Michael Bryan

Michael Bryan

1565947618

5 TensorFlow and ML Courses for Programmers

TensorFlow is a Python-friendly open source library for numerical computation that makes machine learning faster and easier

Machine learning is a complex discipline. But implementing machine learning models is far less daunting and difficult than it used to be, thanks to machine learning frameworks—such as Google’s TensorFlow—that ease the process of acquiring data, training models, serving predictions, and refining future results.

Created by the Google Brain team, TensorFlow is an open source library for numerical computation and large-scale machine learning. TensorFlow bundles together a slew of machine learning and deep learning (aka neural networking) models and algorithms and makes them useful by way of a common metaphor. It uses Python to provide a convenient front-end API for building applications with the framework, while executing those applications in high-performance C++.

One of my goals in 2018 is to explore Machine Learning and Data Science and that’s why I am learning Python as well. You might have seen a couple of python posts like best courses to learn Python in this blog, which I have been using to learn Python this year.

Python has a lot of very useful and popular Machine Learning APIs, e.g. TensorFlow, NumPy, Pandas, Sci-Kit, etc., but I am mostly focusing on TensorFlow at this moment because of an obvious reason: it’s supported by Google.

In this article, I am going to share about some of the best online courses to learn TensorFlow and Machine Learning for programmers.

Top 5 TensorFlow and Machine Learning Courses

All these courses not only teach theoretical knowledge but also practical stuff which you need to gain some hands-on experience.

1. Complete Guide to TensorFlow for Deep Learning with Python

This is image title

This is probably the most popular TensorFlow course on Udemy, This course is taught by Jose Portilla with more than 71,252 students enrolled and thousands of 4.5 rating. It covers most of the things about TensorFlow and you can take it even if you are new to Machine Learning.

The first couple of chapters will explain Machine Learning and how TensorFlow can solve real-world problems through its neural networks.

In this course, you will learn about how Neural Networks work and how you can use TensorFlow for classification and regression tasks, e.g. image classification with Convolutional Neural Networks.

You will also learn about how to build your own Neural Network from scratch using Python and perform time series analysis with Recurrent Neural Networks. Overall, it is a great course to learn the basics of TensorFlow with Python.

2. Deep Learning with TensorFlow 2.0

This is image title

This is another great course to learn TensorFlow on Udemy. If you are a first-timer, this is probably the best course because it will generate your interest in the complex but exciting world of Data Science, Machine Learning, and Deep learning.

The course starts with basics but runs really deep. It’s great for Python developers as the course focuses on TenosorFlow with Python. It also teaches you NumPy, which is another popular Machine Learning API.

The best part of this course is that you will create your own Machine Learning algorithm after learning the basics of TensorFlow and Machine Learning.

It’s business-focused, which means you will learn Machine Learning with real-world scenarios, e.g. how to use Machine Learning to optimize business performance, retain customers, improve conversions, etc, all by leveraging the real data acquired by real companies.

3. TensorFlow: Getting Started

This is image title

This is another great course on Pluralsight . This course is taught by Jerry Kurata - This course shows you how to install and use TensorFlow, a leading machine learning library from Google. You’ll see how TensorFlow can create a range of machine learning models, from simple linear regression to complex deep neural networks.

4. Complete Tensorflow 2 and Keras Deep Learning Bootcamp

This is image title

This course will guide you through how to use Google’s latest TensorFlow 2 framework to create artificial neural networks for deep learning! This course aims to give you an easy to understand guide to the complexities of Google’s TensorFlow 2 framework in a way that is easy to understand.

This course will focus on understanding the latest updates to TensorFlow and leveraging the Keras API (TensorFlow 2.0’s official API) to quickly and easily build models. In this course we will build models to forecast future price homes, classify medical images, predict future sales data, generate complete new text artificially and much more!

5. A beginners guide for building neural networks in tensorflow

This is image title
This is a really short course that will teach you neural networks and TensorFlow in less than 3 hours. It’s kind of a crash course on TensorFlow and Neural networks.

You will start from scratch by learning the basic syntax of TensorFlow, Google’s Machine Learning framework, and later build a neural network in Python code.

The best part of this course is that it also explains how you can train and test your neural network, the most interesting part of doing any Deep Learning project.

Conclusion

That’s all about some of the best online courses to learn TensorFlow and Machine Learning using Python. TensorFlow is a very powerful Machine Learning API that has several real-world usages. For example, you can use it to detect images like you can take pictures of number plates and then guess the number and find car owner details from the registration database. Speed cameras in the highway can have this program installed to detect and send notice to speeding car owners before they reach home. If you need more general courses, you can also check out my earlier post about deep learning courses.

#tensorflow #machine-learning #deep-learning #python

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5 TensorFlow and ML Courses for Programmers
Ian  Robinson

Ian Robinson

1622463900

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

5 Steps to Passing the TensorFlow Developer Certificate

Deep Learning is one of the most in demand skills on the market and TensorFlow is the most popular DL Framework. One of the best ways in my opinion to show that you are comfortable with DL fundaments is taking this TensorFlow Developer Certificate. I completed mine last week and now I am giving tips to those who want to validate your DL skills and I hope you love Memes!

