Do you want to impress the processes that you are working on? Do you want to make your machines more intelligent? If your answer to any of those questions is yes, then you have come to the right place.This audiobook is a sequel to the book titled Machine Learning: A Step-by-Step Guide. In the first book, you gathered information on what machine learning is, and the different algorithms that one needs to know. This book is for those who have a basic understanding of what machine learning is.

Whether you're learning how to code for the first time, or just trying to add to your programming arsenal, you're in the right place. Python is one of, if not the most, widely used programming language today, whether you're at a large corporation or at home developing a game. It doesn't matter if you're into game development or mobile app engineering; Python is a great choice either way. The structure of the language doesn't require lengthy code to be written, and its comprehensive standard library allows it to support multiple programming paradigms.

Even though you have no prior knowledge about AI, this guide will let you explore the world of AI and how you can leverage the technology to improve decision-making, enhance efficiency, and boost sales—all while reaching out to more customers.

This book is designed to be an introduction to machine learning algorithms for a complete beginner. It starts with an explanation of exactly what machine learning algorithms are and then walks you through the languages and frameworks used to create them. Studying machine learning is considered to be quite challenging due to the impression that special talent is required or some unachievable level of mathematics is needed in order to understand the various algorithms and techniques. But anyone can learn to become a machine learner and put the theory into practice.

Discover how to take advantage of the coming AI and neural networks revolution, set yourself up for success, and make your businesses future-proof with the definitive guide to artificial intelligence! In this guide, Melvin Doyle skips the fluff and gives a clear overview of the technology explained in plain, simple English. Your eyes will be opened to how AI is transforming the way business is done, as well as techniques and strategies to apply this cutting edge tech to your own businesses.

This audiobook gives you the opportunity to understand how python machine learning works and how to learn and apply these techniques in everyday life. You will learn the basics of programming in python and some examples of problems which can be solved with machine learning. The work was written especially for beginners. The topic is treated with simplicity and it is easy to listen and understand. If you want to improve on your projects and applications, make sure you listen to this audiobook that will give you the right help to get you started!

Python Machine Learning is a guide to provide you with all the information required to master machine learning using Python. It will give you deep insight into methods of machine learning, deep learning, big data, data science, and more. Furthermore, it will also teach you concepts of Python and how combining machine learning with Python can result in practical solutions. The audiobook touches upon how these solutions can be applied in various fields including governance, technology, business, cybersecurity, and more.

Are you looking for an ultimate python step-by step guide in an efficient way? Do you want to implement a variety of supervised and unsupervised learning algorithms and techniques quickly and accurately? If you cannot wait to explore the fundamental concepts and entire process on python data science, listen to this audiobook! You will start by learning the basics of working with Python and the wide variety of data science packages and extensions. You will be guided on how to setup you work environment before diving into the world of data science.

While you may have never thought of networking in detail, this book will introduce you to the basics of networking, the different types of networks available, the types of network topologies that you will encounter, the concept of server virtualization, and details of how to handle network breaches.

Machine learning (and also data science) is a computer algorithm that learns how to improve, adjust, and formulate new rules into itself. It's an important, high-demand field that is going to be the future of computer programming....

Team Topologies is a practical, step-by-step, adaptive model for organizational design and team interaction based on four fundamental team types and three team interaction patterns. It is a model that treats teams as the fundamental means of delivery, where team structures and communication pathways are able to evolve with technological and organizational maturity. In Team Topologies, IT consultants Matthew Skelton and Manuel Pais share secrets of successful team patterns and interactions to help listeners choose and evolve the right team patterns for their organization.

Is AI something you’ve heard a lot about but you literally have zero ideas on how to even get started with it? If you want to make moves in the world of business and start bringing in 10 times as more money to your online business, everyone will tell you to use AI. You’ll also be sold the AI dream if you say you want to progress in your career faster than your rivals and find a new way to cruise through your to-do list while making it look easy.

Python programming has become a must-learn skill in the data science domain. It has evolved as the most preferred programming language for data-driven development because it is suitable for many data science tasks and is easy to learn compared to other programming languages. In short, Python is the closest programming language to fit the goal of a beginner and a great starting place.

Python Data Science: The Ultimate Crash Course for Data Analysis is a step-by-step guide for those who want to start programming by using Python for their projects and to make their researching activities much easier. The guide will introduce you to the basics of this programming language, and you will have the chance to learn how to use and code in Python with matched libraries, easily and effectively.

Master Python machine learning even if you don’t have a tech background! Are you interested in starting a career in the IT industry, but worry that the market is overly saturated with programmers, engineers, and various specialists? Machine learning is currently the fastest growing IT sector. It’s an artificial intelligence branch and deals with building machines that can imitate humans and even adapt.

Look around you. Artificial intelligence is no longer just a futuristic notion. It's here right now - in software that senses what we need, supply chains that "think" in real time, and robots that respond to changes in their environment. Twenty-first-century pioneer companies are already using AI to innovate and grow fast. The bottom line is this: Businesses that understand how to harness AI can surge ahead. Those that neglect it will fall behind. Which side are you on?

