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60 Days to LinkedIn Mastery

2021-10-11
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Release : 2021-10-11
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Kind : eBook
Book Rating : 461/5 ( reviews)

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Book Synopsis 60 Days to LinkedIn Mastery by : Josh Steimle

Download or read book 60 Days to LinkedIn Mastery written by Josh Steimle. This book was released on 2021-10-11. Available in PDF, EPUB and Kindle. Book excerpt: There's only one place in the world where you can find and connect with hundreds of millions of professionals every day, and that's on LinkedIn. Are you taking advantage of it? Or are you who Gary Vaynerchuk is talking about when he says, "So many . . . are missing out on the insane opportunity on LinkedIn right now."Tragically, too many of the almost 800 million people on LinkedIn are missing out because they use it the wrong way, but that spells opportunity for those who use it correctly. The good news is, with this book as your guide, you'll be an expert LinkedIn user in no time.Whether you're an employee who dreams of finding a new job, an executive who needs to hire star talent, or an entrepreneur who wants to grow a business, LinkedIn Mastery is the super-simple, straightforward, practical blueprint that will help you achieve your goals.This step-by-step guide to mastering LinkedIn will teach you how to:Optimize your LinkedIn profile so it's something you're proud to show off, rather than something you want to hideMake high-quality connections on LinkedIn with your ideal audience-the people you can serve and who can serve youCreate compelling content-quickly, easily, and affordably-that will bring your dream opportunities to youThis book contains 60 LinkedIn lessons, each short enough to understand and implement in 15 minutes or less. If you complete one each day, within 60 days you'll fully master LinkedIn. If you're looking to find a new job, your LinkedIn profile will attract the best employers and the best offers. If you're recruiting, you'll find and connect with top talent. And if you're generating leads and growing your business, you'll create content that brings your ideal customer to you.Are you ready for your first lesson?

Mastering LinkedIn with the Help of ChatGPT: New Strategies for Job Search, Branding, and Networking in the AI

Computers
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Genre : Computers
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Book Rating : /5 ( reviews)

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Book Synopsis Mastering LinkedIn with the Help of ChatGPT: New Strategies for Job Search, Branding, and Networking in the AI by : Martín Arellano

Download or read book Mastering LinkedIn with the Help of ChatGPT: New Strategies for Job Search, Branding, and Networking in the AI written by Martín Arellano. This book was released on . Available in PDF, EPUB and Kindle. Book excerpt:

Mastering LinkedIn in 7 Days Or Less

2011-09-01 Computers
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Author :
Release : 2011-09-01
Genre : Computers
Kind : eBook
Book Rating : 905/5 ( reviews)

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Book Synopsis Mastering LinkedIn in 7 Days Or Less by : Jan Wallen

Download or read book Mastering LinkedIn in 7 Days Or Less written by Jan Wallen. This book was released on 2011-09-01. Available in PDF, EPUB and Kindle. Book excerpt: Provides an introduction and overview of LinkedIn, as well as tips for various users on making the resource meet their goals.

Mastering Kubernetes

2017-05-25 Computers
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Release : 2017-05-25
Genre : Computers
Kind : eBook
Book Rating : 855/5 ( reviews)

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Book Synopsis Mastering Kubernetes by : Gigi Sayfan

Download or read book Mastering Kubernetes written by Gigi Sayfan. This book was released on 2017-05-25. Available in PDF, EPUB and Kindle. Book excerpt: Master the art of container management utilizing the power of Kubernetes. About This Book This practical guide demystifies Kubernetes and ensures that your clusters are always available, scalable, and up to date Discover new features such as autoscaling, rolling updates, resource quotas, and cluster size Master the skills of designing and deploying large clusters on various cloud platforms Who This Book Is For The book is for system administrators and developers who have intermediate level of knowledge with Kubernetes and are now waiting to master its advanced features. You should also have basic networking knowledge. This advanced-level book provides a pathway to master Kubernetes. What You Will Learn Architect a robust Kubernetes cluster for long-time operation Discover the advantages of running Kubernetes on GCE, AWS, Azure, and bare metal See the identity model of Kubernetes and options for cluster federation Monitor and troubleshoot Kubernetes clusters and run a highly available Kubernetes Create and configure custom Kubernetes resources and use third-party resources in your automation workflows Discover the art of running complex stateful applications in your container environment Deliver applications as standard packages In Detail Kubernetes is an open source system to automate the deployment, scaling, and management of containerized applications. If you are running more than just a few containers or want automated management of your containers, you need Kubernetes. This book mainly focuses on the advanced management of Kubernetes clusters. It covers problems that arise when you start using container orchestration in production. We start by giving you an overview of the guiding principles in Kubernetes design and show you the best practises in the fields of security, high availability, and cluster federation. You will discover how to run complex stateful microservices on Kubernetes including advanced features as horizontal pod autoscaling, rolling updates, resource quotas, and persistent storage back ends. Using real-world use cases, we explain the options for network configuration and provides guidelines on how to set up, operate, and troubleshoot various Kubernetes networking plugins. Finally, we cover custom resource development and utilization in automation and maintenance workflows. By the end of this book, you'll know everything you need to know to go from intermediate to advanced level. Style and approach Delving into the design of the Kubernetes platform, the reader will be exposed to the advanced features and best practices of Kubernetes. This book will be an advanced level book which will provide a pathway to master Kubernetes

Mastering Machine Learning Algorithms

2018-05-25 Computers
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Release : 2018-05-25
Genre : Computers
Kind : eBook
Book Rating : 900/5 ( reviews)

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Book Synopsis Mastering Machine Learning Algorithms by : Giuseppe Bonaccorso

Download or read book Mastering Machine Learning Algorithms written by Giuseppe Bonaccorso. This book was released on 2018-05-25. Available in PDF, EPUB and Kindle. Book excerpt: 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 and how to train, optimize, and validate them Work with Autoencoders and Generative Adversarial Networks Apply label spreading and propagation to large datasets Explore the most important Reinforcement Learning techniques Who this book is for This book is an ideal and relevant source of content for data science professionals who want to delve into complex machine learning algorithms, calibrate models, and improve the predictions of the trained model. A basic knowledge of machine learning is preferred to get the best out of this guide.

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