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 399

Machine Learning Machine Learning 399

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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Deep Learning Deep Learning 342

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Generative AI is upending the way product developers & end-users alike are interacting with data. Despite the potential of AI, many are left with questions about the future of product development: How will AI impact my business and contribute to its success? What can product managers and developers expect in the future with the widespread adoption of AI?

AI

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

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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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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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

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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KDnuggets

JANUARY 23, 2023

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

Data Science 399

Data Science Deep Learning Deep Learning Machine Learning 399

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Many organizations today are unlocking the power of their data by using graph databases to feed downstream analytics, enahance visualizations, and more. Yet, when different graph nodes represent the same entity, graphs get messy. Watch this essential video with Senzing CEO Jeff Jonas on how adding entity resolution to a graph database condenses network graphs to improve analytics and save your analysts time.

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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.

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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.

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AI AI Big Data Big Data 448

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 324

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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: Scott Sehlhorst

We know we want to create products which our customers find to be valuable. Whether we label it as customer-centric or product-led depends on how long we've been doing product management. There are three challenges we face when doing this. The obvious challenge is figuring out what our users need; the non-obvious challenges are in creating a shared understanding of those needs and in sensing if what we're doing is meeting those needs.

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 277

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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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.

Decision Trees 322

Decision Trees Algorithm Analytics Analytics 322

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 276

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

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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Deep Learning Deep Learning Python 181

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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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?

AI 314

AI AI Analytics Analytics 314

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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SQL Data Science 276

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Start-ups & SMBs launching products quickly must bundle dashboards, reports, & self-service analytics into apps. Customers expect rapid value from your product (time-to-value), data security, and access to advanced capabilities. Traditional Business Intelligence (BI) tools can provide valuable data analysis capabilities, but they have a barrier to entry that can stop small and midsize businesses from capitalizing on them.

Analytics

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).

Database 181

Database 181

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 314

Machine Learning Machine Learning Analytics Analytics 314

KDnuggets

JANUARY 24, 2023

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

Machine Learning 313

Machine Learning Machine Learning 313

Speaker: Kevin Kai Wong, President of Emergent Energy Solutions

In today's industrial landscape, the pursuit of sustainable energy optimization and decarbonization has become paramount. Manufacturing corporations across the U.S. are facing the urgent need to align with decarbonization goals while enhancing efficiency and productivity. Unfortunately, the lack of comprehensive energy data poses a significant challenge for manufacturing managers striving to meet their targets.

Analytics

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.

Artificial Intelligence 181

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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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 309

KDnuggets

JANUARY 26, 2023

Become familiar with some of the most popular Python libraries available for hyperparameter optimization.

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Python Machine Learning Machine Learning 272

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.