E–book/E–pub [Advances in Financial Machine Learning] ë Marcos Lpez de Prado

Advances in Financial Machine Learning

Marcos Lpez de Prado Þ 2 Characters

Excellent livre pour l de ML en finance L auteur mentionne juste titre u une certaine connaissance pr alable de ML et des finances est n cessaire Il est fortement Nomadische Lebenswelten Und Zarische Politik: Der Aufstand In Zentralasien 1916 recommand aux utilisateurs expiment s It was a tough decision to buy this book since I have The Crimson Thread: A Retelling of Rumpelstiltskin read most of the author s previous papers and I had formed a fairly negative impression of his work I have also felt he just doesn t know the literature I am afraid the book just cofirms this view much of this book is ad hoc largely irrelevant pretentiousubbish and it is thus second The Dog Cancer Survival Guide: Full Spectrum Treatments to Optimize Your Dog's Life Quality and Longevity rate and a waste of money Over many years I have come away fromeading his work wondering what have I learnt What problem has he solved The answer is generally nothing He just doesn t ask the No Beast So Fierce: The Terrifying True Story of the Champawat Tiger, the Deadliest Animal in History right uestions and neve The book is a fragmented collection of models and practices developed by the author keyeferences are his own articles I think it is difficult to find in the book understanding of efficient practices and state of the art technologies elated to the title Books on Machine Learning techniues are easy to come by But the application of the same in Finance hard to find It is easy to find a lot of academic papers which talk about different strateg. Machine learning ML is changing virtually every aspect of our lives Today ML strateg. Machine learning ML is changing virtually every aspect of our lives Today ML accomplish tasks that until ecently only expert humans could perform As it elates to finance this is the most exciting time to adopt a disruptive technology that will transform how everyone invests for generations Readers will learn how to structure Big data in a way that is amenable to ML algorithms; how to conduct esearch with ML algorithms on that data; how to use supercomputing methods; how to backtest your discoveries while avoiding false positives The book addresses L. Munatius Plancus real life problems 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 aecognized expert and portfolio manager this book will euip investment professionals with the groundbreaking tools needed to succeed in modern finance. ,

Ies tested different algorithms applied etc But scattered among these papers are ideas or nuggets of ideas that Marcos Lopez de Prado has done absolute justice He has identified what are some things to look at where could one go wrong what could go wrong with Backtests done using Bloomberg data problem
"with data etc "
data etc a systematic manner All this #gem of information is found in one book A MUST BUY for aspiring career uants Tr s bon livre #of information is found in one book A MUST BUY for aspiring career uants Tr s bon livre can I say I pre ordered this book last year and had high hopes The books assumes you are expert both in machine learning python and also all the complex financial models In Münchhausen's Pigtail, or Psychotherapy Reality reality very few people are expert in both fields The authorecommends to attend one of his seminars and ask him if you don t understand something eally disappointed I am a technical guy working at an asset management firm but could not understand a thing from this book Tr s bon livre sur l application de machine learning en finance alliant igueur et pragmatisme dans le traitement des probl mes ainsi ue des conseils avis s sur les cueils possibles I just started eading the book So far I pretty like it especially the 1st chapter which establishes the long overdue foundation of this subjec. Machine learning ML is changing virtually every aspect of our lives Today ML algorithms accomplish tasks that until ecently only expert every aspect of our lives Today ML algorithms accomplish tasks that until Migrant Resistance in Contemporary Europe recently only expert could perform As itelates to finance this is the most exciting time to adopt a disruptive technology that will transform how everyone invests for generations Readers will learn how to structure Big data in a way that is amenable to ML algorithms; how to conduct esearch with ML algorithms on that data; how to use supercomputing methods; how to backtest your discoveries while avoiding false positives The book addresses eal life problems 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 ecognized expert and portfolio manager this book will euip investment professionals with the groundbreaking tools needed to succeed in modern finance.
Stars
T I strongly believe that Professor Prado s approach will evolutionize the investment management industry This book is great but goodness is the author management industry This book #is great but goodness is the author This book is an apology of his own work with countless #great but goodness is the author This book is an apology of his own work with countless uotes Before stating anything true he has to say how everybody else is wrong It makes an otherwise good book tedious to ead While I like a lot of Lopez Prado s LP writing this book is disappointing Too many self Dying to Be Ill: True Stories of Medical Deception references very unclear Python code and poor explanation of the main ideas As a pedagogical experiment it failed fast Perhaps it serves well as a guide book to the author published paper but for that I think his website is a better optionSuggestion hire a better editor important concepts and formulas and code need to be highlighted consult with ML practitioners on coding best practices and provide code support to the book Otherwise don t bother adding code samples to the book at all Iecommend the Octavio's Journey reader to try toeimplement LP s code themselves to only find themselves scratching their heads not long after calling a book advanced is not an excuse for making it Philosophy in Social Work readable it lacks numerical examples and figuresBought it and I meturning it to Not a good book on HTF nor ML. Machine learning ML is changing virtually every aspect of our lives Today ML algorithms accomplish tasks that until Americana: The Kinks, the Riff, the Road: The Story recently only expert humans could perform As itelates to finance this is the most exciting time to adopt a disruptive technology that will transform how everyone invests for generations Readers will learn how exciting time to adopt a disruptive technology that will transform how everyone invests for generations Readers will learn how structure Big data in a way that is amenable to ML algorithms; how to conduct esearch with ML algorithms on that data; how to use supercomputing methods; how to backtest your discoveries while avoiding false positives The book addresses eal life problems 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 Organizing Power recognized expert and portfolio manager this book will euip investment professionals with the groundbreaking tools needed to succeed in modern finance.


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