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Python Machine Learning Blueprints
Author Alexander T. Combs
An approachable guide to applying advanced machine learning methods to everyday problemsAbout This BookPut machine learning principles into practice to solve real-world problemsGet to grips with Python's impressive range of Machine Learning libraries and framework....
Release Date 2016/07 -
Python Machine Learning - Third Edition
Author Vahid Mirjalili , Sebastian Raschka
Applied machine learning with a solid foundation in theory. Revised and expanded for TensorFlow 2, GANs, and reinforcement learning.Key FeaturesThird edition of the bestselling, widely acclaimed Python machine learning bookClear and intuitive explanations take you ....
Release Date 2019/12 -
Author Wei-Meng Lee
Python makes machine learning easy for beginners and experienced developersWith computing power increasing exponentially and costs decreasing at the same time, there is no better time to learn machine learning using Python. Machine learning tasks that once required....
Release Date 2019/04 -
Author Vahid Mirjalili , Sebastian Raschka
Unlock modern machine learning and deep learning techniques with Python by using the latest cutting-edge open source Python libraries.About This BookSecond edition of the bestselling book on Machine LearningA practical approach to key frameworks in data science, ma....
Release Date 2017/09 -
Author Eryk Lewinson
Solve common and not-so-common financial problems using Python libraries such as NumPy, SciPy, and pandasKey FeaturesUse powerful Python libraries such as pandas, NumPy, and SciPy to analyze your financial data Explore unique recipes for financial data analysis and....
Release Date 2020/01 -
Author Matthew Lamons , Rahul Kumar
Insightful practical projects to master deep learning and neural network architectures using Python, Keras and MXNetAbout This BookRich projects on computer vision, NLP, and image processingBuild your own neural network and explore innumerable possibilities with de....
Release Date 2018/11 -
Author Indra den Bakker
Solve different problems in modelling deep neural networks using Python, Tensorflow, and Keras with this practical guideAbout This BookPractical recipes on training different neural network models and tuning them for optimal performanceUse Python frameworks like Te....
Release Date 2017/10 -
Author Peter Roelants , Daniel Slater , Gianmario Spacagna , Valentino Zocca
Take your machine learning skills to the next level by mastering Deep Learning concepts and algorithms using Python.About This BookExplore and create intelligent systems using cutting-edge deep learning techniquesImplement deep learning algorithms and work with rev....
Release Date 2017/04 -
Python Artificial Intelligence Projects for Beginners
Author Joshua Eckroth
Build smart applications by implementing real-world artificial intelligence projectsKey FeaturesExplore a variety of AI projects with Python Get well-versed with different types of neural networks and popular deep learning algorithms Leverage popular Python deep le....
Release Date 2018/07 -
Python 3 Text Processing with NLTK 3 Cookbook
Author Jacob Perkins
Over 80 practical recipes on natural language processing techniques using Python's NLTK 3.0In DetailThis book will show you the essential techniques of text and language processing. Starting with tokenization, stemming, and the WordNet dictionary, you'll progress ....
Release Date 2014/08 -
Programming the Microsoft Bot Framework: A Multiplatform Approach to Building Chatbots
Author Joe Mayo
This is the only comprehensive, authoritative guide to building Conversational User Interfaces (CUI, a.k.a. bots, chatbots, or chatterbots) with the Microsoft Bot Framework. Reflecting the next radical revolution in human-computer interaction, it will help you leve....
Release Date 2017/11 -
Programming PyTorch for Deep Learning
Author Ian Pointer
Take the next steps toward mastering deep learning, the machine learning method that’s transforming the world around us by the second. In this practical book, you’ll get up to speed on key ideas using Facebook’s open source PyTorch framework and gain the latest ski....
Release Date 2019/09 -
Author Paolo Perrotta
You've decided to tackle machine learning - because you're job hunting, embarking on a new project, or just think self-driving cars are cool. But where to start? It's easy to be intimidated, even as a software developer. The good news is that it doesn't have to be tha....
Release Date 2020/03 -
Programming Computer Vision with Python
Author Jan Erik Solem
If you want a basic understanding of computer vision’s underlying theory and algorithms, this hands-on introduction is the ideal place to start. You’ll learn techniques for object recognition, 3D reconstruction, stereo imaging, augmented reality, and other computer ....
Release Date 2012/06 -
Programming 101: The How and Why of Programming Revealed Using the Processing Programming Language
Author Jeanine Meyer
Understand the importance of programming, even if you’ve never programmed before! This book will teach you the basics of programming using the Processing programming language. You will create your own Processing sketches, using personal images, themes, or hobbies t....
