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.

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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 400

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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 386

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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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Many software teams have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth. This is where Coder comes in. In our 101 Coder webinar, you’ll explore how cloud-based development environments can unlock new levels of productivity. Discover how to transition from local setups to a secure, cloud-powered ecosystem with ease.

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 297

Cassie Kozyrkov

JANUARY 29, 2023

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

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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 400

Data Engineering Data Engineering Data Engineer Data Engineering 400

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?

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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.

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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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Large enterprises face unique challenges in optimizing their Business Intelligence (BI) output due to the sheer scale and complexity of their operations. Unlike smaller organizations, where basic BI features and simple dashboards might suffice, enterprises must manage vast amounts of data from diverse sources. What are the top modern BI use cases for enterprise businesses to help you get a leg up on the competition?

Business Intelligence

databricks

JANUARY 31, 2023

As IT leaders kick off the new year during one of the most tumultuous times in recent history, CIOs are being forced to.

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AI AI 286

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.

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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 396

Python Data Science 396

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.

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Speaker: Mike Rizzo, Founder & CEO, MarketingOps.com and Darrell Alfonso, Director of Marketing Strategy and Operations, Indeed.com

Though rarely in the spotlight, marketing operations are the backbone of the efficiency, scalability, and alignment that define top-performing marketing teams. In this exclusive webinar led by industry visionaries Mike Rizzo and Darrell Alfonso, we’re giving marketing operations the recognition they deserve! We will dive into the 7 P Model —a powerful framework designed to assess and optimize your marketing operations function.

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 318

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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 […].

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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.

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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

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Speaker: Jay Allardyce, Deepak Vittal, and Terrence Sheflin

As we look ahead to 2025, business intelligence and data analytics are set to play pivotal roles in shaping success. Organizations are already starting to face a host of transformative trends as the year comes to a close, including the integration of AI in data analytics, an increased emphasis on real-time data insights, and the growing importance of user experience in BI solutions.

Business Intelligence

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 398

Machine Learning Machine Learning 398

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 368

Machine Learning Machine Learning Data Science Analytics 368

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 304

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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.

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Data Science 248

Speaker: Nikhil Joshi, Founder & President of Snic Solutions

Is your manufacturing operation reaching its efficiency potential? A Manufacturing Execution System (MES) could be the game-changer, helping you reduce waste, cut costs, and lower your carbon footprint. Join Nikhil Joshi, Founder & President of Snic Solutions, in this value-packed webinar as he breaks down how MES can drive operational excellence and sustainability.

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 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 389

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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 […].

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Data Science Analytics Analytics Algorithm 348

Speaker: Anindo Banerjea, CTO at Civio & Tony Karrer, CTO at Aggregage

When developing a Gen AI application, one of the most significant challenges is improving accuracy. This can be especially difficult when working with a large data corpus, and as the complexity of the task increases. The number of use cases/corner cases that the system is expected to handle essentially explodes. 💥 Anindo Banerjea is here to showcase his significant experience building AI/ML SaaS applications as he walks us through the current problems his company, Civio, is solving.

AI

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.

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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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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).

Database 181

Database 181

insideBIGDATA

JANUARY 14, 2023

In this contributed article, April Miller, a senior IT and cybersecurity writer for ReHack Magazine, discusses how data analytics relies on vast amounts of information from different sources to be effective. The same often goes for AI. Unified analytics consolidates these disparate data sources and analytics pipelines into a single platform, using AI to automate that process.

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Cloud Development Environments (CDEs) are changing how software teams work by moving development to the cloud. Our Cloud Development Environment Adoption Report gathers insights from 223 developers and business leaders, uncovering key trends in CDE adoption. With 66% of large organizations already using CDEs, these platforms are quickly becoming essential to modern development practices.