This eBook features the unabridged text of ‘Erasmus Darwin by Charles Darwin - Delphi Classics (Illustrated)’ from the bestselling edition of ‘The Complete Works of Charles Darwin’. Having established their name as the leading publisher of classic literature and art, Delphi Classics produce publications that are individually crafted with superior formatting, while introducing many rare texts for the first time in digital print. The Delphi Classics edition of Darwin includes original annotations and illustrations relating to the life and works of the author, as well as individual tables of contents, allowing you to navigate eBooks quickly and easily. eBook features: * The complete unabridged text of ‘Erasmus Darwin by Charles Darwin - Delphi Classics (Illustrated)’ * Beautifully illustrated with images related to Darwin’s works * Individual contents table, allowing easy navigation around the eBook * Excellent formatting of the text Please visit www.delphiclassics.com to learn more about our wide range of titles

This eBook features the unabridged text of ‘The Autobiography of Charles Darwin by Charles Darwin - Delphi Classics (Illustrated)’ from the bestselling edition of ‘The Complete Works of Charles Darwin’. Having established their name as the leading publisher of classic literature and art, Delphi Classics produce publications that are individually crafted with superior formatting, while introducing many rare texts for the first time in digital print. The Delphi Classics edition of Darwin includes original annotations and illustrations relating to the life and works of the author, as well as individual tables of contents, allowing you to navigate eBooks quickly and easily. eBook features: * The complete unabridged text of ‘The Autobiography of Charles Darwin by Charles Darwin - Delphi Classics (Illustrated)’ * Beautifully illustrated with images related to Darwin’s works * Individual contents table, allowing easy navigation around the eBook * Excellent formatting of the text Please visit www.delphiclassics.com to learn more about our wide range of titles

This eBook features the unabridged text of ‘Robinson Crusoe by Daniel Defoe - Delphi Classics (Illustrated)’ from the bestselling edition of ‘The Complete Works of Daniel Defoe’. Having established their name as the leading publisher of classic literature and art, Delphi Classics produce publications that are individually crafted with superior formatting, while introducing many rare texts for the first time in digital print. The Delphi Classics edition of Defoe includes original annotations and illustrations relating to the life and works of the author, as well as individual tables of contents, allowing you to navigate eBooks quickly and easily. eBook features: * The complete unabridged text of ‘Robinson Crusoe by Daniel Defoe - Delphi Classics (Illustrated)’ * Beautifully illustrated with images related to Defoe’s works * Individual contents table, allowing easy navigation around the eBook * Excellent formatting of the text Please visit www.delphiclassics.com to learn more about our wide range of titles

Learn to use scikit-learn operations and functions for Machine Learning and deep learning applications. About This Book Handle a variety of machine learning tasks effortlessly by leveraging the power of scikit-learn Perform supervised and unsupervised learning with ease, and evaluate the performance of your model Practical, easy to understand recipes aimed at helping you choose the right machine learning algorithm Who This Book Is For Data Analysts already familiar with Python but not so much with scikit-learn, who want quick solutions to the common machine learning problems will find this book to be very useful. If you are a Python programmer who wants to take a dive into the world of machine learning in a practical manner, this book will help you too. What You Will Learn Build predictive models in minutes by using scikit-learn Understand the differences and relationships between Classification and Regression, two types of Supervised Learning. Use distance metrics to predict in Clustering, a type of Unsupervised Learning Find points with similar characteristics with Nearest Neighbors. Use automation and cross-validation to find a best model and focus on it for a data product Choose among the best algorithm of many or use them together in an ensemble. Create your own estimator with the simple syntax of sklearn Explore the feed-forward neural networks available in scikit-learn In Detail Python is quickly becoming the go-to language for analysts and data scientists due to its simplicity and flexibility, and within the Python data space, scikit-learn is the unequivocal choice for machine learning. This book includes walk throughs and solutions to the common as well as the not-so-common problems in machine learning, and how scikit-learn can be leveraged to perform various machine learning tasks effectively. The second edition begins with taking you through recipes on evaluating the statistical properties of data and generates synthetic data for machine learning modelling. As you progress through the chapters, you will comes across recipes that will teach you to implement techniques like data pre-processing, linear regression, logistic regression, K-NN, Naive Bayes, classification, decision trees, Ensembles and much more. Furthermore, you'll learn to optimize your models with multi-class classification, cross validation, model evaluation and dive deeper in to implementing deep learning with scikit-learn. Along with covering the enhanced features on model section, API and new features like classifiers, regressors and estimators the book also contains recipes on evaluating and fine-tuning the performance of your model. By the end of this book, you will have explored plethora of features offered by scikit-learn for Python to solve any machine learning problem you come across. Style and Approach This book consists of practical recipes on scikit-learn that target novices as well as intermediate users. It goes deep into the technical issues, covers additional protocols, and many more real-live examples so that you are able to implement it in your daily life scenarios.

