Analytics Vidhya

JANUARY 3, 2022

This article was published as a part of the Data Science Blogathon. INTRODUCTION Fig 1 – Source: Canva The ongoing Coronavirus disease (COVID-19) outbreak has driven health to the top of the priority in our lives, bringing the entire world to a halt. Since its inception, our way of life has drastically changed. Life is slowly […]. The post COVID-19 Safety Protocol Tracker Using Deep Learning appeared first on Analytics Vidhya.

Deep Learning 319

Deep Learning Data-driven Data Science Publishing 319

DataKitchen

JANUARY 3, 2022

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. Business analysts must rapidly deliver value and simultaneously manage fragile and error-prone analytics production pipelines. Data tables from IT and other data sources require a large amount of repetitive, manual work to be used in analytics.

Business Analytics 245

Business Analytics Analytics Testing Dashboards 245

Analytics Vidhya

JANUARY 3, 2022

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. It helps to predict which word is more likely to appear next in the […]. The post Building Language Models in NLP appeared first on Analytics Vidhya.

Modeling 396

Modeling Statistics Data Science Publishing 396

DataKitchen

JANUARY 3, 2022

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

Data Science 246

Data Science 246

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Visualization

Analytics Vidhya

JANUARY 3, 2022

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. Loading Data Into Big Query Training the model Evaluating the Model Testing the model Summary Shutting down the […].

Machine Learning 375

Machine Learning Testing Data Science Publishing 375

KDnuggets

JANUARY 3, 2022

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.

158

158

KDnuggets

JANUARY 3, 2022

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.

Data Science 160

Data Science 160

Analytics Vidhya

JANUARY 3, 2022

This article was published as a part of the Data Science Blogathon. Data Preprocessing: Data preparation is critical in machine learning use cases. Data Compression is a big topic used in computer vision, computer networks, and many more. Data compression represents our input into a more miniature representation that we recreate to quality. This is a more […].

Recreation/Entertainment 325

Recreation/Entertainment Machine Learning Data Science Publishing 325

Timo Elliott

JANUARY 3, 2022

Back in the 1960s, a pair of radio astronomers were busily collecting data on distant galaxies. They had been doing this for years. Elsewhere, other astronomers had been doing the same. But what set these astronomers apart – and eventually earned them a Nobel Prize – was what they eventually found in the data. Like other radio astronomers, they had long detected a consistent noise pattern.

IT 143

IT Unstructured Data Data Quality Machine Learning 143

KDnuggets

JANUARY 3, 2022

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).

Predictive Modeling 124

Predictive Modeling Visualization Modeling 124

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.

Management

Smart Data Collective

JANUARY 3, 2022

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. In fact, e-commerce and SaaS platforms are part of the reason that the market for AI is projected to be worth $126 billion by 2025.

Testing 119

Testing Data-driven Interactive Technology 119

Dataiku

JANUARY 3, 2022

This episode of the Banana Data Podcast is a special collaboration. We have joined forces with our friends from the Towards Data Science podcast for an exciting, future-focused conversation. Our hosts, joined by Jeremie Harris, host of the Towards Data Science Podcast, explore some of the many what-if’s and potential paths developing alongside AI progress.

Data Processing 59

Data Processing IT Data Science 59

Jen Stirrup

JANUARY 3, 2022

As you may know, I love to read and I thought I’d share more of what I am reading. I am on GoodReads so I can see what my friends are reading, and they inspire me to read more. If you’d like to follow me on GoodReads, click here before the link expires at the end of January 2022. Atomic Habits: An Easy & Proven Way to Build Good Habits & Break Bad Ones by James Clear.

IT 48

IT Business Intelligence 48