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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.
48 books on the list
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Guide to Competitive Programming
Learning and Improving Algorithms Through Contests (Undergraduate Topics in Computer Science)
Antti Laaksonen - Jul 06, 2020
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Building on what already is the most comprehensive introduction to competitive programming, this enhanced new textbook features new material on advanced topics, such as calculating Fourier transforms, finding minimum cost flows in graphs, and using automata in string problems. Critically, the text accessibly describes and shows how competitive prog...
Kirk Borne
Aug 09, 2020
Free book, useful for #DataScientists interviews — Guide to Competitive Programming: —————— #BigData #DataScience #MachineLearning #AI #DeepLearning #NeuralNetworks #Algorithms #Coding #abdsc     source
Building Analytics Teams
Harnessing analytics and artificial intelligence for business improvement
John K. Thompson - Jun 30, 2020
Master the skills necessary to hire and manage a team of highly skilled individuals to design, build, and implement applications and systems based on advanced analytics and AI Key Features Learn to create an operationally effective advanced analytics team in a corporate environment Select and undertake projects that have a high probability of succe...
Kirk Borne
Aug 07, 2020
[EXCELLENT New Book] Building #Analytics Teams – Harnessing Analytics & #ArtificialIntelligence for Business Improvement: by @johnkthompson60 — #BigData #DataScience #AI #MachineLearning #AIStrategy #AnalyticsStrategy #DataScientists #DigitalTransformation     source
Building Machine Learning and Deep Learning Models on Google Cloud Platform
A Comprehensive Guide for Beginners
Ekaba Bisong - Sep 28, 2019
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Take a systematic approach to understanding the fundamentals of machine learning and deep learning from the ground up and how they are applied in practice. You will use this comprehensive guide for building and deploying learning models to address complex use cases while leveraging the computational resources of Google Cloud Platform.Author Ekaba B...
Kirk Borne
Jul 17, 2020
[email protected] #TensorFlow Enterprise = #cloud-based #MachineLearning service with enterprise-grade support & managed services: ————— #BigData #DataScience #AI #DeepLearning #Algorithms #Python #GCP #DataScientists —— +See this book:     source
Python Crash Course
A Hands-On, Project-Based Introduction to Programming
Eric Matthes - May 03, 2019 (first published in 2015)
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Second edition of the best selling Python book in the world. A fast-paced, no-nonsense guide to programming in Python. This book teaches beginners the basics of programming in Python with a focus on real projects.This is the second edition of the best selling Python book in the world. Python Crash Course, 2nd Edition is a straightforward introducti...
Kirk Borne
Jul 17, 2020
#Python 3.9 — What’s new and better: performance boosts, new string functions, dictionary union operators, more stable internal APIs,… ———— #DataScientists #Coding #DataScience #AI #MachineLearning #BigData ——— +See this top book:     source
Programming PyTorch for Deep Learning
Creating and Deploying Deep Learning Applications
Ian Pointer - Oct 07, 2019
Goodreads Rating
Take the next steps toward mastering deep learning, the machine learning method that's transforming the world around us by the second. In this practical book, you'll get up to speed on key ideas using Facebook's open source PyTorch framework and gain the latest skills you need to create your very own neural networks.Ian Pointer shows you how to set...
Kirk Borne
Jul 17, 2020
The top #DeepLearning implementation at #AI conferences is #PyTorch — see these free online courses & tutorials: ——————— #Python #Coding #DataScientists #BigData #DataScience #MachineLearning #NeuralNetworks ——— +See this book:     source
Blockchain in Healthcare
Innovations that Empower Patients, Connect Professionals and Improve Care (HIMSS Book Series)
Vikram Dhillon - Jan 24, 2019
Blockchain technology is poised to revolutionize more than just payment and crypto-currency. Many vertical industries will be reshaped by the new trusted data models enabled and inspired by the blockchain - healthcare is no exception. In fact, healthcare may hold the greatest opportunities for meaningful use of the technology. Early pioneers have e...
Kirk Borne
Jul 17, 2020
#Blockchain Use Cases in #Healthcare: ————— #Cybersecurity #Infosec #SupplyChain #EHR #DataPrivacy #DataSecurity #HealthTech #EmergingTechnologies ————— +See this book:     source
Generative Deep Learning
Teaching Machines to Paint, Write, Compose, and Play
David Foster - Jul 15, 2019
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Generative modeling is one of the hottest topics in artificial intelligence. Recent advances in the field have shown how it's possible to teach a machine to excel at human endeavors--such as drawing, composing music, and completing tasks--by generating an understanding of how its actions affect its environment.With this practical book, machine lear...
