Other books that might interest you

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  Artificial Intelligence - Ai...

  Christian Farsley

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  AI systems are designed and programmed to mimic human thought and behavior, making artificial intelligence an integral part of our daily lives. This technology impacts a wide range of services and experiences. 
    
  For many, the most visible benefits of AI are seen in new gadgets and features, such as voice-activated assistants and facial recognition for unlocking devices. However, AI is also set to revolutionize other areas, such as healthcare. For example, hospitals in India are testing software that analyzes retinal images to detect diabetic retinopathy, a condition that is often diagnosed too late to prevent vision loss. In autonomous driving, AI helps vehicles understand and navigate their environments. AI is already embedded in many applications, from search algorithms to bionic limbs for the disabled.

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  Resilience - The Science of...

  Steven M. Southwick, Dennis S....

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  Life presents us all with challenges. Most of us at some point will be struck by major traumas such as the sudden death of a loved one, a debilitating disease, or a natural disaster. What differentiates us is how we respond. In this important book, three experts in trauma and resilience answer key questions such as What helps people adapt to life’s most challenging situations?, How can you build up your own resilience?, and What do we know about the science of resilience? Combining cutting-edge scientific research with the personal experiences of individuals who have survived some of the most traumatic events imaginable, such as the COVID-19 pandemic, this book provides a practical resource that can be used time and time again. The experts describe ten key resilience factors, including facing fear, optimism, and role models, through the experiences and personal reflections of highly resilient survivors. Each resilience factor will help anyone to adapt and grow from stressful life events and will bring hope and inspiration for overcoming adversity.

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  Master Student The: Book 2 in...

  Dr. Noah Volz

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  What if you could graduate with honors while living your college years to the fullest? 
  If you’re like most people, then you probably don’t know a lot about learning: how people learn, the mechanics of learning, and how to learn most effectively. That’s why Dr. Noah Volz set out to research the topic. After returning to college for his post-grad studies nearly twenty years after his undergrad, he realized how much the classroom had changed with the advent of the Internet. 
  Dr. Volz wasn’t satisfied to just chalk up his difficulties to his age. He just needed to implement strategies to make the most of what he was being taught. Through his research, which included surveying successful colleagues, Dr. Volz identified eight science-backed tactics to help level-up the learning experience and take any student to the top of the class. 
  In this second book, you’ll learn: 
  How you can apply the latest research about learning 
  The key methods for optimizing the learning process 
  How to debunk popular learning myths and pinpoint alternatives that work 
  The secret techniques for acquiring new skills, faster 
  Methods to improve your memorization of anatomy 
  How to train your brain for long-term focus 
  This step-by-step guide will help you live your best life as a student and set you up for lifelong success. 
  This book is for people who have trouble learning and are afraid they may not be able to finish school. You don’t have to be the smartest person in the room to be successful. By using these strategies and tactics, you will get better grades and learn faster without sacrificing all the Friday night fun. 
  Writing with originality and purpose, Dr. Noah Volz imparts valuable lessons in an entertaining and engaging way. As an author, chiropractor, and educator, he has been helping others live their best life since 2002. You can learn more about him at www.drnoahvolz.com.To master your learning skills, pick up your copy of Dr. Volz’s book today

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  Data Visualization Guide - Clear...

  Alexa Campbell

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  Have you ever wondered how you can work with large volumes of data sets? 
  Do you ever think about how you can use these data sets to identify hidden patterns and make an informed decision? 
  Do you know where you can collect this information? 
  Have you ever questioned what you can do with incomplete or incorrect data sets? 
  If you said yes to any of these questions, then you have come to the right place. 
  Most businesses collect information from various sources. This information can be in different formats and needs to be collected, processed, and improved upon if you want to interpret it. You can use various data mining tools to source the information from different places. These tools can also help with the cleaning and processing techniques. 
  You can use this information to make informed decisions and improve the efficiency and methods in your business. Every business needs to find a way to interpret and analyze large data sets. To do this, you will need to learn more about the different libraries and functions used to improve data sets. Since most data professionals use Python as the base programming language to develop models, this book uses some common libraries and functions from Python to give you a brief introduction to the language. 
  If you are a budding analyst or want to freshen up on your concepts, this book is for you. It has all the basic information you need to help you become a data analyst or scientist.

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  Lean Production Scale-up

  Ilkka Taponen

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  This audiobook is an altered version of the Master’s thesis Lean Production Scale-up. How a startup can scale the manufacturing of physical product innovation by Ilkka Taponen. Approximately half of the original thesis has been removed to suit the audiobook format. The audiobook edit has been designed for an audience familiar with startups and business, meaning that large portions of the basics have been removed from the Theory chapter.Today the market entry for new ideas and entrepreneurs is easier than ever as the digital age is reshaping how business is done. Through digitalization, the business environment has become highly open and widely connected. The combinations of digital technologies like edge computing and artificial intelligence, AI, enable new business model opportunities. In this fast-changing environment, the most important thing is to learn as fast as possible what to do next and what is worth doing at all. Multiple non-fiction books like The Four Steps to the Epiphany by Steve Blank and Lean Startup by Eric Ries study the modern internet-era startup business environment.Still, one aspect has not been included in the broader public discussion. The tools presented in Lean Startup concentrate on finding the market fit as efficiently as possible but assume that the same level of uncertainties does not exist in the company's internal processes. “We wanted flying cars, instead we got 140 characters” is a famous quote by startup investor Peter Thiel. Behind the quote is the notion that there is something different and more challenging about developing physical technologies compared to online services. Manufacturing, indeed, is an underrated problem. It is much harder to take advanced technology and bring it to volume manufacturing than to design it in the first place.

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  Ultimate Big Data Analytics with...

  Simhadri Govindappa

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  Master the Hadoop Ecosystem and Build Scalable Analytics Systems
  Book Description
  In a rapidly evolving Big Data job market projected to grow by 28% through 2026 and with salaries reaching up to $150, 00 annually—mastering big data analytics with the Hadoop ecosystem is most sought after for career advancement. The Ultimate Big Data Analytics with Apache Hadoop is an indispensable companion offering in-depth knowledge and practical skills needed to excel in today's data-driven landscape. 
  The book begins laying a strong foundation with an overview of data lakes, data warehouses, and related concepts. It then delves into core Hadoop components such as HDFS, YARN, MapReduce, and Apache Tez, offering a blend of theory and practical exercises. 
  You will gain hands-on experience with query engines like Apache Hive and Apache Spark, as well as file and table formats such as ORC, Parquet, Avro, Iceberg, Hudi, and Delta. Detailed instructions on installing and configuring clusters with Docker are included, along with big data visualization and statistical analysis using Python. 
  Given the growing importance of scalable data pipelines, this book equips data engineers, analysts, and big data professionals with practical skills to set up, manage, and optimize data pipelines, and to apply machine learning techniques effectively. 
  Table of Contents
  
  1. Introduction to Hadoop and ASF
  2. Overview of Big Data Analytics
  3. Hadoop and YARN MapReduce and Tez
  4. Distributed Query Engines: Apache Hive
  5. Distributed Query Engines: Apache Spark
  6. File Formats and Table Formats (Apache Ice-berg, Hudi, and Delta)
  7. Python and the Hadoop Ecosystem for Big Data Analytics - BI
  8. Data Science and Machine Learning with Hadoop Ecosystem
  9. Introduction to Cloud Computing and Other Apache Projects  
  Index

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