Release Date 2018/06 -
Production-Ready Applied Deep Learning
Author Tomasz Palczewski , Jaejun Lee , Lenin Mookiah
Supercharge your skills for developing powerful deep learning models and distributing them at scale efficiently using cloud servicesKey FeaturesUnderstand how to execute a deep learning project effectively using various tools availableLearn how to develop PyTorch and TensorFlow models at scale using....
Release Date 2022/08 -
Author Éric Schaer , Jean-Claude André
Process engineering emerged at the beginning of the 20th Century and has become an essential scientific discipline for the matter and energy processing industries. Its success is incontrovertible, with the exponential increase in techniques and innovations. Rapid advances in new technologies s....
Release Date 2020/10 -
Probability, Random Variables, and Random Processes: Theory and Signal Processing Applications
Author John J. Shynk
Probability, Random Variables, and Random Processes is a comprehensive textbook on probability theory for engineers that provides a more rigorous mathematical framework than is usually encountered in undergraduate courses. It is intended for first-year graduate stud....
Release Date 2012/11 -
Probabilistic Reasoning in Intelligent Systems
Author Judea Pearl
Probabilistic Reasoning in Intelligent Systems is a complete and accessible account of the theoretical foundations and computational methods that underlie plausible reasoning under uncertainty. The author provides a coherent explication of probability as a languag....
Release Date 2014/06 -
Probabilistic and Biologically Inspired Feature Representations
Author Michael Felsberg , Gerard Medioni , Sven Dickinson
Under the title "Probabilistic and Biologically Inspired Feature Representations," this text collects a substantial amount of work on the topic of channel representations. Channel representations are a biologically motivated, wavelet-like approach to visual featur....
Release Date 2018/05 -
Author Santanu Pattanayak
Deploy deep learning solutions in production with ease using TensorFlow. You'll also develop the mathematical understanding and intuition required to invent new deep learning architectures and solutions on your own.Pro Deep Learning with TensorFlow provides prac....
Release Date 2017/12 -
Author Santanu Pattanayak
This book builds upon the foundations established in its first edition, with updated chapters and the latest code implementations to bring it up to date with Tensorflow 2.0.Pro Deep Learning with TensorFlow 2.0 begins with the mathematical and core technical foundations of deep learning. Next, you w....
Release Date 2022/12 -
Privacy-Preserving Machine Learning
Author Morris Chang , Dumindu Samaraweera , Di Zhuang
Keep sensitive user data safe and secure without sacrificing the performance and accuracy of your machine learning models. In Privacy Preserving Machine Learning, you will learn: Privacy considerations in machine learningDifferential privacy techniques for machine learningPrivacy-preserving synt....
Release Date 2023/05 -
Preventing Web Attacks with Apache
Author Ryan C. Barnett
“Ryan Barnett has raised the bar in terms of running Apache securely. If you run Apache, stop right now and leaf through this book; you need this information.”–Stephen Northcutt, The SANS InstituteThe only end-to-end guide to securing Apache Web servers and Web appl....
Release Date 2006/01 -
Author Emmanuel Fombu
Predictive Medicine makes artificial intelligence more accessible for healthcare practitioners without shying away from complex topics and controversial subject matter.Artificial intelligence, machine learning, natural language processing, robotics, big data and ot....
Release Date 2020/01 -
Predictive Analytics: Data Mining, Machine Learning and Data Science for Practitioners, 2nd Edition
Author Dursun Delen
Using predictive analytics techniques, decision-makers can uncover hidden patterns and correlations in their data, and leverage this insight to improve a wide range of business decisions. In Predictive Analytics: Data Mining, Machine Learning and Data Science for Practiti....
Release Date 2020/12 -
Predictive Analytics with TensorFlow
Author Md. Rezaul Karim
Accomplish the power of data in your business by building advanced predictive modelling applications with Tensorflow.About This BookA quick guide to gain hands-on experience with deep learning in different domains such as digit/image classification, and textsBuild ....
Release Date 2017/11 -
Prediction Machines, Updated and Expanded
Author Ajay Agrawal , Joshua Gans , Avi Goldfarb
Named one of "The five best books to understand AI" by The EconomistThe impact AI will have is profound, but the economic framework for understanding it is surprisingly simple.Artificial intelligence seems to do the impossible, magically bringing machines to life—driving cars, trading stocks, and te....
Release Date 2022/11 -
Pragmatic AI: An Introduction to Cloud-Based Machine Learning, First Edition
Author Noah Gift
Master Powerful Off-the-Shelf Business Solutions for AI and Machine Learning Pragmatic AI will help you solve real-world problems with contemporary machine learning, artificial intelligence, and cloud computing tools. Noah Gift demystifies all the concepts and tool....
Release Date 2018/07