Grāmatu jaunumi bibliotēkā
Autors: Peter Bradley
Nosaukums: Machine Learning
Do you want to know more about Machine Learning and what it means for the future? Could Machine Learning help your business to perform better?
Machine Learning is not a new idea. It stems back as far as the 1950s and involves computers ‘learning’ from basic algorithms without the need for them to be specifically programmed to do so.
If that sounds a bit like science-fiction, it isn’t. Machine Learning is real and is gathering pace and in Machine Learning: A Comprehensive, Step-by-Step Guide to Learning and Understanding Machine Learning Concepts, Technology and Principles for Beginners, you can grasp what this means with chapters on:
What Machine Learning is
Basic facts about Machine Learning
Types of Machine Learning
Real life applications of Machine Learning
Artificial Intelligence
And much more.
Autors: Mark Layton
Nosaukums: Agile Project Management for Dummies
Flex your project management muscle
Agile project management is a fast and flexible approach to managing all projects, not just software development. By learning the principles and techniques in this book, you'll be able to create a product roadmap, schedule projects, and prepare for product launches with the ease of Agile software developers. You'll discover how to manage scope, time, and cost, as well as team dynamics, quality, and risk of every project.
As mobile and web technologies continue to evolve rapidly, there is added pressure to develop and implement software projects in weeks instead of months―and Agile Project Management For Dummies can help you do just that. Providing a simple, step-by-step guide to Agile project management approaches, tools, and techniques, it shows product and project managers how to complete and implement projects more quickly than ever.
Complete projects in weeks instead of months
Reduce risk and leverage core benefits for projects
Turn Agile theory into practice for all industries
Effectively create an Agile environment
Autors: Dave Bertolini
Nosaukums: CMMS Explained Made Simple
A Computerized Maintenance Management System (CMMS) is designed to automate standardized processes, collect historical data, and quickly sort and analyze that data. This proactive tool, when properly implemented and utilized, provides accurate and timely maintenance and operational management decision information. Unfortunately many are disappointed with the consistency and integrity of the data contained within their system. While many of these disappointments were established during the initial implementation all is not lost.
This book explains what the necessary data elements are, how they are best utilized, and what foundational elements must be established to ensure on-going system success. Those considering an initial system implementation or system re-implementation are encouraged to review the contents of this book to ensure success. For those that are unsure if their system is providing the necessary foundational elements the self-assessment/evaluation section provides guidance to identify and correct system deficiencies.
Autors: Kyle S. Britt
Nosaukums: Delivering Business Intelligence
This book is Volume 3 of the Series "Delivering Business Intelligence". In this Volume we capture the Voice of the Customer (VOC) and begin to translate their problems into Critical Customer Requirements (CCRs). We expand on common recurring challenges with implementing sustainable Business Intelligence in today's marketplace and the importance of KPI's and Operational Definitions. We outline the Functional Requirements Document (FRD) used to consolidate and document the CCRs, KPIs and Operational Definitions. We provide a Functional Requirements Document (FRD) template which is the deliverable for this Volume.Target Audience: Executives, Managers, Project Managers and Analysts in startup, small, medium to large companies across all industries. Objective: This Series was designed based on Lean Six Sigma methodologies, combined with Project Management Professional (PMP) certified training, coupled with 20+ years of Business Intelligence (BI) experience in project implementations.Author: Author Kyle Britt has been practicing Project Management Business Intelligence for over 20 years. Kyle has a Bachelor of Science (BS) in Computer information Systems (CIS) from Colorado State University, Master of Business Administration (MBA) from Regis University, Project Management Professional Certification (PMP) from the Project Management Institute (PMI) and Lean Six Sigma Certification.Dedication: All BI Warehouse Inc. Material is dedicated to my daughter Kennedy who inspired me to pass along what I have learned over the years, so I could spend more time with her. I hope she will be as proud of me one day as I am of her every day.
Autors: Stephen Feming
Nosaukums: The DevOps Engineer’s Career Guide
Who are DevOps Engineers, What are their daily activities like, What were they doing before getting into DevOps, Is my current experience in line with the DevOps role?
Well, in the last four months, I have been involved in the recruitment process of various DevOps related jobs in my current project. I have come across multiple Entry Level and Mid-Level career professionals inquisitive about expectations of the role and how their earlier experience would contribute to the DevOps role.
