# Tag: Book (114)

**Deep Learning Design Patterns**- Oct 14, 2020.

New book, "Deep Learning Design Patterns" presents deep learning models in a unique-but-familiar new way: as extendable design patterns you can easily plug-and-play into your software projects. Use code kdmath50 to save 50% off.**Math for Programmers**- Sep 10, 2020.

Math for Programmers teaches you the math you need to know for a career in programming, concentrating on what you need to know as a developer. Save 50% with code kdmath50.**Book Chapter: The Art of Statistics: Learning from Data**- Sep 3, 2020.

Get a free book chapter from "The Art of Statistics: Learning from Data" by a leading researcher Sir David John Spiegelhalter. This excerpt takes a forensic look at data surrounding the victims of the UK most prolific serial killer and shows how a simple search for patterns reveals critical details.**Math for Programmers!**- Jul 30, 2020.

Math for Programmers teaches you the math you need to know for a career in programming, concentrating on what you need to know as a developer. Save 50% with code kdmath50.**Math for Programmers**- Jul 8, 2020.

Math for Programmers teaches you the math you need to know for a career in programming, concentrating on what you need to know as a developer.**Five Lines of Code**- Jun 24, 2020.

If you want to learn simple and practical rules for coding and refactoring, "Five Lines of Code" from Manning is the guide for you, teaching you concrete principles for refactoring. Save 40% with code nlfive40 until July 24.**Understanding Machine Learning: The Free eBook**- Jun 15, 2020.

Time to get back to basics. This week we have a look at a book on foundational machine learning concepts, Understanding Machine Learning: From Theory to Algorithms.**Pandas in action!**- May 20, 2020.

Pandas is instantly familiar to anyone who’s used spreadsheet software, whether that’s Google Sheets or good old Excel. It’s got columns, it’s got grids, it’s got rows; but pandas is far more powerful. Save 40% with code nlkdpandas40 on this book, and other Manning books and videos.**Linear algebra and optimization and machine learning: A textbook**- May 18, 2020.

This book teaches linear algebra and optimization as the primary topics of interest, and solutions to machine learning problems as applications of these methods. Therefore, the book also provides significant exposure to machine learning.**Math for Programmers!**- May 13, 2020.

Math for Programmers teaches you the math you need to know for a career in programming, concentrating on what you need to know as a developer.**KDnuggets™ News 20:n19, May 13: Start Your Machine Learning Career in Quarantine; Will Machine Learning Engineers Exist in 10 Years?**- May 13, 2020.

Also: The Elements of Statistical Learning: The Free eBook; Explaining "Blackbox" Machine Learning Models: Practical Application of SHAP; What You Need to Know About Deep Reinforcement Learning; 5 Concepts You Should Know About Gradient Descent and Cost Function; Hyperparameter Optimization for Machine Learning Models**The Elements of Statistical Learning: The Free eBook**- May 11, 2020.

Check out this free ebook covering the elements of statistical learning, appropriately titled "The Elements of Statistical Learning."**Deep Learning: The Free eBook**- May 4, 2020.

"Deep Learning" is the quintessential book for understanding deep learning theory, and you can still read it freely online.**Trustworthy Online Controlled Experiments: A Practical Guide to A/B Testing**- Apr 28, 2020.

The book Trustworthy Online Controlled Experiments: A Practical Guide to A/B Testing by Ron Kohavi (Microsoft, Airbnb), Diane Tang (Google) and Ya Xu (LinkedIn) is available for purchase, with the authors proceeds from the book being donated to charity.**A Concise Course in Statistical Inference: The Free eBook**- Apr 27, 2020.

Check out this freely available book, All of Statistics: A Concise Course in Statistical Inference, and learn the probability and statistics needed for success in data science.**Dive Into Deep Learning: The Free eBook**- Apr 16, 2020.

This freely available text on deep learning is fully interactive and incredibly thorough. Check out "Dive Into Deep Learning" now and increase your neural networks theoretical understanding and practical implementation skills.**Pandas in action**- Apr 15, 2020.

Pandas is instantly familiar to anyone who’s used spreadsheet software, whether that’s Google Sheets or good old Excel. It’s got columns, it’s got grids, it’s got rows; but pandas is far more powerful. Save 40% with code nlkdpandas40 on this book, and other Manning books and videos.**Mathematics for Machine Learning: The Free eBook**- Apr 6, 2020.

