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:

1. Introduction to Machine Learning
2. Machine Learning - Examples
3. Machine Learning - Applications
4. Demo
5. Q&A

Here's what you'll learn

• 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

Here's what you'll learn

• 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

• You would like to build a robot that can recognize faces or change the path after discovering obstacles on the path.
• Or maybe you would like to unearth hidden gems (like predicting next year revenue or fraudulent transactions or building a recommendation engine etc) in your company's tons of data(logs, financial records, HR reports, or e-commerce transactions reports).

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:

1. Introduction to Machine Learning
2. Machine Learning - Examples
3. Machine Learning - Applications
4. Demo
5. Q&A

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:

1. Introduction to Python
2. Introduction to Data Analysis using Python
3. Data Analysis - Examples /Applications
4. Demo
5. Q&A

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:

1. Introduction to Machine Learning, Deep Learning
2. Applications of Machine Learning
3. How AI can be used in the fields of
   • Marketing,
   • Healthcare,
   • IT Services,
   • Manufacturing and more
4. Q&A

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:

1. Introduction to Python
2. Introduction to Data Analysis using Python
3. Data Analysis - Examples /Applications
4. Demo
5. Q&A

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:

1. Understand what needs to be secure and why?
2. Understanding the buffer overflow Issues
3. Understanding SQL and out input injections
4. System Issues
5. Understand Cross-Site Script - XSS

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:

1. Understand what needs to be secure and why?
2. Understanding the buffer overflow Issues
3. Understanding SQL and out input injections
4. System Issues
5. Understand Cross-Site Script - XSS

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:

1. Introduction to Machine Learning
2. Machine Learning - Examples
3. Machine Learning - Applications
4. Demo
5. Q&A

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:

1. Welcome by CloudxLab
2. Quantum Computing 101 (Understanding the Fundamentals)
3. Use cases of Quantum Computing in Artificial Intelligence, Financial modelling, Logistics, and Drug design
4. Current Hardware Landscape: Challenges and State of the Art
5. Questions-Answers

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:

1. Introduction to Machine Learning, Deep Learning
2. Applications of Machine Learning
3. How AI can be used in the fields of
   • Marketing,
   • Healthcare,
   • IT Services,
   • Manufacturing and more
4. Course on Artificial Intelligence and Machine Learning from IIT Roorkee - Application Procedure
5. Q&A

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:

1. Introduction to DevOps
2. Why DevOps?
3. Dev-Test-Deploy
4. DevOps Principles
5. DevOps Toolchain
6. Overview of DevOps Tools
7. Q&A

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:

1. Introduction to Machine Learning
2. Machine Learning - Examples
3. Machine Learning - Applications
4. Demo
5. Q&A

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:

1. Introduction to Machine Learning
2. Machine Learning - Examples
3. Machine Learning - Applications
4. Hands-on Demo on Machine Learning
5. Q&A

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:

1. Introduction to Machine Learning, Deep Learning
2. Applications of Machine Learning
3. How AI can be used in the fields of
   • Marketing,
   • Healthcare,
   • IT Services,
   • Manufacturing and more
4. Course on Artificial Intelligence and Machine Learning from IIT Roorkee - Application Procedure
5. Q&A

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:

1. Introduction to Machine Learning, Deep Learning
2. Applications of Machine Learning
3. How AI can be used in the fields of
   • Marketing,
   • Healthcare,
   • IT Services,
   • Manufacturing and more
4. Course on Artificial Intelligence and Machine Learning from IIT Roorkee - Application Procedure
5. Q&A

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:

1. Introduction to DevOps
2. Why DevOps?
3. Dev-Test-Deploy
4. DevOps Principles
5. DevOps Toolchain
6. Overview of DevOps Tools

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:

1. Overview of Machine Learning
2. Basics of Deep Learning
3. What is computer vision and its use-cases?
4. Various algorithms used in Computer Vision (mostly CNN)
5. Live hands-on demo of either Auto Cameraman or Face recognition system
6. What next?

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:

1. Overview of Machine Learning
2. Basics of Deep Learning
3. What is computer vision and its use-cases?
4. Various algorithms used in Computer Vision (mostly CNN)
5. Live hands-on demo of either Auto Cameraman or Face recognition system
6. What next?

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:

1. Overview of Machine Learning
2. Basics of Deep Learning
3. What is computer vision and its use-cases?
4. Various algorithms used in Computer Vision (mostly CNN)
5. Live hands-on demo of either Auto Cameraman or Face recognition system
6. What next?

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

  • Approach
  • Difference between Machine Learning approach & Traditional approach
  • Types
  • Identify and understand the various types of Machine Learning problems
  • Basics
  • Learning the process of a typical Machine Learning project
  • Training and testing of ML model
  • Various challenges and the common pitfalls in splitting the data, including many biases involved.
• Representing your data
  • How to represent the data for the consumption of an algorithm
• Overfitting & Underfitting
  • To identify not-learning and too much learning
  • Difference between bias and variance
• Q&A session

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

• Introduction to Deep Learning
• Deep Learning Applications
• Introduction to Artificial Intelligence
• Getting started with TensorFlow
• Hands-on examples on TensorFlow

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:

1. Networking
2. Why AI and How to get Started?
3. Careers in AI - Questions & Discussion

Please register yourselves at https://goo.gl/pH2wbZ

Here's what you'll learn

• 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

Here's what you'll learn

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.

Here's what you'll learn

• 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

Here's what you'll learn

• 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

• Introduction to Deep Learning
• Deep Learning Applications
• Introduction to Artificial Intelligence
• Getting started with TensorFlow
• Hands-on examples on TensorFlow

Here's what you'll learn

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

Here's what you'll learn

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:

• Introduction to Machine Learning and AI
• What is Classification?
• Hands-on example on binary classification using MNIST dataset
• Understanding Stochastic Gradient Descent (SGD) Classifier
• Training a binary classifier using SGD

• Performance measure

  • Cross Validation
  • Confusion Matrix
  • Precision and Recall
  • F1 Score
  • Precision / Recall Tradeoff
  • ROC Curve

This session would broadly cover the following:

• End-to-end Machine Learning project
• This bootcamp is designed to be an entirely hands-on experience for you.

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