep Learning Deep Learning 353

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.

Data Science

databricks

JANUARY 26, 2023

This is a collaborative post from Databricks and wisecube.ai. We thank Vishnu Vettrivel, Founder, and Alex Thomas, Principal Data Scientist, for their contributions.

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Data Lakes Data Scientist 276

Cassie Kozyrkov

JANUARY 29, 2023

Let’s take a Midjourney around the world Continue reading on Towards Data Science »

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Data Science AI AI Artificial Intelligence 343

KDnuggets

JANUARY 9, 2023

Data-driven organizations require complex collaboration between data teams and business stakeholders. Here are 4 proactive tips for reducing information asymmetries and achieving better collaboration.

Data Engineering 399

Data Engineering Data Engineer Data Engineering Data Engineering 399

Analytics Vidhya

JANUARY 20, 2023

Introduction Machine learning has become an essential tool for organizations of all sizes to gain insights and make data-driven decisions. However, the success of ML projects is heavily dependent on the quality of data used to train models. Poor data quality can lead to inaccurate predictions and poor model performance. Understanding the importance of data […] The post What is Data Quality in Machine Learning?

Data Quality 377

Data Quality Machine Learning Machine Learning ML 377

Machine Learning Mastery

JANUARY 26, 2023

Last Updated on January 27, 2023 The PyTorch library is for deep learning. Deep learning, indeed, is just another name for a large scale neural network or multilayer perceptron network. In its simplest form, multilayer perceptrons are a sequence of layers connected in tandem. In this post, you will discover the simple components you can […] The post Building Multilayer Perceptron Models in PyTorch appeared first on MachineLearningMastery.com.

Deep Learning 338

Deep Learning Deep Learning 338

Dataconomy

JANUARY 19, 2023

The AI drawing hands issue has been going on for so long that it has now become a running joke. If you don’t know yet, spoiler alert: AI can’t draw human hands or feet properly. AIs that can convert words to images appear miraculous.

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AI AI Artificial Intelligence Artificial Intelligence 254

Speaker: Anne Steiner and David Laribee

As a concept, Developer Experience (DX) has gained significant attention in the tech industry. It emphasizes engineers’ efficiency and satisfaction during the product development process. As product managers, we need to understand how a good DX can contribute not only to the well-being of our development teams but also to the broader objectives of product success and customer satisfaction.

Hacker News

JANUARY 26, 2023

By offering free access to millions of ‘paywalled’ research papers, Sci-Hub is often described as “The Pirate Bay of Science”. The site is used by researchers from all over the world to access papers they otherwise have a hard time accessing. For some, the site is essential to their work. Major academic publishers such as Elsevier, Wiley, and American Chemical Society are not happy with the rogue research library.

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insideBIGDATA

JANUARY 17, 2023

The team here at insideBIGDATA is deeply entrenched in keeping the pulse of the big data ecosystem of companies from around the globe. We’re in close contact with the movers and shakers making waves in the technology areas of big data, data science, machine learning, AI and deep learning. Our in-box is filled each day with new announcements, commentaries, and insights about what’s driving the success of our industry so we’re in a unique position to publish our quarterly IMPACT 50 List.

Big Data 482

Big Data Big Data Deep Learning Deep Learning 482

KDnuggets

JANUARY 3, 2023

Matplotlib is the most famous and commonly used plotting library in Python. It allows you to create clear and interactive visualizations that make your data easier to understand and your results more concrete.

Python 399

Python Data Science 399

Analytics Vidhya

JANUARY 13, 2023

This article was published as a part of the Data Science Blogathon. Introduction This is a multiclass classification project to classify the severity of road accidents into three categories. This project is based on real-world data, and the dataset is also highly imbalanced. There are three types of injuries in a target variable: minor, severe, […].

Machine Learning 369

Machine Learning Machine Learning Data Science Analytics 369

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.

AI

Machine Learning Mastery

JANUARY 21, 2023

Last Updated on January 23, 2023 PyTorch is a deep learning library. Just like some other deep learning libraries, it applies operations on numerical arrays called **tensors**. In the simplest terms, tensors are just multidimensional arrays. When we are dealing with the tensors, there are some operations that are used very often. In PyTorch, there […] The post Manipulating Tensors in PyTorch appeared first on MachineLearningMastery.com.

Deep Learning 335

Deep Learning Deep Learning 335

Dataconomy

JANUARY 12, 2023

Chinchilla AI is yet another example of AI language model, claimed to outperform GPT-3. Yes, you heard right. The engine behind the ChatGPT is outperformed by DeepMind’s new language model. The news spread rapidly, and soon everyone wondered: “What is Chinchilla AI?” Are you one of them? You came to the right place. As always, we continue […].

AI 254

AI AI Artificial Intelligence Artificial Intelligence 254

Hacker News

JANUARY 26, 2023

Contributed by Florian Hardwig Source: www.worthpoint.com License: All Rights Reserved. In the six decades since the publication of the original Dune novel in 1965, the science fiction franchise has gone through many different typographic identities. Notable examples include the use of Giorgio for the British paperbacks by NEL (c. 1968) and Albertus for David Lynch’s movie adaptation (1984).

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Database 181

insideBIGDATA

JANUARY 27, 2023

ClearML, a leading open source, end-to-end MLOps platform, announced wide availability of its new, in-depth research report, MLOps in 2023: What Does the Future Hold? Polling 200 U.S.-based machine learning decision makers, the report examines key trends, opportunities, and challenges in machine learning and MLOps (machine learning operations).