Check out this free ebook covering the fundamentals of mathematics for machine learning, as well as its companion website of exercises and Jupyter notebooks.**Math for Programmers!**- Mar 11, 2020.

Math for Programmers teaches you the math you need to know for a career in programming, concentrating on what you need to know as a developer.**Math for Programmers – your guide for solving math problems in code**- Feb 12, 2020.

**Math for Programmers!**- Jan 15, 2020.

**Math for Programmers!**- Dec 11, 2019.

**Python Workout / Practices of a Python Pro / Classic Computer Science Problems in Python**- Nov 13, 2019.

Whether you’re a beginner or an expert, there’s always new ways you can improve your Python coding. Save 40% off this trio of Manning Python books today! Just enter the code nlpropython40 at checkout when you buy from manning.com.**Math for Programmers..**- Oct 9, 2019.

**Math for Programmers**- Aug 19, 2019.

**Exploring Python Basics.**- Jul 29, 2019.

This free ebook is a great resource for data science beginners, providing a good introduction into Python, coding with Raspberry Pi, and using Python to building predictive models.**Math for Machine Learning**- Jul 9, 2019.

This ebook explains the math involved and introduces you directly to the foundational topics in machine learning.**Python Users Come From All Sorts of Backgrounds**- Jun 18, 2019.

Python users come from all sorts of backgrounds, but computer science skills make the difference between a Python apprentice and a Python master. Save 50% off Classic Computer Science Problems in Python today, using the code kdcsprob50 when you buy from manning.com.**Math for Programmers.**- Jun 7, 2019.

**Math for Machine Learning.**- Jun 5, 2019.

This ebook explains the math involved and introduces you directly to the foundational topics in machine learning.**Books on Graph-Powered Machine Learning, Graph Databases, Deep Learning for Search – 50% off**- May 9, 2019.

These 3 books will help you make the most from graph-powered databases. For a limited time, get 50% off any of them with the code kdngraph.**Math for Programmers**- Apr 11, 2019.

**Robust Quality – Powerful Integration of Data Science and Process Engineering.**- Mar 6, 2019.

This book provides a strong connection between the concepts in data science and process engineering needed to ensure better quality and takes you through a systematic approach to measure holistic quality with several case studies.**Exploring Python Basics**- Jan 31, 2019.

This free eBook is a great resource for any beginner, providing a good introduction into Python, a look at the basics of learning a programming language and explores modelling and predictions.**The Hundred-Page Machine Learning Book**- Jan 17, 2019.

This book covers supervised and unsupervised learning, support vector machines, neural networks, ensemble methods, gradient descent, cluster analysis and dimensionality reduction, autoencoders and transfer learning, feature engineering and hyperparameter tuning.**Math for Programmers**- Jan 15, 2019.

**The SIAM Book Series on Data Science**- Jan 11, 2019.

SIAM is soliciting manuscripts for its new book series on the mathematical and computational foundations of data science.**Principles of Database Management: The Practical Guide to Storing, Managing and Analyzing Big and Small Data**- Jan 10, 2019.

This comprehensive textbook teaches the fundamentals of database design, modeling, systems, data storage, and the evolving world of data warehousing, governance and more.**Math for Machine Learning**- Jan 4, 2019.

This ebook explains the math involved and introduces you directly to the foundational topics in machine learning.**Manning Countdown to 2019 – Big Deals on AI, Data Science, Machine Learning books and videos**- Dec 28, 2018.

Introducing the Manning countdown to 2019, where each day you’ll be able to get a different one day deal on some of their biggest books and video courses.**Math for Machine Learning**- Dec 10, 2018.

**The Quick Python Book**- Dec 5, 2018.

Written for programmers new to Python, this latest edition includes new exercises throughout. It covers features common to other languages concisely, while introducing Python's comprehensive standard functions library and unique features in detail.**Graph-Powered Machine Learning**- Dec 3, 2018.

This book from Manning Publications is a wonderful introduction to graphs for machine learning enthusiasts, as well as a great entrée into machine learning for graph experts.**Healthcare Analytics Made Simple**- Nov 12, 2018.

