Book picks similar to
Tensorflow Deep Learning Projects by Luca Massaron
programming
deep-learning
fucking-expensive-in-turkey
machine-learning
Machine Learning: New and Collected Stories
Hugh Howey - 2017
These stories explore everything from artificial intelligence to parallel universes to video games, and each story is accompanied by an author’s note exploring the background and genesis of each story. Howey’s incisive mind makes Machine Learning: New and Collected Stories a compulsively readable and thought-provoking selection of short works—from a modern master at the top of his game.
Neural Networks and Deep Learning
Michael Nielsen - 2013
The book will teach you about:* Neural networks, a beautiful biologically-inspired programming paradigm which enables a computer to learn from observational data* Deep learning, a powerful set of techniques for learning in neural networksNeural networks and deep learning currently provide the best solutions to many problems in image recognition, speech recognition, and natural language processing. This book will teach you the core concepts behind neural networks and deep learning.
Bourbon Street Shorts
Deanna Chase - 2020
The tree is decorated, the mistletoe is in place, and the crab puffs are to die for. Nothing can spoil this celebration…except for some wayward magic and a pesky ghost who crashes the party.SPIRITS OF BOURBON STREETIt’s Halloween on Bourbon Street, and white witch Jade Calhoun is ready to party. But when a sexy spirit traps everyone in the past, she’s forced to forgo the cocktails in order to save those she loves...again.A MIRACLE ON BOURBON STREETIt’s Christmas Eve and Jade Calhoun’s ready for a quiet, magical night with her husband Kane. But when Santa demons and energy-stealing elves start wreaking havoc, it’s going to take a miracle on Bourbon Street to save Christmas.A BOURBON STREET VALENTINEIt’s Valentine’s Day and magic’s in the air. Only Kat Hart never expected her handmade jewelry to be at the center of everything. So when her night out at Cupid’s Ball turns into a competition to be a handsome stranger’s wife, it’s up to her to break the spell…or she might get more than she bargained for.SPIRITS, HURRICANES, AND THE KREWE OF GHOULIt’s Halloween and Pyper Rayne’s all vamped up, ready to play the vampire bride. And so is Ida May, her resident ghost. But when the “vampires” they're partying with start to appear to be real, there’s more at stake than just a little bite.KISSED BY TEMPTATIONThe last place sex-witch Mati Ballintine wants to be is at a holiday sorority party. But when the high angel from the council orders her to protect a new angel recruit, she has no choice but to go and grit her teeth through the frat boys’ advances.
The night turns from bad to worse when a demon appears and is hell-bent on taking the angel to Hell. Mati and her incubus boyfriend Vaughn will need to combine forces to not only save the angel, but everyone else the demon leaves in his wake.
Spark: The Definitive Guide: Big Data Processing Made Simple
Bill Chambers - 2018
With an emphasis on improvements and new features in Spark 2.0, authors Bill Chambers and Matei Zaharia break down Spark topics into distinct sections, each with unique goals.
You’ll explore the basic operations and common functions of Spark’s structured APIs, as well as Structured Streaming, a new high-level API for building end-to-end streaming applications. Developers and system administrators will learn the fundamentals of monitoring, tuning, and debugging Spark, and explore machine learning techniques and scenarios for employing MLlib, Spark’s scalable machine-learning library.
Get a gentle overview of big data and Spark
Learn about DataFrames, SQL, and Datasets—Spark’s core APIs—through worked examples
Dive into Spark’s low-level APIs, RDDs, and execution of SQL and DataFrames
Understand how Spark runs on a cluster
Debug, monitor, and tune Spark clusters and applications
Learn the power of Structured Streaming, Spark’s stream-processing engine
Learn how you can apply MLlib to a variety of problems, including classification or recommendation
Thor's Wolf
Emma Prince - 2018
But when entrancing Pict thrall Bridget falls into Thorolf’s arms begging for help, Thorolf cannot resist the golden-haired beauty’s pleas. He risks his life to spirit her safely back to her homeland, despite vowing never to return to Pictland. Now he must choose between guarding the truth of his past or giving his heart to the brave woman who heals him with her merest touch. A fated future… After being shunned by her people for possessing the gift of Touch, Bridget resigns herself to a solitary life on the outskirts of her village. When Viking raiders capture her and deliver her to their cruel Jarl, she fears that this new nightmare may never end. Yet within Thorolf’s protective embrace, Bridget lets herself hope for not only the shelter his strong arms promise, but also the acceptance her own people denied her. But when the truth of both of their pasts comes to light, will fate rip them apart forever? This novella-length Viking historical romance is part of the Viking Lore Series, but can also be enjoyed as a standalone story. Start reading today!
Deep Learning
John D. Kelleher - 2019
When we use consumer products from Google, Microsoft, Facebook, Apple, or Baidu, we are often interacting with a deep learning system. In this volume in the MIT Press Essential Knowledge series, computer scientist John Kelleher offers an accessible and concise but comprehensive introduction to the fundamental technology at the heart of the artificial intelligence revolution.Kelleher explains that deep learning enables data-driven decisions by identifying and extracting patterns from large datasets; its ability to learn from complex data makes deep learning ideally suited to take advantage of the rapid growth in big data and computational power. Kelleher also explains some of the basic concepts in deep learning, presents a history of advances in the field, and discusses the current state of the art. He describes the most important deep learning architectures, including autoencoders, recurrent neural networks, and long short-term networks, as well as such recent developments as Generative Adversarial Networks and capsule networks. He also provides a comprehensive (and comprehensible) introduction to the two fundamental algorithms in deep learning: gradient descent and backpropagation. Finally, Kelleher considers the future of deep learning—major trends, possible developments, and significant challenges.
