SAN FRANCISCO–(BUSINESS WIRE)–Databricks, the leader in unified data analytics, today announced keynote speakers alongside expanded technical content and training at Spark AI Summit which is taking place June 22 – 25 in San Francisco. To support continuous innovation and expansion of the conference content, Spark AI Summit welcomes Ben Lorica as the Program Chair. Spark AI Summit is the largest data and machine learning conference bringing together engineers, scientists, developers, analysts and leaders from around the world. "Over four days we'll gather the greatest minds in our industry to shape the future of big data, analytics and AI and share knowledge through training, over 180 talks and networking events. Spark AI Summit has become the destination for data teams to collaborate on solutions to solve the world's toughest problems," said Ali Ghodsi, cofounder and CEO at Databricks.

Machine learning and software development make up a large part of all the open-sources projects created with the help of Python. In recent years, these projects caused the creation of many working places for programmers interested in open-source development. Naming the most popular such open-source projects written in Python, it is necessary to mention TensorFlow, Keras, Scikit-learn, Flask, Django, Tornado, Pandas, Kivy, Matplotlib, and the Requests. TensorFlow is an open source software library for machine learning of a wide range of tasks. The library is developed by Google to meet its needs in systems that can build and train neural networks to detect and decrypt images and correlations, similar to the teachings and understandings applied by people.