Books with author Herbert Agnes

About the author:Agnes Elsie Diana Herbert was a writer and big game hunter. The daughter of James Bateman Thorpe, she was born Agnes Elsie Diana Thorpe on the Isle of Man and grew up there. She was privately tutored. With a cousin, she visited the Canadian Rockies, where the two women taught Chinese kitchen workers in mining camps how to cook English-style food; they also tried hunting. In 1906, the two cousins left on a hunting trip to Somaliland. She first married a Mr. Herbert and became a widow some time later. In 1913, she married Archibald Thomas Stewart, a commander in the Royal Navy. Herbert was a member of the Society of Women Journalists, also serving as its vice-chair and later vice-president. She was editor of the Writers' & Artists' Yearbook from 1922 to 1929. In 1931, Herbert was named an officer of the Order of the British Empire.Works: Two Dianas in Somaliland: The Record of a Shooting Trip (1908) Isle of Man (1909) Two Dianas in Alaska (1909) The Life Story of a Lion (1911) Casuals in the Caucasus: The Diary of a Sporting Holiday (1912) The Moose (1913) The Elephant (1917) Northumberland. Painted by A. Heaton Cooper. Described by Agnes Herbert (1923) Korea (1924)This book published in 1912 has been reformatted for the Kindle and may contain an occasional defect from the original publication or from the reformatting.

Do you want to learn about data science but aren't in the mood to read a boring textbook?This data science book could be the answer you're looking for...Data science has a huge impact on how companies conduct business, and those who don't learn about this revolutionaryfield could be left behind. You see, data science will help you make better decisions, know what products and services to release, and how to provide better service to your customers. And it is all done by collecting and sorting through a large amount of information, so you have the right sources behind you when you make a major decision. In this guidebook, you will discover more about data science and how to get started in this field.This book will discuss the following topics:What is data science?How Big Data works and why it is so importantHow to do an explorative data analysisWorking with data miningHow to mine text to get the dataSome amazing machine learning algorithms to help with data scienceHow to do data modelingData visualizationHow to use data science to help your business growTips to help you get started with data scienceAnd much, much more!So if you are ready to get started with data science, click "buy now"!

If you're at the beginner stage and are looking to gain new knowledge about machine learning then keep reading...WARNING: Do not read this book if you're looking for a boring textbook containing a lot of dry math and programming lingo.Every day, someone is putting down a book on machine learning and giving up on learning about this revolutionary topic.How many of them miss out on furthering their career, and perhaps even the progress of our species...without even realizing?You see, most beginners make the same mistake when first delving into the topic of machine learning.They start off with a resource containing too many unrelatable facts, math, and programming lingo that will put them to sleep rather than ignite their passion.But that is about to change...This new book on machine learning will explain the concepts, methods and history behind machine learning, including how our computers became vastly more powerful but infinitely stupider than ever before and why every tech company and their grandmother want to keep track of us 24/7, siphoning data points from our electronic devices to be crunched by their programs that then become virtual crystal balls, predicting our thoughts before we even have them. Most of the book reads like science fiction because in a sense it is, far beyond what an average person would be willing to believe is happening.Here are some of the topics that are discussed in this book:What is machine learning?What’s the point of machine learning?History of machine learningNeural networksMatching the human brainArtificial IntelligenceAI in literatureTalking, walking robotsSelf-driving carsPersonal voice-activated assistantsData miningSocial networksBig DataShadow profilesBiometricsSelf-replicating machinesAnd much, much more!So if you want a book on machine learning that can cause some people to scream for more as oppose to falling asleep, click "Buy Now"!

Did you know that the value of data usage has increased job opportunities, but that there are few specialists?These days, everyone is aware of the role that data can play, whether it is an election, business or education. But how can you start working in a wide interdisciplinary field that is occupied with so much hype? This book, Data Science: What the Best Data Scientists Know About Data Analytics, Data Mining, Statistics, Machine Learning, and Big Data – That You Don't, presents you with a step-by-step approach to Data Science as well as secrets only known by the best Data Scientists. It combines analytical engineering, Machine Learning, Big Data, Data Mining, and Statistics in an easy to read and digest method. Data gathered from scientific measurements, customers, IoT sensors, and so on is very important only when one can draw meaning from it. Data Scientists are professionals that help disclose interesting and rewarding challenges of exploring, observing, analyzing, and interpreting data. To do that, they apply special techniques that help them discover the meaning of data. Becoming the best Data Scientist is more than just mastering analytic tools and techniques. The real deal lies in the way you apply your creative ability like expert Data Scientists. This book will help you discover that and get you there. The goal with Data Science: What the Best Data Scientists Know About Data Analytics, Data Mining, Statistics, Machine Learning, and Big Data – That You Don't is to help you expand your skills from being a basic Data Scientist to becoming an expert Data Scientist ready to solve real-world data centric issues. At the end of this book, you will learn how to combine Machine Learning, Data Mining, analytics, and programming, and extract real knowledge from data. As you read, you will discover important statistical techniques and algorithms that are helpful in learning Data Science. When you have finished, you will have a strong foundation to help you explore many other fields related to Data Science. This book will discuss the following topics:What Data Science isWhat it takes to become an expert in Data ScienceBest Data Mining techniques to apply in dataData visualizationLogistic regressionData engineeringMachine LearningBig Data AnalyticsAnd much more!Don’t waste any time. Grab your copy today and learn quick tips from the best Data scientists!

