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 31, 2023

Kickstart your Machine Learning career with these curated GitHub repositories.

Machine Learning 400

Machine Learning Machine Learning 400

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 399

Machine Learning Machine Learning Analytics Analytics 399

Data Science Dojo

JANUARY 31, 2023

Big data is conventionally understood in terms of its scale. This one-dimensional approach, however, runs the risk of simplifying the complexity of big data. In this blog, we discuss the 10 Vs as metrics to gauge the complexity of big data. When we think of “ big data ,” it is easy to imagine a vast, intangible collection of customer information and relevant data required to grow your business.

Big Data 370

Big Data Big Data Data Mining Data Mining 370

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

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.

Deep Learning 360

Deep Learning Deep Learning 360

Cassie Kozyrkov

JANUARY 29, 2023

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

Data Science 353

Data Science AI AI Artificial Intelligence 353

KDnuggets

JANUARY 26, 2023

Impress your friends and loved ones by perfecting your ChatGPT prompt engineering game with this incredibly useful resource.

Natural Language Processing 400

Natural Language Processing 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?

Data Quality 397

Data Quality Machine Learning Machine Learning ML 397

Data Science Dojo

JANUARY 22, 2023

In this blog, we will discuss exploratory data analysis, also known as EDA, and why it is important. We will also be sharing code snippets so you can try out different analysis techniques yourself. So, without any further ado let’s dive right in. What is Exploratory Data Analysis (EDA)? “The greatest value of a picture is when it forces us to notice what we never expected to see.

Exploratory Data Analysis 370

Exploratory Data Analysis EDA Data Analysis Data Analysis 370

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.

Data Lakes 344

Data Lakes Data Scientist 344

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?

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 332

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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 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 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 395

Machine Learning Machine Learning Data Science Analytics 395

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!

Data Science Dojo

JANUARY 27, 2023

Data Science Dojo is offering Airbyte for FREE on Azure Marketplace packaged with a pre-configured web environment enabling you to quickly start the ELT process rather than spending time setting up the environment. What is an ELT pipeline?  An ELT pipeline is a data pipeline that extracts (E) data from a source, loads (L) the data into a destination, and then transforms (T) data after it has been stored in the destination.

Azure 365

Azure Data Science Data Pipeline Data Engineering 365

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.

AI 299

AI AI 299

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 325

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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 476

Machine Learning Machine Learning Big Data Big Data 476

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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.

KDnuggets

JANUARY 23, 2023

Get your hands on these gems to learn Python, data analytics, machine learning, and deep learning.

Data Science 400

Data Science Deep Learning Deep Learning Machine Learning 400

Analytics Vidhya

JANUARY 25, 2023

Introduction Source – mccinnovations.com Do you ever wonder how companies develop and train machine learning models without experts? Well, the secret is in the field of Automated Machine Learning (AutoML). AutoML simplifies the process of building and tuning machine learning models for organizations to harness the power of […] The post The Future of Machine Learning: AutoML appeared first on Analytics Vidhya.

Machine Learning 361

Machine Learning Machine Learning Analytics Analytics 361

Data Science Dojo

JANUARY 13, 2023

In this blog, we will discuss the latest 6 projects that can escalate your data science career and boost your data science portfolio in a competitive era. With modern analytics tools becoming easier than ever, one needs to do something more than being able to train a model or plot a graph to stand out from the crowd. While using these tools is easier than ever, building something that is impactful and of good quality is not easy and takes practice.

Data Science 307

Data Science Natural Language Processing Analytics Analytics 307

databricks

JANUARY 30, 2023

Databricks Notebooks offers a simple, unified environment for anyone building Data and AI products. Today we are excited to introduce updates to the.

Python 264

Python AI AI 264

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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

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.

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Deep Learning Deep Learning 322

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 450

AI AI Big Data Big Data 450

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

Python Machine Learning Machine Learning 400

Analytics Vidhya

JANUARY 9, 2023

This article was published as a part of the Data Science Blogathon. Introduction Source: [link] Imagine you’re a member of an elite team of experts tasked with understanding and communicating with a group of alien robots. These robots have landed on Earth and are causing destruction and chaos, and it’s up to you to fathom […]. The post Top 11 Interview Questions About Transformer Networks appeared first on Analytics Vidhya.

Data Science 356

Data Science Analytics Analytics Data Engineering 356

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.

Adrian Bridgwater for Forbes

JANUARY 12, 2023

We don’t just need more intelligence, we need it according to specific vectors. Key among those vectors are AI at scale, AI that is validated, secured and bias-free (aka explainable AI) and AI engines that are capable of computation analysis in real-time.

AI 258

AI AI Big Data Big Data 258

databricks

JANUARY 31, 2023

This is a collaborative post from Databricks and MIT. We thank Cesar Terrer, Assistant Professor at MIT, Civil and Environmental Engineering Department (CEE).

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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 313

Deep Learning Deep Learning 313

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.

Analytics 418

Analytics Analytics AI AI 418

Speaker: Jay Allardyce, Deepak Vittal, Terrence Sheflin, and Mahyar Ghasemali

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