This eBook features the unabridged text of ‘The Gipsies by Alexander Pushkin - Delphi Classics (Illustrated)’ from the bestselling edition of ‘The Collected Works of Alexander Pushkin’. Having established their name as the leading publisher of classic literature and art, Delphi Classics produce publications that are individually crafted with superior formatting, while introducing many rare texts for the first time in digital print. The Delphi Classics edition of Pushkin includes original annotations and illustrations relating to the life and works of the author, as well as individual tables of contents, allowing you to navigate eBooks quickly and easily. eBook features: * The complete unabridged text of ‘The Gipsies by Alexander Pushkin - Delphi Classics (Illustrated)’ * Beautifully illustrated with images related to Pushkin’s works * Individual contents table, allowing easy navigation around the eBook * Excellent formatting of the text Please visit www.delphiclassics.com to learn more about our wide range of titles

Neural Networks and their implementation decoded with TensorFlow About This Book Develop a strong background in neural network programming from scratch, using the popular Tensorflow library. Use Tensorflow to implement different kinds of neural networks – from simple feedforward neural networks to multilayered perceptrons, CNNs, RNNs and more. A highly practical guide including real-world datasets and use-cases to simplify your understanding of neural networks and their implementation. Who This Book Is For This book is meant for developers with a statistical background who want to work with neural networks. Though we will be using TensorFlow as the underlying library for neural networks, book can be used as a generic resource to bridge the gap between the math and the implementation of deep learning. If you have some understanding of Tensorflow and Python and want to learn what happens at a level lower than the plain API syntax, this book is for you. What You Will Learn Learn Linear Algebra and mathematics behind neural network. Dive deep into Neural networks from the basic to advanced concepts like CNN, RNN Deep Belief Networks, Deep Feedforward Networks. Explore Optimization techniques for solving problems like Local minima, Global minima, Saddle points Learn through real world examples like Sentiment Analysis. Train different types of generative models and explore autoencoders. Explore TensorFlow as an example of deep learning implementation. In Detail If you're aware of the buzz surrounding the terms such as "machine learning," "artificial intelligence," or "deep learning," you might know what neural networks are. Ever wondered how they help in solving complex computational problem efficiently, or how to train efficient neural networks? This book will teach you just that. You will start by getting a quick overview of the popular TensorFlow library and how it is used to train different neural networks. You will get a thorough understanding of the fundamentals and basic math for neural networks and why TensorFlow is a popular choice Then, you will proceed to implement a simple feed forward neural network. Next you will master optimization techniques and algorithms for neural networks using TensorFlow. Further, you will learn to implement some more complex types of neural networks such as convolutional neural networks, recurrent neural networks, and Deep Belief Networks. In the course of the book, you will be working on real-world datasets to get a hands-on understanding of neural network programming. You will also get to train generative models and will learn the applications of autoencoders. By the end of this book, you will have a fair understanding of how you can leverage the power of TensorFlow to train neural networks of varying complexities, without any hassle. While you are learning about various neural network implementations you will learn the underlying mathematics and linear algebra and how they map to the appropriate TensorFlow constructs. Style and Approach This book is designed to give you just the right number of concepts to back up the examples. With real-world use cases and problems solved, this book is a handy guide for you. Each concept is backed by a generic and real-world problem, followed by a variation, making you independent and able to solve any problem with neural networks. All of the content is demystified by a simple and straightforward approach.