Kirk Borne
Jul 15, 2020
Must see this great book → “Generative #DeepLearning — Teaching Machines to Paint, Write, Compose, and Play”: by @davidADSP at @applied_data —————— #BigData #DataScience #MachineLearning #AI #GANs #GenerativeAdversarialNetworks #Algorithms #DataScientists     source
Practical Data Analysis Using Jupyter Notebook
Learn how to speak the language of data by extracting useful and actionable insights using Python
Marc Wintjen - Jun 19, 2020
Understand data analysis concepts to make accurate decisions based on data using Python programming and Jupyter Notebook ...
Kirk Borne
Jul 09, 2020
[NEW Book] Practical Data Analysis Using #Jupyter Notebooks — speak the language of data by extracting useful and actionable insights using #Python: ————— #BigData #MachineLearning #AI #DataScience #Coding #DataScientists #DataLiteracy #TimeSeries #Pandas     source
The Fourth Age
Smart Robots, Conscious Computers, and the Future of Humanity
Byron Reese - Mar 17, 2020 (first published in 2018)
Goodreads Rating
As we approach a great turning point in history when technology is poised to redefine what it means to be human, The Fourth Age offers fascinating insight into AI, robotics, and their extraordinary implications for our species. “If you only read just one book about the AI revolution, make it this one” (John Mackey, cofounder and CEO, Whole Foods Ma...
Kirk Borne
Jun 26, 2020
It is now clear that we need metrics to ensure that #AI is a good citizen: —————— #BigData #DataScience #DeepLearning #MachineLearning #AIethics #TrustedAI #XAI #AI4good #DigitalTransformation —————— +See this related book:     source
The Big Nine
How the Tech Titans and Their Thinking Machines Could Warp Humanity
Amy Webb - Mar 03, 2020 (first published in 2019)
Goodreads Rating
A call-to-arms about the broken nature of artificial intelligence, and the powerful corporations that are turning the human-machine relationship on its head. We like to think that we are in control of the future of "artificial" intelligence. The reality, though, is that we -- the everyday people whose data powers AI -- aren't actually in control of...
Kirk Borne
Jun 26, 2020
Why #AI and #Algorithms Should Come with a Measure of Caution: —————— #AIethics #DataEthics #BigData #DataScience #MachineLearning #DeepLearning #TrustedAI #XAI ———— +See this book:     source
Also recommended by
Caroline McCarthy
Mastering Python Networking
Your one-stop solution to using Python for network automation, DevOps, and Test-Driven Development, 2nd Edition
Eric Chou - Aug 29, 2018
Goodreads Rating
Master the art of using Python for a diverse range of network engineering tasks to thrive in the next era of networking...
Kirk Borne
Jun 26, 2020
#Python-based network-management #Automation: ————— #Coding #NetDevOps #DevOps #SecDevOps #SDN #SDWAN #AI #MachineLearning #CyberSecurity #Infosec #CultureOfExperimentation ————— +Look at this book:     source
Hands-On Deep Learning Algorithms with Python by Sudharsan Ravichandiran
An Introduction to 3D Computer Vision Techniques and Algorithms by Boguslaw Cyganek
Ensemble Methods in Data Mining by Giovanni Seni
Unblocked by Alison McCauley
Experimentation Works by Stefan H. Thomke
TensorFlow Machine Learning Cookbook by Nick McClure
Classification and Regression Trees by Leo Breiman
Fraud Analytics Using Descriptive, Predictive, and Social Network Techniques by Bart Baesens
Cyber Minds by Shira Rubinoff
Python Machine Learning by Sebastian Raschka
You Should Test That by Chris Goward
The Future Is Faster Than You Think by Peter H. Diamandis
Data Science and Business Intelligence by Heverton Anunciação
Deep Reinforcement Learning Hands-On by Maxim Lapan
Machine Learning by Kevin P. Murphy
Analytics Best Practices by Dr. Prashanth Southekal
Neural Smithing by Russell Reed
Industrial Applications of Machine Learning by Pedro Larrañaga
Building the Web of Things by Dominique Guinard
Platform Revolution by Geoffrey G. Parker
Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow by Aurélien Géron
Mapping Experiences by James Kalbach
Building Intelligent Systems by Geoff Hulten
Practical Artificial Intelligence by Alan Pelz-Sharpe
Nuts About Data by Meor Amer
Machine Learning with R by Brett Lantz
The Practically Cheating Statistics Handbook by S. Deviant MAT
The Customer of the Future by Blake Morgan
More Is More by Blake Morgan
Data Science for Business by Foster Provost
Outside Insight by Jorn Lyseggen
Infinite Powers by Steven Strogatz
Ask, Measure, Learn by Lutz Finger
Designing Connected Products by Claire Rowland
The Golden Ratio by Mario Livio
Applied Predictive Modeling by Max Kuhn
Data Mining Techniques by Gordon S. Linoff