Sat.Jun 04, 2022 - Fri.Jun 10, 2022

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Learn MLOps with This Free Course

KDnuggets

Learn to train and track your experiments, create ML pipelines, model deployment, monitor the performance in production, and adopt best practices from DevOps.

ML 399
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Top 5 Networking Predictions in 2022

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction on Networking Predictions The last two years were challenging for the whole world. Everything was affected, from business, and government to the economy. Considering network security and privacy, the hybrid working model brings new doubts to mind. In the last two years, […].

professionals

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Trending Sources

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Deep Learning 101: Building diligent systems that understand us

Dataconomy

Deep learning (DL) is the discipline of artificial intelligence (AI) that focuses on intelligent machines’ learning and comprehension ability. Deep learning models are designed inspired by the structure and working principle of the human brain. DL is a critical technology that makes intuitive autonomous systems a reality and generally aims.

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Closer to AGI?

O'Reilly Media

DeepMind’s new model, Gato, has sparked a debate on whether artificial general intelligence (AGI) is nearer–almost at hand–just a matter of scale. Gato is a model that can solve multiple unrelated problems: it can play a large number of different games, label images, chat, operate a robot, and more. Not so many years ago, one problem with AI was that AI systems were only good at one thing.

AI 145
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Optimizing The Modern Developer Experience with Coder

Many software teams have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth. This is where Coder comes in. In our 101 Coder webinar, you’ll explore how cloud-based development environments can unlock new levels of productivity. Discover how to transition from local setups to a secure, cloud-powered ecosystem with ease.

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NLP, NLU, and NLG: What’s The Difference? A Comprehensive Guide

KDnuggets

This article aims to quickly cover the similarities and differences between NLP, NLU, and NLG and talk about what the future for NLP holds.

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All About Restaurant Recommender

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction on Restaurant Recommender This case study covers a very important business problem which is recommender systems. as we are in rapid consumption of content and commodities ordered by online delivery apps. Challenges for these apps increase as they always want to keep […].

More Trending

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Browser share over time

FlowingData

James Eagle used an animated donut chart to show browser share from 1996 to present. I have fond memories of firing up Netscape to punch in a web address I saw in a magazine. It felt like I was opening something top secret. I didn’t realize Internet Explorer took over so quickly. I was born before the world wide web. We can't imagine living without it.

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Python: The programming language of machine learning

KDnuggets

You can't avoid learning Python if you work on machine learning problems. You need to know what other people's code means and you need to convey your ideas to them too.

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Make Amazing Data Science Projects using PyScript.js

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction on PyScript.js It is a front-end framework that enables the use of Python in the browser. It is developed using Emscripten, Pyodide, WASM, and other modern web technologies. Using Python in the browser does not mean that it can replace Javascript. But […]. The post Make Amazing Data Science Projects using PyScript.js appeared first on Analytics Vidhya.

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Neural network-based visual stimuli classification paves the way for early Alzheimer’s diagnosis

Dataconomy

One of the most serious difficulties with Alzheimer’s disease is that it is seldom noticed early on when it may be addressed better. Now, a team of researchers at Kaunas University of Technology (KTU) has begun researching how human-computer interfaces might be modified for people with neurologic problems to identify.

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15 Modern Use Cases for Enterprise Business Intelligence

Large enterprises face unique challenges in optimizing their Business Intelligence (BI) output due to the sheer scale and complexity of their operations. Unlike smaller organizations, where basic BI features and simple dashboards might suffice, enterprises must manage vast amounts of data from diverse sources. What are the top modern BI use cases for enterprise businesses to help you get a leg up on the competition?

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Time splits from a visualization freelancer

FlowingData

Eli Holder shows how he split his freelance time across various projects and categories. With visualization work, a lot of your time is spent doing non-visualization things: As expected, at 16 percent, data wrangling and analysis takes a significant chunk of total time. This includes data prep, which I’ve categorized as fairly mindless data engineering or spreadsheet maneuvering (nine percent) or data pulls (three percent).

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A Structured Approach To Building a Machine Learning Model

KDnuggets

This article gives you a glimpse of how to approach a machine learning project with a clear outline of an easy-to-implement 5-step process.

