Your Starter Guide for Data Management, Model Training, Neural Networks, Machine Learning Algorithms

Ready to crank up a neural network to get your self-driving car to pick up the kids from school? Want to add "deep learning" to your LinkedIn profile? Well, hold on there.... Before you embark on your epic journey into the world of deep learning, there is basic theory to march through first! Take a step-by-step journey through the basics of neural networks and deep learning, made so simple that...even your granny could understand it!

In this audiobook, machine learning expert Ethem Alpaydin offers a concise overview of the subject for the general listener, describing its evolution, explaining important learning algorithms, and presenting example applications. Alpaydin offers an account of how digital technology advanced from number-crunching mainframes to mobile devices, putting today's machine learning boom in context.

It has never been easier for organizations to gather, store, and process data. Use of data science is driven by the rise of big data and social media, the development of high-performance computing, and the emergence of such powerful methods for data analysis and modeling as deep learning. Data science encompasses a set of principles, problem definitions, algorithms, and processes for extracting non-obvious and useful patterns from large datasets.

Expand your skills from being a basic data scientist to becoming an expert data scientist ready to solve real-world data-centric issues. Discover two comprehensive manuscripts in one audiobook.

Discover and learn all about the machine learning in this audiobook. You will appreciate and learn more about advanced machine learning algorithms that are not presented in earlier books. Do you know that you are highly likely part of testing datasets for companies in their machine learning model training, application, and mobile apps? Don’t you want to learn more about the framework that institutions and companies are using for machine learning?

Discover and learn all about machine learning in this book. You will understand and learn more about machine learning with the proper frameworks to solve problems. Have you seen or read about the automated driverless cars cruising the road and highways? Don’t you want to learn more about the framework that institutions and companies are using for machine learning?

Ohne den Einsatz modernster Technik geht in vielen Bereichen heutzutage nichts mehr. Immer neue Fortschritte sorgen dafür, dass unser Alltag regelmäßig durch Innovationen auf den Kopf gestellt wird. Insbesondere die künstliche Intelligenz (KI) spielt dabei eine große Rolle. Während viele den Einfluss der KI noch gar nicht mitbekommen haben, ist die künstliche Intelligenz mittlerweile in fast jedem Haushalt zu finden und zentraler Bestandteil vieler Abläufe des Alltags.

Führen in digitalen Zeiten. Klar und mit großer Autorität reduziert Reinhard K. Sprenger die Herausforderungen der Digitalisierung auf drei Kernaufgaben für Führungskräfte: Kunde - Kooperation - Kreativität. Drei Dimensionen, die im Prozess des modernen Organisierens über Jahrzehnte vernachlässigt wurden und jetzt ihren Weg zurück in die Unternehmen finden. Denn Digitalisierung bedeutet nicht die Macht der Maschinen oder die Herrschaft der Algorithmen.

Ein Familienunternehmen lässt digitale Geschäftsmodelle von Mitarbeitern und Betriebsrat entwickeln. Ein Mittelständler revolutioniert mit einer digitalen Dienstleistung die Nahrungsmittelindustrie. Ein frisch gegründetes Produktteam wirft bisherige Prozesse über Bord, lernt selbstständig agile Zusammenarbeit und erwirtschaftet so Millionenumsätze. Wie ist das möglich?

Was there a beginning of time? Could time run backwards? Is the universe infinite, or does it have boundaries? These are just some of the questions considered in an internationally acclaimed masterpiece by one of the world's greatest thinkers. It begins by reviewing the great theories of the cosmos, from Newton to Einstein, before delving into the secrets which still lie at the heart of space and time, from the big bang to black holes, via spiral galaxies and strong theory.

If you are an active user of statistics to examine trends in your business, then using machine learning is your next best step. It uses advanced predictive algorithms of different aspects of your business to help you make the best possible decision. If you are new to business or thinking about starting a new business, this will also help you lay the groundwork and get ahead of others who are at your same level. It is a fascinating listen recommended for everyone, as it also looks at how machine learning and AI can impact society as a whole.  

Elon Musk, Stephen Hawking, and Bill Gates have proclaimed Artificial Intelligence as a possible threat in the future unless humans learn to use it wisely. Could this be true? Is it possible for us to create artificial intelligence programming so that we'll soon have thinking and feeling AI? Is it even possible for us to have a human-looking AI run for president in the future? All of these questions and thoughts are addressed in Artificial Intelligence: Understanding A.I. and the Implications of Machine Learning.

The best-selling author of Big Data is back, this time with a unique and in-depth insight into how specific companies use big data. Big data is on the tip of everyone's tongue. Everyone understands its power and importance, but many fail to grasp the actionable steps and resources required to utilise it effectively. This book fills the knowledge gap by showing how major companies are using big data every day, from an up-close, on-the-ground perspective.

"Scrum" heißt die revolutionäre Methode, die seit den 90er-Jahren große IT-Projekte zum Fliegen bringt. Und das schneller und kostengünstiger als geplant: Unternehmen, die mit Scrum arbeiten, schaffen die doppelte Arbeit in der Hälfte der Zeit. Gar nicht auszudenken, was geschähe, wenn jede Firma von dieser Methode profitieren könnte! Genau das ist Jeff Sutherlands Mission.

Wie uns unser persönlicher digitaler Wandel gelingt: Wir spüren alle, dass der Boden, auf dem wir stehen, zittert. Lähmt uns der Gedanke, dass rund die Hälfte aller Berufe aussterben wird? Oder elektrisiert uns die Aussicht auf eine glanzvolle digitale Zukunft? Christoph Keese, einer der führenden Digitalisierungsexperten Deutschlands, ist immer am Puls der Veränderungen. Er fordert uns auf, unsere persönlichen Stärken zu erkennen und zu nutzen, um uns radikal neu zu erfinden. Zeigt, wie wir es schaffen, mit den Entwicklungen Schritt zu halten.