Flipboard

OCTOBER 31, 2023

As a data scientist, is it worthwhile leveling up your Python skills? Dive into code comparisons across expertise levels & discover if "good enough" is really enough.

Python 123

Python Data Science Data Scientist 123

insideBIGDATA

NOVEMBER 2, 2023

Welcome to insideBIGDATA’s “Heard on the Street” round-up column! In this regular feature, we highlight thought-leadership commentaries from members of the big data ecosystem. Each edition covers the trends of the day with compelling perspectives that can provide important insights to give you a competitive advantage in the marketplace.

Big Data 406

Big Data Big Data Deep Learning Deep Learning 406

Adrian Bridgwater for Forbes

NOVEMBER 3, 2023

Is the cloud down? Maybe not, the hyperscalers are good at cleaning & balancing SaaS delivery pipes. There may be ghosts in any machine, it’s worth looking inside first.

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Analytics Vidhya

OCTOBER 28, 2023

Introduction The world of data science has numerous candidates with technical expertise, but only a few excel at problem-solving. When it is about communicating and expressing these skills effectively, some people are great at it naturally, while others develop this ability over time. Fortunately, with the advent of tools such as Tableau, you get access […] The post Top 10 Tableau Projects for Data Science appeared first on Analytics Vidhya.

Tableau 325

Tableau Data Science Analytics Analytics 325

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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

Machine Learning Mastery

OCTOBER 31, 2023

In a previous tutorial, we have explored the use of the k-means clustering algorithm as an unsupervised machine learning technique that seeks to group similar data into distinct clusters, to uncover patterns in the data. We have, so far, seen how to apply the k-means clustering algorithm to a simple two-dimensional dataset containing distinct clusters, […] The post K-Means Clustering for Image Classification Using OpenCV appeared first on MachineLearningMastery.com.

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Clustering Machine Learning Machine Learning Algorithm 328

insideBIGDATA

NOVEMBER 3, 2023

In this contributed article, Ryan Stuart is the co-founder and CEO of Kapiche, discusses feedback analytics and how it is a means to unlock deeper customer insights, with five concrete examples of how to use feedback analytics to drive innovation and growth.

Analytics 397

Analytics Analytics Big Data Big Data 397

Analytics Vidhya

OCTOBER 28, 2023

Introduction The water jug problem, also known as the ‘water-pouring problem’ or ‘die hard problem,’ is a classic challenge in artificial intelligence and computer science. This puzzle revolves around measuring a specific quantity of water using multiple jugs, each with varying capacities. It’s not merely a brain teaser; it’s a fundamental problem frequently employed to […] The post What is the Water Jug Problem in AI?

Computer Science 312

Computer Science Computer Science Artificial Intelligence Artificial Intelligence 312

databricks

OCTOBER 30, 2023

Introduction Four months ago, we shared how AMD had emerged as a capable platform for generative AI and demonstrated how to easily and.

AI 356

AI AI ML ML 356

Machine Learning Mastery

NOVEMBER 3, 2023

The OpenCV library comes with a module that implements the k-Nearest Neighbors algorithm for machine learning applications. In this tutorial, you are going to learn how to apply OpenCV’s k-Nearest Neighbors algorithm for the task of classifying handwritten digits. After completing this tutorial, you will know: Several of the most important characteristics of the k-Nearest […] The post K-Nearest Neighbors Classification Using OpenCV appeared first on MachineLearningMastery.com.

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K-nearest Neighbors Machine Learning Machine Learning Algorithm 295

KDnuggets

NOVEMBER 3, 2023

Learn how to tune your model’s hyperparameters using grid search and randomized search. Also learn to implement them in scikit-learn using GridSearchCV and RandomizedSearchCV.

Machine Learning 307

Machine Learning Machine Learning 307

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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.

Database

Analytics Vidhya

OCTOBER 30, 2023

Introduction We talk about AI almost daily due to its growing impact in replacing humans’ manual work. Building AI-enabled software has rapidly grown in a brief time. Enterprises and businesses believe in integrating reliable and responsible AI in their application to generate more revenue. The most challenging part of integrating AI into an application is […] The post Mastering AI Optimization and Deployment with Intel’s OpenVINO Toolkit appeared first on Analytics Vidhya.

AI 309

AI AI Analytics Analytics 309

databricks

OCTOBER 31, 2023

Today we're excited to announce MLflow 2.8 supports our LLM-as-a-judge metrics which can help save time and costs while providing an approximation of.

ML 332

ML ML Data Science 332

Machine Learning Mastery

OCTOBER 29, 2023

When you work with OpenCV, you most often work with images. However, you may find it useful to create animation from multiple images. Chances are that showing images in rapid succession may give you different insight or it is easier to visualize your work by introducing a time axis. In this post, you will see […] The post How to Transform Images and Create Video with OpenCV appeared first on MachineLearningMastery.com.

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KDnuggets

NOVEMBER 2, 2023

For production grade LLM apps, you need a robust data pipeline. This article talks about the different stages of building a Gen AI data pipeline and what is included in these stages.

Data Pipeline 303

Data Pipeline AI AI 303

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.

Analytics Vidhya

NOVEMBER 3, 2023

Introduction The field of artificial intelligence has seen remarkable advancements in recent years, particularly in the area of large language models. LLMs can generate human-like text, summarize documents, and write software code. Mistral-7B is one of the recent large language models that support English text and code generation abilities, and it can be used for […] The post From GPT to Mistral-7B: The Exciting Leap Forward in AI Conversations appeared first on Analytics Vidhya.

