The agenda for this webinar is:
The Agenda of the Event:
Check out our Executive PG Certificate Programs By IIT Roorkee here.
DevOps is a set of practices that combines software development and IT operations. It aims to shorten the systems development life cycle and provide continuous delivery with high software quality.
The agenda for this webinar is:
A certificate of participation will be provided for this session.
DevOps is a set of practices that combines software development and IT operations. It aims to shorten the systems development life cycle and provide continuous delivery with high software quality.
The agenda for this webinar is:
A certificate of participation will be provided for this session.
The agenda for this webinar is:
Check out our course on Executive Course on Accelerators for Deep Learning By IIT Roorkee here.
The Certificate of Participation will be provided from CloudxLab to all the attendees.
The Certificate of Participation will be provided from CloudxLab to all the attendees.
The agenda for this webinar is:
Check out our courses on Machine Learning, Deep Learning, AI, DevOps, and more here.
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:
The Certificate of Participation will be provided from CloudxLab to all the attendees.
The event is organized in collaboration with IEEE TCET.
Agenda of the Webinar:
The Certificate of Participation will be provided from CloudxLab to all the attendees.
The event is organized in collaboration with SIIC IIT Kanpur.
In this webinar, we will deep dive into how the new approach is different from the existing approach to entrepreneurship.
In this Hands-On Webinar, we will understand how we could dockerize a flask application based on microservices while deploying a Deep Learning model. Microservices architecture is one of the prominent and agile ways of building applications in the industry.
Further, dockerizing an application is important in order to avoid compatibility issues of the app with various machines.
In this webinar, you will learn the basics of how to dockerize a micro-services-based application. We would create containers for the microservices, and establish communication between these docker containers.
The Certificate of Participation will be provided from CloudxLab to all the attendees.
Check out our courses on Machine Learning, Deep Learning, AI, DevOps, and more here.
In this Hands-On Webinar. We will refactor the entire codebase of the project How to Deploy an Image Classification Model using Flask. That monolithic code will be refactored to form two microservices - the flask service and model service. The model service acts as a server that renders pretrained Tensorflow model as a deep learning API, and keeps listening for any incoming requests. The flask service requests the model service, and displays the response from the model server. This way, we write cleaner code and promote service isolation.
Further, we will introduce an engineering technique, wherein we introduce the concept of asynchrony using ZMQ networking library, in order to reduce deep learning api response time and thus make the app faster in return. By integrating ZMQ with this client-server architecture, we improve the latency of this microservice-based app. Upon completing this project, we would optimize inference time to classify the input image, and make it a low-latency web application, thus making it deployable in real-time production environments.
Blog : Improving the Performance of Deep-Learning based Flask App with ZMQ
This project depends on another project: How to Deploy an Image Classification Model using Flask
The Code YouTube Video
Skills you will develop:
The Certificate of Participation will be provided from CloudxLab to all the attendees.
Check out our courses on Machine Learning and Deep Learning here.
In this Hands-On Webinar. We will start with a comprehensive understanding of how to deploy a deep learning model as a web application using the Flask framework.
Developing a machine learning or deep learning model is very important to solve problems using AI. On the other hand, it is equally important to have a knowledge of how to deploy those amazing problem-solving models into such an interface which enables the users to make use of these solutions. Even many apps we use today, like YouTube, Amazon/Flipkart shopping, FaceApps(which predict our gender or age) make use of machine learning and deep learning, and we are able to interact with them using a web interface. So we need to understand how to integrate the models with a web interface so that the users - be them programmers or non-programmers or any other common users - could easily interact and obtain the solutions from these well-trained and well-performing models.
In this project, we will understand how to develop a web interface using Flask for a pre-trained TensorFlow 2 model built for predicting the class of an input image.
Skills you will develop:
The Certificate of Participation will be provided from CloudxLab to all the attendees.