Finally, a book on Python healthcare machine learning techniques is here! Healthcare Analytics Made Simple does just what the title says: it makes healthcare data science simple and approachable for everyone.**New Book: Linear Algebra – what you need for Machine Learning and Data Science now**- Oct 24, 2018.

From machine learning and data science to engineering and finance, linear algebra is an important prerequisite for the careers of today and of the future. Learn the math you need with this book.**Robust Quality – Powerful Integration of Data Science and Process Engineering**- Oct 1, 2018.

The book by Rajesh Jugulum provides a strong connection between the concepts in data science and process engineering that is necessary to ensure better quality levels and takes you through a systematic approach to measure holistic quality with several case studies.**Math for Machine Learning**- Sep 28, 2018.

**Principles of Database Management: The Practical Guide to Storing, Managing and Analyzing Big and Small Data**- Sep 26, 2018.

This comprehensive textbook teaches the fundamentals of database design, modeling, systems, data storage, and the evolving world of data warehousing, governance and more.**Neural Networks and Deep Learning: A Textbook**- Sep 7, 2018.

This book covers both classical and modern models in deep learning. The book is intended to be a textbook for universities, and it covers the theoretical and algorithmic aspects of deep learning.**How to tackle common data cleaning issues in R**- May 24, 2018.

R is a great choice for manipulating, cleaning, summarizing, producing probability statistics, and so on. In addition, it's not going away anytime soon, it is platform independent, so what you create will run almost anywhere, and it has awesome help resources.**THE BOOK OF WHY: The New Science of Cause and Effect**- May 15, 2018.

A Turing Prize-winning computer scientist and statistician shows how understanding causality has revolutionized science and will revolutionize AI.**7 Useful Suggestions from Andrew Ng “Machine Learning Yearning”**- May 8, 2018.

Machine Learning Yearning is a book by AI and Deep Learning guru Andrew Ng, focusing on how to make machine learning algorithms work and how to structure machine learning projects. Here we present 7 very useful suggestions from the book.**ML Powering Marketing Automation: New Guidebook**- Apr 24, 2018.

Understanding and quantifying a customer's journey - otherwise known as marketing attribution - is essential for marketers to analyze the ROI from campaigns. Get the latest guidebook to understand how its done!**7 Books to Grasp Mathematical Foundations of Data Science and Machine Learning**- Apr 17, 2018.

It is vital to have a good understanding of the mathematical foundations to be proficient with data science. With that in mind, here are seven books that can help.**Machine Learning for Text**- Apr 9, 2018.

This book covers machine learning techniques from text using both bag-of-words and sequence-centric methods. The scope of coverage is vast, and it includes traditional information retrieval methods and also recent methods from neural networks and deep learning.**New Book: Mining Your Own Business**- May 15, 2017.

It's an easy-to-read, practical primer for C-level to mid-level executives about how to harness the power of analytics to increase organizational effectiveness.**Data Science for the Layman (No Math Added)**- Apr 20, 2017.

Written for the layman, this book is a practical yet gentle introduction to data science. Discover key concepts behind more than 10 classic algorithms, explained with real-world examples and intuitive visuals.**New Book: TensorFlow for Machine Intelligence – KDnuggets Holiday Offer**- Dec 12, 2016.

TensorFlow for Machine Intelligence is a hands-on introduction to learning algorithms and the "TensorFlow book for humans." For a limited holiday special, KDnuggets readers get a 40% discount, available here.**Process Mining: Where Data Science and Process Science Meet**- Nov 17, 2016.

A data scientist without Process Mining training is ill-equipped to uncover the organization’s real processes, analyze compliance, diagnose bottlenecks and improve processes, so improve your skills with a new version of the free Coursera course "Process Mining: Data Science in Action" will start on November 28, 2016.**New Book: TensorFlow for Machine Intelligence, KDnuggets Offer**- Aug 30, 2016.

TensorFlow for Machine Intelligence is a hands-on introduction to learning algorithms and the "TensorFlow book for humans." KDnuggets readers get a 25% discount, available here.**Predictive Analytics Introductory Key Terms, Explained**- Jul 18, 2016.

Here is a collection of introductory predictive analytics terms and concepts, presented for the newcomer in a straight-forward, no frills definition style.**New Book: Effective CRM using Predictive Analytics – get 20% discount**- Jul 11, 2016.

