Otros libros que te pueden interesar

• 

  Coding Interview - The Ultimate...

  Dylan Christian

  • 0
  • 0
  • 0

  Pass any coding interview when you understand the top questions and situations you will face from any employer 
  Have you ever dreamed of getting a high-powered job with a major company to develop their software or even their flagship products? 
  Have you been sitting in front of a computer for years, hacking code and developing awesome applications that people love to use? 
  Did you want to make coding and product development a career but can’t get your foot in the door? 
  Then the following book is for you. For years, people like you have been looking to get their foot into major companies like Google, Facebook, and even Activision or Blizzard with little to no success. The main reason, they fail to pass the coding interview. 
  When applying for these jobs, they don’t want to hire anyone that can’t pass this interview. They don’t want people to get into these positions, tie up deadlines, and mess up years of advancement with poorly written code. For this reason, they will give you what is known as a coding interview to prove that you can play the game with those who are working in the company already. 
  In this book, you will:Understand what a coder or developer is, and why you would want to be oneLearn about the foundations that most people don’t talk about when getting these jobGain insight into what employers are looking at before you are even considered for the interviewLearn about what to have before you apply and what to do in the pre-interviewsHave access to many common questions and answers you will be asked in these interviews so you can understand what to expect and how to answerAnd so much more! 
  This book is a look into the world of programming and getting a job as a coder. If you are someone who believes that this is the lifestyle for you, then knowing what to do to pass the coding interview is key.

  Ver libro

• 

  Machine Learning Basics for...

  Prabhakar Veeraraghavan

  • 0
  • 0
  • 0

  Do you Want to add 'Machine Learning' skills to your LinkedIn profile? Are you ready to embark on the journey of Machine Learning from Basics? If Yes, then this book is for you! 
  Whether you're a curious novice or a tech enthusiast eager to dive into the realm of artificial intelligence, this book is your key to understanding the fundamental concepts that power the future.   
  This book provides the intricacies of Machine Learning with our 10 meticulously crafted chapters. Begin your journey with a warm welcome in the 'Introduction,' paving the way for a seamless exploration of the foundational principles in 'Foundations of Machine Learning’.  
  Navigate through the crucial terrain of 'Data Preprocessing and Feature Engineering' as you learn the essential techniques to refine and optimize your datasets. Take the leap into 'Building Your First Model,' where you'll witness the magic unfold as you breathe life into your machine learning project. 
  Unlock the power of predictive modeling with 'Supervised Learning Techniques,' and then delve into the mysteries of pattern recognition with 'Unsupervised Learning Techniques.' Our step-by-step approach ensures that even the most complex concepts become clear and accessible.  
  Venture into the future with 'Introduction to Deep Learning,' demystifying the advanced techniques that drive cutting-edge applications, and navigate the ethical dimensions of machine learning. Wrap up your learning journey with a glimpse into 'Future Trends in Machine Learning,' ensuring you stay ahead of the curve in this dynamic and ever-evolving field.

  Ver libro

• 

  Luck

  David Flusfeder

  • 0
  • 0
  • 0

  ‘A joy’ Philippe Sands‘Glorious’ David Spiegelhalter 
  A fascinating, enchanting and personal look at the meaning of luck, and the way in which it has shaped our shared history and continues to inflect our day to day lives. 
  What does it mean to be lucky? How might we mitigate the effects of bad luck and maximise those of good? Is there actually such a thing as ‘luck’—some force that intervenes between desire and its consummation, that impedes or hastens it? 
  To answer these questions, David Flusfeder sets out on a search for the definition of luck. This quest will take him to Siberia, Versailles, the Old Testament desert; play roulette in Baden-Baden with Dostoevsky; visit a Cambridge fairground with Wittgenstein; meet the sixteenth-century poet Thomas Bastard, who challenged Fortune, and lost; find Nietzsche on the slopes of Vesuvius; learn about the pioneers of probability; the twentieth-century art investigators of chance and possibility; and the intensely personal story of his father’s good fortune in escaping war-time Poland. Starting at the British Library in London, and following the dictates of an online randomiser that decided the chapter order, Flusfeder follows in the footsteps of some victors of luck and those who were defeated by it, from ancient times to the modern day. 
  Luck asks fundamental questions about the world, ourselves, our place in it. In these questions, about our relationships to fortune, to risk, to opportunity, to chance, destiny and fate, we find ourselves deciding who we are and how we might choose to live. 
  ‘Thrilling, intelligent and wilfully unique … I loved it’ James Runcie, author of The Great Passion 
  ‘Ruminative … page-turning’ TLS 
  ‘Fascinating … An eminently enjoyable and engrossing page-turner’ The Jewish Chronicle 
  In LUCK, David Flusfeder delves into the psychology of fortune, intertwining it with elements of mathematics and theory. The book is a top pick for those interested in the social aspects of games, particularly poker, and the communication skills required to navigate them. 
  For fans of Brian Klaas (Fluke), Morgan Housel (Same as Ever), Annie Jacobsen (Surprise, Kill, Vanish), Bill Perkins (Die With Zero), and Cal Newport (Slow Productivity). 
  HarperCollins 2022

