KDnuggets

MARCH 24, 2022

A tensor is a container which can house data in N dimensions, along with its linear operations, though there is nuance in what tensors technically are and what we refer to as tensors in practice.

Machine Learning 400

Machine Learning Machine Learning 400

Analytics Vidhya

MARCH 22, 2022

This article was published as a part of the Data Science Blogathon. Introduction Keyword extraction is commonly used to extract key information from a series of paragraphs or documents. Keyword extraction is an automated method of extracting the most relevant words and phrases from text input. It is a text analysis method that involves automatically extracting […].

Data Science 397

Data Science Analytics Analytics Python 397

Dataconomy

MARCH 21, 2022

DataOps and DevOps are collaborative approaches between developers and IT operations teams. The trend started with DevOps first. This communication and collaboration approach was then applied to data processing. Both methods argue that collaboration is the primary approach for application development and IT operations teams, but they target different operation.

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DataOps Big Data Big Data Data Science 239

Hacker News

MARCH 25, 2022

If you want to ride the next big wave in AI, grab a transformer. They’re not the shape-shifting toy robots on TV or the trash-can-sized tubs on telephone poles. So, What’s a Transformer Model? A transformer model is a neural network that learns context and thus meaning by tracking relationships in sequential data like the words in this sentence. Transformer models apply an evolving set of mathematical techniques, called attention or self-attention, to detect subtle ways even distant data element

Machine Learning 182

Machine Learning Machine Learning AI AI 182

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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?

AI

KDnuggets

MARCH 22, 2022

Becoming a Data Scientists is an exciting path, but you cannot learn data science within one year or six months—instead, it’s a lifetime process that you have to follow with proper dedication and hard work. To guide your journey, the skills outlined here are the first you must acquire to become a data scientist.

Data Scientist 400

Data Scientist Data Science 400

Analytics Vidhya

MARCH 25, 2022

Overview DataFrame in Python Performing Data Cleaning Operations on the Pandas DataFrame Introduction Undoubtedly, a DataFrame in python is the most important structure used to store the data because it is used in all practical cases to store our given data set which we will be using for creating our models. It is defined under […]. The post Operating on the Pandas DataFrame in Python appeared first on Analytics Vidhya.

Python 386

Python Analytics Analytics 386

DataRobot Blog

MARCH 25, 2022

The 2022 season ignited a world of changes for McLaren Racing and Formula 1 with the biggest reengineering in modern F1 history. Each team now has a budget cap, and significant rule changes have been introduced, altering strategies and adding excitement for the fans. Another change that we’re thrilled about is that DataRobot is one of McLaren’s newest partners.

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Artificial Intelligence Artificial Intelligence Machine Learning Machine Learning 145

KDnuggets

MARCH 25, 2022

Most companies look at it like it’s one big technology, and assume the vendors’ offerings might differ in product quality and price but ultimately be largely the same. Truth is, NLP is not one thing; it’s not one tool, but rather a toolbox.

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Analytics Vidhya

MARCH 25, 2022

This article was published as a part of the Data Science Blogathon. Dear readers, In this blog, we will get introduced to reinforcement learning and also implement a simple example of the same in Python. It will be a basic code to demonstrate the working of an RL algorithm. Brief exposure to object-oriented programming in Python, […]. The post A Hands-on Introduction to Reinforcement Learning with Python appeared first on Analytics Vidhya.

Python 343

Python Data Science Algorithm Analytics 343

Dataconomy

MARCH 22, 2022

There’s no doubt that data scientists are in high demand right now. Companies are looking for people who can help them make sense of all the data they’re collecting and use it to make better decisions. Being a data scientist is a great way to start or further your career.

Data Scientist 214

Data Scientist Data Science 214

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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.

Database

FlowingData

MARCH 23, 2022

Millions of Ukrainians (over three million as of this writing) have left their homes for other countries in a relatively short period of time. Sara Chodosh, Zach Levitt and Gus Wezerek for NYT Opinion put the total as of March 13 into perspective. Over just an 18-day period, Ukraine refugee counts have surpassed counts during those of other refugee crises over one-year periods, since 1975.

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KDnuggets

MARCH 25, 2022

GitHub's Copilot code generation tool is currently only available via approved request. Here are 4 Copilot alternatives that you can use in your programming today.

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Analytics Vidhya

MARCH 22, 2022

Introduction Training a Deep Learning model from scratch can be a tedious task. You have to find the right training weights, get the optimal learning rates, find the best hyperparameters and the architecture that will best suit your data and model. Put it along with not having enough quality data to train and the computational […]. The post Introductory Note to Image Classification Using Fast ai appeared first on Analytics Vidhya.

Deep Learning 344

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Smart Data Collective

MARCH 21, 2022

You have probably heard a lot talk about the Internet of Things (IoT). It is one of the biggest trends driven by big data. It is popular because billions of devices will be connected in the future. The IoT sector is predicted to generate over £7.5 trillion across the world. In fact, McKinsey Global predicts homes, offices, worksites, retail settings, and factories to generate around £3.55 trillion by the end of 2025.

Big Data 135

Big Data Big Data Internet of Things Data Visualization 135

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.

FlowingData

MARCH 22, 2022

Childcare is expensive in the United States. So as you would expect, higher-income households tend to use non-parental childcare more, whereas lower-income households tend more towards only parental care. Here are the percentages, based on 2019 estimates from the National Center for Education Statistics. Read More.