Η πρωτοφαν?? οικονομικ? κρ?ση απ? την οπο?α δοκιμ?ζεται σκληρ? η ελληνικ? κοινων?α τα τελευτα?α ?τη, αναμ?νεται να ?χει αλλ?ξει εν πολλο?? τι? συν?θειε? και τον τρ?πο ζω??, ?πω? και τι? αντιλ?ψει? του μ?σου πολ?τη, τη φιλοσοφ?α του για το τρ?πτυχο "οικονομ?α-κοινων?α-περιβ?λλον", τι? προτεραι?τητ?? του και του? στ?χου? του. Ενδιαφ?ρον ε?ναι να διερευνηθε? αν η ανταπ?κρισ? του ε?ναι η αδιαφορ?α για το περιβ?λλον με πρ?κριση τη? επιβ?ωση? και του προσωπικο? του συμφ?ροντο?, ? αν καθιστ?ντα? την κρ?ση "ευκαιρ?α" στοχε?ει, με μακροπρ?θεσμη προοπτικ?, σε αμοιβα?ο ?φελο? του ιδ?ου και τη? κοινων?α?. Βασισμ?νη σε ?ρευνα ερωτηματολογ?ου με 1900 συμμετ?χοντε? εντ?? τη? ελληνικ?? επικρ?τεια? (Αττικ?, υπ?λοιπη Στερε? Ελλ?δα, Κεντρικ? Μακεδον?α, Κρ?τη, Ηπειρο?, Β?ρειο Αιγα?ο) και εκτ?? αυτ??, η μελ?τη επιχειρε? την αποτ?πωση και τη διερε?νηση τη? σ?νδεση? περιβ?λλοντο? και κοινωνικοοικονομικων αιτ?ων και επιπτ?σεων, ? αλλι?? τη? σ?νδεση? περιβαλλοντικ?ν και κοινωνικοοικονομικ?ν παραμ?τρων. Επιχειρε? τη διαμ?ρφωση "ειδικο? περιβαλλοντικο? βαρ?μετρου", δεδομ?νη? τη? υφιστ?μενη? οικονομικ?? κρ?ση?, για τι? αντ?στοιχε? τ?σει? και διαφαιν?μενε? προοπτικ?? στην Ελλ?δα και διεθν??. Ομ?δα - στ?χο του ερωτηματολογ?ου αποτ?λεσαν οι μ?σοι πολ?τε?, δηλαδ? εκε?νοι με μορφωτικ? επ?πεδο ικαν? (τουλ?χιστον δευτεροβ?θμια? εκπα?δευση?) και ηλικ?α που να αντανακλ? την ελ?χιστη απαιτο?μενη εμπειρ?α ζω??, ?στε να ε?ναι σε θ?ση να θεμελι?σουν αξι?πιστη ?ποψη β?σει τη? παρατιθ?μενη? θεματολογ?α?. Η μελ?τη αναπτ?σσεται σε δ?ο μ?ρη, θεωρητικ? και εμπειρικ?, με γενικ? συμπερ?σματα αντ? επιλ?γου, με σκοπ? την ορθ? κατ? περιεχ?μενο δι?ρθρωσ? τη? και την καλ?τερη καταν?ηση στη σταδιακ? παρακολο?θησ? τη?. Το πρ?το μ?ρο? πραγματοποι?θηκε β?σει βιβλιογραφικ?? ανασκ?πηση? εν? το εμπειρικ? ερευνητικ? υλοποι?θηκε με την χρ?ση του ερωτηματολογ?ου. Το Α?μ?ρο? (κεφ. 1-3) περιλαμβ?νει το εννοιολογικ? περιεχ?μενο και τι? θεωρητικ?? προσεγγ?σει?, καθ?? επ?ση? και την ιστορικ? ανασκ?πηση στο θ?μα τη? σχ?ση? "οικονομ?α-κοινων?α-περιβ?λλον" με αναφορ? στη διεθν? εμπειρ?α και εστιασμ? στην περ?πτωση τη? Ελλ?δα?. Το Β? μ?ρο? (κεφ. 4-9) περιλαμβ?νει την εμπειρικ? και ερευνητικ? διαδικασ?α, με την παρ?θεση του ερωτηματολογ?ου, την αν?λυση των ερωτ?σεων με αναφορ? στι? επιδι?ξει? και του? στ?χου? που εξυπηρετο?ν, τη συλλογ? ενδεικτικ?ν πρωτογεν?ν απαντ?σεων, τη στατιστικ? αν?λυση και τα συμπερ?σματα που εξ?γονται, την επισκ?πηση απαντ?σεων και βασικ?? διαπιστ?σει? και ερμηνε?α απ?ψεων,?πω? και την αν?δειξη τη? διαμ?ρφωση? ν?ων τ?σεων. Η μελ?τη συνοδε?εται απ? εκτεν?? εποπτικ? υλικ? (διαγρ?μματα, π?νακε?, σχ?ματα, κ.?.) και μεγ?λο αριθμ? υποσημει?σεων, που καθιστο?ν πιο ευχερ?, κατανοητ? και ενδιαφ?ρουσα την παρακολο?θηση τη? μελ?τη?, αλλ? και αξι?πιστο και τεκμηριωμ?νο το περιεχ?μενο, απ? την αν?λυση των παρατιθ?μενων ερωτ?σεων ?ω? τα συμπερ?σματα. Απευθ?νεται και επιδι?κεται να ε?ναι αξιοποι?σιμη σε διεπιστημονικ? επ?πεδο, απ? επιστημονικο?? και ερευνητικο?? φορε??, απ? τον πολιτικ?, απ? τον δημ?σιο λειτουργ?, αλλ? πρωτ?στω? απ? τον μ?σο πολ?τη, ενθαρρ?νοντα? περαιτ?ρω την αναζ?τηση και τη δραστηριοπο?ηση σε θετικ?? και αποτελεσματικ?? εν?ργειε? στο αντ?στοιχο ευρ? πεδ?ο. Η συνολικ? διερε?νηση, η στατιστικ? επεξεργασ?α, η αν?λυση και η αποκωδικοπο?ηση των απαντ?σεων καθ?? και η παροχ? ζητο?μενων ? προαιρετικ?ν εξηγ?σεων, διευκριν?σεων και παραδειγμ?των, οδηγε? στην αν?δειξη ν?ων διαστ?σεων και εμπλουτισμο? τη? συνολικ?? προβληματικ??. Παρ?λληλα παρ?χει ενδιαφ?ροντα ?σο και απροσδ?κητα δεδομ?να για τι? πεποιθ?σει? και τη στ?ση του μ?σου πολ?τη, για την ωρ?μανση και τη συνειδητοπο?ησ? του για το ρ?λο και τη συμβολ? του, τι? δυνατ?τητε? και την προοπτικ? για το περιβ?λλον ?σο και το μ?λλον του!

