Mastering TensorFlow 1.x

本书是Mastering Technical Sales的英文第三版。 Every high-tech sales team today has technical pros on board to "explain how things work," and this success-tested training resource is written just for them. This newly revised and expanded third edition of an Artech House bestseller offers invaluable insights and tips for every stage of the selling process. This third edition features a wealth of new material, including new chapters on business-driven discovery, white boarding, trusted advisors, and calculating ROI. This invaluable book equips new sales engineers with powerful sales and presentation techniques that capitalize on their technical background - all spelled out step-by-step by a pair of technical sales experts with decades of eye-popping, industry-giant success under their belt.

Explore and master the most important algorithms for solving complex machine learning problems. Key Features Discover high-performing machine learning algorithms and understand how they work in depth. One-stop solution to mastering supervised, unsupervised, and semi-supervised machine learning algorithms and their implementation. Master concepts related to algorithm tuning, parameter optimization, and more Book Description Machine learning is a subset of AI that aims to make modern-day computer systems smarter and more intelligent. The real power of machine learning resides in its algorithms, which make even the most difficult things capable of being handled by machines. However, with the advancement in the technology and requirements of data, machines will have to be smarter than they are today to meet the overwhelming data needs; mastering these algorithms and using them optimally is the need of the hour. Mastering Machine Learning Algorithms is your complete guide to quickly getting to grips with popular machine learning algorithms. You will be introduced to the most widely used algorithms in supervised, unsupervised, and semi-supervised machine learning, and will learn how to use them in the best possible manner. Ranging from Bayesian models to the MCMC algorithm to Hidden Markov models, this book will teach you how to extract features from your dataset and perform dimensionality reduction by making use of Python-based libraries such as scikit-learn. You will also learn how to use Keras and TensorFlow to train effective neural networks. If you are looking for a single resource to study, implement, and solve end-to-end machine learning problems and use-cases, this is the book you need. What you will learn Explore how a ML model can be trained, optimized, and evaluated Understand how to create and learn static and dynamic probabilistic models Successfully cluster high-dimensional data and evaluate model accuracy Discover how artificial neural networks work

Mastering NGINX 2nd Edition Mastering NGINX 2nd Edition

随着互联网的迅速发展，几乎所有工具软件和程序语言都支持的正则表达式也变得越来越强大和易于使用。本书是讲解正则表达式的经典之作。本书主要讲解了正则表达式的特性和流派、匹配原理、优化原则、实用诀窍以及调校措施，并详细介绍了正则表达式在Perl、Java、.NET、PHP中的用法。中文版更方便阅读。

Mastering the game of Go without human knowledge.pdf

此书是pdf版本的，有需要其他格式的请评论注明~This book gives a detailed description of this leading technology and its implementation in the real world.

Mastering Unreal Engine 4.X 英文无水印pdf pdf使用FoxitReader和PDF-XChangeViewer测试可以打开

掌握恶意软件分析 这是Packt发行的的代码库。 完整的恶意软件分析师指南，可对抗恶意软件，APT，网络犯罪和物联网攻击 这本书是关于什么的？ 随着技术的不断增长，遭遇恶意代码或恶意软件的风险也增加了。 由于多次著名的勒索软件攻击，恶意软件分析已成为近年来企业中最流行的话题之一。 掌握恶意软件分析介绍了不同恶意软件类型背后的通用模式，以及如何使用多种方法进行分析。 您将学习如何检查恶意软件代码，并确定它可能对系统造成的损害，以确保其不会进一步传播。 展望未来，您将详细介绍Windows平台的恶意软件分析的所有方面。 接下来，您将掌握混淆和反拆卸，反调试以及反虚拟机技术。 本书将帮助您应对现代跨平台恶意软件。 在本书的整个过程中，您将探索静态和动态恶意软件分析，解压缩和解密以及Rootkit检测的真实示例。 最后，这本书将帮助您加强防御并防止IoT设备和移动平台的恶意软件破坏。 到本书

学习一些投资、风险管理、金融的知识，提升交叉职业面试综合软实力。