A comprehensive step-by-step guide to designing, setting up, executing and deploying data mining techniques in marketing. Use code VBM93 for 20% discount.**New Andrew Ng Machine Learning Book Under Construction, Free Draft Chapters**- Jun 20, 2016.

Check out the details on Andrew Ng's new book on building machine learning systems, and find out how to get your free copy of draft chapters as they are written.**Top /r/MachineLearning Posts, April: New Google Machine Learning Videos, Deep Learning Book, TensorFlow Playground**- May 2, 2016.

Check out the most popular topics on Reddit's Machine Learning subreddit from April, including TensorFlow, deep learning, tutorials, self-reflection, and free books.**Recommender Systems: New Comprehensive Textbook by Charu Aggarwal**- Apr 15, 2016.

Covers recommender systems comprehensively, both fundamentals and advanced topics, organized into: Algorithms and evaluation, recommendations in specific domains and contexts, and advanced topics and applications.**New Deep Learning Book Finished, Finalized Online Version Available**- Apr 12, 2016.

What will likely become known as the seminal book on deep learning is finally finished, with the online version finalized and freely-accessible to all those interested in mastering deep neural networks.**Free audiobook – Revised & Updated “Predictive Analytics”**- Jan 12, 2016.

Get the Revised and Updated Edition of Eric Siegel’s acclaimed Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie, or Die. Free audiobook with order,**Amazon Top 20 Books in Neural Networks**- Nov 30, 2015.

These are the most popular neural networks books on Amazon. Perhaps there is something of interest to you here.**Amazon Top 20 Books in Statistics**- Nov 9, 2015.

These are the most popular statistics books on Amazon. Some interesting books made their way onto this list, and hopefully you find something of interest here.**Amazon Top 20 Books in AI & Machine Learning**- Nov 2, 2015.

These are the most popular AI & machine learning books on Amazon. Have a look... you may find something of interest here.**Amazon Top 20 Books in Data Mining**- Oct 27, 2015.

These are the most popular data mining books on Amazon. As you look to increase your knowledge, is there something listed here that is missing from your collection?**You’ve Read the Book, Now Listen to the Podcast**- Oct 26, 2015.

Podcasts are a great way to enhance your education without sacrificing precious time. Here are six of the best data-science-oriented podcasts to listen to if you’re a fan of popular data science books.**New Books on Accelerating Discovery, Event Mining, Networking for Big Data**- Oct 23, 2015.

New books cover important Data Science topics, including Mining Unstructured Information for Hypothesis Generation, Event Mining, and Networking for Big Data. Use GZP42 to save 20%.**KDnuggets™ News 15:n31, Sep 30: Math for Data Science; How to Learn Machine Learning; The Master Algorithm**- Sep 30, 2015.

15 Mathematics MOOCs for Data Science; Are you trying to acquire Machine Learning Skills?; Top 10 Quora Machine Learning Writers and Their Best Advice; The Master Algorithm - new book by top ML researcher.**The Master Algorithm – new book by top Machine Learning researcher Pedro Domingos**- Sep 25, 2015.

Wonderfully erudite, humorous, and easy to read, the Master Algorithm by top Machine Learning researcher Pedro Domingos takes you on a journey to visit the 5 tribes of Machine Learning experts and helps you understand what the Master Algorithm can be.**New Book: Big Data Analytics**- Sep 8, 2015.

A new book on Big Data analytics provides a broad overview of techniques and applications, focusing on both challenges and opportunities.**60+ Free Books on Big Data, Data Science, Data Mining, Machine Learning, Python, R, and more**- Sep 4, 2015.

Here is a great collection of eBooks written on the topics of Data Science, Business Analytics, Data Mining, Big Data, Machine Learning, Algorithms, Data Science Tools, and Programming Languages for Data Science.**Book: Practical Text Analytics**- Aug 11, 2015.

New publication provides guidance on the application of text analytics for marketing professionals who must interpret results and apply them in their campaigns.**Book: Mining Human Mobility in Location-Based Social Networks**- Jul 30, 2015.

This book takes a data mining perspective to offer an overview of studying human mobility in location-based social networks (LBSN) and illuminate a wide range of related computational tasks. It also highlights what are the unique characteristics and research opportunities of LBSN data.**New Book: Mining Latent Entity Structures**- Jul 21, 2015.

