Data Science 101

FEBRUARY 28, 2019

Data Journalism Handbook 2 – Online beta access to the first 21 chapters Select Star SQL – A book that is also a walk-through interactive tutorial for learning SQL Dive Into Deep Learning – A very detailed and up-to-date book on Deep Learning; used at Berkeley.

Data Science 84

Data Science Deep Learning Interactive IT 84

O'Reilly on Data

JULY 28, 2020

Ethics and Data Science is a short book that helps developers think through data problems, and includes a checklist that team members should revisit throughout the process. Some of the best lessons are captured in Ron Kohavi, Diane Tang, and Ya Xu’s book: Trustworthy Online Controlled Experiments : A Practical Guide to A/B Testing.

Marketing 363

Marketing Experimentation Metrics Testing 363

Occam's Razor

MARCH 30, 2017

People tend to use these phrases almost interchangeably: Artificial Intelligence (AI), Machine Learning (ML) and Deep Learning. Deep Learning is a specific ML technique. Most Deep Learning methods involve artificial neural networks, modeling how our bran works. All sans human-control.

Marketing Analytics 166

Marketing Analytics Marketing Analytics Deep Learning 166

CDW Research Hub

JULY 31, 2019

For instance, a level 1 travel bot can provide a link for you to book travel. Recent advances in machine learning, and more specifically its subset, deep learning, have made it possible for computers to better understand natural language. I want to book a trip. Can you book a trip for me? ## intent:inform.

Deep Learning 49

Deep Learning Machine Learning Testing Modeling 49

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.

Deep Learning 111

Deep Learning Modeling Metrics Testing 111

Domino Data Lab

JULY 22, 2019

By virtue of that, if you take those log files of customers interactions, you aggregate them, then you take that aggregated data, run machine learning models on them, you can produce data products that you feed back into your web apps, and then you get this kind of effect in business. You can take TensorFlow.js It doesn’t work.

Data Science 109

Data Science Machine Learning Data Governance Modeling 109

IBM Big Data Hub

JANUARY 17, 2024

A chatbot is a program or script designed to interact and respond to humans in real-time conversation. AI-powered bots leverage machine learning and NLP ( natural language processing ) to understand prompts and context. They can learn from past interactions and improve over time.

Interactive 60

Interactive Sales Machine Learning Marketing 60