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 Название: Demystifying Artificial intelligence: Simplified AI and Machine Learning concepts for Everyone
Автор: Prashant Kikani
Издательство: BPB Publication
Год: 2021
Страниц: 350
Язык: английский
Формат: pdf
Размер: 10.2 MB
Learn AI & Machine Learning from the first principles. AI and machine learning (ML) are probably the most fascinating technologies of the 21st century. AI is literally in every industry now. From medical to climate change, education to sport, finance to entertainment, AI is disrupting every industry as we know. So, the basic knowledge of AI/ML becomes mandatory for everyone. This book is your first step to start the journey in this field. Along with basic concepts of fields, like machine learning, deep learning and NLP, we will also explore how big companies are using these technologies to deliver greater user experience and earning millions of dollars in profit. | |
Разместил: Ingvar16 16-09-2021, 10:45 | Комментарии: 0 | Подробнее
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 Название: Getting started with RPA using Automation Anywhere: Automate your day-to-day Business Processes using Automation Anywhere
Автор: Vaibhav Srivastava
Издательство: BPB Publications
Год: 2021
Формат: ePUB, PDF
Страниц: 477
Размер: 20,3 Mb
Язык: English
The book starts by giving an overview of Robotic Process Automation (RPA), its tools, and industry use cases. You will then get familiar with the Automation Anywhere Enterprise components and Architecture. Moving on, you will deep dive into the options provided in a Client application such as recorders, workbench, metabot designer and the types of bots in Automation Anywhere. You will then come across the practical implementation of variables in Automation. The book will then show how to implement commands such as Error Handling, XML, Web Services, FTP, OCR, PGP, String Operation, Files & Folders, etc. You will also get familiar with the working of Workflows and Workflow Manager. Towards the end, the book will teach you how to transfer bots to and from the Web Control Room and schedule bots from the Web Control Room. | |
Разместил: vitvikvas 16-09-2021, 10:28 | Комментарии: 0 | Подробнее
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 Название: Hands-on Data Analysis and Visualization with Pandas: Engineer, Analyse and Visualize Data, Using Powerful Python Libraries
Автор: Purna Chander Rao. Kathula
Издательство: BPB Publications
Год: 2020
Формат: ePUB, PDF
Страниц: 610
Размер: 28,6 Mb
Язык: English
The book will start with quick introductions to Python and its ecosystem libraries for data science such as JupyterLab, Numpy, Pandas, SciPy, Matplotlib, and Seaborn.
This book will help in learning python data structures and essential concepts such as Functions, Lambdas, List comprehensions, Datetime objects, etc. required for data engineering. It also covers an in-depth understanding of Python data science packages where JupyterLab used as an IDE for writing, documenting, and executing the python code, Numpy used for computation of numerical operations, Pandas for cleaning and reorganizing the data, handling large datasets and merging the dataframes to get meaningful insights. You will go through the statistics to understand the relation between the variables using SciPy and building visualization charts using Matplotllib and Seaborn libraries. | |
Разместил: vitvikvas 16-09-2021, 10:03 | Комментарии: 0 | Подробнее
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 Название: Statistics for Machine Learning : Implement Statistical methods used in Machine Learning using Python
Автор: Himanshu Singh
Издательство: BPB Publications
Год: 2021
Формат: ePUB, PDF
Страниц: 531
Размер: 12,6 Mb
Язык: English
This book talks about Statistical concepts in detail, with its applications in Python. The book starts with an introduction to Statistics and moves on to cover some basic Descriptive Statistics concepts such as mean, median, mode, etc. You will then explore the concept of Probability and look at different types of Probability Distributions. Next, you will look at parameter estimations for the unknown parameters present in the population and look at Random Variables in detail, which are used to save the results of an experiment in Statistics. You will then explore one of the most important fields in Statistics - Hypothesis Testing, and then explore various types of tests used to check our hypothesis. The last part of our book will focus on how you can process data using Python, some elements of Non-parametric statistics, and finally, some introduction to Machine Learning. | |
Разместил: vitvikvas 16-09-2021, 09:51 | Комментарии: 0 | Подробнее
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 Название: Machine Learning Cookbook with Python: Create ML and Data Analytics Projects Using Some Amazing Open Datasets
Автор: Rehan Guha
Издательство: BPB Publications
Год: 2021
Формат: ePUB, PDF
Страниц: 515
Размер: 21,5 Mb
Язык: English
Machine Learning does not have to be intimidating at all. This book focuses on the concepts of Machine Learning and Data Analytics with mathematical explanations and programming examples. All the codes are written in Python as it is one of the most popular programming languages used for Data Science and Machine Learning. Here I have leveraged multiple libraries like NumPy, Pandas, scikit-learn, etc. to ease our task and not reinvent the wheel. There are five projects in total, each addressing a unique problem. With the recipes in this cookbook, one will learn how to solve Machine Learning problems for real-time data and perform Data Analysis and Analytics, Classification, and beyond. The datasets used are also unique and will help one to think, understand the problem and proceed towards the goal. The book is not saturated with Mathematics, but mostly all the Mathematical concepts are covered for the important topics. Every chapter typically starts with some theory and prerequisites, and then it gradually dives into the implementation of the same concept using Python, keeping a project in the background. | |
