12 Python Resources for Data Science

12 #Python Resources for #DataScience  #ArtificialIntelligence #MachineLearning #AI

  • About 8,300 articles related to Python have been posted on Data Science Central, according to Google.
  • Below is a small sample — the 12 most useful and popular articles to get started with Python and data science.
  • The Guide to Learning Python for Data Science has been moved here.
  • To receive updates about Python and any other data science topics, sign-up with DSC

About 8,300 articles related to Python have been posted on Data Science Central, according to Google. Below is a small sample — the 12 most useful and popular…
Continue reading “12 Python Resources for Data Science”

12 Python Resources for Data Science

12 #Python Resources for #DataScience  #ArtificialIntelligence #MachineLearning #AI

  • About 8,300 articles related to Python have been posted on Data Science Central, according to Google.
  • Below is a small sample — the 12 most useful and popular articles to get started with Python and data science.
  • The Guide to Learning Python for Data Science has been moved here.
  • To receive updates about Python and any other data science topics, sign-up with DSC

About 8,300 articles related to Python have been posted on Data Science Central, according to Google. Below is a small sample — the 12 most useful and popular…
Continue reading “12 Python Resources for Data Science”

AI Revolution

#AI revolution: 20 key business findings #CIO #CMO

  • To better understand the AI revolution in business, Salesforce Research compiled insights from previous studies, capturing input from 10,800 respondents from sales, services and marketing leaders and 7,000 consumers and business buyers around the globe.
  • AI steps into the business strategy spotlight: while a minority of businesses currently use AI, interest in the technology (machine learning, deep learning, natural language processing, smart data discovery, etc) is pervasive and planned adoption is strong.
  • AI use cases span sales, service, and marketing: AI has the potential to become as ubiquitous as electricity or cloud computing.
  • All lines of business are starting to view AI as technology that can improve customer engagement, improve employee productivity and ultimately accelerate digital transformation and business growth (revenue).
  • The power of AI is the ability to gain more knowledge from data, and to augment sales, service and marketing intelligence to help accelerate and bolster a company’s ability to improve stakeholder (employees, partners and customers) performance and experience.

Artificial Intelligence (AI) could double annual economic growth rates by 2035. – Accenture
According to Accenture, In five years, more than half …
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New Machine Learning Cheat Sheet by Emily Barry

#MachineLearning Cheat Sheet, the #emoji edition:  #abdsc #BigData #DataScience #AI

  • This blog about machine learning was written by Emily Barry.
  • Emily is a Data Scientist in San Francisco, California.
  • The more she learns about machine learning algorithms, the more challenging it is to keep these subjects organized in her brain to recall at a later time.
  • This is by no means a comprehensive guide to machine learning, but rather a study in the basics for herself and the likely small overlap of people who like machine learning and love emoji as much as she do.
  • For more articles about machine learning, click here.

This blog about machine learning was written by Emily Barry. Emily is a Data Scientist in San Francisco, California. She really loves emoji. Another thing she…
Continue reading “New Machine Learning Cheat Sheet by Emily Barry”

Book: Data Science for the Layman: No Math Added

#DataScience Book for the Layperson:  #abdsc #BigData #DataAnalytics #MachineLearning #AI

  • Want to get started on data science?
  • This book has been written in layman’s terms as a gentle introduction to data science and its algorithms.
  • Each algorithm has its own dedicated chapter that explains how it works, and shows an example of a real-world application.
  • With this book, we hope to give you a practical understanding of data science, so that you, too, can leverage its strengths in making better decisions.

Want to get started on data science? Our promise: no math added.
This book has been written in layman’s terms as a gentle introduction to data science and its…
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A Designer’s Guide To The $15 Billion Artificial Intelligence Industry

A designer's guide to the $15 billion artificial intelligence industry  (from 2016)

  • The best designers know that they need to study human behavior if they want to make the right choices for their users.
  • It allows designers to cater to, and anticipate, individual users’ needs.
  • With AI, products and services aren’t just performing basic functions; they’re emotionally aware, letting designers create the best experience for each user.
  • Psychology: The way an AI system communicates with users at 2 p.m. should be different from the way it talks to them at 2 a.m., taking into account the unusually late time and understanding that the users are likely frustrated because they can’t sleep, playful because they’ve been drinking, or panicked because there’s been an emergency.
  • Designers have to understand the many ways users might react in different scenarios and how they will express their intention depending on factors like their mood, location, and what they ate that day.

As artificial intelligence gains ground, designers will need to adapt. Here’s how to get started.

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New Machine Learning Cheat Sheet by Emily Barry

New #MachineLearning Cheat Sheet by Emily Barry #abdsc

  • This blog about machine learning was written by Emily Barry.
  • Emily is a Data Scientist in San Francisco, California.
  • The more she learns about machine learning algorithms, the more challenging it is to keep these subjects organized in her brain to recall at a later time.
  • This is by no means a comprehensive guide to machine learning, but rather a study in the basics for herself and the likely small overlap of people who like machine learning and love emoji as much as she do.
  • For more articles about machine learning, click here.

This blog about machine learning was written by Emily Barry. Emily is a Data Scientist in San Francisco, California. She really loves emoji. Another thing she…
Continue reading “New Machine Learning Cheat Sheet by Emily Barry”