All The Free ML/AI Courses Launched At Google I/O

At Google I/O, the global tech giant announced a bunch of free courses to help budding developers explore the potential of machine learning and artificial intelligence technology across various open-source frameworks and platforms like TensorFlow.js, TensorFlow Lite, Vertex.AI etc.

Register for AWS ML Fridays and learn how to make a career in data science.

Register for Free Hands-On Workshop: oneAPI AI Analytics Toolkit

We have made a list of all the machine learning and artificial intelligence courses announced at Google I/O.

1| Get started with comment-spam detection

It is an excellent course for beginners, especially if you want to solve the spam issue. It will introduce you to TensorFlow.js and machine learning and help you build a comment-spam detection system using TensorFlow.js.

Click here to watch the video.

2| Get started with mobile text classification

Here, you will learn the concepts behind machine learning and identify spam using text classification ML. Besides this, you will also learn how to:

• Build a basic messaging-style app 
• Build a comment-spam machine learning model 
• Get started with text classification – Part Two
• Update your app to use a spam-filtering machine learning model 
• Go further with text classification
• Create a custom text-classification model with TensorFlow Lite Model Maker

Click here to watch the video.

3| Get started with image classification

In this tutorial, you will get to build your first computer-vision app on Android or iOS and find out how an image classifier capable of recognising hundreds of different types of images is created. Build your first computer-vision app on Android or iOS.

Click here to watch the video.

4| Get started with object detection

In this course, you will learn about object detection and how it differs from other image-recognition tasks, such as image classification. It will provide you with learning essentials that will help you build an object detector into your mobile app and integrate an object detector using ML kit object detection API.

Click here to watch the video.

5| Get started with audio classification

Here, you will learn how to use machine learning for Audio Classification, add audio classification to your mobile app and create a basic app for audio classification.

Click here to learn more.

[For intermediate]

6| Go further with audio classification

Here, you will learn how to customise an audio classification model, particularly a pre-trained audio classification model to detect bird sounds.

7| Go further with object detection

In this tutorial, you will get to train an object-detection model using your dataset and deploy it to a mobile application using TensorFlow Lite.

Click here to watch the video.

8| Go further with image classification 

Learn how to build a custom model for image classification using TensorFlow Lite Model Maker and integrate it into an app as a custom ML Kit Model.

Click here to watch the video.

9| Go further with comment spam detection

In this tutorial, you will learn how to retrain your comment spam classification model to account for instances it does not classify correctly using TensorFlow.js.

Click here to watch the video.

10| Go further with product image search

You will learn how to build and call a product search backend from the mobile app using Vision API Product Search.

Click here to watch the video.

[Advanced]

11| Building trusted AI products

Using this coding exercise, you will get to build trusted AI products with the PAIR (People + AI Research) guidebook.

Besides learning to build trustworthy, user-centred AI products using PAIR Guidebook, you will also learn:

• What’s new in the PAIR Guidebook’s second edition.
• Go through a series of exercises that highlight opportunities in the AI development process to calibrate user trust, with a focus on data and user-facing explainability.
• Get an introduction to a broader toolkit of materials and resources available for further exploration.

12| Build and deploy a custom object detection model with TensorFlow Lite (Android)

Written by Khanh LeViet, a TensorFlow evangelist at Google, this course will help you train a custom object detection model using a set of training images with TFLite Model Maker, and deploy the model using TFLite Task Library.

#opinions #google ai/ml courses #google i/o #learn machine learning

What is GEEK

Buddha Community

IIT Patna Launches PG Certification Programmes In AI/ML, Big Data & Cybersecurity

Indian Institute of Technology, Patna (IIT Patna) has collaborated with WileyNXT, to announce post-graduate certification programmes in three key fields — Cybersecurity and Blockchain; AI & Machine Learning; and Big Data Engineering.

Being a globally recognised centre of Computer Education with world-class research output, IIT Patna’s courses with WileyNXT will build students’ competencies in new emerging fields to grow their careers further. The courses are specifically designed for final year students and early-stage professionals who aim to develop a career in the respective fields.

According to the official release, Post the successful completion of the programme, the participants will get a joint certificate from WileyNXT and IIT Patna.

