Sat.Apr 01, 2023 - Fri.Apr 07, 2023

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Heard on the Street – 4/5/2023

insideBIGDATA

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 459
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Futurist Ray Kurzweil Claims Humans Will Achieve Immortality by 2030

Analytics Vidhya

“Immortality in Just 7 Years,” Predicts Ex-Google Engineer Ray Kurzweil, the man behind some of the most accurate predictions of our time, has made a jaw-dropping claim: “Humans will achieve immortality by 2030!” In a recent YouTube series, the Ex-Google engineer spoke of the incredible advancements in technology that will lead to eternal life.

Analytics 400
professionals

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LangChain 101: Build Your Own GPT-Powered Applications

KDnuggets

LangChain is a Python library that helps you build GPT-powered applications in minutes. Get started with LangChain by building a simple question-answering app.

Python 399
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How User Behaviour Analysis Builds Better Apps

Adrian Bridgwater for Forbes

The use of UX technologies has grown considerably over the last decade, so much so that IT firms now talk about the provision of Digital eXperience Platform (DXP) technology as a means of understanding user application behavior and hopefully making our software better to use.

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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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The Truth Behind Why Most ML Projects Still Fail and What to Do About It

insideBIGDATA

In this special guest feature, Gideon Mendels, CEO and co-founder of Comet ML, dives into why so many ML projects are failing and what ML practitioners and leaders can do to course correct, protect their investments and ensure success.

ML 397
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Deep Learning for Image Segmentation with TensorFlow

Analytics Vidhya

Introduction Image segmentation is a task in computer vision that involves dividing a particular image into multiple segments where each segment represents an object or region in the image. This task is important for applications such as object detection, image recognition, and autonomous driving. TensorFlow is an open-source framework used for building and training machine […] The post Deep Learning for Image Segmentation with TensorFlow appeared first on Analytics Vidhya.

More Trending

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When will GPT 5 be released, and what should you expect from it?

Dataconomy

OpenAI’s ChatGPT is one of the most popular and advanced chatbots available today. Powered by a large language model (LLM) called GPT-4, as you already know, ChatGPT can talk with users on various topics, generate creative content, and even analyze images! But what if ChatGPT could do even more?

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TOP 10 insideBIGDATA Articles for March 2023

insideBIGDATA

In this continuing regular feature, we give all our valued readers a monthly heads-up for the top 10 most viewed articles appearing on insideBIGDATA. Over the past several months, we’ve heard from many of our followers that this feature will enable them to catch up with important news and features flowing across our many channels.

Big Data 396
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Analyzing Data Made Effortless Using ChatGPT

Analytics Vidhya

Introduction Tired of sifting through mountains of analyzing data without any real insights? ChatGPT is here to change the game. With its advanced natural language processing capabilities, ChatGPT can uncover hidden patterns and trends in your data that you never thought possible. In this blog post, we’ll explore how ChatGPT can revolutionize your data with […] The post Analyzing Data Made Effortless Using ChatGPT appeared first on Analytics Vidhya.

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The Future of Work: How AI is Changing the Job Landscape

KDnuggets

With more and more companies integrating artificial intelligence into the workplace, what does this mean for employees' futures and careers?

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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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Flipper Zero banned by Amazon for being a ‘card skimming device’

Hacker News

Amazon has banned the sale of the Flipper Zero portable multi-tool for pen-testers as it no longer allows its sale on the platform after tagging it as a card-skimming device. [.

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Low Codes, High Rewards

insideBIGDATA

In this special guest feature, Jugdip Bath, Xero’s Executive Vice President of Product Engineering, discusses how many businesses are taking advantage of the explosion in low-code development, which are making it possible for non-IT individuals to create applications quickly on their own and at a fraction of the cost.

Big Data 391
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Meta to Commercialize Generative AI by December

Analytics Vidhya

Meta, formerly known as Facebook, has announced plans to commercialize its proprietary generative Artificial Intelligence (AI) technology by December. The company sees generative AI as a critical technology for content creation within the Metaverse. Metaverse is a virtual reality space that Meta is developing. This comes after years of research and development by the tech […] The post Meta to Commercialize Generative AI by December appeared first on Analytics Vidhya.

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My Data Science Six Months Success Story

KDnuggets

I will be sharing a couple of things I have learned in the past six months and tips that helped me stay dedicated and true to my journey in this article.

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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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Terrifying study shows how fast AI can crack your passwords; here’s how to protect yourself

Flipboard

Along with the positive aspects of the new generative AI services come new risks. One that’s surfaced is an advanced approach to cracking passwords called PassGAN. Using the latest AI, it was able to compromise 51% of passwords in under one minute with 71% of passwords cracked in less than a day.

AI 182
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FBI Seizes Bot Shop ‘Genesis Market’ Amid Arrests Targeting Operators, Suppliers

Hacker News

Several domain names tied to Genesis Market , a bustling cybercrime store that sold access to passwords and other data stolen from millions of computers infected with malicious software, were seized by the Federal Bureau of Investigation (FBI) today. Sources tell KrebsOnsecurity the domain seizures coincided with “dozens” of arrests in the United States and abroad targeting those who allegedly operated the service, as well as suppliers who continuously fed Genesis Market with freshly

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The Dark Side of AI Innovation: ChatGPT Bug Exposes User Payment Data

Analytics Vidhya

OpenAI Confirms Security Breaches as Thousands Are Left Vulnerable to Information Leaks In the age of technological marvels, Artificial Intelligence (AI) chatbot, ChatGPT, created by OpenAI, has been a game-changer. ChatGPT offers personalized restaurant recommendations, table bookings, travel arrangements, and even grocery orders. But beneath the awe-inspiring capabilities lies a startling revelation.