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Artificial Intelligence Artificial Intelligence AI AI 296

Adrian Bridgwater for Forbes

OCTOBER 30, 2023

Containers are lightweight packages of your application code with specific versions of programming language runtimes and libraries required to run your software services.

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Machine Learning Mastery

NOVEMBER 1, 2023

Sponsored Content By Travis Addair & Geoffrey Angus If you’d like to learn more about how to efficiently and cost-effectively fine-tune and serve open-source LLMs with LoRAX, join our November 7th webinar. Developers are realizing that smaller, specialized language models such as LLaMA-2-7b outperform larger general-purpose models like GPT-4 when fine-tuned with proprietary […] The post Fast and Cheap Fine-Tuned LLM Inference with LoRA Exchange (LoRAX) appeared first on MachineLe

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KDnuggets

OCTOBER 30, 2023

A comparative overview of data warehouses, data lakes, and data marts to help you make informed decisions on data storage solutions for your data architecture.

Data Lakes 307

Data Lakes Data Warehouse Data Engineering Data Engineer 307

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

Analytics Vidhya

OCTOBER 31, 2023

Introduction Have you ever thought there would be a system where we can predict the efficiency of electric vehicles and that users can easily use that system? In the world of Electric Vehicles, we can predict the efficiency of electric vehicles with extreme accuracy. This concept has now come into the real world, we are […] The post ZenML for Electric Vehicles: From Data to Efficiency Predictions appeared first on Analytics Vidhya.

Analytics 296

Analytics Analytics ML ML 296

databricks

OCTOBER 30, 2023

Last year, we published the Big Book of MLOps, outlining guiding principles, design considerations, and reference architectures for Machine Learning Operations (MLOps). Since.

Machine Learning 254

Machine Learning Machine Learning AI AI 254

Data Science Blog

NOVEMBER 3, 2023

Die Data Science Weiterbildung @ datascientest.com ist eine echte anerkannte berufliche Weiterbildung. Die Zertifizierung wird von der Pariser Universität La Sorbonne ausgestellt. Während Deiner gesamten Data Scientist-Weiterbildung wirst Du an einem Dataprojekt mit einem Umfang von 120 Stunden arbeiten. Ziel ist es, das Gelernte in einem konkreten Bereich anzuwenden und eine erste praktische Erfahrung zu sammeln.

Data Scientist 246

Data Scientist Data Science AWS 246

KDnuggets

NOVEMBER 2, 2023

Dive into KDnuggets Back to Basics: Getting Started in 5 Steps series to help you master Python, SQL, Scikit-learn, PyTorch, and Google Cloud Platform.

SQL 313

SQL Python Data Science 313

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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

Analytics Vidhya

OCTOBER 31, 2023

Introduction Isn’t it amazing that you can create a copy of a person’s voice using artificial intelligence? Voice cloning software with AI has made possible ideas that otherwise seemed far-fetched. From producing audiobooks to creating content for the entertainment industry, voice cloning has something in store for all. Wondering which software can help create human-like […] The post 10 Best Voice Cloning Software of 2023 appeared first on Analytics Vidhya.

Artificial Intelligence 295

Artificial Intelligence Artificial Intelligence Analytics Analytics 295

databricks

NOVEMBER 1, 2023

Whether you’re an NFL fanatic, an alumnus rooting for your alma mater or a super fan just trying to catch a glimpse of T.

ML 311

ML ML 311

Cassie Kozyrkov

OCTOBER 28, 2023

What’s it like to go from being Chief Decision Scientist at Google to being, well… just me?

Data Science 263

Data Science Artificial Intelligence Artificial Intelligence 263

KDnuggets

NOVEMBER 2, 2023

We will explore their use cases, key features, performance metrics, supported programming languages, and more to provide a comprehensive and unbiased overview of each database.

Database 258

Database 258

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

Analytics Vidhya

OCTOBER 31, 2023

OpenAI is releasing a beta version that promises to completely change the way we communicate with this state-of-the-art AI, which is an exciting development for ChatGPT Plus subscribers. Two significant additions to this much-awaited edition are the capability to upload and analyze files as well as multimodal support, which improves the user experience.

Analytics 291

Analytics Analytics AI AI 291

Dataconomy

NOVEMBER 1, 2023

Discover Microsoft’s secret weapon: Project Athena, a groundbreaking endeavor to create custom AI chips. Unveil how these specialized chips will enhance AI capabilities, reduce dependency on third-party providers, and challenge Nvidia’s dominance. Dive into the enigmatic world of Athena and its potential to reshape the future of artificial intelligence.

AI 214

AI AI Artificial Intelligence Artificial Intelligence 214

Hacker News

NOVEMBER 3, 2023

Pairs of viruses where one needs the other to reproduce are well documented, but no one has ever see one virus directly attached to another. "I can’t believe this,” Tagide deCarvalho remembers thinking when she first saw it under the microscope. The work opens up the possibility of finding more examples of this kind of interaction.

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KDnuggets

NOVEMBER 2, 2023

Unlock the Power of SQL in Data Visualization: Master the Art of Preparing Data for Impactful Charts and Graphs.

Data Visualization 308

Data Visualization SQL 308

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.