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Machine Learning Session-Linear And Logistic Regressions

Machine Learning Session -Live Case Study- Perform Linear and Logistic regressions on real set of data

FREE
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Webinar Details

Raj Sharma Works with Startups to Scale AI. He is a Lead Consultant and Course director for Artificial Intelligence Cyber security @University of Oxford 

Royal Voluntary Service -Fighting against COVID-19
 
Agenda (10th May 2020 6pm - 7.30pm) 

1. Machine Learning Concepts
2. Linear Regression - Case Study
3. Logistic Regression - Case Study
4. AI- ML Mentorship Opportunities



Who this course is for: 
Anyone interested in Machine Learning
Students who have at least high school knowledge in math and who want to start learning Machine Learning.
Any intermediate level people who know the basics of machine learning, including the classical algorithms like linear regression or logistic regression, but who want to learn more about it and explore all the different fields of Machine Learning.
Any people who are not that comfortable with coding but who are interested in Machine Learning and want to apply it easily on datasets.
Any students in college who want to start a career in Data Science.
Any data analysts who want to level up in Machine Learning.
Any people who are not satisfied with their job and who want to become a Data Scientist

Meet Your Instructor

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Raj Sharma

Lead Consultant - Artificial Intelligence for Cybersecurity @University of Oxford,UK

Raj as founder of CyberPulse has 20+ years’ experience in software consulting , research and entrepreneurship with artificial intelligence (machine learning and deep learning) , Big data and Cloud technologies and worked with companies like Microsoft, google and Yahoo!.

Also CTO and AI Tech advisor with Startups and help them building Game changing Tech using AI and Big Data for domains such as Healthcare, cybersecurity, robotics and education also he has been involved in building cyber security AI platform based on an ensemble of autoencoders.

Also passionate about teaching Artificial Intelligence and Tech Entrepreneurship to young people
London based and a British citizen

Raj is Lead Consultant at Oxford University for AI and Invited expert guest speaker of Data science and IOT and edge implementation at Oxford University.

Master's Degree in Information Security certified by GCHQ, the UK Government Communications Headquarters and Research Project in AI also has a strong software engineering background with mathematics and statistics.
Experience of Planning and architecting hackathon.

Open Source Communities:
Blockchain , Crypto , AI for Social goods - AI and Accessibility with Microsoft , Deep learning framework with Nvidia , Splunk Python Scientific Computing for AI .

Hands on experience with following Tech:
Machine Learning and Deep learning algorithms ( Random forest , Isolation forest , LSTM for time series , NLP , autoencoders for dimensionality reduction and for other use cases , Deep log framework for anomaly detection , Computer Vision , Bayesian inference , Principal Component Analysis, RNNs , Personalisation )
Cloud Technologies (AWS, Microsoft Azure Cloud and AI and DevOPs , Google Cloud Platform with Machine learning and used GPUs and TPUs and FPGA and Trusted Execution Environment)
Data processing frameworks ( Hortonworks and Cloudera / Databricks )