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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      fuente
Elevate the Debate book cover
Elevate the Debate
A Multilayered Approach to Communicating Your Research
Jonathan Schwabish - 2020-02-05
Calificación de Goodreads
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      fuente
Better Presentations book cover
Better Presentations
A Guide for Scholars, Researchers, and Wonks
Jonathan Schwabish - 2016-11-15
Calificación de Goodreads
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      fuente
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      fuente
Understanding By Design book cover
Understanding By Design
Grant Wiggins - 2005-03-15 (publicado por primera vez en 1998)
Calificación de Goodreads
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      fuente
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
Calificación de Goodreads
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...      fuente
Influencia. La psicología de la persuasión book cover
Influencia. La psicología de la persuasión
Science and Practice (5th Edition)
Robert B. Cialdini - 2006-12-26 (publicado por primera vez en 1984)
Calificación de Goodreads
Influence, the classic book on persuasion, explains the psychology of why people say "yes"—and how to apply these understandings. Dr. Robert Cialdini is the seminal expert in the rapidly expanding field of influence and persuasion. His thirty-five years of rigorous, evidence-based research along with a three-year program of study on what moves people to change behavior has resulted in this highly acclaimed book. You'll learn the six universal principles, how to use them to become a skilled persuader—and how to defend yourself against them. Perfect for people in all walks of life, the principles of Influence will move you toward profound personal change and act as a driving force for your success.
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      fuente
Pensar rápido, pensar despacio book cover
Pensar rápido, pensar despacio
Daniel Kahneman - 2011-10-25
Calificación de Goodreads
Daniel Kahneman, uno de los pensadores más importantes del mundo, recibió el premio Nobel de Economía por su trabajo pionero en psicología sobre el modelo racional de la toma de decisiones. Sus ideas han tenido un profundo impacto en campos tan diversos como la economía, la medicina o la política, pero hasta ahora no había reunido la obra de su vida en un libro. En Pensar rápido, pensar despacio, un éxito internacional, Kahneman nos ofrece una revolucionaria perspectiva del cerebro y explica los dos sistemas que modelan cómo pensamos. El sistema 1 es rápido, intuitivo y emocional, mientras que el sistema 2 es más lento, deliberativo y lógico. Kahneman expone la extraordinaria capacidad (y también los errores y los sesgos) del pensamiento rápido, y revela la duradera influencia de las impresiones intuitivas sobre nuestro pensamiento y nuestra conducta. El impacto de la aversión a la pérdida y el exceso de confianza en las estrategias empresariales, la dificultad de predecir lo que nos hará felices en el futuro, el reto de enmarcar adecuadamente los riesgos en el trabajo y en el hogar, el profundo efecto de los sesgos cognitivos sobre todo lo que hacemos, desde jugar en la Bolsa hasta planificar las vacaciones; todo esto solo puede ser comprendido si entendemos el funcionamiento conjunto de los dos sistemas a la hora de formular nuestros juicios y decisiones. Al implicar al lector en una animada reflexión sobre cómo pensamos, Kahneman consigue revelar cuándo podemos confiar en nuestras intuiciones y cuándo no, y de qué modo podemos aprovechar los beneficios del pensamiento lento. Además, ofrece enseñanzas prácticas e iluminadoras sobre cómo se adoptan decisiones en la vida profesional o personal, y sobre cómo podemos usar distintas técnicas para protegernos de los fallos mentales que nos crean problemas. Pensar rápido, pensar despacio cambiará para siempre nuestra manera de pensar sobre cómo pensamos.
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":      fuente
Better Data Visualizations book cover
Better Data Visualizations
A Guide for Scholars, Researchers, and Wonks
Jonathan Schwabish - 2021-02-09
Calificación de Goodreads
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      fuente
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Data Teams book cover
Data Teams
A Unified Management Model for Successful Data-Focused Teams
Jesse Anderson - 2020-09-18
Calificación de Goodreads
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      fuente
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
El futuro va más rápido de lo que crees 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
Nueve gigantes by Amy Webb
Blockchain in Healthcare by Vikram Dhillon
Unblocked by Alison McCauley
The Hundred-Page Machine Learning Book en español 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
Aprende Machine Learning con Scikit-Learn, Keras y TensorFlow by Aurélien Géron
TensorFlow Machine Learning Cookbook by Nick McClure
Pre-suasión by Robert Cialdini
Building the Web of Things by Dominique Guinard
Mapping Experiences by James Kalbach
Platform Revolution by Geoffrey G. Parker
Curso intensivo de Python, 2ª edición 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
Un pequeño empujón 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