When asked about this collaboration, Vikas Gupta, the Managing Director of Wiley India, stated his excitement in offering these cutting-edge programmes in partnership with IIT Patna.

#news #ai and ml courses #big data engineering courses #blockchain courses #cybersecurity courses #iit patna #iit patna collaborates with wilexnxt #iit patna cybersecurity pg certification program #iit patna launches pg certification in ai and ml #iit patna launches pg certification in big data #iit patna partners with wileynxt #wiley india

All The Free ML/AI Courses Launched At Google I/O

At Google I/O, the global tech giant announced a bunch of free courses to help budding developers explore the potential of machine learning and artificial intelligence technology across various open-source frameworks and platforms like TensorFlow.js, TensorFlow Lite, Vertex.AI etc.

Register for AWS ML Fridays and learn how to make a career in data science.

Register for Free Hands-On Workshop: oneAPI AI Analytics Toolkit

We have made a list of all the machine learning and artificial intelligence courses announced at Google I/O.

1| Get started with comment-spam detection

It is an excellent course for beginners, especially if you want to solve the spam issue. It will introduce you to TensorFlow.js and machine learning and help you build a comment-spam detection system using TensorFlow.js.

Click here to watch the video.

2| Get started with mobile text classification

Here, you will learn the concepts behind machine learning and identify spam using text classification ML. Besides this, you will also learn how to:

• Build a basic messaging-style app 
• Build a comment-spam machine learning model 
• Get started with text classification – Part Two
• Update your app to use a spam-filtering machine learning model 
• Go further with text classification
• Create a custom text-classification model with TensorFlow Lite Model Maker

Click here to watch the video.

3| Get started with image classification

In this tutorial, you will get to build your first computer-vision app on Android or iOS and find out how an image classifier capable of recognising hundreds of different types of images is created. Build your first computer-vision app on Android or iOS.

Click here to watch the video.

4| Get started with object detection

In this course, you will learn about object detection and how it differs from other image-recognition tasks, such as image classification. It will provide you with learning essentials that will help you build an object detector into your mobile app and integrate an object detector using ML kit object detection API.

Click here to watch the video.

5| Get started with audio classification

Here, you will learn how to use machine learning for Audio Classification, add audio classification to your mobile app and create a basic app for audio classification.

Click here to learn more.

[For intermediate]

6| Go further with audio classification

Here, you will learn how to customise an audio classification model, particularly a pre-trained audio classification model to detect bird sounds.

7| Go further with object detection

In this tutorial, you will get to train an object-detection model using your dataset and deploy it to a mobile application using TensorFlow Lite.

Click here to watch the video.

8| Go further with image classification 

Learn how to build a custom model for image classification using TensorFlow Lite Model Maker and integrate it into an app as a custom ML Kit Model.

Click here to watch the video.

9| Go further with comment spam detection

In this tutorial, you will learn how to retrain your comment spam classification model to account for instances it does not classify correctly using TensorFlow.js.

Click here to watch the video.

10| Go further with product image search

You will learn how to build and call a product search backend from the mobile app using Vision API Product Search.

Click here to watch the video.

[Advanced]

11| Building trusted AI products

Using this coding exercise, you will get to build trusted AI products with the PAIR (People + AI Research) guidebook.

Besides learning to build trustworthy, user-centred AI products using PAIR Guidebook, you will also learn:

• What’s new in the PAIR Guidebook’s second edition.
• Go through a series of exercises that highlight opportunities in the AI development process to calibrate user trust, with a focus on data and user-facing explainability.
• Get an introduction to a broader toolkit of materials and resources available for further exploration.

12| Build and deploy a custom object detection model with TensorFlow Lite (Android)

Written by Khanh LeViet, a TensorFlow evangelist at Google, this course will help you train a custom object detection model using a set of training images with TFLite Model Maker, and deploy the model using TFLite Task Library.

