Sat.Feb 04, 2023 - Fri.Feb 10, 2023

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Will Artificial Intelligence Predict Your Next PR lead?

insideBIGDATA

In this contributed article, Stephen Marcinuk, Co-founder and Head of Operations at Intelligent Relations, explores the current state of play of AI technology in the PR industry, how can AI help predict future stories/ interactions, and the pros and cons of using AI for journalist interactions.

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Learn the basics of computer vision by building a self-driving toy car

Data Science Dojo

In this blog post, we will explore the technology behind self-driving toy cars and how computer vision can be used to enable them to navigate their environment. We will discuss the various computer vision techniques that can be implemented, including thresholding, edge detection, blob detection, optical flow, and machine learning. Self-driving cars have been a hot topic in the technological world for quite some time now.

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Deep Residual Learning for Image Recognition (ResNet Explained)

Analytics Vidhya

Introduction Deep learning has revolutionized computer vision and paved the way for numerous breakthroughs in the last few years. One of the key breakthroughs in deep learning is the ResNet architecture, introduced in 2015 by Microsoft Research. In this article, we will discuss the ResNet architecture and its significance in the field of computer vision. […] The post Deep Residual Learning for Image Recognition (ResNet Explained) appeared first on Analytics Vidhya.

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Interview – Business Intelligence und Process Mining ohne Vendor Lock-in!

Data Science Blog

Das Format Business Talk am Kudamm in Berlin führte ein Interview mit Benjamin Aunkofer zum Thema “Business Intelligence und Process Mining nachhaltig umsetzen”. In dem Interview erklärt Benjamin Aunkofer , was gute Business Intelligence und Process Mining ausmacht und warum Unternehmen in jedem Fall daran arbeiten sollten, den gefürchteten Vendor Lock-In zu vermeiden, der gerade insbesondere bei Process Mining droht, jedoch leicht vermeidbar ist.

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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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Learning How to Use ChatGPT to Learn Python (or anything else)

KDnuggets

Let's learn how ChatGPT can help us learn about Python. or really anything at all.

Python 400
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Google unveils its experimental conversational AI service Bard

Dataconomy

The long-awaited debut of Google AI Bard finally happened. We previously shared with you that the tech giant is working on Google Apprentice Bard AI. Just days after the news, Google Code Red alarm seems to be paying off with a little name change.

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More Trending

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Release candidate: Godot 4.0 RC 1

Hacker News

The wait is almost over! With Godot 4.0 coming close to stable, we finalize our efforts to fix the remaining critical issues and add the last coat of polish with the first Release Candidate.

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KDnuggets Survey: Benchmark with your peers on industry spend and trends

KDnuggets

KDnuggets and its partners have just released a Spend & Trends survey to provide you the opportunity to benchmark with your peers on how folks are spending and the mindsets around current trends.

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IoT and machine learning: Walking hand in hand towards smarter future

Dataconomy

IoT machine learning has revolutionized the way businesses operate, by transforming vast amounts of data into actionable insights and decision-making tools. The era of technology is constantly evolving, with new advancements appearing almost every day.

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Web3: Breaking the Chains of Centralized Content Distribution

Analytics Vidhya

Introduction Web3 has the potential to revolutionize the way content is created, distributed, and monetized. Using decentralized blockchain technology, Web3 enables secure, censorship-resistant distribution of content and fairer revenue distribution for creators. The emergence of Web3 content platforms is changing the landscape, but adoption faces challenges such as user adoption and technology limitations.

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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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Five Predictions for the Future of Learning in the Age of AI 

Flipboard

When OpenAI released its chatbot ChatGPT last year, proponents were quick to announce the death of various writing-related fields, such as screenwriting, computer programming, and music composition. One particular field stood out as a sector that would feel the power … The post Five Predictions for the Future of Learning in the Age of AI appeared first on Andreessen Horowitz.

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Linear Programming 101 for Data Scientists

KDnuggets

This post provides an overview of topics in linear programming, history, and recent advances, software packages, common problem specifications, and a case study using Toronto shelters data and the PuLP software package.

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Digital transformation in manufacturing: An overview

Dataconomy

The digital transformation in manufacturing represents a significant opportunity to improve operational efficiency, reduce costs, and enhance the customer experience. The manufacturing industry is undergoing a profound transformation driven by rapid advances in technology and the growing demand for more efficient, sustainable, and data-driven operations.

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Types of Cloud Computing Platforms

Analytics Vidhya

Introduction Explore the exciting world of cloud computing! This blog post will overview the different cloud platform types, their benefits, and their uses. Everyone, from beginners to experts, will be able to gain insight into the types of cloud computing platforms that best fits their needs. Gather the information you need to make the best […] The post Types of Cloud Computing Platforms appeared first on Analytics Vidhya.

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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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The profound danger of conversational AI

Flipboard

When researchers contemplate the risks that AI poses to human civilization, we often reference the “control problem.” This refers to the possibility that an artificial super-intelligence could emerge that is so much smarter than humans that we quickly lose control over it.

