Machine learning has finally come of age. With H2O software, you can perform machine learning and data analysis using a simple open source framework that's easy to use, has a wide range of OS and language support, and scales for big data. This hands-on guide teaches you how to use H20 with only minimal math and theory behind the learning algorithms. Hot & New What you'll learn This course covers the main aspects of the H2O package for data science in Python. If you take this course, you can do away with taking other courses or buying books on Python-based data science as you will have the keys to a very powerful Python supported data science framework.

Artificial Intelligence in Business is practical. When you think about neural networks, don't think about abstract mathematical structures, but rather computer systems which needs data to learn business processes and how to operate within them. Data Science in not a real science, it's an experimentation domain, where you need to constantly adjust, test, build prototypes from scratch and rebuild what you have. This paradigm of using neural networks, statistics on steroids, is what makes AI both practically and theoretically complex, with such a large range of applications, which we're going to cover in the next chapter. So how Data Science or Artificial Intelligence is currently done?

Create and implement AI-based features in your Swift apps for iOS, macOS, tvOS, and watchOS. With this practical book, programmers and developers of all kinds will find a one-stop shop for AI and machine learning with Swift. Taking a task-based approach, you ll learn how to build features that use powerful AI features to identify images, make predictions, generate content, recommend things, and more.AI is increasingly essential for every developer and you don t need to be a data scientist or mathematician to take advantage of it in your apps. Learn where and how AI-driven features make sense. Inspect tools such as Apple s Python-powered Turi Create and Google s Swift for TensorFlow to train and build models.

Discover how all levels Artificial Intelligence (AI) can be present in the most unimaginable scenarios of ordinary lives. This book explores subjects such as neural networks, agents, multi agent systems, supervised learning, and unsupervised learning. These and other topics will be addressed with real world examples, so you can learn fundamental concepts with AI solutions and apply them to your own projects. People tend to talk about AI as something mystical and unrelated to their ordinary life. Practical Artificial Intelligence provides simple explanations and hands on instructions.

Advancements in AI have given us access to Natural Language Processing and image recognition, easily available and black-boxed via APIs. But instead of requiring AI to think like a human, we achieve the best results when we see how AI can augment human behavior. For instance, if I want a specific audience to see my blog posts, instead of creating an AI which would traverse their social media activity and try to understand their mindset with NLP, I can simply use statistics to see which posts they are sharing most, or when they are most active on Twitter. This approach is easy to build and offers fast returns, while the former would require ages to develop. Cambridge Analytica used this concept and applied it to Facebook "likes" to form psychological profiles of its targets.

I'm a developer and freelance tech blogger that covers various topics from cyber-security and artificial intelligence to hacking and blockchain. I try to identify the intersection of tech in human life and how it affects our future.

Artificial Intelligence is, depending on whom you ask, the hottest new thing in tech or the latest fad that will fade away just like all the others did before it. However, based on its enormous success over the fast five years, and its undeniable and quite realistic promise, it is hard to imagine AI not penetrating and reshaping all industries in the upcoming years. The really big question is how exactly will AI impact the industries, and what sorts of businesses and solutions are the most likely to bring the AI to the masses. This short book makes a strong case that the marriage of AI and cloud computing, another popular tech paradigm these days, has the best chance of creating the biggest impact in the foreseeable future. Training and maintaining AI models can be extremely computationally intensive, and the amount of data required for such solution is oftentimes beyond reach of most users and companies.

Now is the time where the perfect combination for the development of AI was made. This is the perfect time for AI growth. Perhaps many of us have heard the subject of artificial intelligence as a top trend for 2017. The AI will play an important role as part of the next great movement that automates processes and decision-making in all industries. Here is some context: In 2016, the White House recognized the importance of AI at its Frontiers Conference. The concept of driverless cars became a reality, with Uber's self-driving fleet in Pittsburgh and Tesla's new models equipped with the hardware for full autonomy.

Now is the time where the perfect combination for the development of AI was made. This is the perfect time for AI growth. Perhaps many of us have heard the subject of artificial intelligence as a top trend for 2017. The AI will play an important role as part of the next great movement that automates processes and decision-making in all industries. Here is some context: In 2016, the White House recognized the importance of AI at its Frontiers Conference. The concept of driverless cars became a reality, with Uber's self-driving fleet in Pittsburgh and Tesla's new models equipped with the hardware for full autonomy.

Mike Barlow is an award-winning journalist, author and communications strategy consultant. Since launching his own firm, Cumulus Partners, he has represented major organizations in numerous industries. Mike is coauthor of The Executive's Guide to Enterprise Social Media Strategy (Wiley, 2011) and Partnering with the CIO: The Future of IT Sales Seen Through the Eyes of Key Decision Makers (Wiley, 2007). He is also the writer of many articles, reports, and white papers on marketing strategy, marketing automation, customer intelligence, business performance management, collaborative social networking, cloud computing, and big data analytics. Over the course of a long career, Mike was a reporter and editor at several respected suburban daily newspapers, including The Journal News and the Stamford Advocate.