"Μπαμπ? υπ?ρχουν δρ?κοι;" ρ?τησε το μικρ? αγ?ρι. "Δεν ξ?ρω παιδ? μου", απ?ντησε ο μπαμπ?? χωρ?? να γυρ?σει το βλ?μμα του απ’ την εφημερ?δα που δι?βαζε εκε?νη την στιγμ?. "Πε? μου μπαμπ?, αφο? εσ? ξ?ρει? τα π?ντα", επ?μεινε το αγ?ρι. "Δεν ξ?ρω σου ε?πα παιδ? μου", ξαναε?πε ο μπαμπ?? ξεφυσ?ντα?. "Δεν ?χω συναντ?σει π?ντω? καν?ναν σε ?λη μου την ζω? μ?χρι τ?ρα", συν?χισε απρ?θυμα. "Μπαμπ?, μ?πω? υπ?ρχαν παλι? δρ?κοι; Σαν του? δειν?σαυρου?;" ?ταν η φων? του μικρο? κοριτσιο? που ακο?στηκε τ?ρα. Το κορ?τσι δεν αρκ?στηκε ?μω? μ?νο στην ερ?τηση του αλλ? σκαρφ?λωσε και π?νω στην κοιλι? του μπαμπ?, στραπατσ?ροντα? την εφημερ?δα μια και καλ?. Ο μπαμπ?? κατ?λαβε γρ?γορα ?τι δεν υπ?ρχε περ?πτωση να συνεχ?σει το δι?βασμα αν δεν ξεκαθ?ριζε τι? απορ?ε? των δ?ο παιδι?ν. "Για ελ?τε εδ? να σα? πω μια ιστορ?α που ε?χα ακο?σει ?ταν ?μουν μικρ?? σαν και σα?", του? ε?πε. "Μου την ε?χε διηγηθε? ο μπαμπ?? μου, ο παππο?? σα?, ?ταν ?μουν στην ηλικ?α σα?". Τα δυο αδ?λφια αμ?σω? π?δηξαν στην αγκαλι? του και στρογγυλοκ?θισαν στον καναπ?, ο ?να? απ? τα αριστερ? και η ?λλη απ? τα δεξι? του. "Λοιπ?ν, μια φορ? κι ?να καιρ?, ξεκ?νησε να μιλ? ο μπαμπ??, πριν πολλ? πολλ? χρ?νια, στι? παρυφ?? του πιο ψηλο? βουνο? του κ?σμου, ζο?σε ο μεγ?λο? και τραν??, ο φοβερ?? και τρομερ?? Μπλε Δρ?κο?. ?ταν γιγ?ντιο?. Το μεγαλ?τερο πλ?σμα π?νω στην Γη. Περπατο?σε περ?φανα και το ?δαφο? ταρακουνι?ταν λε? και γιν?ταν σεισμ??"...