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Bringing you the Most Exciting Sevilla Football Hackathon

Analytics Vidhya

Introduction What is it about football that distinguishes it from all other sports played worldwide? The game’s obsession has caused its appeal to the public. When major tournaments like FIFA World Cup qualifications, Premier League and Copa Libertadores are held, fans never miss a match. As a result, your chances of betting on these sports […].

Analytics 373
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Creating a human-like AI with metamemory skills is possible, a study finds

Dataconomy

A computer-based evolution strategy employed by a research group from Nagoya University’s Graduate School of Informatics has made a considerable step toward creating a human-like AI with metamemory skills. Human-like AI can be provided with metamemory skills In recent years, significant progress has been made in developing artificial intelligence technology.

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Marketing Operations in 2025: A New Framework for Success

Speaker: Mike Rizzo, Founder & CEO, MarketingOps.com and Darrell Alfonso, Director of Marketing Strategy and Operations, Indeed.com

Though rarely in the spotlight, marketing operations are the backbone of the efficiency, scalability, and alignment that define top-performing marketing teams. In this exclusive webinar led by industry visionaries Mike Rizzo and Darrell Alfonso, we’re giving marketing operations the recognition they deserve! We will dive into the 7 P Model —a powerful framework designed to assess and optimize your marketing operations function.

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Maps of noise

FlowingData

Karim Douïeb, in collaboration with Possible, mapped noise in Paris, New York, and London. The color on each map represents noise level, and if you have your sound on, you can mouse over areas to hear what noise might be like. The project, Noisy Cities, is an adaptation of Douïeb’s previous map of Brussels. You get a good idea of what noise pollution is like geographically.

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How is Data Mining Different from Machine Learning?

KDnuggets

How about we take a closer look at data mining and machine learning so we know how to catch their different ends?

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Text Detection Using CRAFT Text Detector

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Image source: [link] Introduction In this article, we study the “Character region Awareness for Text Detection” model by Clova AI research, Naver Corp. The deep learning-based model provides scene text detection or bounding boxes of text in an image. These bounding boxes can […].

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Hot and on the rise: Data architect jobs explained

Dataconomy

The data architect job description has become one of the most sought-after jobs on the internet. Data-related jobs are on the rise in today’s data-driven world. We have already explained cloud computing job requirements and business intelligence analyst skills in these articles. Data science professionals are in high demand. Large and small businesses want.

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Prepare Now: 2025s Must-Know Trends For Product And Data Leaders

Speaker: Jay Allardyce, Deepak Vittal, and Terrence Sheflin

As we look ahead to 2025, business intelligence and data analytics are set to play pivotal roles in shaping success. Organizations are already starting to face a host of transformative trends as the year comes to a close, including the integration of AI in data analytics, an increased emphasis on real-time data insights, and the growing importance of user experience in BI solutions.

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Cancer and statistics

FlowingData

Hannah Fry works with statistics and risk, but her perspective changed when she was diagnosed with cancer. Fry documented the experience and it’s available on BBC : Hannah Fry, a professor of maths, is used to investigating the world around her through numbers. When she’s diagnosed with cervical cancer at the age of 36, she starts to interrogate the way we diagnose and treat cancer by digging into the statistics to ask whether we are making the right choices in how we treat this dise

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Top Posts May 30 – June 5: 21 Cheat Sheets for Data Science Interviews

KDnuggets

Also: Decision Tree Algorithm, Explained; How to Become a Machine Learning Engineer; The Complete Collection of Data Science Books – Part 2; 15 Python Coding Interview Questions You Must Know For Data Science.

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Deploying Django App on Google Compute Engine

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction on Compute Engine Compute Engine is computing and hosting service that lets you create and run virtual machines on Google infrastructure. It provides an IaaS (Infrastructure-as-a-Service) that allows clients to run their applications on Google’s physical hardware instead of their own hardware […].

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Best cybersecurity practices for staying safe against today’s digital perils

Dataconomy

What are the cybersecurity best practices in 2022? Businesses of all sizes and locations may use the internet to connect with new and larger markets, working more efficiently by employing computer-based technologies. Cybersecurity should be considered whether a firm considers cloud computing or simply utilizing email and maintaining a website.