This collection investigate the principles and methodologies of mining latent entity structures from massive unstructured and interconnected data. We propose a text-rich information network model for modeling data in many different domains.**Young Data Scientist Book: Inspiration for the future**- Jul 21, 2015.

Focussing on ages 14 to 17, this book uses the space exploration for Data Science. Ultimate initiative of this book is to create an open curriculum to teach Data Science in schools.**Book: Healthcare Data Analytics**- Jul 20, 2015.

Written by prominent researchers and experts working in the healthcare domain, this book provides a clear understanding of the analytical techniques currently available to solve healthcare problems.**Model-Based Machine Learning, Free Early Book Draft**- Jun 22, 2015.

Are you a newbie to machine Learning? Here's a fresh new perspective to learning it. It's called "Model-based machine Learning". It makes the process of creating effective machine learning solutions much more systematic for any newcomer!**On the Shelf: Data Science Books**- Apr 28, 2015.

Here are some great books About Data Science, Data Science for Businesses, Data Science in Popular Culture, Data Science How Tos & Manuals, and more - brought to you by UC Berkeley online Master of Information and Data Science.**Data Mining: New Comprehensive Textbook by Charu Aggarwal**- Apr 23, 2015.

This comprehensive data mining textbook explores the different aspects of data mining, from basics to advanced, and their applications, and may be used for both introductory and advanced data mining courses.**Women Analytics Book Authors – Meta List**- Apr 6, 2015.

Meta Brown is mission to promote accomplished women in analytics - her catalog includes hundreds of women who published books on many analytics topics - useful for finding experts to present at your event, comment on an issue or work for you.**More Free Data Mining, Data Science Books and Resources**- Mar 25, 2015.

More free resources and online books by leading authors about data mining, data science, machine learning, predictive analytics and statistics.**Hurwitz: Cognitive Computing and Big Data Analytics**- Mar 5, 2015.

New book from Judith Hurwitz and associates on Cognitive Computing is a comprehensive guide to the subject, providing both the theoretical and practical guidance technologists need.**The Elements of Data Analytic Style – checklist**- Mar 4, 2015.

Jeff Leek book "Elements of Data Analytic Style" had a rocket launch, thanks to author course on Coursera. The book includes a useful checklist that can guide beginning data analysts or serve for evaluating data analyses.**Top KDnuggets tweets, Dec 15-16: KDnuggets Cartoon: Unexpected Machine Learning Recommendations**- Dec 17, 2014.

KDnuggets Cartoon: Unexpected Machine Learning Recommendations; Review: #DataScience at the Command Line - great book; Most Demanded Data Science and Data Mining Skills; The problem is that many ML researchers are not working on on most impactful areas.**Top KDnuggets tweets, Nov 24-30: How Word Meanings Change; Data wrangling with R: Things I wish I’d been told**- Dec 1, 2014.

Linguistic Mapping Reveals How Word Meanings Sometimes Change Overnight; Practical #DataScience Cookbook, helps data practitioner; Facebook #AI team hires Vladimir Vapnik, father of #SVM; Starting data analysis/wrangling with R: Things I wish I'd been told.**Companion Website for “Data Mining and Analysis: Fundamental Concepts and Algorithms”**- Nov 19, 2014.

Supplementary materials for the textbook Data Mining and Analysis: Fundamental Concepts and Algorithms are now available online and include figures, slides, datasets, videos, and more. Download them today.**Book: Data Mining for Managers**- Oct 14, 2014.

This book by a leading data mining consultant is meant for both practitioners and end users of data mining solutions, and it focuses more on the data and less on the math.**Book: Modern Optimization with R**- Oct 10, 2014.

Learn the most relevant concepts related to modern optimization methods and how to apply them using multi-platform, open source, R tools in this new book on metaheuristics.**Predictive Analytics Using Oracle Data Miner**- Sep 24, 2014.

Learn about basic data mining concepts and how to apply data mining techniques to your data using Oracle SQL and Data Miner tools in this new book.**Book: Data Classification: Algorithms and Applications**- Aug 2, 2014.

Learn a wide variety of data classification techniques and their methods, domains, and variations in this comprehensive survey of the area of data classification.**Book: Probabilistic Approaches to Recommendations**- Jul 28, 2014.

