Deep Learning and Artificial Intelligence with TensorFlow


Deep Learning is an advancement in machine learning technology that uses neural networks for building prediction models.

Prerequisites:


Offering code Offering title
CMPR.X415 Python Programming for Beginners

Sections :


Section Start Date Time Location Cost Instructor Name Full Schedule Enroll
DBDA.X418.(1) 1/22/2018 06:30 PM SANTA CLARA 1020 Ravishankar N Chityala View Enroll

Python for Machine Learning: A One-Day Workshop


This one-day lab workshop introduces students to Python, the industry standard machine learning ecosystem that uses algorithms to learn from data and make predictions. Students gain hands-on experience with installing Python libraries like Scikit, Pandas, and Matplotlib and get a quick review of Python, Pandas, and Matplotlib.



Working with a sample dataset, students learn to data cleanse—load a dataset, extract standard statistics, create a dataset visualization, perform dataset pre-processing—and then apply machine learning and prediction.

Prerequisites:


No prerequisites


Designing, Building and Integrating RESTful API


Databases, websites, and business applications need to exchange data. This is accomplished by defining standard data formats such as Extensible Markup Language (XML) or JavaScript Object Notation (JSON), as well as transfer protocols or Web services such as the Standard Object Access Protocol (SOAP) or the more popular Representational State Transfer (REST). Developers often have to design their own Application Programing Interfaces (APIs) to make applications work while integrating specific business logic around operating systems, languages or servers.

Prerequisites:


Offering code Offering title
CMPR.X413 Java Programming, Comprehensive

Sections :


Section Start Date Time Location Cost Instructor Name Full Schedule Enroll
IPDV.X401.(1) 2/2/2018 06:30 PM SANTA CLARA 760 Sanjay Patni View Enroll

Artificial Intelligence, Machine Learning, and the Deep Learning Landscape, Introduction


The Artificial Intelligence (AI) revolution generates a lot of interest and opportunity in the academic and business worlds due to its anticipated impact on the economy. One well-known AI researcher described it as “the new electricity” because it will transform our lives and every industry.



AI is already pervasive in our environment. For example, we ask Siri to get directions to the nearest charging station or we order products through Amazon Echo.

Prerequisites:


No prerequisites


Sections :


Section Start Date Time Location Cost Instructor Name Full Schedule Enroll
DBDA.X416.(2) 1/13/2018 10:00 AM SANTA CLARA 350 Hien C Luu View Enroll

Business Intelligence Solutions


Enterprises rely on business intelligence (BI) to convert relevant information into knowledge that supports better strategic decisions. Many vendors provide business intelligence tools, capable of integrating multiple data sources, processing data analysis, and building interactive dashboards. Databases are often used with additional data management, reporting and analytics capabilities.

Prerequisites:


Offering code Offering title
DBDA.X415 Relational Database Design and SQL Programming

Apache Spark with Scala, Introduction


Apache Spark is one of the latest data processing engines that can support batch, interactive, iterative and graphing processing. The combination of elegant application programming interfaces (APIs) and a fast in-memory general-purpose cluster computing system makes it a very attractive option for companies to leverage for various data processing needs. It complements Hadoop in big data analytic applications. Apache Spark is written in Scala, a functional programming language. However, its APIs are available in three programming languages: Scala, Java and Python.

Prerequisites:


Offering code Offering title
CMPR.X413 Java Programming, Comprehensive

Sections :


Section Start Date Time Location Cost Instructor Name Full Schedule Enroll
DBDA.X400.(2) 1/16/2018 06:30 PM SANTA CLARA 980 Hien C Luu View Enroll

Big Data: Overview, Tools and Use Cases


Big Data has emerged as a powerful new technology paradigm. To manage the massive data generated by social media, online transactions, Web logs, or sensors, Big Data incorporates innovative technologies in data management (unstructured, semi-structured and structured), processing, real time analytics, and visualization. It is also useful for reporting in circumstances where a relational database approach is not effective or too costly.

Prerequisites:


No prerequisites


Sections :


Section Start Date Time Location Cost Instructor Name Full Schedule Enroll
DBDA.X401.(2) 1/16/2018 06:30 PM SANTA CLARA 910 Alakh K Verma View Enroll

NoSQL Databases, Introduction


NoSQL databases support Big Data by providing scalability, high-availability, clustering, efficient storage and easy access to huge amounts of “semi-structured” data. NoSQL databases use schema-optional (non-relational) formats and are, in general, open-source.

Prerequisites:


No prerequisites


Sections :


Section Start Date Time Location Cost Instructor Name Full Schedule Enroll
DBDA.X410.(2) 1/13/2018 11:00 AM SANTA CLARA 910 Jeffrey S Miller View Enroll

Hadoop Analytics: A Case Study Approach


Hadoop’s tools for analysis provide easy access to the software’s latest data processing engines. The evolution of Hadoop’s tools now enables deep insights from massive datasets. Data scientists or business analysts who have a solid grounding in SQL and R, but who may not have a programming or developer background, can now obtain these insights. This course focuses on the analytics for Hadoop, without programming, and is case study-based. The case studies demonstrate how to create workflows and integrate the analytic efforts to produce insights.

Prerequisites:


No prerequisites


Sections :


Section Start Date Time Location Cost Instructor Name Full Schedule Enroll
DBDA.X406.(1) 1/19/2018 06:30 PM SANTA CLARA 960 View Enroll

The Internet of Things: Big Data Processing and Analytics


How are you harnessing the immense amount of data embedded inside The Internet of Things (IoT)? This phenomenon promises many new technological innovations and business benefits. The prospect of connecting potentially millions or even billions of embedded devices, sensors, appliances and other data-collecting gear to the cloud is daunting yet exciting. It requires new processes and tools for collecting and processing IoT big data and analyzing the device information to glean insights embedded within vast amounts of data.

Prerequisites:


Offering code Offering title
CMPR.X415 Python Programming for Beginners

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