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Text Summarization Development: A Python Tutorial with GPT-3.5

KDnuggets

Utilizing the power of GPT-3.5 to develop a simple summarize generator application.

Python 334
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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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How LinkedIn released new ChatGPT-based AI tools in just 3 months

Flipboard

The sprint to develop LinkedIn’s recently-released generative AI tools took only three months, Ya Xu, VP of engineering and head of data and artificial intelligence (AI) told VentureBeat in an interview.

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Why TinyML is still so hard to get excited about

Hacker News

This week, I went to the tinyML Summit in Burlingame, Calif. TinyML, or running small machine learning models on constrained devices, is one of the most exciting technologies I’ve encountered. But it’s also the one most likely to put people to sleep when I talk about it. Using local computing to handle object or even limited face detection, wake word detection, anomaly detection, and more holds the promise of bringing more privacy to the IoT and more sensors to the world, and to give every

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Data Engineering for Streaming Data on GCP

Analytics Vidhya

Introduction Companies can access a large pool of data in the modern business environment, and using this data in real-time may produce insightful results that can spur corporate success. Real-time dashboards such as GCP provide strong data visualization and actionable information for decision-makers. Nevertheless, setting up a streaming data pipeline to power such dashboards may […] The post Data Engineering for Streaming Data on GCP appeared first on Analytics Vidhya.

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5 Essential AI Tools for Data Science

KDnuggets

Learn how Bard, Bing, ChatGPT, GitHub Copilot, and Hugging Face are improving data scientists' work life.

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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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Deep Learning with PyTorch (9-Day Mini-Course)

Flipboard

Last Updated on April 4, 2023 Deep learning is a fascinating field of study and the techniques are achieving world class results in a range of challenging machine learning problems. It can be hard to get started in deep learning.Which library should you use and which techniques should you focus on? In this 9-part crash […] The post Deep Learning with PyTorch (9-Day Mini-Course) appeared first on MachineLearningMastery.com.

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Replacing bad systems with bad systems

Hacker News

A metaphor involving parking meters. Over the years, parking meters in town have evolved into a cumbersome, awkward system. Coins are heavy and you need to have them handy, meters need to be reinforced against theft and breakage, town employees have to empty the coins and securely deliver them to the bank, meter feeding allows local employees to hog spaces that might be used for shoppers… you get the idea.

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Experience the AI-Driven Work Revolution with Aphid’s aClones

Analytics Vidhya

Clone Yourself and Experience the Perfect Work-Life Balance Are you tired of being a slave to the 9 to 5 grind? Dreaming of a life where you can reclaim your time, pursue your passions, and still make a living? Get ready to break free from your monotonous, tiring, workaholic lifestyle and enjoy more time with […] The post Experience the AI-Driven Work Revolution with Aphid’s aClones appeared first on Analytics Vidhya.

AI 289
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Exploring Data Cleaning Techniques With Python

KDnuggets

Tutorial on data cleaning techniques using Python.

Python 389
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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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Anthropic’s $5B, 4-year plan to take on OpenAI

Flipboard

AI research startup Anthropic aims to raise as much as $5 billion over the next two years to take on rival OpenAI and enter over a dozen major industries, according to company documents obtained by TechCrunch. A pitch deck for Anthropic’s Series C fundraising round discloses these and other long-term goals for the company, which was founded in 2020 by former OpenAI researchers.

AI 174
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Opinion: I declined to share my medical data with advertisers at my doctor’s office. One company claimed otherwise

Hacker News

I care deeply about privacy, and as a professional researcher, I take meticulous notes. During my recent maternity leave, I spent most of my hands-free time trying to figure out why my doctors were trying to give my medical data away to advertisers — even after I opted out.

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Bayesian Networks – Probabilistic Neural Network (PNN)

Analytics Vidhya

Introduction Bayesian Networks or statistics form an integral part of many statistical learning approaches. It involves using new evidence to modify the prior probabilities of an event. It uses conditional probabilities to improve the prior probabilities, which results in posterior probabilities. In simple terms, suppose you want to ascertain the probability of whether your friends […] The post Bayesian Networks – Probabilistic Neural Network (PNN) appeared first on Analytics Vidhya.

Analytics 290
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SQuARE: Towards Multi-Domain and Few-Shot Collaborating Question Answering Agents

ODSC - Open Data Science

Editor’s note: Iryna Gurevych, PhD and Haritz Puerto are speakers for ODSC East 2023. Be sure to check out their talk, “ SQuARE: Towards Multi-Domain and Few-Shot Collaborating Question Answering Agents ,” there! Are you fascinated by the power of Question Answering (QA) models but find yourself intimidated by technical challenges? Do you yearn to compare different QA models but dread the time-consuming process of setting them up?

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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 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.