Sat.Jan 01, 2022 - Fri.Jan 07, 2022

Building Language Models in NLP

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction A language model in NLP is a probabilistic statistical model that determines the probability of a given sequence of words occurring in a sentence based on the previous words.

Data Science and AI Predictions for 2022


The post Data Science and AI Predictions for 2022 first appeared on DataKitchen. News News / PR


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Automate Microsoft Excel and Word Using Python


Integrate Excel with Word to generate automated reports seamlessly. 2021 Aug Tutorials, Overviews Python

What is Privacy Engineering?

The Data Administration Newsletter

Introduction Privacy engineering, as a discrete discipline or field of inquiry and innovation, may be defined as using engineering principles and processes to build controls and measures into processes, systems, components, and products that enable the authorized, fair, and legitimate processing of personal information.

The Essential Supply Chain Network Design Tooling Checklist

Dedicated supply chain network design software is fuelled by intuitive scenario analysis capabilities and powerful mathematical optimization. Answer 10 relevant questions to see if advanced network design & scenario modeling technology can help you.

Diabetes Prediction Using Machine Learning

Analytics Vidhya

This article was published as a part of the Data Science Blogathon.

Trend-Setting Products in Data and Information Management for 2022


The post Trend-Setting Products in Data and Information Management for 2022 first appeared on DataKitchen. News News / PR

More Trending

Top Stories, Dec 20 – Jan 2: 3 Tools to Track and Visualize the Execution of Your Python Code


Also: 6 Predictive Models Every Beginner Data Scientist Should Master; The Best ETL Tools in 2021; Write Clean Python Code Using Pipes; Three R Libraries Every Data Scientist Should Know (Even if You Use Python). 2022 Jan Top Stories Top stories

TOP 10 GitHub Repositories for Data Science

Analytics Vidhya

Introduction Data science is a collaborative scientific field of computing that has grown many folds in recent years and has become the powerhouse behind the business decisions made by organizations in today’s time, be it the FAANG’s or early-stage startups.

DataOps For Business Analytics Teams


Business analysts often find themselves in a no-win situation with constraints imposed from all sides. Their business unit colleagues ask an endless stream of urgent questions that require analytic insights.

AI Underscores Passwordless Authentication Risks for Internet Users

Smart Data Collective

Advances in artificial intelligence have been shaping the state of the Internet for years. One of the biggest changes has been in the arena of cybersecurity. AI technology has been a double-edged sword for the cybersecurity sector.

Risk 98

Omnichannel is Multichannel 2.0

Multichannel and omnichannel marketing are not the same. Many organizations are striving for omnichannel, but it can be a daunting journey—unless you have a map. Download your copy of the ultimate omnichannel guide today!

Learn Deep Learning by Building 15 Neural Network Projects in 2022


Here are 15 neural network projects you can take on in 2022 to build your skills, your know-how, and your portfolio. 2022 Jan Tutorials, Overviews Autoencoder Convolutional Neural Networks Deep Learning LSTM Neural Networks Project

10 Best Data Science Websites to Find Datasets for your Next DS Project

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Are you a Data Science enthusiast or already a Data Scientist who is trying to make his or her portfolio strong by adding a good amount of hands-on projects to your resume?

Dark Data: How to Find It and What to Do with It

Timo Elliot

Like the proverbial man looking for his keys under the streetlight , when it comes to enterprise data, if you only look at where the light is already shining, you can end up missing a lot.

The Fascinating Role of AI in the Evolution of Computer-Aided Designs

Smart Data Collective

Introduction. It is no secret that businesses that are looking to maximize profit in the near future are looking at the role AI can play to unlock potential profits.

Common Use Cases for Mathematical Optimization

What is mathematical optimization and what are some of the most common use cases for across industries? How can this type of prescriptive analytics be applied to lower costs, reduce carbon emissions, and build more resilient supply chains? Find out in this guide.

Hands-on Reinforcement Learning Course Part 3: SARSA


This is part 3 of my hands-on course on reinforcement learning, which takes you from zero to HERO. Today we will learn about SARSA, a powerful RL algorithm. 2022 Jan Tutorials, Overviews Learning Reinforcement Learning


Data Warehouses, Data Marts and Data Lakes

Analytics Vidhya

Introduction All data mining repositories have a similar purpose: to onboard data for reporting intents, analysis purposes, and delivering insights. By their definition, the types of data it stores and how it can be accessible to users differ.

Really, What is Metaverse?

