Sat.Apr 29, 2023 - Fri.May 05, 2023

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AI might enable us to talk to animals soon. Here's how

Flipboard

As large language models become experts at human speech, they're now shifting their focus to animal communication.

AI 181
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The Best Learning Paths for AI and Data Leadership

Cassie Kozyrkov

How to muscle up on data-related topics quickly Continue reading on Towards Data Science ยป

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The Art of Query Building: Data Problems to SQLย Queries

Analytics Vidhya

Introduction SQL is an important tool for anyone working with data. It will always come in handy if you need to pull relevant information or perform advanced analytics. But have you ever encountered a data problem and had no idea how to write the SQL to solve it? If you have been through it, don’t […] The post The Art of Query Building: Data Problems to SQL Queries appeared first on Analytics Vidhya.

SQL 281
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Heard on the Street โ€“ 5/3/2023

insideBIGDATA

Welcome to insideBIGDATAโ€™s โ€œHeard on the Streetโ€ 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 493
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Navigating the Future: Generative AI, Application Analytics, and Data

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?

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HuggingGPT: The Secret Weapon to Solve Complex AI Tasks

KDnuggets

Get ready to discover the next big thing in AI with HuggingGPT. Read this article to develop an understanding of how it works and how it handles complex AI tasks.

AI 349
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Activation Functions in PyTorch

Machine Learning Mastery

Last Updated on May 3, 2023 As neural networks become increasingly popular in the field of machine learning, it is important to understand the role that activation functions play in their implementation. In this article, you’ll explore the concept of activation functions that are applied to the output of each neuron in a neural network […] The post Activation Functions in PyTorch appeared first on MachineLearningMastery.com.

More Trending

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Why ChatGPT is a Cyber Threat to Businesses

insideBIGDATA

Our friends over at NordVPN discuss that on dark web forums, the number of threads on ChatGPT rose from 37 to 91 in a month, making bot exploitation one of the most popular topics among dark web surfers. Also, ChatGPT and social engineering attacks such as phishing, smishing or pretexting might be easily used to steal valuable information.

Big Data 447
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Bark: The Ultimate Audio Generation Model

KDnuggets

Bark is a versatile audio generation model that supports multi-language, music, voice cloning, and speaker prompts audio generation.

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Enroll in our New Expert-Led Large Language Models (LLMs) Courses on edX

databricks

Enroll in the introductory course on edX today! The course will begin Summer 2023. New Large Language Model Courses with edX As Large.

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Geoffrey Hinton, Godfather of AI Leaves Google, Warns of Potential Dangers Ahead

Analytics Vidhya

Geoffrey Hinton, a pioneer in artificial intelligence (AI) referred to as “the Godfather of AI,” has left Google. He has joined a growing chorus of critics warning of the potential dangers of AI systems. In an interview last week, Dr. Hinton expressed concerns about the technology at the heart of chatbots like ChatGPT and warned […] The post Geoffrey Hinton, Godfather of AI Leaves Google, Warns of Potential Dangers Ahead appeared first on Analytics Vidhya.

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Get Better Network Graphs & Save Analysts Time

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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The 4 Ingredients for Accurate Supply Chain Data Synchronization

insideBIGDATA

In this contributed article, Randy Mercer, VP of Global Products for 1WorldSync, believes that as a brandโ€™s supply chain data responsibility evolves, so do the possibilities for content to provide value. By implementing any of the solutions itemized in the article, brands create a recipe for successfully achieving accurate, seamless supply chain data sharing.

Big Data 396
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What is K-Means Clustering and How Does its Algorithm Work?

KDnuggets

In this article, weโ€™ll cover what K-Means clustering is, how the algorithm works, choosing K, and a brief mention of its applications.

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New Relic Rocks Up Grok, An AI Observability Assistant

Adrian Bridgwater for Forbes

If weโ€™re adding chat AI to the Ops equation at one end and ML enrichment at the other and then mixing the DNA of both throughout the platform (which isnโ€™t how New Relic puts it, but this is pretty much whatโ€™s happening) then we get smarter systems that we can observe, manage and enjoy all the time.

AI 259
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How to Detect and Handle Deepfakes in the Age of AI?

Analytics Vidhya

Artificial intelligence (AI) has brought many advancements in creating media content nearly indistinguishable from that produced by humans. However, while this technology opens up new possibilities for creativity and innovation, it also poses a significant threat: deepfakes. AI can create manipulated images, videos, or audio files known as deepfakes that can be challenging to identify […] The post How to Detect and Handle Deepfakes in the Age of AI?

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Understanding User Needs and Satisfying Them

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.

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Kinetica Announces Conversational Query โ€“ ChatGPT Integration with Analytic Database

insideBIGDATA

Kinetica announced an analytic database to integrate with ChatGPT, ushering in โ€˜conversational querying.โ€™ Users can ask any question of their proprietary data, even complex ones that were not previously known, and receive an answer in seconds. The combination of ChatGPT's front-end interface that converts natural language to Structured Query Language (SQL), and Kinetica's analytic database purpose built for true ad-hoc querying at speed and scale, provides a more intuitive and interactive way of

Database 391
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The Rise of ChatOps/LMOps

KDnuggets

Has there always been a rise in ChatOps and LMOps, or will it happen after the release of ChatGPT and Google Bard?

