Have you ever wondered how self-driving cars are running on roads or how Netflix recommends the movies which you may like or how Amazon recommends you products or how Google search gives you such an accurate results or how speech recognition in your smartphone works or how the world champion was beaten at the game of Go?
Machine learning is behind these innovations. In the recent times, it has been proven that machine learning and deep learning approach to solving a problem gives far better accuracy than other approaches. This has led to a Tsunami in the area of Machine Learning.
The agenda for this webinar is:
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
The scholarship test will consist of Multiple Choice Questions (MCQs) from Basic Programming and Mathematics.
Top 10 Users will get a 30% discount on the price of the instructor-led training on Machine Learning Specialization
This specialization course is designed for those who want to gain hands-on experience in solving real-life problems using machine learning and deep learning. After finishing this specialization, you will find creative ways to apply your learnings to your work. For example
If we can make computers play chess and even Jeopardy, then why can't we make them see like us?
This is a particularly perplexing question when we consider how easy we find the act of seeing which we perform countless times each day with virtually no errors.
What makes vision such a hard problem? How does the brain accomplish vision? To answer these questions we are recording brain signals at multiple scales to understand how the brain is solving this problem and using these data to improve computer vision.
In this webinar, we will be describing some of the recent findings elucidating object recognition at the behavioral, neuronal, and computational levels.
Have you ever wondered how self-driving cars are running on roads or how Netflix recommends the movies which you may like or how Amazon recommends you products or how Google search gives you such accurate results or how speech recognition in your smartphone works or how the world champion was beaten at the game of Go?
Machine learning is behind these innovations. In recent times, it has been proven that machine learning and deep learning approach to solving a problem gives far better accuracy than other approaches. This has led to a Tsunami in the area of Machine Learning.
The agenda for this webinar is:
The most necessary thing for communication is language. We are already proficient in multiple languages to communicate with ourselves. Today, in the age of automation, where we are spending more time interacting with computers rather than the others, we must know a programming language too.
Java, JavaScript, C#, Ruby, Python, C++ are all great technologies. Generally, all these languages are good and do the job but which one is the best? Python is considered as the easiest and most versatile language of all time amongst developers. It is the most common language used by almost every industry around the globe including Google, NASA, Facebook, and IBM.
In this webinar, we will be taking a deeper dive in Data Analysis Using Python
The agenda for this webinar is:
If we look at the current trend in the market, it is very clear that every company is moving towards artificial intelligence. Every company is looking for problem solvers. Artificial Intelligence is used today in recognizing people (face recognition), detecting a threat, building a robot or making an autonomous car.
Earlier, there used to be people specialized in various fields Audio processing, video processing, Image Processing, etc. Today, all these branches are merging into AI.
The agenda for this webinar is:
The most necessary thing for communication is language. We are already proficient in multiple languages to communicate with ourselves. Today, in the age of automation, where we are spending more time interacting with computers rather than the others, we must know a programming language too.
Java, JavaScript, C#, Ruby, Python, C++ are all great technologies. Generally, all these languages are good and do the job but which one is the best? Python is considered as the easiest and most versatile language of all time amongst developers. It is the most common language used by almost every industry around the globe including Google, NASA, Facebook, and IBM.
In this webinar, we will be taking a deeper dive in Data Analysis Using Python
The agenda for this webinar is:
In the current scenario, almost all the systems are becoming online. This pretty much calls to make sure that the code you write is secure. The objective of the session is to understand how to write secure code or code with the least security vulnerabilities.
This is a hands-on session with case studies and code.
The agenda for this webinar is:
Anybody who has a basic understanding in programming can attend this session.
In the current scenario, almost all the systems are becoming online. This pretty much calls to make sure that the code you write is secure. The objective of the session is to understand how to write secure code or code with the least security vulnerabilities.
This is a hands-on session with case studies and code.
The agenda for this webinar is:
Anybody who has a basic understanding in programming can attend this session.
Have you ever wondered how self-driving cars are running on roads or how Netflix recommends the movies which you may like or how Amazon recommends you products or how Google search gives you such an accurate results or how speech recognition in your smartphone works or how the world champion was beaten at the game of Go?
Machine learning is behind these innovations. In the recent times, it has been proven that machine learning and deep learning approach to solving a problem gives far better accuracy than other approaches. This has led to a Tsunami in the area of Machine Learning.
The agenda for this webinar is:
As the world enters the new era of Big Data and AI, the processing power of the usual computer has become the bottleneck. Moore's law which stated that computing power will get doubled every 2 years, has already failed in recent times. Quantum computing seems to be the only viable way forward.
While a fully-fledged quantum computer is yet to come, development over the past five years has been fast. Among others, Google recently achieved quantum supremacy via solving a mathematical problem in 200 seconds which the world’s fastest supercomputer would take 10,000 years to produce similar output whereas IBM has put prototype quantum computers on the cloud.
So this is the right time to learn about quantum computing. Hence, we are conducting an online webinar with the leaders of Quantum Computing to give an introduction about it and it's future possibilities.
The agenda for this webinar is:
If we look at the current trend in the market, it is very clear that every company is moving towards artificial intelligence. Every company is looking for problem solvers. Artificial Intelligence is used today in recognizing people (face recognition), detecting a threat, building a robot or making an autonomous car.
Earlier, there used to be people specialized in various fields Audio processing, video processing, Image Processing, etc. Today, all these branches are merging into AI.
The agenda for this webinar is:
DevOps consists of software development practices and tools which aim at better and continuous integration of development and operations part of the software development life cycle to enhance the efficiency.
The agenda for this webinar is:
Have you ever wondered how self-driving cars are running on roads or how Netflix recommends the movies which you may like or how Amazon recommends you products or how Google search gives you such an accurate results or how speech recognition in your smartphone works or how the world champion was beaten at the game of Go?
Machine learning is behind these innovations. In the recent times, it has been proven that machine learning and deep learning approach to solving a problem gives far better accuracy than other approaches. This has led to a Tsunami in the area of Machine Learning.
The agenda for this webinar is:
Have you ever wondered how self-driving cars are running on roads or how Netflix recommends the movies which you may like or how Amazon recommends you products or how Google search gives you such an accurate results or how speech recognition in your smartphone works or how the world champion was beaten at the game of Go?
Machine learning is behind these innovations. In the recent times, it has been proven that machine learning and deep learning approach to solving a problem gives far better accuracy than other approaches. This has led to a Tsunami in the area of Machine Learning.
The agenda for this webinar is:
If we look at the current trend in the market, it is very clear that every company is moving towards artificial intelligence. Every company is looking for problem solvers. Artificial Intelligence is used today in recognizing people (face recognition), detecting a threat, building a robot or making an autonomous car.
Earlier, there used to be people specialized in various fields Audio processing, video processing, Image Processing, etc. Today, all these branches are merging into AI.
The agenda for this webinar is:
If we look at the current trend in the market, it is very clear that every company is moving towards artificial intelligence. Every company is looking for problem solvers. Artificial Intelligence is used today in recognizing people (face recognition), detecting a threat, building a robot or making an autonomous car.
Earlier, there used to be people specialized in various fields Audio processing, video processing, Image Processing, etc. Today, all these branches are merging into AI.
The agenda for this webinar is:
DevOps consists of software development practices and tools which aim at better and continuous integration of development and operations part of the software development life cycle to enhance the efficiency.
The agenda for this webinar is:
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