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Kirk Borne

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Kirk Borne is the Principal Data Scientist and Executive Advisor at Booz Allen Hamilton in Virginia. Prior to that, Dr. Borne has been an astrophysicist, professor, and major influencer in the world of Big Data. At his talks, Dr. Borne frequently speaks out on ways to use different areas of data science to improve society, including AI and machine learning.
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Dancing with Python book cover
Dancing with Python
Learn to code with Python and Quantum Computing
Robert S. Sutor - 2021-08-31
Develop skills in Python and Quantum Computing by implementing exciting algorithms, mathematical functions, classical searching, data analysis, plotting data, machine learning techniques, and quantum circuits. Dancing with Python helps you learn Python and quantum computing in a practical way. It will help you explore how to work with numbers, stri...
Kirk Borne
2022-12-18T20:37:22.000Z
🌟Amazing book: “Dancing with #Python — Learn to code with Python and #QuantumComputing” at via @PacktPublishing @PacktAuthors ———— #computationalmathematics #computationalscience #coding      source
Elevate the Debate book cover
Elevate the Debate
A Multilayered Approach to Communicating Your Research
Jonathan Schwabish - 2020-02-05
Goodreads Rating
Discover how to effectively communicate data-driven research with Elevate the Debate. This real-world guide helps researchers of all types develop communication strategies that work in today's crowded landscape of content, research, and data. Written by expert members of the Urban Institute's Communication department, this book offers practical strategies and proven techniques for making research accessible to diverse audiences, from traditional news outlets to the new media platforms of the digital age. With Elevate the Debate, you'll be inspired and equipped to use data visualization, presentation skills, social media, and other communication styles to make a difference through policy insights and policy solutions.
Kirk Borne
2022-12-18T19:25:51.000Z
I have copies of all 3 books by @jschwabish — excellent content and quality publications      source
Better Presentations book cover
Better Presentations
A Guide for Scholars, Researchers, and Wonks
Jonathan Schwabish - 2016-11-15
Goodreads Rating
Learn how to create powerful and visually captivating presentations in Better Presentations. Leave behind the text-heavy slides and discover essential strategies for visualizing data effectively, choosing sensible fonts and colors, and restructuring your arguments for maximum persuasion. This practical guide shares clear examples of what to do (and what not to do) to win over your audience and deliver memorable presentations. Whether you're a university professor, graduate student, or analyst at a private firm, Better Presentations is a must-have tool for anyone who wants to improve their presentation skills.
Kirk Borne
2022-12-18T19:25:51.000Z
I have copies of all 3 books by @jschwabish — excellent content and quality publications      source
Operating AI book cover
Operating AI
Bridging the Gap Between Technology and Business
Ulrika Jagare - 2022-05-24
Learn how to effectively operate AI in your company with this comprehensive book by Ulrika Jagare. Covering everything from data engineering and model development to security and ethical considerations, Operating AI provides a life cycle perspective for successful AI implementation. Discover the importance of efficient data management, adopting an operational approach to AI model development, and the need for resilient and secure AI solutions. With a focus on trustworthiness and the operationalization of AI business models, this book is a must-read for anyone looking to invest in AI technology.
Kirk Borne
2022-12-18T19:20:21.000Z
🌟💯🚀Outstanding book by @jagare_ulrika "Operating #AI: Bridging the Gap Between Technology and Business” available at ————— #BigData #DataScience #MachineLearning #AIStrategy #AIOps #MLOps #ArtificialIntelligence #EnterpriseAI #DigitalTransformation      source
Understanding By Design book cover
Understanding By Design
Grant Wiggins - 2005-03-15 (first published in 1998)
Goodreads Rating
This book explores the difference between knowledge and understanding, and provides guidance on how to create a curriculum that focuses on the latter. The authors answer important questions about teaching goals and student achievement, and offer practical strategies, tools, and examples from various subjects. With an emphasis on the six facets of understanding, this book provides a clear path to creating a curriculum that ensures better learning for students and a more stimulating experience for teachers.
