PPT5: Neuron Introduction
- 1. Break into the world of Automation, Analytics & AI Presenting Neuron
- 2. Contents What is Neuron? Tools Why choose Neuron? Features ➔ Neuron for Data Scientists ➔ AI Experiments ➔ Deep Learning Models Dashboard Your team! Your Workspace Technology & Solution Providers Softwares in use Data Science Platform Jupyter Notebook Zeppelin Big Data Platform Apache Spark FDP Training Program Training Program for Professional Services USP
- 3. What is Neuron? ● Neuron is a serverless Deep Learning and AI experiment platform for analytics where you can build, deploy and visualize the data models. ● Practical lab on cloud access from anywhere Neuron – Bringing AI & Data Together
- 4. Tools
- 5. Why choose Neuron? Technology – Focused on Best Practices and Tools - Engineering Empathy – Fundamentals - Fundamentals involves intensive task based on cloud Stack Data Labs features emphasis ability to understand the strong foundation built on Computng, Big Data, Data Science on adopting the best and willingness to internalize Design thinking, algorithms, & Internet of Things. practices and Tools for developing the feedback are few analytics & how to solve the innovative & imaging ways practices important to learn problem to catalyze longness to solve the problems. With professional skills. and productivity.
- 6. Features CNN RNN GAN Autoencoder LSTM RCNN For Data Scientists Technology Stack Deep AI Learning Experiments Models Intelligent Bots Auto Scaling Advanced and Continuous Optimizing Monitoring GPU usage Deploy any ML/DL Workflow with model in minutes Interactive Dashboard Data Data Explanation Visualization Machine Deep Learning Learning Discussion Analysis
- 7. Neuron for DataScientists Data Data Explanation Visualization Machine Deep Learning Learning Manufacturing Healthcare Insurance Education Data Transportation Communication Consumer Energy Trade Analysis Data Discussion Data Scientist
- 8. AI Experiments Intelligent Bots Auto Scaling Advanced and Continuous Optimizing Monitoring GPU usage Deploy any ML/DL Workflow with model in minutes Interactive Dashboard
- 9. Deep Learning Models CNN RNN GAN Autoencoder LSTM RCNN
- 10. Dashboard Neuron dashboard is first information face to visually track the status of available and deployed softwares with total members. The interface is a glance view of key elements for using the lab.
- 11. Your team! Your Workspace! Xenony Xenony [email protected]
- 12. Technology & Solution Providers Open Stack Docker Kubernetes Hadoop Apache Spark
- 13. Softwares in use Big Data Apache Spark- Apache Spark is an analytics platform for large-scale data processing. Zeppelin- Apache Zeppelin is a web-based notebook that enables data-driven interactive analytics and collaborative documents with Scala, SQL and much more. Jupyter Notebook - Jupyter Notebook is a development environment for writing and executing Python code. The notebook is often used for analysis with description and also for executable documents to perform data analysis. Data Science
- 14. Data Science Platform Business Understanding Modelling Data Acquisition Deployment Feature Engineering Model Evaluation Model Training Data Wrangling Data Data Source Cleaning Data Exploration Start End
- 15. Jupyter Notebok What Jupyter Notebook is a development environment for writing and executing Python code. Jupyter Console- It is a terminal with kernels using Jupyter protocol. Why The notebook is often used for analysis with description and also for executable documents to perform data analysis.
- 16. Zeppelin What Apache Zeppelin is a web-based notebook that enables data-driven interactive analytics and collaborative documents with Scala, SQL and much more. 2. With Zeppelin there are possibilities to mix languages across cells. Zeppelin supports Scala, Python, SparksSQL, Hive, Markdown and Shell and we can make our own language interpreter. Why 1. It is data exploration and visualization intended for big data and large scale projects.
- 18. Apache Spark Apache Spark is an analytics Pyspark used in Python is Libraries platform providing large scale great for performing exploratory PySparkSQL- It is a PySpark data processing and can be data analysis at scale, building library to apply SQL-like easily used in applications such machine learning pipelines analysis on huge structured as Java, Python, Scala, R and and to create ETLs for data and semi-structured data. SQL platform. Py4J – Popular library which is integrated within Pyspark and allows to dynamically interface JVM objects
- 19. FDP Training Program Big Data Overview Need of Big Data Need of Apache Spark Big Data Landscape Need of Hadoop JVM based Programming- Java & Scala
- 21. PlanningData Integration ETL Deployment Lambda Architecture Designing the BigData Solutions Hadoop Architect Data Warehousing Data Pipeline
- 22. Training Programs For Professionals Hadoop Adminstration Data Engineering BigData With Java BigData Analytics Big Data Training Apache Spark With Python NoSQL Essentials
- 23. OpenStack Administration Cloud Computing Essentials OpenStack Professional AWS Professional Azure Professional Google Cloud Professional Cloud Computing Training
- 24. DevOps Using Puppet & Chef DevOps Essentials DevOps Using Ansible DevOps Training
- 25. DataIntegration Training Business Intelligence Business Analytics Business Intelligence Training
- 26. Data Scientist With Python Data Science 101 R Programming & Analysis Text Analytics Data Science Accelerator Program IoT Accelerator Program Data Science & IoT Training
- 28. Services ● Data Science with Python ● Deep Learning, NLP and Text Analytics ● Big Data Analytics with Scala ● DevOps & Linux- Ansible, Terraform ● Kubernetes & Docker
- 29. USP ● Build, train and host your models ● Build and host your open source, innovative and visualize AI projects. ● Tackles complicated projects with ease. ● Big data platform- manage at one place ● Minimize strain on production ● Handle many projects in pipeline ● Scale at any deployment option