Check out our courses on Machine Learning and Deep Learning here
In this Hands-On Webinar. We aim to impart the knowledge of how to access the pre-trained models(here we get pre-trained ResNet model) from Keras of TensorFlow 2, and appreciate its powerful classification capacity by making the model predict the class of an input image.
Understanding the pre-trained models is very important because this forms the basis of transfer learning. one of the most appreciated techniques to perform the classification of a different task thus reducing the training time, the number of iterations, and resource consumption. Learning about the pre-trained models and working hands-on with such models is thus very crucial in deep learning, and the same is the aim of this project.
Skills you will develop:
The Certificate of Participation will be provided from CloudxLab to all the attendees.
Check out our courses on Machine Learning and Deep Learning here
In this Hands-On Webinar. You would start by learning how to load a dataset, visualize it, fill in the missing values, create pipelines, handle categorical variables, train models based on that data, and finally predict using that model.
This will not only help you understand how to train a machine learning model, but will also give you a detailed idea of how to clean and prepare data for machine learning, train the model, and fine-tune it in real-life projects.
Skills you will develop:
The Certificate of Participation will be provided from CloudxLab to all the attendees.
Check out our courses on Machine Learning here
Machine Learning usage in the industry is fairly nascent with most practitioners gaining expertise through online courses and working mostly within the confines of a colab. When the same practitioner is tasked with designing and deploying their first ML system, they often make the mistake of focusing entirely on the model development part and their local development environment where training rather than inference is the bottleneck; resulting in culture shock and a steep learning curve getting the model deployed to production
The objective of this webinar is to prepare the practitioner for the inevitable culture shock and minimize the learning curve by instilling production best practices that tech giants adhere to. We will present a detailed overview of the design and architectural choices behind Uber's Michelangelo: The full-stack ML ecosystem empowering hundreds of engineers and analysts to deploy thousands of models daily.
A certificate of participation will be provided for this session.
If we look at the current trend in the market, it is very clear that every company is moving towards adapting Data Science, AI, Machine Learning, or DevOps into their company process. Every company is looking for problem solvers. These technologies today are used to recognize people (face recognition), detecting a threat, building a robot, or making an autonomous car.
The agenda for this webinar is:
The Certificate of Participation will be provided from CloudxLab to all the attendees.
The agenda for this webinar is:
The Certificate of Participation will be provided from CloudxLab to all the attendees.
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?
Data Science, Machine learning, and AI are behind these innovations. In recent times, it has been proven that machine learning and ai approaches to solving a problem give far better accuracy than other approaches.
The agenda for this webinar is:
The Certificate of Participation will be provided from CloudxLab to all the attendees.
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:
The Certificate of Participation will be provided from CloudxLab to all the attendees.
Interviews can be tough and confusing with ever-changing formats. Most top software companies have changed their format of interviews for hiring Machine Learning Engineer positions in the past few years. Tune in with us where we deep dive towards this new format of interviews.
Today, MNCs usually have the following interview rounds:
As part of this discussion, you will learn how to prepare for each of the rounds and experience an Exclusive Mock Interview Session to help build your confidence as you tag along evaluating yourself as we go through it.
The Certificate of Participation will be provided from CloudxLab to all the attendees.
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:
The Certificate of Participation will be provided from CloudxLab to all the attendees.
“Indeed, learning to write may be part of learning to read. For all I know, writing comes out of a superior devotion to reading.” — Eudora Welty
We are delighted to announce CloudxLab’s Data Science Blogathon, a competition to search for our future bloggers!
Through this contest, you will not only get a platform to showcase your knowledge with the world, but you will also get rewarded for the same. We are looking for bloggers with a technological edge, you can write about a wide range of topics as listed below:
How to participate?
Simple! Just follow the below guidelines:
What are the Rewards?
Here is the exciting part!
When will we declare the Winners?
The winners will be announced on April 27th.
Even though you need to submit your article by 11.59 pm (IST) on April 24th, the engagement for your article will count until April 25th, 11.59 pm (IST). So keep sharing your article after it's been published to increase your chances of winning!
