Sat.Dec 25, 2021 - Fri.Dec 31, 2021

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Pokemon Prediction using Random Forest

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Overview This Pokemon will analyze the pokemon dataset and predict whether the Pokemon is legendary based on the features provided. We will discuss everything from scratch; we will go from CSV to model building with line by line explanation of code. Let’s get started. Image […].

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How AI/ML Technology Integration Will Help Business in Achieving Goals in 2022

KDnuggets

AI/ML systems have a wide range of applications in a variety of industries and sectors, and this article highlights the top ways AI/ML will impact your small business in 2022.

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Best Data Visualization Projects of 2021

FlowingData

Phew, just made it. These are my favorite data visualization projects from 2021. Like last year, there were many Covid-related charts on the internets this year. While they are important to gauge the state of things, I found myself veering away from them to focus on other areas. I craved distraction, practical information for the times, and anything outside the bubble.

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Big Data Drives Office Productivity into Overdrive

Smart Data Collective

Big data is playing a massive role in countless industries. It is changing the landscape of commerce as we know it. As we pointed out in the past, it is the key to business growth. We recently interviewed many entrepreneurs to understand their big data priorities. One of the most significant benefits is with office productivity. Many offices are using big data to lift productivity.

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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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A Comprehensive Guide on Deep learning for Computer vision

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Source: Vision Image Overview Deep learning is the most powerful method used to work on vision-related tasks. Convolutional Neural Networks or convents are a type of deep learning model which we use to approach computer vision-related applications. In this guide, we will explore how […].

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Hands-On Reinforcement Learning Course, Part 2

KDnuggets

Continue your learning journey in Reinforcement Learning with this second of two part tutorial that covers the foundations of the technique with examples and Python code.

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Graph: A Must-Have Enterprise Technology in 2022

Dataversity

If 2021 was the year graph technology went mainstream, 2022 will be the year it becomes an enterprise “must-have.” Graph companies have attracted hundreds of millions of dollars in funding this year, as more organizations scale up (and out) with graph. In addition to the usual graph use cases – which include fraud detection, anti-money […]. The post Graph: A Must-Have Enterprise Technology in 2022 appeared first on DATAVERSITY.

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A Guide on Deep Learning: From Basics to Advanced Concepts

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Welcome to my guide! In this guide, we will cover basic as well as advanced topics involved in Deep Learning. This guide will help you in gaining confidence in the concepts of Deep Learning. So let’s begin with our journey! Why do we need […]. The post A Guide on Deep Learning: From Basics to Advanced Concepts appeared first on Analytics Vidhya.

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11 Best Companies to Work for as a Data Scientist

KDnuggets

This list of best data science companies aims to go beyond the usual and expected. Some great and perhaps underrated options to get a job as a data scientist.

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? Visualization Tools and Resources, December 2021 Roundup

FlowingData

Welcome to issue #170 of The Process , the newsletter for FlowingData members on how the charts get made. I’m Nathan Yau, and every month I collect visualization tools and resources to help you make better charts. This is the good stuff for December. Become a member for access to this — plus tutorials, courses, and guides.

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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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Invest in Your Recovery Before Disaster Strikes

Dataversity

In the digital economy, business continuity is inextricably bound to technology. From retail and travel to finance and the public sector, services being moved online and employees working remotely means businesses are more reliant on their digital infrastructure than ever before. While organizations can take steps to protect their digital services from incidents caused by user error, […].

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Text Classification of News Articles

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Introduction A news article discusses current or recent news of either general interest (i.e. daily newspapers) or on a specific topic (i.e. political or trade news magazines, club newsletters, or technology news websites). A news article can include accounts of eyewitnesses to the happening event. […].

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What Makes Python An Ideal Programming Language For Startups

KDnuggets

In this blog, we will discuss what makes Python so popular, its features, and why you should consider Python as a programming language for your startup.

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David Rumsey Map Center, cataloging historical works

FlowingData

The David Rumsey Map Center at Stanford houses hundreds of thousands of maps dating back to the 1500s. Andres Picon for San Francisco Chronicle wrote about the collection : At the heart of that endeavor is the digitization of Rumsey’s vast physical collection, a project he began in the late 1990s when he launched davidrumsey.com , a constantly growing aggregation of about 112,000 digitized historical maps from his personal inventory.

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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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Is Air-Gapped Backup Necessary for Effective Data Protection?