#opinions #google ai/ml courses #google i/o #learn machine learning

Top Three Benefits of Google AdWords

Benefits of Google AdWords
1. Adwords works more rapid than SEO:
Google AdWords’s top advantage is that it works better than SEO. Both SEO and Google AdWords are marketing strategies for search engines to create more traffic and leads. But for a company to get the much-coveted first spot in google, a well-optimized AdWords campaign can work much quicker.
Here are some reasons why it’s quicker and more useful

• You can concentrate on numerous keywords at a time.
• You can turn the campaign on or off whenever you like to.
• Ads that appear on the top of the page obtain instantaneous visibility.
  This does not mean that, since they have more long-term benefits, you can disregard organic sources. Yet there is a greater chance of moving more traffic with AdWords, and it leads immediately. In addition, the site is more straightforward, and you understand exactly what was going on with the advertising.
  Search engine optimization, on the other hand, is a long-term operation, though very helpful. A lot of perseverance and a lot of well-written posts, and plugins are needed to rank for any keywords. And even then, obtaining the requisite authority takes a while for them.

2. Increase brand awareness:
   Google AdWords is also an effective way to inform users about your product, in addition to improving traffic, clicks, and conversions. Google collaborated with Ipsos to conduct studies through 12 verticals, right from vehicles to retail, to check it. Search ads have been shown to increase top-of-mind awareness by an average of 6.6 percent.
   Your ranking also relies on the number of searches for your branded product and its variants when it comes to SEO. That’s another reason why through the quest, and also display advertising, you can try to increase brand awareness.
3. Reach more customers through their Gmail Inbox :
   Email marketing is one of the most used marketing techniques in any company, which is why Gmail advertising can also be beneficial. Google merged native Gmail ads with Google AdWords in September 2015 and made it open to all advertisers. That means that you’re using their email inbox to reach more potential.
   Gmail ads usually appear on the promotional page, but you can also see them on the social tab occasionally. Both desktop computers and mobile phones operate these commercials. Since Gmail ads usually cost far less than search ads, you can also try Gmail ads if you have a limited budget.
   Google Ads Online Course is very useful to work in SEO and also promote your brand. FITA is the best provider of Google Adwords Online Course with advanced techniques.

#google adwords online course #google ads online course #google adwords certification course online #google adwords online training #online google ads course

Google's TPU's being primed for the Quantum Jump

The liquid-cooled Tensor Processing Units, built to slot into server racks, can deliver up to 100 petaflops of compute.

The liquid-cooled Tensor Processing Units, built to slot into server racks, can deliver up to 100 petaflops of compute.

As the world is gearing towards more automation and AI, the need for quantum computing has also grown exponentially. Quantum computing lies at the intersection of quantum physics and high-end computer technology, and in more than one way, hold the key to our AI-driven future.

Quantum computing requires state-of-the-art tools to perform high-end computing. This is where TPUs come in handy. TPUs or Tensor Processing Units are custom-built ASICs (Application Specific Integrated Circuits) to execute machine learning tasks efficiently. TPUs are specific hardware developed by Google for neural network machine learning, specially customised to Google’s Machine Learning software, Tensorflow.

The liquid-cooled Tensor Processing units, built to slot into server racks, can deliver up to 100 petaflops of compute. It powers Google products like Google Search, Gmail, Google Photos and Google Cloud AI APIs.

#opinions #alphabet #asics #floq #google #google alphabet #google quantum computing #google tensorflow #google tensorflow quantum #google tpu #google tpus #machine learning #quantum computer #quantum computing #quantum computing programming #quantum leap #sandbox #secret development #tensorflow #tpu #tpus

IIT-Delhi Establishes School of AI To Offer PhD and PG Degrees

The Indian Institute of Technology (IIT) Delhi today announced that the institute has established an independent School of Artificial Intelligence (ScAI) on its campus. The AI school will commence its PhD program from the next admission cycle, i.e. January 2021. The Tier-I institute is also planning to offer postgraduate (PG) degree courses.

According to sources, some of the key objectives of the ScAI includes-

• To bring together the more than fifty IIT Delhi faculty members individually invested in various aspects of the field. With this, ScAI expects to act as a force multiplier for overall research productivity.
• To provide external branding to IIT Delhi in this field of immense importance. A cohesive group in AI will allow focused hiring of faculty members and students to increase global visibility. It will become a one-stop centre for industry or government interested in collaborating or funding AI innovations.

#news #ai pg courses #iit delhi #iit delhi ai courses #iit delhi courses #iit delhi phd courses #phd in ai #school of ai #school of artificial intelligence