Geek Girl - Books 1, 2 and 3
John Zakour - 2019
This is an exciting and funny story about a geek girl named Maya. Yes, she is a geek, a very cool geek at that, and when Maya and her family move into the old three-story house that belonged to Maya’s grandpa, she is not prepared for what lies waiting. Before long, her life becomes an incredible new adventure. With the encouragement of her best friend, Tammy, Maya learns to tackle many challenges, including Dexter Rose, the boy Maya has a little crush on (a very little one), and who is also her biggest class rival. If you’re a fan of the Diary of a Super Girl series, you are sure to enjoy this series too! It’s a fabulous series for girls 9 – 12.
Dallas Billionaires Bundle
Kirsten Osbourne - 2013
Ten years later, they’re all billionaires, but they’re still alone. Follow the three men through their journeys to find true love as they each find their perfect bride.Steven: When the younger sister of a woman he used to date shows up at his house with a child she claims is his, he convinces her they’d be better off living with him than simply taking child support from him. He finds himself wildly attracted to the new “nanny” and sets out to win her heart.Justin: When a relatively new employee comes to his office to talk about some trouble in the Human Resources department, Justin feels such a strong physical attraction to her, he’s ready to throw all his beliefs about dating a subordinate out the window. Sarah takes one look at Justin, and knows she wants nothing more than to be his. Will they be able to get past the fact they work closely together and make the relationship work?Cody: After being rear-ended by a beautiful woman on his way home from the Super Bowl, Cody realizes he’s found the only woman in the world who is just right for him. How could he possibly have fallen for the only woman in the world so independent that his billions are a liability?
The Four Streets Saga
Nadine Dorries - 2016
Set in the Irish Catholic community of 1950s Liverpool and in Ireland, this is a saga of working class families, living on the edge of poverty yet bound together by humour and loyalty, gossip, grumbling and endless cups of tea. It is also the gripping, moving - and shocking - story of a girl betrayed by a man trusted and revered by the people of the Four Streets and of that community’s revenge, played out over the course of a drama in three acts: THE FOUR STREETS, HIDE HER NAME and THE BALLYMARA ROAD.
The Beano presents Dennis the Menace and Gnasher Vol. 13: Tanks For the Menacing!
Nigel Parkinson
Run for cover, the Menaces are back in action! There's a BONE-anza of Menacing on offer after a rare dinosaur bone goes missing and Dennis's best pal, Gnasher, gets the blame! Can Dennis find Gnasher and get the bone back to the museum, or are the Menace team going to end up like everything else in the museum..? HISTORY! Menaces Unite!
Texas Cowboy's Bride (Don't Mess With Texas Cowboys #6)
Barb Han - 2019
On his way home to Texas and their family’s cattle ranch, he stops to investigate a single-vehicle accident. The driver is missing, the SUV abandoned and a search into nearby woods brings him closer to a woman he tried to forget. Are you ready for more exciting suspense featuring Aiden of the Quinn family from USA TODAY Bestselling Author Barb Han?
Bayesian Reasoning and Machine Learning
David Barber - 2012
They are established tools in a wide range of industrial applications, including search engines, DNA sequencing, stock market analysis, and robot locomotion, and their use is spreading rapidly. People who know the methods have their choice of rewarding jobs. This hands-on text opens these opportunities to computer science students with modest mathematical backgrounds. It is designed for final-year undergraduates and master's students with limited background in linear algebra and calculus. Comprehensive and coherent, it develops everything from basic reasoning to advanced techniques within the framework of graphical models. Students learn more than a menu of techniques, they develop analytical and problem-solving skills that equip them for the real world. Numerous examples and exercises, both computer based and theoretical, are included in every chapter. Resources for students and instructors, including a MATLAB toolbox, are available online.
Santa Jack (Repairman Jack)
F. Paul Wilson - 2013
If you've never read a Repairman Jack story, this is a great place to start.
Speech and Language Processing: An Introduction to Natural Language Processing, Computational Linguistics and Speech Recognition
Dan Jurafsky - 2000
This comprehensive work covers both statistical and symbolic approaches to language processing; it shows how they can be applied to important tasks such as speech recognition, spelling and grammar correction, information extraction, search engines, machine translation, and the creation of spoken-language dialog agents. The following distinguishing features make the text both an introduction to the field and an advanced reference guide.- UNIFIED AND COMPREHENSIVE COVERAGE OF THE FIELDCovers the fundamental algorithms of each field, whether proposed for spoken or written language, whether logical or statistical in origin.- EMPHASIS ON WEB AND OTHER PRACTICAL APPLICATIONSGives readers an understanding of how language-related algorithms can be applied to important real-world problems.- EMPHASIS ON SCIENTIFIC EVALUATIONOffers a description of how systems are evaluated with each problem domain.- EMPERICIST/STATISTICAL/MACHINE LEARNING APPROACHES TO LANGUAGE PROCESSINGCovers all the new statistical approaches, while still completely covering the earlier more structured and rule-based methods.