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

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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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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 397
professionals

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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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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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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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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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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.

More Trending

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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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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, […].

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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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 […].

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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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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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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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5 Trends Shaping Enterprise Identity Management

Dataversity

The $13 billion identity management market has been a popular area of investment in recent years, and for good reason. Cloud adoption, remote working environments, and the sheer number of business applications in use has opened new entry points for attackers. In response, a new wave of solutions and features has emerged to address identity. We’re […].

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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 […].

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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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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.

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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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Now available in Tableau 2022.2—Data Stories, autosave, in-product Exchange, Metrics and Prep enhancements, and more

Tableau

Michael Hetrick. Senior Manager, Product Marketing, Tableau. Spencer Czapiewski. June 8, 2022 - 4:44pm. June 29, 2022. The latest version of Tableau is now available for customers! Tableau 2022.2 delivers new capabilities that make data easier for everyone to use, including more efficient data prep and faster analysis. This release includes the first wave of product innovations announced at Tableau Conference 2022.

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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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Must-haves on Your Data Science Resume

KDnuggets

Recruiters look at a resume for 7.4 seconds before making a decision on the candidate. So that means you have basically less than 10 seconds to make a good impression. 10 seconds is not a lot of time; especially when you really want this job.

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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.

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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.