Excerpt from Casuals in the Caucasus: The Diary of a Sporting HolidayThinking on the frosty Caucasus. Richard II.Will you go with me? Much Ado About Nothing.Met together to rehearse a play. Midsummer Night's Dream.At the gate of Europe is an alluring, beckoning, magical country, where the centuries mingle in confused contrast, and Nature plays protagonist to herself.The Caucasus.Does not the very name breathe the weird suggestive mystery of a primitive environment, the rough-hewn fascination of barbaric peoples?Nowhere else in all the world can be found so myriad-minded and romantic a land, so many-sided, so rich in colours and fertile in forms.About the PublisherForgotten Books publishes hundreds of thousands of rare and classic books. Find more at www.forgottenbooks.comThis book is a reproduction of an important historical work. Forgotten Books uses state-of-the-art technology to digitally reconstruct the work, preserving the original format whilst repairing imperfections present in the aged copy. In rare cases, an imperfection in the original, such as a blemish or missing page, may be replicated in our edition. We do, however, repair the vast majority of imperfections successfully; any imperfections that remain are intentionally left to preserve the state of such historical works.

Say goodbye to scratching your head in confusionThis data analytics book could be the answer you're looking for...This book has lots of valuable eye-opening information about data analytics, which will help you understand the concept of data mining, data collection, big data analytics for business and business intelligence concepts.With this book, not only will you understand all the internal nitty-gritties about data analytics, you will also understand why data analytics is changing the business arena. You’ll realize that the high-performance analytics will enable you to do stuff that you never thought about before probably because the volumes of data were just too big (among other reasons) and so much more.We’ll begin by first examining what data analytics really means and what it entails. Do not fret when you meet challenging terms as you read on, as this book includes detailed explanations of words you may not understand.Here are just some of the topics that are discussed within this book:Overview Of Data Analytics: What Is Data Analytics (And Big Data Analytics)?Data Analytics And Business IntelligenceData Analysis And Data AnalyticsData MiningData CollectionTypes Of Data AnalyticsThe Process: The Lifecycle Of Big Data AnalyticsBehavioral Analytics: Using Big Data Analytics To Find Hidden Customer Behavior PatternsFurther Pattern Discovery In Advanced Analytics: Machine LearningAnd Much, Much MoreSo, what are you waiting for? Start your learning now by downloading this magnificent book

Lang:- eng, Pages 426. Reprinted in 2015 with the help of original edition published long back[1912]. This book is in black & white, Hardcover, sewing binding for longer life with Matt laminated multi-Colour Dust Cover, Printed on high quality Paper, re-sized as per Current standards, professionally processed without changing its contents. As these are old books, there may be some pages which are blur or missing or black spots. If it is multi volume set, then it is only single volume. We expect that you will understand our compulsion in these books. We found this book important for the readers who want to know more about our old treasure so we brought it back to the shelves. (Customisation is possible). Hope you will like it and give your comments and suggestions.Original Title:- Casuals in the Caucasus; the diary of a sporting holiday 1912 [Hardcover] Author:- Herbert, Agnes

