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ENbook.pl

pstrongTake tiny steps to enter the big world of data science through this interesting guidestrongppbrppstrongKey Features strongpulliLearn the fundamentals of machine learning and build your own intelligent applicationsliliMaster the art of building your own machine learning systems with this example-based practical guideliliWork with important classification and regression algorithms and other machine learning techniquesliulpbrppstrongBook Description strongppData science and machine learning are some of the top buzzwords in the technical world today. A resurging interest in machine learning is due to the same factors that have made data mining and Bayesian analysis more popular than ever. This book is your entry point to machine learning.ppbrppThis book starts with an introduction to machine learning and the Python language and shows you how to complete the setup. Moving ahead, you will learn all the important concepts such as, exploratory data analysis, data preprocessing, feature 

Python Machine Learning By Example | | Hayden Liu Yuxi | Paperback | Twarda

pstrongGrasp machine learning concepts, techniques, and algorithms with the help of real-world examples using Python libraries such as TensorFlow and scikit-learnstrongp pstrongKey Featuresstrongp ulliExploit the power of Python to explore the world of data mining and data analyticsli liDiscover machine learning algorithms to solve complex challenges faced by data scientists todayli liUse Python libraries such as TensorFlow and Keras to create smart cognitive actions for your projectsliul pstrongBook Descriptionstrongp pThe surge in interest in machine learning ML is due to the fact that it revolutionizes automation by learning patterns in data and using them to make predictions and decisions. If you're interested in ML, this book will serve as your entry point to ML.p pPython Machine Learning By Example begins with an introduction to important ML concepts and implementations using Python libraries. Each chapter of the book walks you through an industry adopted application. You'll impl

Python Machine Learning By Example | Second Edition | | Hayden Liu Yuxi | Twarda

pIn the second edition of this practical book, four Cloudera data scientists present a set of self-contained patterns for performing large-scale data analysis with Spark. The authors bring Spark, statistical methods, and real-world data sets together to teach you how to approach analytics problems by example. Updated for Spark 2.1, this edition acts as an introduction to these techniques and other best practices in Spark programming. p You'll start with an introduction to Spark and its ecosystem, and then dive into patterns that apply common techniques--including classification, clustering, collaborative filtering, and anomaly detection--to fields such as genomics, security, and finance. p If you have an entry-level understanding of machine learning and statistics, and you program in Java, Python, or Scala, you'll find the book's patterns useful for working on your own data applications. p With this book, you will ul liFamiliarize yourself with the Spark programming model liBecome comf

Advanced Analytics with Spark | Ryza Sandy | Twarda

pThis book is a comprehensive guide to learning the basics of computer vision and machine learning using the powerful OpenCV library and the Python programming language. The book offers a practical, hands-on approach to learn the concepts and techniques of computer vision through practical example. All codes in this book are available at Github.ppbrppThrough a series of examples, the book covers a wide range of topics including image and video processing, feature detection, object detection and recognition, machine learning and deep neural networks. Each chapter includes detailed explanations of the concepts and techniques involved, as well as practical examples and code snippets that demonstrate how to implement them in Python. Throughout the book, readers will work through hands-on examples and projects, learning how to build image processing applications from scratch. ppbrppWhether you are a beginner or an experienced programmer, this book provides a valuable resource for learning c

Learn OpenCV with Python by Examples | Chen James | Twarda

pstrongPublisher's Note This edition from 2018 is outdated  A new second edition, completely updated for Python 3.x and its latest libraries, and TensorFlow 2.x, is now available. It features new and more practical examples executed on various platforms like TensorBoard, IBMQ, Google Dialogflow, Quirk, and more. strongp pstrongKey Featuresstrongp ul liAI-based examples to guide you in designing and implementing machine intelligenceli liDevelop your own method for future AI solutionsli liAcquire advanced AI, machine learning, and deep learning design skillsli ul pstrongBook Descriptionstrongp pArtificial intelligence has the potential to replicate humans in every field. Artificial Intelligence By Example serves as a starting point for you to understand how AI is built, with the help of intriguing examples and case studies.p pArtificial Intelligence By Example will make you an adaptive thinker and help you apply concepts to real-life scenarios. Using some of the most interesting AI examp