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KDnuggets

MARCH 21, 2022

Linear Regression and Logistic Regression are two well-used Machine Learning Algorithms that both branch off from Supervised Learning. Linear Regression is used to solve Regression problems whereas Logistic Regression is used to solve Classification problems. Read more here.

Supervised Learning 369

Supervised Learning Machine Learning Machine Learning Algorithm 369

Analytics Vidhya

MARCH 25, 2022

Introduction The thriving industry of Data Science is continuously evolving with the technological advancements in Machine Learning and Artificial intelligence. This has opened up whole new avenues for Data Scientists worldwide. Professionals who can handle Big Data and have the necessary knowledge required for understanding, analysing and processing data are in high demand in the […].

Data Science 336

Data Science Artificial Intelligence Artificial Intelligence Data Scientist 336

Smart Data Collective

MARCH 23, 2022

With the advancement of digital technology, electronic signatures (e-signatures) have gained massive acceptance in the business world, where artificial intelligence (AI) further leads its improvements. What Are E-Signatures? E-signatures, or the digitized or scanned version of handwritten signatures, improve business processes, allowing fast signing and approval of documents.

AI 122

AI AI Artificial Intelligence Artificial Intelligence 122

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.

Data Science

Dataversity

MARCH 25, 2022

Enterprise architecture (EA) can be a confusing term. To supply a business executive with a working definition, you might list that EA comprises the business functions, capabilities, processes, roles, physical and organizational structure, data stores and flows, applications, platforms, hardware, and communication. You might throw in any number of impressive acronyms and abbreviations: TOGAF, EIM, […].

Analytics 98

Analytics Analytics 98

KDnuggets

MARCH 23, 2022

CS50's Introduction to Computer Science has the highest enrollment on Harvard's campus. and is free to anyone interested in taking it!

Computer Science 390

Computer Science Computer Science 390

Analytics Vidhya

MARCH 25, 2022

This article was published as a part of the Data Science Blogathon. Introduction In this article, we are going to learn about Decision Tree Machine Learning algorithm. We will build a Machine learning model using a decision tree algorithm and we use a news dataset for this. Nowadays fake news spread is like wildfire and this […]. The post Decision Tree Machine Learning Algorithm Using Python appeared first on Analytics Vidhya.

Decision Trees 330

Decision Trees Machine Learning Machine Learning Algorithm 330

Smart Data Collective

MARCH 22, 2022

Smart home automation has become quite popular in recent years, moving from a luxury for the rich to a staple in many homes. The most popular smart home devices are speakers and thermostats, but a growing number of people are adopting other smart devices like door locks and security cameras. Residential smart home automation has become a massive industry, and it’s not hard to implement.

Machine Learning 120

Machine Learning Machine Learning Algorithm Artificial Intelligence 120

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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.

Analytics

Dataversity

MARCH 24, 2022

As efforts to simplify IT infrastructure through automation are ongoing, the action to pinpoint where complexity resides is key. Data complexity not only complicates the user experience but also wreaks havoc in the backend for administrators and IT decision-makers. As the world of data has grown exponentially and transcended the borders of enterprises, the management of data […].

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KDnuggets

MARCH 23, 2022

ODSC East is less than a month away - here are five reasons why you should attend, such as learning about trending topics, amazing Keynotes, and the AI Expo Hall.

AI 338

AI AI 338

Analytics Vidhya

MARCH 24, 2022

Introduction Given the world’s growing user base across devices and applications in recent years, we have seen a huge surge in not just the volume of data we are collecting but also in the number and variety of sources. The pandemic has certainly accelerated this trend even more and having high quality and consistency […]. The post Get to Know About Modern Data Governance appeared first on Analytics Vidhya.

Data Governance 329

Data Governance Analytics Analytics Data Science 329

Smart Data Collective

MARCH 23, 2022

Keeping your data safe now is more challenging than ever. We keep a lot of our data on hackable devices, such as mobile phones and computers. One weak password or a phishing attack on our emails is enough to breach and expose our information and have it land in the wrong hands. We also give a lot of our information away to various companies and services we use online.

Big Data 120

Big Data Big Data 120

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.

Analytics

Dataversity

MARCH 21, 2022

While data lakes and data warehouses are both important Data Management tools, they serve very different purposes. If you’re trying to determine whether you need a data lake, a data warehouse, or possibly even both, you’ll want to understand the functionality of each tool and their differences. This article will highlight the differences between each and how […].

Data Lakes 98

Data Lakes Data Warehouse Data Governance Data Quality 98

KDnuggets

MARCH 21, 2022

After speaking to co-workers in the data industry who like me, had left their jobs at a very early stage in their career, I’ve come to realize that there are two main reasons the data science field has such a high employee attrition rate.

Data Scientist 318

Data Scientist Data Science 318

Analytics Vidhya

MARCH 23, 2022

Dear Readers, We are happy to bring you yet another exciting webinar for you! Yup, you heard it right! The DataHour Series brings Anastasiia to conduct a webinar on how to stay relevant in the Booming World of AI. We hope, you’re excited and eager to learn new things that we have planned for you […]. The post The DataHour: How to Stay Relevant in the Booming World of AI?

AI 303

AI AI Analytics Analytics 303

Smart Data Collective

MARCH 23, 2022

Advancements in technology have allowed it to store and collect databases in many fields. If we count the number of data on the web, it is probably a number that we have never heard of. However, it’s all about the quality and not the quantity when collecting data. Moreover, some companies are sitting on loads of consumer data and don’t know what to do with it.

Data Mining 119

Data Mining Data Mining Data Mining Database 119

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.