Machine Learning 475

Machine Learning Machine Learning Big Data Big Data 475

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KDnuggets

JANUARY 24, 2023

Effective solutions exist when you don't have enough data for your models. While there is no perfect approach, five proven ways will get your model to production.

Machine Learning 400

Machine Learning Machine Learning 400

Analytics Vidhya

JANUARY 25, 2023

Introduction Redis OM is a widely used in-memory database deployed as a cache or database and message broker. It is well-suited for high-performance, real-time applications that need low-latency data access. Redis supports several data types, including strings, lists, sets, and hyperloglogs. Redis-py is one of the most used Redis Clients for python to access the Redis […] The post Introduction to Redis OM in Python appeared first on Analytics Vidhya.

Python 349

Python Database Analytics Analytics 349

Machine Learning Mastery

JANUARY 15, 2023

Last Updated on January 18, 2023 A single-layer neural network, also known as a single-layer perceptron, is the simplest type of neural network. It consists of only one layer of neurons, which are connected to the input layer and the output layer. In case of an image classifier, the input layer would be an image […] The post Building an Image Classifier with a Single-Layer Neural Network in PyTorch appeared first on MachineLearningMastery.com.

Deep Learning 335

Deep Learning Deep Learning 335

Dataconomy

JANUARY 5, 2023

In the current digital landscape, companies are increasingly reliant on technology and data to guide their operations and inform their decision-making processes, thus CRM (Customer Relationship Management) data is pretty important. Among various forms of data, customer relationship management data is particularly important in helping businesses comprehend and serve their clients.

Data Science 248

Data Science 248

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Analytics

Flipboard

JANUARY 27, 2023

PyTorch is a powerful Python library for building deep learning models. It provides everything you need to define and train a neural network and use it for inference. You don’t need to write a lot of code to get all these done. In this pose, you will discover how to create your first deep learning […] The post Develop Your First Neural Network with PyTorch, Step-by-Step appeared first on MachineLearningMastery.com.

Deep Learning 181

Deep Learning Deep Learning Python 181

insideBIGDATA

JANUARY 25, 2023

In this special guest feature, Adnan Masood, PhD, Chief AI Architect, UST, believes the ultimate goal of conversational AI is to let people interact naturally with business services through these interfaces, facilitating human-machine interaction, and he's hopeful that we are on a path to achieving this.

AI 448

AI AI Big Data Big Data 448

KDnuggets

JANUARY 4, 2023

Check out this solid plan for learning Data Science, Machine Learning, and Deep Learning. The entire plan is currently available at no cost to KDnuggets readers.

Deep Learning 374

Deep Learning Deep Learning Machine Learning Machine Learning 374

Analytics Vidhya

JANUARY 2, 2023

This article was published as a part of the Data Science Blogathon. Introduction You’re probably here because you’re confused about the difference between backpropagation and gradient descent. And you’re not the only one. Many beginners are often confused about the difference between gradient descent and backpropagation. This confusion arises because of how interconnected backpropagation and […].

Data Science 344

Data Science Analytics Analytics Algorithm 344

Speaker: David Bard, Principal at VP Product Coaching

In the fast-paced world of digital innovation, success is often accompanied by a multitude of challenges - like the pitfalls lurking at every turn, threatening to derail the most promising projects. But fret not, this webinar is your key to effective product development! Join us for an enlightening session to empower you to lead your team to greater heights.

Machine Learning Mastery

JANUARY 23, 2023

Last Updated on January 24, 2023 We usually use PyTorch to build a neural network. However, PyTorch can do more than this. Because PyTorch is also a tensor library with automatic differentiation capability, you can easily use it to solve a numerical optimization problem with gradient descent. In this post, you will learn how PyTorch […] The post Using Autograd in PyTorch to Solve a Regression Problem appeared first on MachineLearningMastery.com.

Deep Learning 308

Deep Learning Deep Learning 308

Dataconomy

JANUARY 4, 2023

Google Muse AI is the latest additon from the tech giant to a swarm of AI tools we have been seeing lately. The new text-to-image transformer model claims to be quicker than competing methods, because it uses parallel decoding and a compact, discrete latent space. According to its developers, Google Muse AI can produce images […].

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AI AI Artificial Intelligence Artificial Intelligence 247

Flipboard

JANUARY 24, 2023

“Write an article on ‘What is payment gateway?’” I recently typed into a ChatGPT window. ChatGPT, an artificial intelligence-powered writing generator, quickly obliged. The result was impressive.

Artificial Intelligence 182

Artificial Intelligence Artificial Intelligence Machine Learning Machine Learning 182

insideBIGDATA

JANUARY 19, 2023

In this special guest feature, Amy Groden-Morrison, VP of Marketing and Sales Operation for Alpha Software, examines the business value low-code developers offer and the challenges low-code development solves. A common misconception about low-code developers is that they’re not skilled enough to develop high-value apps with advanced features. However, prominent research suggests quite the contrary.

Big Data 416

Big Data Big Data Analytics Analytics 416

Speaker: Jon Harmer, Product Manager for Google Cloud

Move from feature factory to customer outcomes and drive impact in your business! This session will provide you with a comprehensive set of tools to help you develop impactful products by shifting from output-based thinking to outcome-based thinking. You will deepen your understanding of your customers and their needs as well as identifying and de-risking the different kinds of hypotheses built into your roadmap.