Andrew White

You would be out of step if you didn’t believe the press and hype that metaverse was a hot new thing. After the dust has started to settle and after reading as much as I can find on the topic, I am not so sure there is much to be discussed, yet, that is really new.

The State of Web3 Marketing for Data-Driven Businesses

Smart Data Collective

More businesses are becoming reliant on big data than ever these days. Big data has been especially important for implementing modern marketing strategies. The marketing analytics market is projected to be worth $5.3 billion by 2026 as more marketers discover the benefits of big data technology.

Put Your Data to Work: The Complete Playbook

Turn your data into a competitive advantage. This playbook contains: Exclusive stats, research & insights on how the pandemic affected businesses. A comprehensive “Request For Proposal” (RFP) checklist and an interactive quiz to test your data knowledge.

How I Tripled My Income With Data Science in 18 Months


Over a year ago, I lost my job due to the COVID-19 pandemic. During this this, I taught myself data science and tripled my income. 2021 Oct Tutorials, Overviews Career Advice Data Science Salary

Google Cloud Platform with ML Pipeline: A Step-to-Step Guide

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Table of Contents Introduction Machine Learning Pipeline Data Preprocessing Flow of pipeline 1. Creating the Project in Google Cloud 2. Loading data into Cloud Storage 3.

Top 10 Charts in 2021

The Data Visualisation Catalogue

Another year has passed now and a new set of website statistics for 2021 is here, which will reveal what visualisation reference pages are the most popular.

The Top AI-Based Web Design Trends For 2022

Smart Data Collective

There is no denying the fact that artificial intelligence has become important in the field of web design. A growing number of web developers are using data analytics, AI and other big data tools to make the most out of their strategy.

Guide to Mathematical Optimization & Modeling

What is mathematical optimization and how does it compare to other types of analytics? Which tool should you use to develop optimization applications and scale them across the business? What are best practices for successful adoption? Read now.

What is Transfer Learning?


During transfer learning, the knowledge leveraged and rapid progress from a source task is used to improve the learning and development to a new target task. Read on for a deeper dive on the subject. 2022 Jan Tutorials, Overviews Machine Learning

Machine Learning Algorithms

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Table of Contents 1. Introduction 2. Types of Machine Learning Algorithms 3. Simple Linear Regression 4. Multilinear Regression 5. Logistic Regression 6. Decision Tree 7. SVM 8. KNN 9.

A Guide To The Methods, Benefits & Problems of The Interpretation of Data

Datapine Blog

Table of Contents. 1) What Is Data Interpretation? 2) How To Interpret Data? 3) Why Data Interpretation Is Important? 4) Data Analysis & Interpretation Problems. 5) Data Interpretation Techniques & Methods. 6) The Use of Dashboards For Data Interpretation.

Different Software Testing Strategies When Creating AI Applications

Smart Data Collective

Artificial intelligence has become a lot more important for many industries. There are a lot of companies that use AI technology to streamline certain functions, bolster productivity, fight cybersecurity threats and forecast trends.

The Retailer’s Guide to Marketing Data

Retailers are faced with extraordinary challenges – from changing consumer needs to unpredictable twists & turns in the economy. Learn how innovative retailers use zero-, first-, second-, and third-party data to find their best customers and drive repeat purchases.

SQL Interview Questions for Experienced Professionals


This article will show you what SQL concepts you should know as an experienced professional. 2022 Jan Tutorials, Overviews SQL


Global AI Leader Fractal Becomes Unicorn with US$ 360 Million Investment from TPG

Analytics Vidhya

Fractal, a global provider of artificial intelligence and advanced analytics solutions to Fortune 500® companies, today announced a huge US$ 360 million (~ INR 2700 crores) investment from TPG, a leading global alternative asset firm. The transaction is expected to close by the first quarter of 2022.

“Data is the closest thing to magic in the modern world…”

Timo Elliot

This is a English translation of an article by Thérèse van Bellinghen that first appeared on the SAP News Blog. . Yves Lombaerts, Sales Manager for the Belgian market, picked up our Global Innovation Evangelist Timo Elliott for an interesting ride to SAP’s offices in Brussels.

Encryption Importance in the Age of Data Breaches

Smart Data Collective

People keep receiving dismal news on internet security these days. In 2020, data breaches rose by almost 20% between January and September. Hence, users are increasingly aware of how vital data encryption is to protect their data.

Implementing Supply Chain Network Design

Companies want to maximize service levels, but they also want to cut costs. These goals are often at odds with one another. How do you find the optimum balance? This guide offers hands-on advice that will help you use network design to achieve successful results.