3 comprehensive manuscripts in 1 bookMachine Learning: An Essential Guide to Machine Learning for Beginners Who Want to Understand Applications, Artificial Intelligence, Data Mining, Big Data and MoreNeural Networks: An Essential Beginners Guide to Artificial Neural Networks and their Role in Machine Learning and Artificial IntelligenceDeep Learning: An Essential Guide to Deep Learning for Beginners Who Want to Understand How Deep Neural Networks Work and Relate to Machine Learning and Artificial IntelligenceEvery day, someone is putting down a book on machine learning and giving up on learning about this revolutionary topic.How many of them miss out on furthering their career, and perhaps even the progress of our species...without even realizing?You see, most beginners make the same mistake when first delving into the topic of machine learning.They start off with a resource containing too many unrelatable facts, math, and programming lingo that will put them to sleep rather than ignite their passion.But that is about to change...This new book on machine learning will explain the concepts, methods and history behind machine learning, including how our computers became vastly more powerful but infinitely stupider than ever before and why every tech company and their grandmother want to keep track of us 24/7, siphoning data points from our electronic devices to be crunched by their programs that then become virtual crystal balls, predicting our thoughts before we even have them. Most of the book reads like science fiction because in a sense it is, far beyond what an average person would be willing to believe is happening.Here are some of the topics that are discussed in part 1 of this book:What is machine learning?What’s the point of machine learning?History of machine learningNeural networksMatching the human brainArtificial IntelligenceAI in literatureTalking, walking robotsSelf-driving carsPersonal voice-activated assistantsData miningSocial networksBig DataShadow profilesBiometricsSelf-replicating machinesAnd much, much more!Here are some of the topics that are discussed in part 2 of this book:Programming a smart(er) computerCompositionGiving neural networks legs to stand onThe magnificent wetwarePersonal assistantsTracking users in the real worldSelf-driving neural networksTaking everyone’s jobQuantum leap in computingAttacks on neural networksNeural network warGhost in the machineNo backlashAnd Much, Much MoreHere are some of the topics that are discussed in part 3 of this book:Improving the Scientific MethodHow It All StartedAppeasing the Rebellious SpiritsQuantum Approach To ScienceThe Replication CrisisEvolving the Machine BrainThe Future of Deep LearningMedicine with the Help of a Digital GenieAnd Much, Much MoreSo if you want to learn about machine learning, click "buy now"!

Excerpt from Two Dianas in Somaliland: The Record of a Shooting TripMy cousin is a wonderful shot, and I am by no means a duffer with a rifle. As to our courage - well, we could only trust we had sufficient to carry us through. We felt we had, and with a woman intuition is everything. If she feels she is not going to fail, you may take it from me she won't. Certainly it is one thing to look a lion in the face from England to gazing at him in Somaliland. But we meant to meet him somehow.Gradually and very carefully we amassed our stores, and arranged for their meeting us in due course. We collected our kit, medicines, and a thousand and one needful things, and at last felt we had almost every thing, and yet as little as possible. Even the little seemed' too much as we reflected on the transport difficulty. We sorted our things most carefully - I longed for the floor-space of a cathedral to use as a spreading-out ground - and glued a list of the contents of each packing-case into each lid.About the PublisherForgotten Books publishes hundreds of thousands of rare and classic books. Find more at www.forgottenbooks.comThis book is a reproduction of an important historical work. Forgotten Books uses state-of-the-art technology to digitally reconstruct the work, preserving the original format whilst repairing imperfections present in the aged copy. In rare cases, an imperfection in the original, such as a blemish or missing page, may be replicated in our edition. We do, however, repair the vast majority of imperfections successfully; any imperfections that remain are intentionally left to preserve the state of such historical works.

This work has been selected by scholars as being culturally important, and is part of the knowledge base of civilization as we know it. This work was reproduced from the original artifact, and remains as true to the original work as possible. Therefore, you will see the original copyright references, library stamps (as most of these works have been housed in our most important libraries around the world), and other notations in the work. This work is in the public domain in the United States of America, and possibly other nations. Within the United States, you may freely copy and distribute this work, as no entity (individual or corporate) has a copyright on the body of the work.As a reproduction of a historical artifact, this work may contain missing or blurred pages, poor pictures, errant marks, etc. Scholars believe, and we concur, that this work is important enough to be preserved, reproduced, and made generally available to the public. We appreciate your support of the preservation process, and thank you for being an important part of keeping this knowledge alive and relevant.

This work has been selected by scholars as being culturally important, and is part of the knowledge base of civilization as we know it. This work was reproduced from the original artifact, and remains as true to the original work as possible. Therefore, you will see the original copyright references, library stamps (as most of these works have been housed in our most important libraries around the world), and other notations in the work. This work is in the public domain in the United States of America, and possibly other nations. Within the United States, you may freely copy and distribute this work, as no entity (individual or corporate) has a copyright on the body of the work.As a reproduction of a historical artifact, this work may contain missing or blurred pages, poor pictures, errant marks, etc. Scholars believe, and we concur, that this work is important enough to be preserved, reproduced, and made generally available to the public. We appreciate your support of the preservation process, and thank you for being an important part of keeping this knowledge alive and relevant.