Kirk Borne
2022-08-02T03:44:45.000Z
I love this education book: "Understanding By Design" (UbD): some call it "Backward Design"—start with your desired results & end goals, then determine acceptable evidence that will prove you did it, and then plan what to build. #LearningAnalytics #EdTech      source
People Skills for Analytical Thinkers book cover
People Skills for Analytical Thinkers
Boost Your Communication and Advance Your Career - and Life
Gilbert Eijkelenboom - 2020-09-29
Goodreads Rating
Learn how to improve your people skills as an analytical thinker with this insightful book. Rational thinking isn't always enough in the workplace, and this book helps readers navigate situations where people skills make all the difference. From communicating effectively with colleagues to understanding human behavior, this book offers practical advice, academic insights, exercises, and stories to help readers excel at communication and advance their careers. The author even uses algorithm and data metaphors to describe human behavior in an analytical language, making it easy for analytical thinkers to understand and apply to their social interactions.
Kirk Borne
2022-07-09T18:17:36.000Z
Remarkable 5-star Book >> "People Skills for Analytical Thinkers: Boost Your Communication and Advance Your Career—and Life" by Gilbert Eijkelenboom ———— We are each endowed with our own internal algorithms that produce certain behaviors based on inputs...      source
Influence book cover
Influence
Science and Practice (5th Edition)
Robert B. Cialdini - 2006-12-26 (first published in 1984)
Goodreads Rating
Discover the science of compliance in this captivating book that uncovers the factors that influence people to say "yes" to a request. Scholarly research is combined with real-life techniques and strategies gathered from sales, fundraising, advertising, and other positions that commonly use compliance tactics. The author has organized the tactics into six categories based on psychological principles: reciprocation, consistency, social proof, liking, authority, and scarcity. Widely used in both classes and the business world, this book is a must-read for anyone interested in the power of persuasion.
Kirk Borne
2022-06-11T14:34:24.000Z
@barrettjoneill Brilliant books on #Nudge Theory and #BehavioralScience — by Nobel Prize-winning economist @R_Thaler and by @RobertCialdini —>Nudge: —>Pre-Suasion: —>Influence: ————— #neuroscience #DecisionScience #martech      source
Thinking, Fast and Slow book cover
Thinking, Fast and Slow
Daniel Kahneman - 2011-10-25
Goodreads Rating
Explore the inner workings of the mind in this groundbreaking book that explains the two systems that drive the way we think. System 1 is fast, emotional, and intuitive while System 2 is slower, more analytical, and logical. Discover the benefits and drawbacks of both systems and learn how to tap into the benefits of slow thinking. With practical insights into decision-making in both our personal and professional lives, this book is a must-read for anyone looking to guard against mental pitfalls and gain a deeper understanding of the way we think.
Kirk Borne
2022-03-18T06:40:23.000Z
Operationalizing #AI >> Decision-making often comes down to resolving the conflict in our minds between the “impulsive, automatic, intuitive” and the “thoughtful, deliberate, calculating” systems of thinking. ————— Brilliant book "Thinking, Fast and Slow":      source
Better Data Visualizations book cover
Better Data Visualizations
A Guide for Scholars, Researchers, and Wonks
Jonathan Schwabish - 2021-02-09
Goodreads Rating
Learn how to create more effective and compelling data visualizations with this essential guide. In today's world where readers are constantly bombarded with data and text, visuals can make it easier for them to recognize and recall information. This book by Jonathan Schwabish offers more than 500 examples and strategies to move beyond simple line, bar, and pie charts. Discover the do's and don'ts of data visualization, principles of visual perception, and how to make subjective style decisions around chart design. Explore more than 80 visualization types suitable for different audiences and goals. Anyone can create outstanding visualizations that clearly communicate their message.