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The rise of machine learning applications in healthcare

Dataconomy

Machine learning applications in healthcare are rapidly advancing, transforming the way medical professionals diagnose, treat, and prevent diseases. From predicting disease outbreaks to identifying complex medical patterns and helping researchers develop targeted therapies, the potential applications of machine learning in healthcare are vast and varied.

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What is Data Science? A Complete Guide

Analytics Vidhya

Introduction In the modern world, data science(DS) has emerged as one of the most sought-after careers. Fundamentally, it is the art of transforming unstructured data into a usable format and then drawing actionable insights from it. But with technological advancements like machine learning and artificial intelligence, it has become an interdisciplinary area that utilizes computer […] The post What is Data Science?

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Beyond the Basics of A/B Tests: Highly Innovative Experimentation Tactics You Need to Know

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.

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U.S. Hits Z-Library With New Domain Name Seizures

Hacker News

By providing free access to millions of books, Z-Library became the go-to site for many readers in recent years. Z-Library’s very existence was put to the test last November when U.S. law enforcement agencies seized over 200 domain names connected to the site. Two alleged Z-Library operators from Russia were arrested in Argentina as part of a criminal investigation.

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Schedule & Run ETLs with Jupysql and GitHub Actions

KDnuggets

This blog provided you with a comprehensive overview of ETL and JupySQL, including a brief introduction to ETLs and JupySQL. We also demonstrated how to schedule an example ETL notebook via GitHub actions, which allows you to automate the process of executing ETLs and JupySQL from Jupyter.

ETL 276
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AI makes non-invasive mind-reading possible by turning thoughts into text

Flipboard

An AI-based decoder that can translate brain activity into a continuous stream of text has been developed, in a breakthrough that allows a personโ€™s thoughts to be read non-invasively for the first time.

AI 182
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AI Model That Can Translate Brain Activity into Text

Analytics Vidhya

With the advancement in artificial intelligence, newer methods of reading the human mind will be at play in 2023. Scientists at the University of Texas at Austin have announced a breakthrough in non-invasive brain activity mapping. The team has developed an AI model using fMRI that can translate brain activity into text. It uses a […] The post AI Model That Can Translate Brain Activity into Text appeared first on Analytics Vidhya.

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How Embedded Analytics Gets You to Market Faster with a SAAS Offering

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.

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Brain activity of dying people shows signs of near-death experiences

Hacker News

High-frequency brainwaves in specific regions of the brain are thought to be a hallmark of consciousness and memory retrieval โ€“ now they have been recorded in two people as they died01

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Vector and Matrix Norms with NumPy Linalg Norm

KDnuggets

Looking to further your Python linear algebra skills? Learn how to compute vector and matrix norms using NumPyโ€™s linalg module.

Python 271
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How quantum computing could transform everything everywhere, but not all at once

Flipboard

Quantum computing could change our perspective on the cosmos. (Illustration: Harmonia Macrocosmica, 1660 / Microsoft, 2022 / Alan Boyle) What does quantum computing have in common with the Oscar-winning movie “Everything Everywhere All at Once” ? One is a mind-blowing work of fiction, while the other is an emerging frontier in computer science โ€” but both of them deal with rearrangements of particles in superposition that don’t match our usual view of reality.

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CBSE to Introduce AI, Coding and Data Science from Class 6thย 

Analytics Vidhya

The Central Board of Secondary Education (CBSE) has announced plans to introduce cutting-edge technology subjects such as artificial intelligence (AI), coding, and data science into the school curriculum for students in classes VI to VIII. The move departs from the current practice of offering skill subjects only after class XI. Also Read: Introduction to Artificial […] The post CBSE to Introduce AI, Coding and Data Science from Class 6th appeared first on Analytics Vidhya.

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Manufacturing Sustainability Surge: Your Guide to Data-Driven Energy Optimization & Decarbonization

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.

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Big Oil Helped Shape Stanfordโ€™s Latest Climate-Research Focus

Hacker News

By Stephanie M. Lee Illustration by The Chronicle The universityโ€™s sustainability school chose greenhouse-gas removal after input from fossil-fuel executives. Critics say the industryโ€™s involvement is cause for concern.

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The Ultimate Open-Source Large Language Model Ecosystem

KDnuggets

GPT4ALL is a project that provides everything you need to work with state-of-the-art open-source large language models.

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10 ways ChatGPT and generative AI can strengthen zero trust

Flipboard

ChatGPTโ€™s potential to improve cybersecurity and zero trust needs to start with the goal of learning from every breach attempt โ€” and becoming stronger from it.

AI 181
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Anomaly Detection in Credit Card Fraud

Analytics Vidhya

Introduction We live in a world that’s filled with data. Think about it – you probably use multiple online accounts every day, from email to social media to online shopping. But have you ever had a moment where you were using one of these accounts and received a notification on your phone asking if it’s really you trying to […] The post Anomaly Detection in Credit Card Fraud appeared first on Analytics Vidhya.

Analytics 304
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From Developer Experience to Product Experience: How a Shared Focus Fuels Product Success

Speaker: Anne Steiner and David Laribee

As a concept, Developer Experience (DX) has gained significant attention in the tech industry. It emphasizes engineersโ€™ 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.