Heidi is a delightful story of life in the Alps written by the Swiss authoress, Johanna Spyri. Her own sympathy with the instincts and longings of the child’s heart is shown in her picture of Heidi. The record of the early life of this Swiss child amid the beauties of her passionately loved mountain-home and during her exile in the great town has been for many years a favourite book of younger readers.

Μετρ? Λονδ?νου: Επτ? διαφορετικο? σταθμο? που πα?ζουν ρ?λο σε επτ? διαφορετικ?? ιστορ?ε?. Επτ? σταθμο? που επηρε?ζουν τι? ζω?? διαφ?ρων επιβατ?ν. ?να ταξ?δι απ? την γ?ννηση του μετρ? στο Λονδ?νο ?ω? και τι? μ?ρε? μα?.

This eBook features the unabridged text of ‘The Wanderings of Persiles and Sigismunda by Miguel de Cervantes - Delphi Classics (Illustrated)’ from the bestselling edition of ‘The Complete Works of Miguel de Cervantes’. Having established their name as the leading publisher of classic literature and art, Delphi Classics produce publications that are individually crafted with superior formatting, while introducing many rare texts for the first time in digital print. The Delphi Classics edition of Cervantes includes original annotations and illustrations relating to the life and works of the author, as well as individual tables of contents, allowing you to navigate eBooks quickly and easily. eBook features: * The complete unabridged text of ‘The Wanderings of Persiles and Sigismunda by Miguel de Cervantes - Delphi Classics (Illustrated)’ * Beautifully illustrated with images related to Cervantes’s works * Individual contents table, allowing easy navigation around the eBook * Excellent formatting of the text Please visit www.delphiclassics.com to learn more about our wide range of titles

George, Harris, Jerome and Montmorency, a fox terrier, are spending an evening smoking and discussing illnesses they fancy they suffer from. They conclude they are all overworked and need a holiday. The three decide on a boating holiday up the River Thames. Initially intended to be a serious travel guide, with accounts of local history along the route, the humour and witty adventures transformed the story into once of the most admirable comic novels of all times.

