Computer vision is a branch of computer science which deals with recognizing objects, people and identifying patterns in visuals. It is basically analogous to the vision of an animal.
The agenda for this webinar is:
Eligibility:
This webinar will be useful for those who are working in software development and are trying to understand the fundamentals as well as go hands-on with computer vision.
Even if you are a beginner, you may join the session.
Computer vision is a branch of computer science which deals with recognizing objects, people and identifying patterns in visuals. It is basically analogous to the vision of an animal.
The agenda for this meetup is:
Eligibility:
You should have some basic idea of machine learning. This webinar will be useful for those who are working in software development and are trying to understand the fundamentals as well as go hands-on with computer vision.
My suggestion is that even if you are a beginner, do join this session. I assure you that you won't be disappointed.
This session is mostly going to be online. So, you can ask all your friends to join from across the globe. We will be sharing the link to the meeting before the session.
Computer vision is a branch of computer science which deals with recognizing objects, people and identifying patterns in visuals. It is basically analogous to the vision of an animal.
The agenda for this meetup is:
Eligibility:
You should have some basic idea of machine learning. This webinar will be useful for those who are working in software development and are trying to understand the fundamentals as well as go hands-on with computer vision.
My suggestion is that even if you are a beginner, do join this session. I assure you that you won't be disappointed.
This session is mostly going to be online. So, you can ask all your friends to join from across the globe. We will be sharing the link to the meeting before the session.
There is massive growth in the big data space, and job opportunities are skyrocketing, making this the perfect time to launch your career in this space. CloudxLab is pleased to announce its free webinar on Big Data with Spark & Scala, to help you learn from Industry Experts with more than 15 years of experience.
Topics to be covered during the webinar
Big Data & its importance.
Big Data - examples and applications
Apache Spark and its Components - Overview
Hands-on demo on cloud-based lab
Keynotes
This is the first and the only free session of our Instructor-Led Course on Big Data with Spark & Scala. For more details, please click here
Artificial Intelligence has a significant presence in top emerging jobs in today's era. Its one of the fastest growing skills and has become inevitable, so taking a step ahead CloudxLab welcomes you to its Free Webinar on Introduction to Machine Learning Process (with Q&A Session) on 18 May'2019 with our Industry Experts.
Topics to be covered in the Webinar -
Introduction to Artificial Intelligence
Introduction to Machine Learning & Deep Learning
Keynotes
This is the first and the only free session of our Instructor Led Live Q&A training for AI for Managers course on CloudxLab, for more details, please click here
You will learn the below topics
What is Big Data & why is it important
Big Data - examples and applications
Introduction to Apache Spark and its components
Hands-on demo on cloud-based lab
Let's meet up for a fireside chat on Introduction and Careers in AI at WeWork Prestige Atlanta. This meetup is all about Artificial Intelligence. The agenda of the meetup is:
Please register yourselves at https://goo.gl/pH2wbZ
What is Big Data & why is it important
Big Data - examples and applications
Hadoop ecosystem & details of various components
Hands-on with the components in Hadoop
Understanding the Spark architecture
CloudxLab hands-on demo
Overview of Python for Machine Learning
Introduction to Machine Learning
Machine Learning - Examples
Machine Learning - Applications
Hands-on Demo on Machine Learning
What is Big Data & why is it important
Big Data - examples and applications
Introduction to Apache Spark and its components
Hands-on demo on cloud-based lab
There shall be an online test for 1.5 hours which would consist of objective questions based on mathematics required for Machine Learning.
Topics that it will cover are linear algebra, probability theory, statistics, multivariable calculus, algorithms, time complexity, aptitude and Data Interpretation,
Number of questions will be 25,
Each question will have a weightage equal to the score it is for,
No negative marking, and
The test link will be sent only 30 minutes before the scheduled start time.
What is Big Data & why is it important
Big Data - examples and applications
Hadoop ecosystem & details of various components
Hands-on with the components in Hadoop
Understanding the Spark architecture
CloudxLab hands-on demo
What is Big Data & why is it important
Big Data - examples and applications
Hadoop ecosystem & details of various components
Hands-on with the components in Hadoop
Understanding the Spark architecture
CloudxLab hands-on demo
You will learn the below topics
What is Big Data & why is it important
Big Data - examples and applications
Introduction to Apache Spark and its components
Hands-on demo on cloud-based lab
Overview of Python for Machine Learning
Introduction to Machine Learning
Machine Learning - Examples
Machine Learning - Applications
Hands-on Demo on Machine Learning
Deep learning is a promising approach for extracting accurate information from raw sensor data from IoT devices deployed in complex environments. Because of its multilayer structure, deep learning is also appropriate for the edge computing environment.
Sandeep will provide an introduction to Deep Learning, core technologies, methodologies and approach on how Deep Learning can enable IoT applications.
There shall be an online test for 1.5 hours which would consist of objective questions based on mathematics required for Machine Learning.
Topics that it will cover are linear algebra, probability theory, statistics, multivariable calculus, algorithms, time complexity, aptitude and Data Interpretation,
Number of questions will be 25,
Each question will have a weightage equal to the score it is for,
No negative marking, and
The test link will be sent only 30 minutes before the scheduled start time.
This session would broadly cover the following:
Performance measure
This session would broadly cover the following:
In this workshop, you will be introduced to six modules. Each module introduces one or two core Machine Learning concepts while working through the practical implementation.
Overview of Machine Learning
Manipulation and plotting data
Preprocessing and exploring data
Training a binary classifier
Measuring Performance
Learning Multi-class classification