The confluence of four technologies - elastic cloud computing, big data, artificial intelligence, and the internet of things - writes Siebel, is fundamentally changing how business and government will operate in the 21st century. Siebel masterfully guides listeners through a fascinating discussion of the game-changing technologies driving digital transformation and provides a roadmap to seize them as a strategic opportunity.

Artificial intelligence is changing our world faster than we can imagine, and it will impact every area of our lives. And this is happening whether we like it or not. You might have heard that many jobs will be replaced by automation and robots, but did you also know that at the same time a huge number of new jobs will be created by AI? This book covers many fascinating and timely topics related to artificial intelligence, including: self-driving cars, robots, chatbots, and how AI will impact the job market, business processes, and entire industries, just to name a few.

This book predicts the decline of today's professions and describes the people and systems that will replace them. In an Internet society, according to Richard Susskind and Daniel Susskind, we will neither need nor want doctors, teachers, accountants, architects, the clergy, consultants, lawyers, and many others to work as they did in the 20th century.

You might've talked about innovation with your IT department or software development agency lately and the words "design thinking" were surely mentioned. So what is it? Just another piece of business jargon to add to your arsenal or a useful tool? Or maybe even an overestimated hype? Nowadays every organization or business runs into a myriad of problems as business models become increasingly more complex. Globalization and advances in communication and technology, all add up to creating unique opportunities but also new challenges that are not easy to solve applying the old tested methods.

YouTube sensations and best-selling authors Sean Cannell and Benji Travis take your YouTube channel from slow and dormant to accelerated and engaged, using premium and updated YouTube growth tips for creators, business owners, digital entrepreneurs, and influencers. This is the ultimate game plan to grow a following and make money with the power of video.

Doom Guy: Life in First Person is the long-awaited autobiography of gaming’s original rock star and the cocreator of DOOM, Quake, and Wolfenstein—some of the most recognizable and important titles in video game history. Credited with the invention of the first-person shooter, a genre that continues to dominate the market today, he is gaming royalty. Told in remarkable detail, a byproduct of his hyperthymesia, Romero recounts his storied career.

On May 31, 2014, in the Milwaukee suburb of Waukesha, Wisconsin, two 12-year-old girls attempted to stab their classmate to death. Morgan Geyser and Anissa Weier’s violence was extreme, but what seemed even more frightening was that they committed their crime under the influence of a figure born by the internet: the so-called “Slenderman”. Yet the even more urgent aspect of the story, that the children involved suffered from undiagnosed mental illnesses, often went overlooked in coverage of the case.

The grid is an accident of history and of culture, in no way intrinsic to how we produce, deliver and consume electrical power. Yet this is the system the United States ended up with, a jerry-built structure now so rickety and near collapse that a strong wind or a hot day can bring it to a grinding halt. The grid is now under threat from a new source: renewable and variable energy, which puts stress on its logics as much as its components.

In this fascinating book, investigative reporter Yasha Levine uncovers the secret origins of the Internet, tracing it back to a Pentagon counterinsurgency surveillance project. With deep research, skilled storytelling, and provocative arguments, Surveillance Valley will change the way you think about the news - and the device on which you read it.

Technical knowledge alone isn't enough - increase your software development income by leveling up your soft skills Early in his software developer career, John Sonmez discovered that technical knowledge alone isn't enough to break through to the next income level - developers need "soft skills" like the ability to learn new technologies just in time, communicate clearly with management and consulting clients, negotiate a fair hourly rate, and unite teammates and coworkers in working toward a common goal.

A New York Times technology correspondent presents the dramatic rise and fall of Uber, set against the rapid upheaval in Silicon Valley during the mobile era. Based on hundreds of interviews with current and former Uber employees, along with previously unpublished documents, Super Pumped is a pause-resisting story of ambition and deception, obscene wealth, and bad behavior, that explores how blistering technological and financial innovation culminated in one of the most catastrophic 12-month periods in American corporate history.

Artificial intelligence does the seemingly impossible - driving cars, trading stocks, and teaching children. But facing the sea change that AI will bring can be paralyzing. How should companies set strategies, governments design policies, and people plan their lives for a world so different from what we know? In Prediction Machines, three eminent economists recast the rise of AI as a drop in the cost of prediction. With this single, masterful stroke, they lift the curtain on the AI-is-magic hype and show how basic tools from economics provide clarity about the AI revolution and a basis for action by CEOs, managers, policy makers, investors, and entrepreneurs.

In April 1956, a refitted oil tanker carried 58 shipping containers from Newark to Houston. From that modest beginning, container shipping developed into a huge industry that made the boom in global trade possible. The Box tells the dramatic story of the container's creation, the decade of struggle before it was widely adopted, and the sweeping economic consequences of the sharp fall in transportation costs that containerization brought about.

Run a Google search for “black girls” - what will you find? “Big Booty” and other sexually explicit terms are likely to come up as top search terms. But, if you type in “white girls”, the results are radically different. The suggested porn sites and un-moderated discussions about “why black women are so sassy” or “why black women are so angry” presents a disturbing portrait of black womanhood in modern society. In Algorithms of Oppression, Safiya Umoja Noble challenges the idea that search engines like Google offer an equal playing field for all forms of ideas, identities, and activities.