  Ver libro

• 

  Comprehensive Guide to Machine...

  SAM CAMPBELL

  • 0
  • 0
  • 0

  In this accessible and engaging guide, we take you on a step-by-step exploration of machine learning, breaking down complex ideas into bite-sized pieces for beginners. Whether you're a student, professional, or someone curious about the future of technology, this book equips you with the knowledge needed to navigate the exciting field of machine learning. 
  "Comprehensive Guide to Machine Learning for Beginners: " is your comprehensive guide to unraveling the complexities of machine learning. Empower yourself with the knowledge to contribute to the exciting and rapidly evolving world of artificial intelligence. Whether you're taking your first steps or seeking to deepen your understanding, this book is your key to unlocking the potential of machine learning. Start your journey today! 
   

  Ver libro

• 

  Best Practices in Database...

  Lydia Johnson

  • 0
  • 0
  • 0

  Effective database management is a key part of any organization's success in today's data-driven world. In "Best Practices in Database Management – Structuring the Digital Realm: A Comprehensive Guide to Database Management," the author goes into great detail about the basics, methods, and new trends in database management that are needed in today's world. 
  This book starts with basic ideas like data modeling, normalization, and schema design and then goes on to teach you everything you need to know to be a database manager. More advanced topics are then talked about, like query optimization, performance tuning, and how to use cloud-based and NoSQL solutions. For each chapter, theoretical insights are combined with real-world examples to make sure that readers gain both knowledge and skills that can be used. 
  One of the most important ideas in this book is how to keep a healthy balance between technological progress and moral responsibility. This document talks about different methods that can be used to make sure that data is safe, that rules are followed, and that trust is built by using strong data management practices. Because it focuses on scalability and adaptability, the book gives readers the information and skills they need to deal with the problems that come up with big data, distributed systems, and real-time analytics.

  Ver libro

• 

  Data Cleaning and Preprocessing...

  Simon Winston

  • 0
  • 0
  • 0

  In the age of data-driven decision-making, the quality of your data is the foundation upon which all your insights and analyses are built. "Data Cleaning and Preprocessing: The Foundation of Data Analysis" is your essential guide to mastering the crucial yet often underestimated processes of cleaning and preparing data for meaningful analysis. 
  From data scientists and analysts to business professionals and researchers, anyone working with data can benefit from this comprehensive and accessible book. It demystifies the complex world of data cleaning and preprocessing, making it accessible to both beginners and experienced practitioners. 
  Discover the fundamental principles of data quality and learn how to identify and address common data issues, such as missing values, outliers, and inconsistent records. Dive into essential techniques for handling data imperfections, from data imputation to outlier detection, and explore the art of feature engineering and dimensionality reduction to enhance the predictive power of your data. 
  The book provides hands-on guidance for implementing data cleaning and preprocessing techniques using popular programming languages like Python, R, and SQL, with practical examples and code samples. You'll also gain insights into best practices, data quality assessment, and the latest trends in the field, including ethical considerations and the application of AI and machine learning to automate data cleaning. 
  "Data Cleaning and Preprocessing: The Foundation of Data Analysis" is the go-to resource for harnessing the true potential of your data. It's a must-read for anyone who understands that quality data is not a luxury but a necessity in the data-driven world we live in. Take control of your data, unlock its potential, and transform the way you approach data analysis with this indispensable guide. 
   

  Ver libro