Разместил: vitvikvas 16-09-2021, 09:24 | Комментарии: 0 | Подробнее
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 Название: Bayesian Networks: With Examples in R
Автор: Marco Scutari, Jean-Baptiste Denis
Издательство: CRC Press
Год: 2022
Формат: PDF
Страниц: 252
Размер: 18,6 Mb
Язык: English
Bayesian Networks: With Examples in R, Second Edition introduces Bayesian networks using a hands-on approach. Simple yet meaningful examples illustrate each step of the modelling process and discuss side by side the underlying theory and its application using R code. The examples start from the simplest notions and gradually increase in complexity. In particular, this new edition contains significant new material on topics from modern machine-learning practice: dynamic networks, networks with heterogeneous variables, and model validation. | |
Разместил: vitvikvas 16-09-2021, 03:58 | Комментарии: 0 | Подробнее
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 Название: Build Blog with React (SSR) and Wagtail
Автор: Michael Yin
Издательство: Leanpub
Год: 2021-05-05
Страниц: 167
Язык: английский
Формат: pdf (true) +code
Размер: 10.19 MB
This book will teach you how to build a blog with React, Wagtail CMS and SSR (Server-Side Rendering), which has good performance and good SEO. By the end of this course, you will be able to: Understand Docker and use Docker Compose to do development; Create blog models to work with Wagtail; Use PDB and Django shell to debug, test code and check data in terminal; Learn how to write serializer for Django models; Use the factory package to help create test data; Create React project from Python-webpack-boilerplate and load it in Django template; Understand React Components and the component lifecycle...
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Разместил: Ingvar16 16-09-2021, 01:59 | Комментарии: 0 | Подробнее
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 Название: 97 Things Every Information Security Professional Should Know: Collective Wisdom from the Experts (Final)
Автор: Christina Morillo
Издательство: O’Reilly Media, Inc.
Год: 2021
Страниц: 389
Язык: английский
Формат: epub
Размер: 24.1 MB
Whether you're searching for new or additional opportunities, information security can be vast and overwhelming. In this practical guide, author Christina Morillo introduces technical knowledge from a diverse range of experts in the infosec field. Through 97 concise and useful tips, you'll learn how to expand your skills and solve common issues by working through everyday security problems. You'll also receive valuable guidance from professionals on how to navigate your career within this industry. How do you get buy-in from the C-suite for your security program? How do you establish an incident and disaster response plan? This practical book takes you through actionable advice on a wide variety of infosec topics, including thought-provoking questions that drive the direction of the field.
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Разместил: Ingvar16 15-09-2021, 21:13 | Комментарии: 0 | Подробнее
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 Название: Hands-On Smart Contract Development with Solidity and Ethereum: From Fundamentals to Deployment, 1st Edition
Автор: Kevin Solorio, Randall Kanna, David H. Hoover
Издательство: O’Reilly Media, Inc.
Год: 2020
Страниц: 270
Язык: английский
Формат: pdf (true), epub
Размер: 12.4 MB, 10.07 MB
Ready to dive into smart contract development for the blockchain? With this practical guide, experienced engineers and beginners alike will quickly learn the entire process for building smart contracts for Ethereum - the open source blockchain-based distributed computing platform. You’llget up to speed with the fundamentals and quickly move into builder mode. Kevin Solorio, Randall Kanna, and Dave Hoover show you how to create and test your own smart contract, create a frontend for users to interact with, and more. It’s the perfect resource for people who want to break into the smart contract field but don’t know where to start. | |
Разместил: Ingvar16 15-09-2021, 20:32 | Комментарии: 0 | Подробнее
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 Название: Intelligent Reliability Analysis Using MATLAB and AI: Perform Failure Analysis and Reliability Engineering using MATLAB and Artificial Intelligence
Автор: Dr. Cherry Bhargava, Dr. Pardeep Kumar Sharma
Издательство: BPB Publications
Год: 2021
Формат: ePUB, PDF
Страниц: 373
Размер: 10 Mb
Язык: English
Intelligent Reliability Analysis using MATLAB and AI explains a roadmap to analyze and predict various electronic components’ future life and performance reliability. Deeply narrated and authored by reliability experts, this book empowers the reader to deepen their understanding of reliability identification, its significance, preventive measures, and various techniques.
The book teaches how to predict the residual lifetime of active and passive components using an interesting use case on electronic waste. The book will demonstrate how the capacity of re-usability of electronic components can benefit the consumer to reuse the same component, with the confidence of successful operations. It lists key attributes and ways to design experiments using Taguchi’s approach, based on various acceleration factors. | |
Разместил: vitvikvas 15-09-2021, 12:40 | Комментарии: 0 | Подробнее
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