Bettium is a global decentralized platform enabling users to bet on sporting events against each other, each using big data and established experts to improve forecasts and strategy. Bettium provides direct access to AI, Big Data and powerful analytical tools to help the bet-tor make smart conclusions and smart bets against peers. I started following the blockchain industry in 2015 and immediately recognized the disruptive potential of the technology. This movement has many similarities to the dotcom boom of the 1990s and early 2000s -- a technology that changed the world in ways that could not even be conceived 10 years earlier. Similar to the dotcom, we are seeing explosive growth that will likely be followed by a temporary downturn, eventually shifting to an upturn again, synthesizing the blockchain industry into a stable market as the technology becomes firmly integrated into everyday lives.
Reference to artificial intelligence (AI) has become strategic in higher-ed discourse, joining the terms "big data" and "predictive modeling." When I was introduced to AI in 2013 by a member of our design team, it captivated my imagination. Since then, as our data grew to proportions that were ripe for AI, I've become enthralled by its potential to enrich the accuracy and personalization that leads to better outcomes. That does not make me an expert. If anything, it could make me equal to all out there who have wondered what these terms actually mean, how they matter to education, and where to draw the line between hype and results.
Software company Cloudera today announced a slew of machine learning product updates at the Strata Data London conference: Cloudera Data Science Workbench 1.4, Cloudera Altus Data Engineering on Microsoft Azure, and Cloudera Enterprise 6.0. All three are focused on facilitating collaboration among data teams, CEO Tom Reilly said. "We believe data can make what is impossible today possible tomorrow. With enhanced capabilities in machine learning, analytics, and cloud, the new software products and cloud services we are announcing will enable our customers to more rapidly gain competitive advantages in the data economy," Reilly said in a statement. "These enhancements demonstrate Cloudera's commitment to market-leading innovations that empower enterprises to securely transform complex data into clear and actionable insights to propel their digital transformation."
Netflix's famous algorithm challenge awarded a million dollars to the best algorithm for predicting user ratings for films. But did you know that the winning algorithm was never implemented into a functional model? Netflix reported that the results of the algorithm just didn't seem to justify the engineering effort needed to bring them to a production environment. At your company, you can create the most elegant machine learning model anyone has ever seen. It just won't matter if you never deploy and operationalize it.
Europe is ahead in the digital game, says Tata's Consultancy Services COO. But businesses and governments will need to utilise Big Data and Artificial Intelligence to improve services and the quality of life of customers. N. Ganapathy Subramaniam is the Chief Operating Officer of Tata Consultancy Services (TCS), an Indian multinational IT service, consulting and business solutions company headquartered in Mumbai. He spoke to EURACTIV's Alexandra Brzozowski on the sidelines of the European Business Summit in Brussels. How could digital economy improve business and public-sector performance?
The European Union is set to invest USD$24 billion into artificial intelligence (AI) by 2020, seeking to catch up with Asia and the United States, which each currently invest more than three times that of Europe. Of the sectors that stand to benefit the most from a boost in AI development is healthcare--a sector becoming increasingly reliant upon what's known as big data. The report came out prior to the EU's $24 billion AI investment announcement; therefore, those expected healthcare-related numbers could even be higher. Regionally speaking, North America is big data's largest market in healthcare and is expected to reach $31.12 billion by 2025--with the United States carrying the lion's share, with 91% of that North American spending coming from the country in 2017. IBM, through its IBM Watson Health has been able to study, assess, and rank largehealthcare systems.
A knowledge of design patterns enables developers to improve their codebase, promotes code reuse, and makes the architecture more robust. We start off by easing you into the world of design patterns, and helping you brush up on your OOP skills. From there, you'll explore the most widely used patterns and create objects in a manner best suited to the situation. Then we take you through some patterns that will help you identify simple ways to realize relationships between entities. Next, we show you how to encapsulate behavior in an object and delegate requests to it, before we up the ante and delve into some advanced patterns.
Data Science 101 is an educational app to learn machine learning algorithms. Due to data science and artificial intelligence, new technologies are emerging and there is need for more specialization in this field. This app is a beginner guide for anyone who wants to study data science and make their own machine learning models. This app provides high quality resources for students to study data science and machine learning algorithms and also provides required code. Decision Trees 2. Includes code for developing models of various machine learning algorithms in Python.