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SQL and Python Interview Questions for Data Analysts

KDnuggets

Walking you through the most important SQL and Python technical concepts and four interview questions to practice for the Data Analyst position.

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Study finds mushrooms magnify memory by boosting nerve growth

Hacker News

Researchers from The University of Queensland have discovered the active compound from an edible mushroom that boosts nerve growth and enhances memory.

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Scratch Detection Using Mask RCNN & Yolov5

Analytics Vidhya

Introduction This project focuses on Car Scratch Detection, in sync with the development of autonomous quality inspection systems for different types of products. For example, in a parking lot, such detection provides the client with the assurance that their car will be safe and sound; also, if something happens, the detection system will be useful […] The post Scratch Detection Using Mask RCNN & Yolov5 appeared first on Analytics Vidhya.

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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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Building a Regression Model in PyTorch

Flipboard

PyTorch library is for deep learning. Some applications of deep learning models are to solve regression or classification problems. In this post, you will discover how to use PyTorch to develop and evaluate neural network models for regression problems. After completing this post, you will know: How to load data from scikit-learn and adapt it […] The post Building a Regression Model in PyTorch appeared first on MachineLearningMastery.com.

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Making Intelligent Document Processing Smarter: Part 1

KDnuggets

This article attempts to measure the effect of various noises present in scanned documents on the performance of various APIs in the OCR segment.

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Founder Intuition vs. Team Expertise vs. Customer Expertise

Hacker News

When founders of startups start to hire employees to work on various parts of the business, it tends to be uneasy for both the founder and the employee early on. The founder may have done that job in some capacity before they hired for it, but they are not an expert. The incoming employee may bring more expertise, but they don’t know the business yet.

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Different Ways to Make 5G Services Better Using AI

Analytics Vidhya

Introduction When 3G got launched in India and worldwide, we were happy that at least YouTube videos would play decently. When 4G was released, video calls & web meetings became a reality. What does 5G hold next for us? – we all are excited to know! But something that we don’t realize easily is that – […] The post Different Ways to Make 5G Services Better Using AI 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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Generative AI: The Next Consumer Platform

Flipboard

We’ve entered the age of generative AI. The use cases are everywhere—from writing essays to creating comics to editing films —and adoption has outpaced every consumer tech trend of the past decade. Text generator ChatGPT surpassed 1 million users in … The post Generative AI: The Next Consumer Platform appeared first on Andreessen Horowitz.

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Optimizing Python Code Performance: A Deep Dive into Python Profilers

KDnuggets

In this article, we will take an in-depth look at the profilers in Python to assist in optimizing the performance of our code.

Python 271
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Finland’s Most-Wanted Hacker Nabbed in France

Hacker News

Julius “Zeekill” Kivimäki, a 25-year-old Finnish man charged with extorting a local online psychotherapy practice and leaking therapy notes for more than 22,000 patients online, was arrested this week in France. A notorious hacker convicted of perpetrating tens of thousands of cybercrimes, Kivimäki had been in hiding since October 2022, when he failed to show up in court and Finland issued an international warrant for his arrest.

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Top Rarely Used Pandas Function In 2023 One Should Know

Analytics Vidhya

Introduction When it comes to data preparation using Python, the term which comes to our mind is Pandas. No, not the one whom you see happily munching away on bamboo and lazily somersaulting. Well, a library for prepping up the data for further analysis. Be it finding out which columns need to be removed or which […] The post Top Rarely Used Pandas Function In 2023 One Should Know 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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Use PyTorch Deep Learning Models with scikit-learn

Flipboard

The most popular deep learning libraries in Python for research and development are TensorFlow/Keras and PyTorch, due to their simplicity. The scikit-learn library, however, is the most popular library for general machine learning in Python. In this post, you will discover how to use deep learning models from PyTorch with the scikit-learn library in Python. […] The post Use PyTorch Deep Learning Models with scikit-learn appeared first on MachineLearningMastery.com.

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Python Function Arguments: A Definitive Guide

KDnuggets

Learn all about positional and keyword arguments, default and variable number of arguments in Python functions.

Python 271
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Windows 11: a spyware machine out of users' control?

Hacker News

How much data is a Windows operating system sending to online servers? According to a recent video from The PC Security Channel (TPCSC), the most up-to-date version of the Redmond OS is a real "talker" when it comes to telemetry and other data about users' preferences and online behavior.

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Most Essential 2023 Interview Questions on Data Engineering

Analytics Vidhya

Introduction Data engineering is the field of study that deals with the design, construction, deployment, and maintenance of data processing systems. The goal of this domain is to collect, store, and process data efficiently and efficiently so that it can be used to support business decisions and power data-driven applications. This includes designing and implementing […] The post Most Essential 2023 Interview Questions on Data Engineering appeared first on Analytics Vidhya.

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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.