Oedipus enters the village of Colonus and sits down on a stone. They are approached by a villager, who demands that they leave, because that ground is sacred to the Furies, or Erinyes. Oedipus recognizes this as a sign, for when he received the prophecy that he would kill his father and marry his mother, Apollo also revealed to him that at the end of his life he would die at a place sacred to the Furies, and be a blessing for the land in which he is buried.

Challenger sends telegrams asking his three companions from The Lost World — Edward Malone, Lord John Roxton, and Professor Summerlee — to join him at his home outside of London. The cryptic telegrams also instruct each of them to bring a tank of oxygen.

In some Worlds, Society depends on Technology to expand its horizons. In the Victorian world of the Wonder, Magic is the leading light. It powers an Empire through an Industrial Revolution towards boundless possibilities, including the invasion and colonisation of any neighbours who may have reserves of Magic themselves. In the follow-up to Blood Red, heroes and villains are forced together to defend their world against a smoke belching threat believed extinct for centuries. Despite the use of ancient magic and unlikely allies, a far-flung colony is forced to its knees as betrayal and treachery spread like a virus on both sides of an old war.

Redlaw is a teacher of chemistry who often broods over wrongs done him and grief from his past life. He is haunted by a spirit, who is not so much a ghost as Redlaw's phantom twin and is an awful likeness of himself.

Dave Woolf’s enemies are much closer to home than he realises in this shocking thriller from Bernard Bannerman. The uncontainable lawyer-detective’s domestic life is under threat, haunted by ghosts from his sidekick Carson’s troubled youth in Australia and complicated by an assignment to search for a contract hitman’s wayward son. Dave and Carson are soon led to France and Switzerland, where they encounter a potentially dangerous cult, The Accord. Who are The Accord? What is the purpose of their ‘gatherings’? Can Carson escape her own past? Woolf confronts double agents, criminal masterminds and dark conspiracies while he questions the loyalties of his friends, the limits of his love and even his own sanity. Nothing is sacred and no one is safe in the sixth gripping instalment in the Dave Woolf saga.

The play begins with the god Poseidon lamenting the fall of Troy. He is joined by the goddess Athena, who is incensed by the Greek’s exoneration of Ajax the Lesser’s actions in dragging away the Trojan princess Cassandra from Athena's temple (and possibly raping her). Together, the two gods discuss ways to punish the Greeks, and conspire to destroy the home-going Greek ships in revenge.

Set in France and Louisiana, this new edition from Egoist Press follows the story of Chevalier des Grieux, the protagonist and his lover, Manon Lescaut. Des Grieux comes from a noble and landed family, but forfeits his hereditary wealth and incurs the disappointment of his father by running away with Manon. In Paris, the young lovers enjoy a blissful cohabitation, while Des Grieux struggles to satisfy Manon's taste for luxury.

Theseus, the king of Athens, is serving a year's voluntary exile after having murdered a local king and his sons. His illegitimate son Hippolytus, whose mother is the Amazon Hippolyta, has been trained here since childhood by the king of Troezen, Pittheus.

A collection of short stories by F. Scott Fitzgerald featuring some of his best work. The collection is divided into three sections: My Last Flappers, Fantasies, Unclassified Masterpieces. The author's initial intent was to use fantasies for his personal amusement. These have become most popular and include such classics as The Curious Case of Benjamin Button.