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Poker: Simple and Effective Strategies to Execute in the Game of Poker , Hörbuch, Digital, ungekürzt, 55min

Poker is a wily and multi-faceted game and the player who knows the most in any given situation is always far more likely to come out on top. While basic skills and an understanding of the technical aspects of the game will often be enough to keep you from losing your shirt, more is required if you ever want to take your game to the next level. If you want to stop simply playing poker and start winning at it, then Poker: Simple and Effective Strategies to Execute in the Game of Poker is the book you have been waiting for. Inside you will find a wide variety of basic strategies that can be put into play with only the minimum amount of practice required. You will learn numerous different betting strategies that can be put into action in numerous different scenarios including the c-bet, the 3-bet and the over-bet. You will also learn how to play from specific locations in the turn order to maximize your win rates as much as possible and more. The sheer number of games of poker being played around the world at any given moment means that there is always someone out there who is on the verge of a serious payday, with the strategies found here, there is no reason it can't be you. So, what are you waiting for? Stop playing poker and start winning at it and getting paid in the process. Take control of your financial future, buy this book today! Inside you will find: Everything you need to know about pot odds to ensure you never make the wrong decision in the moment again The differences between ratios and percentages for poker hands and why it really matters All the details for maximizing the least considered of all the Texas hold'em betting rounds A detailed breakdown of the four major types of poker players and how to triumph against each of them The best times to use the double barrel strategy for maximum results And more.... ungekürzt. Language: English. Narrator: Pete Beretta. Audio sample: https://samples.audible.de/bk/acx0/096966/bk_acx0_096966_sample.mp3. Digital audiobook in aax.

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Price: 9.95 EUR excl. shipping

The Bread Baker's Apprentice, 15th Anniversary Edition: Mastering the Art of Extraordinary Bread [A Baking Book]

WINNER OF THE JAMES BEARD AND IACP AWARD • Learn the art of bread making through techniques and recipes for making pizza dough, challah, bagels, sourdough, and more! "For the professional as well as the home cook, this book is one of the essentials for a bread baker's collection."-Nancy Silverton, chef and co-owner, Mozza Restaurant Group Co-founder of the legendary Brother Juniper's Bakery, author of ten landmark bread books, and distinguished instructor at the world's largest culinary academy, Peter Reinhart has been a leader in America's artisanal bread movement for more than thirty years. Never one to be content with yesterday's baking triumph, however, Peter continues to refine his recipes and techniques in his never-ending quest for extraordinary bread. In this updated edition of the bestselling The Bread Baker's Apprentice, Peter shares bread breakthroughs arising from his study in France's famed boulangeries and the always-enlightening time spent in the culinary college kitchen with his students. Peer over Peter's shoulder as he learns from Paris's most esteemed bakers, like Lionel Poilâne and Phillippe Gosselin, whose pain à l'ancienne has revolutionized the art of baguette making. Then stand alongside his students in the kitchen as Peter teaches the classic twelve stages of building bread, his clear instructions accompanied by more than 100 step-by-step photographs. You'll put newfound knowledge into practice with fifty master formulas for such classic breads as rustic ciabatta, hearty pain de campagne, old-school New York bagels, and the book's Holy Grail-Peter's version of the famed pain à l'ancienne, as well as three all-new formulas. En route, Peter distills hard science, advanced techniques, and food history into a remarkably accessible and engaging resource that is as rich and multitextured as the loaves you'll turn out. In this revised edition, he adds metrics and temperature conversion charts, incorporates comprehensive baker's percentages into the recipes, and updates methods throughout. This is original food writing at its most captivating, teaching at its most inspired and inspiring-and the rewards are some of the best breads under the sun.

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Price: 34.99 EUR excl. shipping

XGBoost. The Extreme Gradient Boosting for Mining Applications

Technical Report from the year 2017 in the subject Computer Science - Internet, New Technologies, grade: 8, , language: English, abstract: Tree boosting has empirically proven to be a highly effective and versatile approach for data-driven modelling. The core argument is that tree boosting can adaptively determine the local neighbourhoods of the model thereby taking the bias-variance trade-off into consideration during model fitting.Recently, a tree boosting method known as XGBoost has gained popularity by providing higher accuracy. XGBoost further introduces some improvements which allow it to deal with the bias-variance trade-off even more carefully. In this research work, we propose to demonstrate the use of an adaptive procedure i.e. Learned Loss (LL) to update the loss function as the boosting proceeds.Accuracy of the proposed algorithm i.e. XGBoost with Learned Loss boosting function is evaluated using test/train method, K-fold cross validation, and Stratified cross validation method and compared with the state of the art algorithms viz. XGBoost, AdaBoost, AdaBoost-NN, Linear Regression(LR),Neural Network(NN), Decision Tree(DT), Support Vector Machine(SVM), bagging-DT, bagging-NN and Random Forest algorithms. The parameters evaluated are accuracy, Type 1 error and Type 2 error (in Percentages). This study uses total ten years of historical data from Jan 2007 to Aug 2017 of two stock market indices CNX Nifty and S&P BSE Sensex which are highly voluminous.Further, in this research work, we will investigate how XGBoost differs from the more traditional ensemble techniques. Moreover, we will discuss the regularization techniques that these methods offer and the effect these have on the models.In addition to this, we will attempt to answer the question of why XGBoost seems to win so many competitions. To do this, we will provide some arguments for why tree boosting, and in particular XGBoost, seems to be such a highly effective and versatile approach to predictive modelling. The core argument is that tree boosting can be seen to adaptively determine the local neighbourhoods of the model. Tree boosting can thus be seen to take the bias-variance trade off into consideration during model fitting. XGBoost further introduces some improvements which allow it to deal with the bias-variance trade off even more carefully.

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Price: 25.70 EUR excl. shipping