Artificial Intelligence By Example | Rothman Denis | Twarda

Learn to program fast in 155 challenges, 54 examples and 85 pagespbrppThis book is a 'gamified' approach to Python, aimed at supporting GCSE and KS3 students, with complete coverage of the GCSE programming requirements. There's no substitute for practice when it comes to learning a new skill! ppbrppPython syntax is simple to learn, but becoming an expert in writing programs to solve different kinds of problems takes a bit longer. That's why this book has a short explanation of each new statement or technique, followed by one or more examples and then loads of practice challenges.ppSome of the challenges will take you only a minute or two, using the Python Interactive window to try out new statements and get immediate results. As you get further into the book, you will be challenged to write programs to perform different kinds of tasks - for example to find the results of a calculation, write a program for a simplified cash machine, sort a list of items into alphabetical order, or to re

Python Challenge! | Heathcote Pm | Paperback | Twarda

pA comprehensive guide to get you up to speed with the latest developments of practical machine learning with Python and upgrade your understanding of machine learning ML algorithms and techniquesstrongppbrppstrongKey FeaturesstrongpulliDive into machine learning algorithms to solve the complex challenges faced by data scientists todayliliExplore cutting edge content reflecting deep learning and reinforcement learning developmentsliliUse updated Python libraries such as TensorFlow, PyTorch, and scikit-learn to track machine learning projects end-to-endliulpbrppstrongBook DescriptionstrongppPython Machine Learning By Example, Third Edition serves as a comprehensive gateway into the world of machine learning ML.ppbrppWith six new chapters, on topics including movie recommendation engine development with Na ve Bayes, recognizing faces with support vector machine, predicting stock prices with artificial neural networks, categorizing images of clothing with convolutional neural networks, pr

Python Machine Learning by Example | Third Edition | Liu Yuxi | Hayden | Twarda

pstrongA comprehensive guide to exploring modern Python through data structures, design patterns, and effective object-oriented techniquesstrongppbrppstrongKey Features strongpulliBuild an intuitive understanding of object-oriented design, from introductory to mature programsliliLearn the ins and outs of Python syntax, libraries, and best practicesliliExamine a machine-learning case study at the end of each chapterliulpbrppstrongBook Description strongppPython Object-Oriented Programming, Fourth Edition dives deep into the various aspects of OOP, Python as an OOP language, common and advanced design patterns, and hands-on data manipulation of complex design systems. These concepts are consolidated by open-ended exercises, as well as a real-world case study at the end of every chapter, newly written for this edition. All example code is now compatible with Python 3.9 syntax and has been updated with type hints for ease of learning.ppbrppSteven and Dusty provide a friendly, comprehensive

Python Object | Oriented Programming | Fourth Edition | Lott Steven F. | Twarda

Why is data science a branch of science Is data science just a catchy rebranding of statisticsData science provides tools for statistical analysis and machine learning. But, as much as application problems without tools are lame, tools without application problems are vain. Through example after example, this book presents the algorithmic aspects of statistics and show how some of the tools are applied to answer questions of interest to finance.This book champions a fundamental principle of science -- objective reproducibility of evidence independently by others. From a companion web site, readers can download many easy-to-understand Python programs and real-world data. Independently, readers can draw for themselves the figures in the book. Even so, readers are encouraged to run the statistical tests described as examples to verify their own results against what the book claims.This book covers some topics that are seldom discussed in other textbooks. They include the methods to adjust

Algorithmic Finance | Christopher Hian | Ann Ting | Twarda

EAN: 9781835085622"Liu Yuxi (Hayden)""Packt Pub"

Python Machine Learning By Example | Fourth Edition | Liu Yuxi | Hayden | Twarda

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pHow can music withstand the death and destruction brought on by war Global conflicts of the 20th century fundamentally transformed not only national boundaries, power relations, and global economies, but also the arts and culture of every nation involved. An important, unacknowledged aspect of these conflicts is that they have unique musical soundtracks. iMusic in World War IIi explores how music and sound took on radically different dimensions in the United States and Europe before, during, and after World War II. Additionally, the collection examines the impact of radio and film as the disseminators of the war's musical soundtrack. Contributors contend that the European and American soundtrack of World War II was largely one of escapism rather than the lofty, solemn, heroic, and celebratory mode of war music in the past. Furthermore, they explore the variety of experiences of populations forced from their homes and interned in civilian and POW camps in Europe and the United States, 

Music in World War II | Potter Pamela M. | Twarda

ENdisc.pl

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