Kirk Borne
2022-03-16T12:13:58.000Z
💯🚀I love this beautiful and extraordinarily well published book: "Better Data Visualizations" by @jschwabish 🌟 👉Get it at —————— #DataViz #DataStorytelling #Statistics #VisualAnalytics #DataScience #ResearchData #DataScientists #BeDataBrilliant      source
Recommended by
Max Roser
Data Teams book cover
Data Teams
A Unified Management Model for Successful Data-Focused Teams
Jesse Anderson - 2020-09-18
Goodreads Rating
Learn how to successfully manage big data projects with Data Teams. This book introduces the three essential teams needed for success and delves into their roles and responsibilities. Discover the importance of both technology and management in these projects and why failures are often attributed to management. This book is perfect for individuals at all management levels who are starting or stuck on a big data project and need guidance on team organization and project success.
Kirk Borne
2021-12-23T04:17:07.000Z
Excellent book by @jessetanderson >> "Data Teams: A Unified Management Model for Successful Data-Focused Teams" at ————— #BigData #Analytics #DataScience #DataScientists #DataEngineers #AI #MachineLearning #DataLeadership #DataStrategy #DSBooks      source
Introducing MLOps by Mark Treveil
Machine Learning Design Patterns by Valliappa Lakshmanan
Machine Learning for Algorithmic Trading by Stefan Jansen
ApproachingAny Machine Learning Problem by Abhishek Thakur
Building Analytics Teams by John K. Thompson
Practical Data Analysis Using Jupyter Notebook by Marc Wintjen
Analytics Best Practices by Prashanth Southekal
Experimentation Works by Stefan H. Thomke
Artificial Intelligence with Python by Alberto Artasanchez
Deep Reinforcement Learning Hands-On by Maxim Lapan
The Future Is Faster Than You Think by Peter H. Diamandis
Cyber Minds by Shira Rubinoff
AI Crash Course by Hadelin de Ponteves
Programming PyTorch for Deep Learning by Ian Pointer
The Customer of the Future by Blake Morgan
Building Machine Learning and Deep Learning Models on Google Cloud Platform by Ekaba Bisong
Nuts About Data by Meor Amer
Practical Artificial Intelligence by Alan Pelz-Sharpe
Generative Deep Learning by David Foster
Deep Learning Illustrated by Jon Krohn
Hands-On Deep Learning Algorithms with Python by Sudharsan Ravichandiran
Infinite Powers by Steven Strogatz
The Big Nine by Amy Webb
Blockchain in Healthcare by Vikram Dhillon
Unblocked by Alison McCauley
The Hundred-Page Machine Learning Book by Andriy Burkov
Industrial Applications of Machine Learning by Pedro Larrañaga
The Design Thinking Playbook by Michael Lewrick
The Fourth Age by Byron Reese
Building Intelligent Systems by Geoff Hulten
Guide to Competitive Programming by Antti Laaksonen
Outside Insight by Jorn Lyseggen
Mastering Python Networking by Eric Chou
Python Machine Learning By Example by Yuxi (Hayden) Liu
More Is More by Blake Morgan
Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow by Aurélien Géron
TensorFlow Machine Learning Cookbook by Nick McClure
Pre-Suasion by Robert Cialdini
Building the Web of Things by Dominique Guinard
Mapping Experiences by James Kalbach
Platform Revolution by Geoffrey G. Parker
Python Crash Course by Eric Matthes
The Book of R by Tilman M. Davies
Python Machine Learning by Sebastian Raschka
Fraud Analytics Using Descriptive, Predictive, and Social Network Techniques by Bart Baesens
Designing Connected Products by Claire Rowland
User Story Mapping by Jeff Patton
Machine Learning with R by Brett Lantz
Ask, Measure, Learn by Lutz Finger
Data Science for Business by Foster Provost
Applied Predictive Modeling by Max Kuhn
You Should Test That by Chris Goward
Outlier Analysis by Charu C. Aggarwal
Machine Learning by Kevin P. Murphy
Ensemble Methods in Data Mining by Giovanni Seni
The Practically Cheating Statistics Handbook by S. Deviant Mat
Nudge by Richard H. Thaler
An Introduction to 3D Computer Vision Techniques and Algorithms by Boguslaw Cyganek
Data Mining Techniques by Gordon S. Linoff
The Golden Ratio by Mario Livio
Neural Smithing by Russell Reed
Classification and Regression Trees by Leo Breiman
Data Science and Business Intelligence by Heverton Anunciação