Analytics Vidhya

MAY 22, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction Deep Learning is a very powerful tool that has now. The post Pneumonia Prediction: A guide for your first CNN project appeared first on Analytics Vidhya.

Deep Learning 343

Deep Learning Data Science Publishing Analytics 343

Domino Data Lab

JULY 9, 2019

Chris Wiggins , Chief Data Scientist at The New York Times, presented “Data Science at the New York Times” at Rev. Wiggins also indicated that data science, data engineering, and data analysis are different groups at The New York Times. Session Summary. Transcript. Feel free to email me.

Data Science 112

Data Science Machine Learning Advertising Modeling 112

KDnuggets

JULY 29, 2019

This free ebook is a great resource for data science beginners, providing a good introduction into Python, coding with Raspberry Pi, and using Python to building predictive models.

Predictive Modeling 76

Predictive Modeling Data Science Modeling 76

Sisense

APRIL 10, 2020

One of the most-asked questions from aspiring data scientists is: “What is the best language for data science? People looking into data science languages are usually confused about which language they should learn first: R or Python. NLP can be used on written text or speech data. R or Python?”.

Deep Learning 98

Deep Learning Data Science Machine Learning Visualization 98

O'Reilly on Data

SEPTEMBER 19, 2023

While data scientists were no longer handling Hadoop-sized workloads, they were trying to build predictive models on a different kind of “large” dataset: so-called “unstructured data.” And it was good. For a few years, even. But then we hit another hurdle. Things fall off after that.

Machine Learning 253

Machine Learning Testing Modeling Cost-Benefit 253

Domino Data Lab

SEPTEMBER 18, 2019

Models are at the heart of data science. Data exploration is vital to model development and is particularly important at the start of any data science project. If interested in running the examples, there is a complementary Domino project available. Introduction.

Visualization 99

Visualization Interactive Machine Learning Data Science 99

Domino Data Lab

AUGUST 22, 2019

Many thanks to Addison-Wesley Professional for providing the permissions to excerpt “Natural Language Processing” from the book, Deep Learning Illustrated by Krohn , Beyleveld , and Bassens. The excerpt covers how to create word vectors and utilize them as an input into a deep learning model. and 2.6) [ in the book].

Deep Learning 111

Deep Learning Modeling Metrics Testing 111

Domino Data Lab

AUGUST 20, 2019

Many thanks to AWP Pearson for the permission to excerpt “Manual Feature Engineering: Manipulating Data for Fun and Profit” from the book, Machine Learning with Python for Everyone by Mark E. We discussed this as far back as Chapter 1 [in the book]. There is also a complementary Domino project available.

Testing 68

Testing Modeling Interactive Measurement 68

Depict Data Studio

SEPTEMBER 17, 2019

advanced techniques like applying data visualization principles to reports, slideshows, infographics, and dashboards. I checked out books from the library. Chris Lysy is a professional data designer and illustrator constantly exploring the overlap between contemporary design practice, digital communications, and data science.

Visualization 40

Visualization Consulting Dashboards Reporting 40

Domino Data Lab

OCTOBER 23, 2019

As Domino is committed to supporting data scientists and accelerating research, we reached out to Addison-Wesley Professional (AWP) Pearson for the appropriate permissions to excerpt “Predicting Social-Media Influence in the NBA” from the book, Pragmatic AI: An Introduction to Cloud-Based Machine Learning by Noah Gift.

Statistics 59

Statistics Machine Learning Testing Modeling 59

O'Reilly on Data

MAY 18, 2020

All predictive models are wrong at times?—just As the renowned statistician George Box once quipped , “All models are wrong, but some are useful.” And that’s just related to existing laws on the books. We’re such proponents of interpretability that one of us even wrote an e-book on the subject.)

Risk 361

Risk Modeling Data Processing Software 361

Smarten

APRIL 19, 2022

They can analyze how product opinions change over time and understand sentiments to improve the response to product reviews, movie or book reviews, advertising campaigns, Amazon product reviews, social media tweets and comments, news headlines media content, and more.

Slice and Dice 59

Slice and Dice Business Intelligence Advertising Predictive Modeling 59

FineReport

MARCH 31, 2024

Efficiency and Productivity: Through automated reporting and data visualization, BI tools streamline processes, mitigate manual data handling, and bolster employee productivity. Moreover, the integration of BI with data science augments its potential, enabling the automation of report generation and democratizing data discovery.

Dashboards 52

Dashboards Visualization Data mining Data-driven 52

Data Science and Beyond

JANUARY 8, 2017

This package is maintained by Cameron Davidson-Pilon of Shopify, who may be known to some readers from his Bayesian Methods for Hackers book and other Python packages. The rise of data science increases the availability of statistical and scientific tools to small and large businesses.

Statistics 100

Statistics Predictive Modeling Modeling Marketing 100

Jet Global

MAY 9, 2024

Data pipelines are designed to automate the flow of data, enabling efficient and reliable data movement for various purposes, such as data analytics, reporting, or integration with other systems. There are many types of data pipelines, and all of them include extract, transform, load (ETL) to some extent.

Data Lake 52

Data Lake Data Warehouse Business Intelligence Machine Learning 52

Jet Global

SEPTEMBER 1, 2023

Data-Driven Decision Making: Embedded predictive analytics empowers the development team to make informed decisions based on data insights. By integrating predictive models directly into the application, developers can provide real-time recommendations, forecasts, or insights to end-users.

Predictive Analytics 52

Predictive Analytics Risk Analytics Software 52