Also, I have received several emails from readers asking how to switch from their existing roles (development, sysadmin, etc.). Based on the interactions, I have included "DevOps Engineer" related queries in the below categories and in this book, I will give you complete information about the position, career path and skill set required.
The main queries were the following:
Why DevOps?
What are the job duties and day-to-day activities of a DevOps Engineer?
What did DevOps engineers do before DevOps?
What technical and soft skills are required to be an expert-level DevOps Engineer?
What are some standard tools a DevOps engineer uses?
What are other similar roles from where one can make the transition to the DevOps world?
What are the Certifications/Courses one can do to become a DevOps Engineer?
How can I get DevOps interviews with top companies?
What are the average Salary, companies to work for, and designations/roles?
How is the career path of a "DevOps Engineer"? How is the career advancement of a DevOps engineer?
Autors: Richard Hurley
Nosaukums: Business Intelligence
Do you want to learn about business intelligence but don't feel like reading a boring textbook?
In the modern business world, the pace of action continues to quicken. Businesses need to be able to get actionable insights from their data in order to make the right decisions to act rapidly and effectively.
In this book, you will be introduced to the concept of business intelligence. Business intelligence is closely connected to data, and so as part of our journey, we are going to see how modern companies are using big data, together with artificial intelligence, machine learning, and pattern recognition in order to build systems of data-driven decision making.
After we get a handle on what business intelligence is, we will learn how it ties together with the next computer revolution (happening right before our eyes). We will discuss the use of artificial intelligence, machine learning, and pattern recognition to retrieve insights from the large amounts of data that companies are routinely collecting, storing, and using.
We will also explore the roles that social media and internet marketing are playing in the growth of business intelligence, and how companies like Facebook are helping other companies act on data in powerful ways.
Here's just a tiny fraction of what you'll discover:
An Introduction to BI, Big Data, AI, and More
An Overview of Business Intelligence
BI and AI
BI and Big Data
BI And Machine Learning
Data Science
Cybersecurity
BI and Data Mining
BI and Social Media
BI and Internet Marketing
And much much more.
Nosaukums: Artificial Intelligence
Companies that don't use AI to their advantage will soon be left behind. Artificial intelligence and machine learning will drive a massive reshaping of the economy and society. What should you and your company be doing right now to ensure that your business is poised for success? These articles by AI experts and consultants will help you understand today's essential thinking on what AI is capable of now, how to adopt it in your organization, and how the technology is likely to evolve in the near future. Artificial Intelligence: The Insights You Need from Harvard Business Review will help you spearhead important conversations, get going on the right AI initiatives for your company, and capitalize on the opportunity of the machine intelligence revolution. Catch up on current topics and deepen your understanding of them with the Insights You Need series from Harvard Business Review. Featuring some of HBR's best and most recent thinking, Insights You Need titles are both a primer on today's most pressing issues and an extension of the conversation, with interesting research, interviews, case studies, and practical ideas to help you explore how a particular issue will impact your company and what it will mean for you and your business.
Autors: Richard Hurley
Nosaukums: Data Science
This book will discuss everything that you need to know when it comes to working in the field of data science. This world has changed, and with the modern technology that we have, it is easier than ever for companies to amass a large amount of data on the industry, on their competition, on their products, and their customers. Gathering the data is the easy part, though. Being able to sort through this data and understand what it is saying is going to be a unique challenge all on its own. This is where the process and field of data science can come in.
There is so much that we can explore and learn about when it comes to the world of data science, and this ultimate guide is here to help you navigate through these specialties. You will see just how important the ideas of data mining, data analytics, and even artificial intelligence are to our world as a whole today.
This book will discuss the following topics:
What is Data Science?
What Exactly Does a Data Scientist Do?
A Look at What Data Analytics Is All About
What is Data Mining and How Does It Fit in with Data Science?
Regression Analysis
Why is Data Visualization So Important When It Comes to Understanding Your Data?
How to work with Database Querying
A Look at Artificial Intelligence
What is Machine Learning and How Is It Different from Artificial Intelligence?
What is the Future of Artificial Intelligence and Machine Learning?
And much more.
