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

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.

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Azure Data Science Data Pipeline Data Engineering 370

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 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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Python Database Analytics Analytics 353

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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have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth.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.

insideBIGDATA

JANUARY 25, 2023

In this contributed article, Rishabh Poddar, Ph.D., CEO and Co-Founder of Opaque Systems, points out that $300 billion of the world’s most valuable data remains untapped due to the lack of a secure processing environment. With new tools and technology emerging, businesses need to know how to securely tap into their data and achieve business scalability.

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Big Data Big Data 544

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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Analytics Vidhya

JANUARY 27, 2023

Introduction There are many emerging trends in the tech world, and Machine Learning is one of them. Machine Learning is a subset of Artificial Intelligence where a computer learns from data and analyses its patterns to predict an outcome. Usually, Machine Learning models are trained on big chunks of data to analyze the patterns where […] The post How is TinyML Used for Embedding Smaller Systems?

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Machine Learning Machine Learning Artificial Intelligence Artificial Intelligence 337

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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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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KDnuggets

JANUARY 23, 2023

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

Data Science 398

Data Science Deep Learning Deep Learning Machine Learning 398

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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

Analytics Vidhya

JANUARY 23, 2023

Introduction The sigmoid function is a fundamental component of artificial neural networks and is crucial in many machine-learning applications. This blog post will dive deep into the sigmoid function and explore its properties, applications, and implementation in code. Source: Pixabay First, let’s start with the basics. The sigmoid function is a mathematical function that maps […] The post Why is Sigmoid Function Important in Artificial Neural Networks?

Machine Learning 341

Machine Learning Machine Learning Analytics Analytics 341

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

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

KDnuggets

JANUARY 24, 2023

This article explores the knapsack problem. We will discuss why it is difficult to solve traditionally and how genetic programming can help find a "good enough" solution. We will then look at a Python implementation of this solution to test out for ourselves.

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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.

Analytics Vidhya

JANUARY 21, 2023

Introduction Hi everyone! I hope by now you are familiar with linear and logistic regression. In those algorithms, the major disadvantage is that it has to be linear, and the data needs to follow some assumption. For example, 1. Homoscedasticity 2. multicollinearity 3. No auto-correlation and so on. But, In the Decision tree, we don‘t […] The post Step-by-Step Working of Decision Tree Algorithm appeared first on Analytics Vidhya.

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Decision Trees Algorithm Analytics Analytics 341

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 270

Deep Learning Deep Learning 270

Dataconomy

JANUARY 23, 2023

Supply chain professionals believe that artificial intelligence will be a “game changer” for their industry. Supply chain management is a critical aspect of business operations that involves planning, coordinating, and controlling the movement of goods and services from suppliers to customers.

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KDnuggets

JANUARY 23, 2023

JupyterHub is a multi-user, container-friendly version of the Jupyter Notebook. However, it can be difficult to setup. This blog post will make you less likely to run into issues in this 15+ step process.

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AWS 282

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

Analytics Vidhya

JANUARY 27, 2023

Introduction Effective data management is crucial for organizations of all sizes and in all industries because it helps ensure the accuracy, security, and accessibility of data, which is essential for making good decisions and operating efficiently. Properly organizing and maintaining your data can help ensure that it is accurate and up to date. This is important […] The post How is AI Improving the Data Management Systems?

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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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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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KDnuggets

JANUARY 27, 2023

In this article, we will give a list of commonly asked SQL interview questions to help you prepare for your coming technical interview.

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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.

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 336

Machine Learning Machine Learning Analytics Analytics 336

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.

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Artificial Intelligence Artificial Intelligence Machine Learning Machine Learning 182

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

KDnuggets

JANUARY 24, 2023

Learn about machine learning libraries for building and deploying machine learning models.

Machine Learning 342

Machine Learning Machine Learning 342

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.

Analytics Vidhya

JANUARY 24, 2023

Introduction Statistical models are significant for understanding and predicting complex data. You can see patterns and relationships and make accurate predictions about future values. A viable area for statistical modeling is time-series analysis. Time series data are collected over time and can be found in various fields such as finance, economics, and technology.

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Analytics Analytics Python Machine Learning 324

Flipboard

JANUARY 23, 2023

The bot’s performance on the test has “important implications for business school education," wrote Christian Terwiesch, a professor at the University of Pennsylvania’s Wharton School.

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Artificial Intelligence Artificial Intelligence Machine Learning Machine Learning 181

Hacker News

JANUARY 27, 2023

Early in his career, Kevin Mitnick successfully hacked California law. He told me the story when he heard about my new book , which he partially recounts his 2012 book, Ghost in the Wires. The setup is that he just discovered that there’s warrant for his arrest by the California Youth Authority, and he’s trying to figure out if there’s any way out of it.

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KDnuggets

JANUARY 27, 2023

Best oversampling techniques for the imbalanced data.

Machine Learning 309

Machine Learning Machine Learning 309

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.

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