So what are you waiting for, start writing and start sharing!
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 efficiency.
The agenda for this webinar is:
A certificate of participation will be provided for this session.
Most top software companies have changed their format of interviews for hiring senior software engineer positions.
In this new format of interviews, the company usually have the following interview rounds:
As part of this discussion, you will learn how to prepare for each of the rounds.
The Certificate of Participation will be provided from CloudxLab to all the attendees.
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:
A certificate of participation will be provided for 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 accurate results or how speech recognition in your smartphone works or how the world champion was beaten at the game of Go?
Data Science, Machine learning, and AI are behind these innovations. In recent times, it has been proven that machine learning and ai approaches to solving a problem give far better accuracy than other approaches.
The agenda for this webinar is:
A certificate of participation will be provided for this session from CloudxLab
Please Note: This is the first and the only free session of our Advanced Certification Courses on Data Science, ML & AI by E&ICT Academy IIT Roorkee
Machine Learning usage in the industry is fairly nascent with most practitioners gaining expertise through online courses and working mostly within the confines of a colab. When the same practitioner is tasked with designing and deploying their first ML system, they often make the mistake of focusing entirely on the model development part and their local development environment where training rather than inference is the bottleneck; resulting in culture shock and a steep learning curve getting the model deployed to production
The objective of this webinar is to prepare the practitioner for the inevitable culture shock and minimize the learning curve by instilling production best practices that tech giants adhere to. We will present a detailed overview of the design and architectural choices behind Uber's Michelangelo: The full-stack ML ecosystem empowering hundreds of engineers and analysts to deploy thousands of models daily.
A certificate of participation will be provided for this session.
The scholarship test will consist of Multiple Choice Questions (MCQs) from Basic Programming and Mathematics.
Top 5 Users will get a 10% discount on the price of the Advanced Certification Courses on Data Science, ML & AI by E&ICT Academy IIT Roorkee
Concepts to be tested:
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?
Data Science, Machine learning, and AI are behind these innovations. In recent times, it has been proven that machine learning and ai approaches to solving a problem give far better accuracy than other approaches.
The agenda for this webinar is:
A certificate of participation will be provided for this session.
Please Note: This is the first and the only free session of our Advanced Certification Courses on Data Science, ML & AI by E&ICT Academy IIT Roorkee
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 who 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:
A certificate of participation will be provided for this session.
The scholarship test will consist of Multiple Choice Questions (MCQs) from Basic Programming and Mathematics.
Top 20 Users will get a 10% discount and Next 10 Users will get a 5% discount on the price of the Advanced Certification Courses on Data Science, ML & AI by E&ICT Academy IIT Roorkee
Concepts to be tested:
The agenda for this webinar is:
REVA University and CloudxLab have launched a 2-year Master of Science in Deep Learning and Artificial Intelligence program. This webinar will be conducted by professors from REVA University and Industry experts who will also be part of the instructor team of this course.
A certificate of participation will be provided for 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 accurate results or how speech recognition in your smartphone works or how the world champion was beaten at the game of Go?
Machine learning and AI are behind these innovations. In recent times, it has been proven that machine learning and ai approaches to solving a problem gives far better accuracy than other approaches.
The agenda for this webinar is:
A certificate of participation will be provided for this session.
If we look at the current trend in the market, it is very clear that every company is moving towards adapting Data Science, AI, Machine Learning, or DevOps into their company process. Every company is looking for problem solvers. These technologies today are used to recognize people (face recognition), detecting a threat, building a robot, or making an autonomous car.
The agenda for this webinar is:
The Certificate of Participation will be provided from CloudxLab to all the attendees.
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 who 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 agenda for this webinar is:
REVA University and CloudxLab have launched a 2-year Master of Science in Deep Learning and Artificial Intelligence program. This webinar will be conducted by professors from REVA University and Industry experts who will also be part of the instructor team of this course.
A certificate of participation will be provided for 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 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 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
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:
Note: Participation Certificate will be given only to webinar attendees.
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