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The Cloud Development Environment Adoption Report

Cloud Development Environments (CDEs) are changing how software teams work by moving development to the cloud. Our Cloud Development Environment Adoption Report gathers insights from 223 developers and business leaders, uncovering key trends in CDE adoption. With 66% of large organizations already using CDEs, these platforms are quickly becoming essential to modern development practices.

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9 Careers You Could Go into With a Data Science Degree

Smart Data Collective

Are you interested in a career in data science? This is the best time ever to pursue this career track. The Bureau of Labor Statistics reports that there are over 105,000 data scientists in the United States. The average data scientist earns over $108,000 a year. The interdisciplinary field of data science involves using processes, algorithms, and systems to extract knowledge and insights from both structured and unstructured data and then applying the knowledge gained from that data across a wi

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KDnuggets News, June 8: 21 Cheat Sheets for Data Science Interviews; Top 18 Data Science Group on LinkedIn

KDnuggets

21 Cheat Sheets for Data Science Interviews; Top 18 Data Science Group on LinkedIn; A Beginner's Guide to Q Learning; 3 Ways Understanding Bayes Theorem Will Improve Your Data Science; Machine Learning Is Not Like Your Brain Part 3: Fundamental Architecture.

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Introduction to Keycloak

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction In a Technological Era, application security is becoming a much more important concept. In a security principle, we may heard the importance of authorization. Unauthorized access to data can potentially cost a high amount of money. Even rather than money, there […].

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How object storage helps address unstructured data’s increased security risks

Dataconomy

The vast majority of data created today is unstructured – that is, it’s information in many different forms that don’t follow conventional data models. That makes it difficult to store and manage in a standard relational database. And it’s proliferating massively. According to IDC, 80% of all data by 2025.

Database 170
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How to Drive Cost Savings, Efficiency Gains, and Sustainability Wins with MES

Speaker: Nikhil Joshi, Founder & President of Snic Solutions

Is your manufacturing operation reaching its efficiency potential? A Manufacturing Execution System (MES) could be the game-changer, helping you reduce waste, cut costs, and lower your carbon footprint. Join Nikhil Joshi, Founder & President of Snic Solutions, in this value-packed webinar as he breaks down how MES can drive operational excellence and sustainability.

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Embedded Analytics: Should you build or buy?

Tableau

Clayron “Cj” Pace. Product Marketing Manager, Embedded Analytics, Tableau. Bronwen Boyd. June 6, 2022 - 11:36pm. June 7, 2022. Embedding analytics is a way we can help our customers make smarter decisions and achieve greater success. Seamlessly integrating dashboards, visualizations, and reports into end users’ products, apps, and web portals expedites decision-making by putting data and insights where people are already working.

Analytics 116
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Understanding Functions for Data Science

KDnuggets

Most data science problems boil down to finding the mathematical function that describes the relationship between feature and target variables.

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A Complete Guide on Using MongoDB

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. MongoDB is a type of NoSQL database which is open-sourced and widely used in data science and machine learning in form of a database. Hence, knowledge of it is important in the long run, especially in the field of data science and analytics. […]. The post A Complete Guide on Using MongoDB appeared first on Analytics Vidhya.

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Hit the target even if you miss the bullseye: Data accuracy vs precision

Dataconomy

Data accuracy vs precision comparison came. When it comes to data measurements, precision and accuracy are two crucial elements to consider. Both accuracy and precision reflect how close a measurement is to a real value. Still, accuracy focuses on how close a measurement is to a known or accepted value.

Big Data 167
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Improving the Accuracy of Generative AI Systems: A Structured Approach

Speaker: Anindo Banerjea, CTO at Civio & Tony Karrer, CTO at Aggregage

When developing a Gen AI application, one of the most significant challenges is improving accuracy. This can be especially difficult when working with a large data corpus, and as the complexity of the task increases. The number of use cases/corner cases that the system is expected to handle essentially explodes. 💥 Anindo Banerjea is here to showcase his significant experience building AI/ML SaaS applications as he walks us through the current problems his company, Civio, is solving.