Learn about the challenges of the recommendation problem and common probabilistic solutions to it, then dive into state of the art techniques in Probabilistic Approaches to Recommendation.**Book: Win With Advanced Business Analytics**- Jun 26, 2014.

Written for the non-technical professional, this definitive guide shows you how to gain the most opportunity and value from every type of advanced business analytics.**Book: Data Classification: Algorithms and Applications**- Jun 14, 2014.

This new book explores the underlying algorithms of classification and applications in text, multimedia, social network, biological data, and other domains. 25% off with KDnuggets discount.**Book: Data Mining and Analysis: Fundamental Concepts and Algorithms**- May 27, 2014.

This textbook for senior undergraduate and graduate data mining courses provides a broad yet in-depth overview of data mining, integrating related concepts from machine learning and statistics. Companion website has data, slides and other teaching material.**Outlier Detection for Temporal Data**- May 22, 2014.

Outlier Detection for Temporal Data covers topics in temporal outlier detection, which have applications in numerous fields. It starts with the basic topics then moves on to state of the art techniques in the field.**New Book: Analytics in a Big Data World – The Essential Guide to Data Science**- May 13, 2014.

For organizations looking to enhance their capabilities via data analytics, this book is the go-to reference for applying Data Science to make the right business decisions.**Did Target Really Predict a Teen’s Pregnancy? The Inside Story**- May 7, 2014.

We examine the origin and the facts behind this explosive story, the importance of headlines, and how unsubstantiated assumptions gain traction and mainstream attention and help create myths around Predictive Analytics.**New Book: Social Media Mining – free PDF download**- Apr 22, 2014.

Social Media Mining integrates social media, social network analysis, and data mining to enable students, practitioners, researchers, and managers to understand the basics and potentials of this field.**Vincent Granville Data Science Book**- Apr 12, 2014.

The Data Science book from Analytic Bridge founder Vincent Granville shows you what employers want and the skill set that separates the quality data scientist from other IT professionals.**Book Review: Data Just Right**- Apr 7, 2014.

An introduction to technology and software at play in the current quest to define the Big Data Analytics computing paradigm, the book Data Just Right is reviewed in detail here.**Book: Visual Analytics of Movement**- Apr 2, 2014.

This new book is about the exciting possibilities created by visual analytics for anyone interested in understanding movement, analyzing movement, or simply make decisions influenced by the way people, animals, and objects move.**Top KDnuggets tweets, Mar 28-30: SAS vs R vs Python, ecosystem comparison; Practical Data Science with R**- Mar 31, 2014.

SAS vs. R vs. Python - Which should you learn?; New Book: Practical Data Science with R ; Is Data Scientist the right career path for you? Candid advice; Must read books for people interested in Analytics.**Top stories for Mar 23-29**- Mar 30, 2014.

Data Scientists Salary Poll: US, Canada, Australia lead; Is Data Scientist the right career path for you? New Book: Practical Data Science with R; Test your numbersense.**New Book: Practical Data Science with R**- Mar 29, 2014.

This new book will help you learn and apply the R programming language and statistical analysis techniques to carefully explained examples based in marketing, business intelligence, and decision support.**Top KDnuggets tweets, Mar 14-16: Is Apache Spark the Next Big Thing? R Meta-Book – best CRAN posts assembled**- Mar 17, 2014.

Apache Spark promises to be the Next Big Thing in #Big Data - 100x faster than #Hadoop; An R Meta-Book - best CRAN posts assembled; The Beauty of pi - the fastest (and most incomprehensible) formula; Tips for Hiring Data Scientists: look for quants with business hustle.**New book: Big Data, Mining, and Analytics: Components of Strategic Decision Making**- Mar 15, 2014.

This book ties together big data, data mining, and analytics to explain how readers can leverage them to extract valuable insights from their data.**LIONbook: Machine Learning + Intelligent Optimization – completed, free personal download**- Mar 11, 2014.

This book combines two usually separated topics: machine learning and intelligent optimization, and does it with enough technical details to satisfy professionals, but also with concrete examples, vivid images, and fun. Buy a low-cost paperback or ebook (Kindle), or download a free PDF.**Book: Ask, Measure, Learn – Social Media Analytics for Customer Behavior**- Mar 3, 2014.

Ask-Measure-Learn is a rare book intended both for a manager and for a data scientist. It presents a framework that helps you ask the right questions, measure the right data, and then learn from the results.