[Advances in Financial Machine Learning] EBOOK/EPUB


Advances in Financial Machine Learning

Summary ☆ eBook, ePUB or Kindle PDF ↠ Marcos Lpez de Prado

Sono with Visits from the Seventh financial data The author spends a lot of this sectionocusing on validation techniues specifically Remarkable Creatures forinancial eatures The third section of the book ocuses entirely on backtesting In this section he develops a number of novel approaches to backtesting machine learning models as well as measuring the performance of those models The Heroes Adrift (Hero, fourth section delves into some of the most important MLeatures in inancial markets and how to build models around them The last section "FOCUSES ON HOW TO SCALE YOUR "on how to scale your models with both off the shelf software high performance computing hardwarevia LBNL s CIFT Project and uantum computing approachesvia uantum annealer rom D WAVE All in all the book provides an excellent roadmap Escaping the Endless Adolescence: How We Can Help Our Teenagers Grow Up Before They Grow Old for building and operating ML based trading strategies This book is great but goodness is the author pretentious This book is an apology of his own work with countless self uotes Before stating anything true he has to say how everybody else is wrong It makes an otherwise good book tedious to read The book is aragmented collection of models and practices developed by the author key references are his own articles I think it is difficult to Dogs Behaving Badly: An A-Z Guide to Understanding and Curing Behavorial Problems in Dogs find in the book understanding of efficient practices and state of the art technologies related to the title. Machine learning ML is changing virtually every aspect of our lives Today ML algorithms accomplish tasks that until recently only expert humans could perform As it relates toinance this is the most exciting time to adopt a disruptive technology that will transform how everyone invests or generations Readers will learn how to structure Big data in a way that is amenable to ML algorithms; how to conduct research with ML algorithms on that data; how to use supercomputing methods; how to backtest your discoveries while avoiding alse positives The book addresses real life problems Puckster's First Hockey Sweater faced by practitioners on a daily basis and explains scientifically sound solutions using math supported by code and examples Readers become active users who can test the proposed solutions in their particular setting Written by a recognized expert and portfolio manager this book will euip investment professionals with the groundbreaking tools needed to succeed in moderninance. Datasets Once again this code is not "For The Faint Of Heart Use "the aint of heart his use Pandas will leave even seasoned inancial developer to RTFMThere are some laws which I can overlook Strict software engineers will be irked at the code violating PEP8 It is hard to put code samples into a book so things like multiple statements per line can greatly compact the code and make it readable In chapter 20 he uses threads and processes interchangeably although they are two distinct tools Chapter 22 elt a little out of place but it seems compulsory Noir forinancial authors to include a just Renovate: Changing Who You Are by Loving Where You Are forun Gaffer final chapter There was a uick discussion at the end of Chapter 14 on performance attribution whichelt rushed and I Circumstantial Evidence feel it would be hardor the non Lone Star Justice: The First Century of the Texas Rangers financial portion of the target audience toollow These are minor items I ound at least three errors in the code which I hear have been corrected in the second printingIt is arguable that the ideas in this book could be extended to any asset class If I had to guess I would say this was often applied to trading utures although bonds euities and euity options are briefly mentioned Having spent than two decades on Euity Desks Building Cash desks building cash options systems it is refreshing to come across a book that is so comprehensive The A Chicken in Every Yard: The Urban Farm Store's Guide to Chicken Keeping first part of the book tackles the construction of a data strategy Marcos provides both theoreticaloundations as well as practical examples Island of the Lost Horses (Dora and Friends) for those building a data plant geared. Machine learning ML is changing virtually every aspect of our lives Today ML algorithms accomplish tasks that until recently only expert humans could perform As it relates toinance this is the most exciting time to adopt a disruptive technology that will transform how everyone invests or generations Readers will learn how to structure Big data in a way that is amenable to ML algorithms; how to conduct research with ML algorithms on that data; how to use supercomputing methods; how to backtest your discoveries while avoiding alse positives The book addresses real life problems God Said, Ha!: A Memoir faced by practitioners on a daily basis and explains scientifically sound solutions using math supported by code and examples Readers become active users who can test the proposed solutions in their particular setting Written by a recognized expert and portfolio manager this book will euip investment professionals with the groundbreaking tools needed to succeed in moderninance. TLDR the book is awesome it really is on another level and you will be stuck in the past if you "Don T Ingest This BookIf "t ingest this bookIf are not in the target audience I think you will ind this book hard to digest Also I have read some chapters twice and worked through the code samples so I believe I offer a perspective that other readers may be lacking Marcos has given a number of lectures titled The 7 Reasons Most Machine Learning Funds Fail you can ind the lecture slides online The seven core ideas in that lecture are covered in chapters 2 8 with other chapters offering supporting details or going On the Right Side of a Dream further in depth If you have limited time to process the book I think you would be better served by taking a deep dive on chapters 2 8 rather than skimming the whole thingThe ideas in this book work and you would be doing yourself a disservice by not reading this book Some of the ideas rangerom the common sense backtesting is not a research tool eature importance is to the heretical ordecades most Operation Iceberg : The Invasion and Conquest of Okinawa in World War II financial research has been based on over differentiated memory less series leading to spuriousorecasts and overfitting That uote was in his 7 Reasons presentation rom uantcon 2018 not the book He offers compelling arguments and solutions backed by in his 7 Reasons presentation rom uantcon 2018 not the book He offers compelling arguments and solutions backed by reviewed publications Michelin Green Guide Normandy for all his pointsThe book would be a highly valuable reference even without the code snippets but he providesunctional code and even tools to make it work on large. Machine learning ML is changing virtually every aspect of our lives Today ML algorithms accomplish tasks that until recently only expert humans could perform As it relates to inance this is the most exciting time to adopt a disruptive technology that "will transform how everyone invests or generations Readers will learn how to "transform how everyone invests or generations Readers will learn how to Big data in a way that is amenable to ML algorithms; how to conduct research with ML algorithms on that data; how to use supercomputing methods; how to backtest your discoveries while avoiding alse positives The book addresses real life problems aced by practitioners on a daily basis and explains scientifically sound solutions using math supported by code and examples Readers become active users who can test the proposed solutions in their particular setting Written by a recognized expert and portfolio manager this book will euip investment professionals with the groundbreaking tools needed to succeed in modern inance. ,