What we're about

This is a group for anyone interested in Data Science, Deep Learning, Machine Learning, Artificial Intelligence, Big Data, Data Pipelines, Blockchain and Decentralized Distributed Computing etc. All skill levels are welcome. I started this group to meet other Data Science Enthusiasts. Looking forward to exploring the AI Data Science with everybody. I offer very inexpensive training in Data Science every month.

Upcoming events (1)

All New Content!! AI and Deep/Machine Learning training

All new content!! 2 day Deep/Machine Learning and AI Training Erudition Inc. Erudition Inc. is offering AI Deep Learning training on March[masked]. Our mission: Erudition Inc.'s mission is to provide education in emerging technologies to masses at no cost or very affordable rate. What is life's objective at the end of the day? Life is fleeting, and permanence in this world is something we all strive for. The best way to achieve permanence is through sharing knowledge. Doesn't matter if you are aligned to left brain or right brain you can join Erudition in your Emerging Technologies training!! We will also provide interview help and placement services. You will get USD300.00 worth of books for Free!! That are written by Bhairav Mehta and other authors. Time Date : April[masked]AM to 6PM Location: ITU, 2711 North First Street, San Jose, CA 95124 Cost: 200USD Instructor: Bhairav Mehta Bhairav Mehta is Data Science Manager at Apple Inc. He has 15 years experience in Analytics and Data Science space at various fortune 100 companies. Bhairav Mehta is academician and tenured faculty at various Bay area Universities. Bhairav Mehta has taught 1000s of students in AI, ML and Big Data technologies over last 5 years. He also gives talks at Association of Computing Machinery (ACM), IEEE Computer Science society, Global Big Data and AI conferences, Open Data science conference and other forums. Bhairav Mehta has 5 graduate degrees from top institutes: MS Computer Science (GeorgiaTech), MBA (Cornell University), MS Statistics (Cornell University) etc. Linkedin Profile: https://www.linkedin.com/in/mehtabhairav/­ Erudition Website: http://www.eruditionsiliconvalley.com Bhairav Mehta talk videos and other conference proceedings: https://bit.ly/2MrMbGV­ What is this course about? What do web search, speech recognition, face recognition, machine translation, autonomous driving, and automatic scheduling have in common? These are all complex real-world problems, and the goal of artificial intelligence (AI) is to tackle these with rigorous mathematical tools. In this course, you will learn the foundational principles that drive these applications and practice implementing some of these systems. Specific topics include machine learning, search, game playing, Markov decision processes, constraint satisfaction, graphical models, and logic. The main goal of the course is to equip you with the tools to tackle new AI problems you might encounter in life. Schedule: Day 1 Industry Trends, Machine Learning methods, Python Illustrations, AI Intro, Neural Networks Intro, First Neural Network, Convolution Neural Network Day 2 Convolution Neural Network continued, Natural Language processing, Text Mining, RNN LSTM, Chatbots, GRU, RCNN, Mask RCNN, Generative and Adversarial Models, Reinforcement Learning Review and Introduction to advanced concepts in Neural Networks e.g. Reinforcement Learning, Generative Adversarial Networks, Autonomous Driving car etc. Intended Audience Programmers, analysts, managers, investors, enthusiast pretty much anyone technically curious about deploying Machine Learning. TextBooks: Deep Learning An MIT Press book Ian Goodfellow and Yoshua Bengio and Aaron Courville http://www.deeplearningbook.org https://github.com/janishar/mit-deep-learning-book-pdf/blob/master/complete-book-pdf/deeplearningbook.pdf Other Reading Material: Slides (To be delivered separately) Following material will be provided by Bhairav Mehta (It is worth USD300.00) 4 workshop guides will be provided Deep Learning and Python CNN Deep Learning and Natural Langugage Processing LSTM and RNN Each topic includes codes and explanation step-by-step Thanks Bhairav Mehta URL: http://www.eruditionsiliconvalley.com Phone#[masked] Email: [masked]

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