Dataversity

Air-gapped backup is becoming increasingly popular in the backup and disaster recovery (DR) industry. Most backup and DR vendors are already offering it as an integrated feature or in the process of including it in their solution(s). The biggest driver for air-gapping is the increasing number of cyber threats such as ransomware. Ransomware attacks have […].

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Manual for the First Time Users: Google BERT for Text Classification

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Source: huggingface.io Hey Folks! […]. The post Manual for the First Time Users: Google BERT for Text Classification appeared first on Analytics Vidhya.

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4 Reasons Why You Shouldn’t Use Machine Learning

KDnuggets

It's time to learn: machine learning is not a Swiss Army knife.

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Church of the 95% Confidence Interval

FlowingData

This is Hallgrímskirkja , a church in Reykjavík, Iceland. It will now also be known as the Church of the 95% Confidence Interval. The Church of the 95% Confidence Interval #rstats pic.twitter.com/m0gvvu2Dav. — Julien Cloarec (@CloarecJulien) December 5, 2021. Tags: church , humor.

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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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Top Cloud and Cyber Asset Management Trends of 2022

Dataversity

Companies have been racing to mature their technologies and pursue digital transformations in the last few years, as a way to gain or maintain competitive advantage and resilience. This has led to an emerging area of focus: cyber asset management. Organizations are now taking inventory of their IT infrastructure and prioritizing more agile cyber asset […].

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Text Classification using BERT and TensorFlow

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Introduction In 2018, a powerful Transformer-based machine learning model, namely, BERT was developed by Jacob Devlin and his colleagues from Google for NLP applications. BERT is a very good pre-trained language model which helps machines learn excellent representations of text wrt context in many natural […].

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Versioning Machine Learning Experiments vs Tracking Them

KDnuggets

Learn how to improve ML reproducibility by treating experiments as code.

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Covid-19 mortality before and after vaccine eligibility

FlowingData

Denise Lu and Albert Sun for The New York Times show the shifts in Covid-19 deaths among different demographic groups : The change in death rates among groups is starker by race and ethnicity, and the death rate has risen particularly sharply for middle-aged white people. Covid-19 now accounts for a much larger share of all deaths for that group than it did before vaccines were widely available.

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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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The Pros and Cons of Synthetic Data

Dataversity

Data has established itself as one of the most important elements in both business and science. With the advent of big data services, companies can get access to previously unattainable advanced analytics, and researchers can find almost any imaginable dataset to draw insights from. However, all this potential is hindered by ever-pressing data privacy regulations.

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Image Operations in Python with OpenCV: Eroding, Dilation, and more!

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction As we all know, OpenCV is a free open source library used for computer vision and image operations. OpenCV is written in C++ and has thousands of optimized algorithms and functions for various image operations. A lot of real-life operations can be solved […]. The post Image Operations in Python with OpenCV: Eroding, Dilation, and more!

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The Easiest Way to Make Beautiful Interactive Visualizations With Pandas

KDnuggets

Check out these one-liner interactive visualization with Pandas in Python.

Python 371
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World Chess Championship in charts

FlowingData

Magnus Carlsen continued to assert his dominance at the World Chess Championship. FiveThirtyEight broke down Carlsen’s dominance in the final match with Ian Nepomniachtchi with a series of difference charts. In the quick view, you see it was either a draw or a Carlsen win over 11 games. Tags: chess , FiveThirtyEight , Magnus Carlsen.

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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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Explosion in 2021: Our Year in Review

Explosion

The year 2021 is coming to an end, and like the previous year, it was shaped by unique challenges that impacted our work together. For Explosion, it was a very productive year. We found an investor that fits our strategy, we released spaCy v3, the work on Prodigy Teams is in full swing, and the team has grown a lot. So here’s our look back at our highlights of the year 2021.

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Computer Vision to Detect License Number Plate

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Introduction In this fastest era of technology, it is very difficult to stop every vehicle on the road and check its number plate in the search for one criminal car. With the increase in road fraud, the cops are also becoming smarter. They […]. The post Computer Vision to Detect License Number Plate appeared first on Analytics Vidhya.

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3 Tools to Track and Visualize the Execution of Your Python Code

KDnuggets

Avoid headaches when debugging in one line of code.

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xkcd: Unknowable truth

FlowingData

xkcd makes Statistics so fulfilling. George E. P. Box comes to mind. Tags: humor , xkcd.

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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.