  1. Do the DeepLearning.AI TensorFlow Developer Professional Certificate Course on Coursera Laurence Moroney and by Andrew Ng.

2. Do the course questions in parallel in PyCharm.

#tensorflow #steps to passing the tensorflow developer certificate #tensorflow developer certificate #certificate #5 steps to passing the tensorflow developer certificate #passing

Ethen Ellen

1619519725

Immediate $olution to Fix AOL Blerk Error Code 5 with easy instructions

This is image title

AOL Email is one of the leading web email services. It has a number of features who access easily at any place. Through this, you can easily share messages, documents or files, etc.AOL Blerk Error is not a big issue. It is a temporary error and it occurs when there is an issue in loading messages from the AOL server. If your mind is stuck, How to Resolve or Fix AOL Blerk Error Code 5? Here, In this article, we mentioned troubleshooting steps to fix AOL Blerk Error Code 5.

What are the causes of AOL Blerk Error Code 5?

AOL mail usually presents an AOL Blerk Error 5 after the AOL connection details have been entered. meaning. Your password and your username. This error is usually found in words! Or 'BLERK! Error 5 Authentication problem, 'Your sign-in has been received.

Some of the reasons for the error are as follows:
• Internet browser configuration problem

• Saved erroneous bookmark addresses

• browser cache or cookie

• An AOL Desktop Gold technical error.
How to Fix AOL Mail Blerk Error 5 in a Simple Way

This type of error is mostly due to your browser settings or the use of outdated, obsolete software. Users should remember that the steps to solve problems vary, depending on the browser you are using. Here are the steps to fix the mistake, check your browser and follow the steps.

Internet Explorer: Make sure you use the most recent web browser version. Open a new window and follow the “Tools> Web Options> Security> Internet Zone” thread. Activate ‘Safeguard Mode’ and follow the steps to include AOL Mail in the list of assured websites. Start the browser again to save changes and run Internet Explorer without additional information.
Firefox Mozilla: Open a new Firefox window and press Menu. To start the browser in safe mode, disable the add-on and choose the option to restart Firefox. You can see two options in the dialog box. Use the “Start in Safe Mode” option to disable all themes and extensions. The browser also turns off the hardware speed and resets the toolbar. You should be able to execute AOL mail when this happens.

Google Chrome: Update to the latest version of Chrome. Open the browser and go to the Advanced Options section. Go to ‘Security and Privacy’ and close the appropriate add-ons. Once the browsing history is deleted, the password, cookies saved and the cache will be cleared. Restart your system and try to log in to your AOL account with a new window.

Safari: Some pop-up windows block AOL mail when it comes to Safari and causes authentication issues. To fix the error, use Safari Security Preferences to enable the pop-up window and disable the security warning.

If you see, even when you change the required browser settings, the black error will not disappear, you can consult a skilled professional and see all the AOL email customer support numbers.

Get Connect to Fix Blerk Error Even After Clearing Cache & Cookies?
Somehow you can contact AOL technical support directly and get immediate help if you still get the error. Call +1(888)857-5157 to receive assistance from the AOL technical support team.

Source: https://email-expert247.blogspot.com/2021/04/immediate-olution-to-fix-aol-blerk.html “How to Resolve or Fix AOL Blerk Error Code 5”)**? Here, In this article, we mentioned troubleshooting steps to fix AOL Blerk Error Code 5.

What are the causes of AOL Blerk Error Code 5?

AOL mail usually presents an AOL Blerk Error 5 after the AOL connection details have been entered. meaning. Your password and your username. This error is usually found in words! Or 'BLERK! Error 5 Authentication problem, 'Your sign-in has been received.

Some of the reasons for the error are as follows:
• Internet browser configuration problem

• Saved erroneous bookmark addresses

• browser cache or cookie

• An AOL Desktop Gold technical error.
How to Fix AOL Mail Blerk Error 5 in a Simple Way

This type of error is mostly due to your browser settings or the use of outdated, obsolete software. Users should remember that the steps to solve problems vary, depending on the browser you are using. Here are the steps to fix the mistake, check your browser and follow the steps.

  1. Internet Explorer: Make sure you use the most recent web browser version. Open a new window and follow the “Tools> Web Options> Security> Internet Zone” thread. Activate ‘Safeguard Mode’ and follow the steps to include AOL Mail in the list of assured websites. Start the browser again to save changes and run Internet Explorer without additional information.

  2. Firefox Mozilla: Open a new Firefox window and press Menu. To start the browser in safe mode, disable the add-on and choose the option to restart Firefox. You can see two options in the dialog box. Use the “Start in Safe Mode” option to disable all themes and extensions. The browser also turns off the hardware speed and resets the toolbar. You should be able to execute AOL mail when this happens.

  3. Google Chrome: Update to the latest version of Chrome. Open the browser and go to the Advanced Options section. Go to ‘Security and Privacy’ and close the appropriate add-ons. Once the browsing history is deleted, the password, cookies saved and the cache will be cleared. Restart your system and try to log in to your AOL account with a new window.

  4. Safari: Some pop-up windows block AOL mail when it comes to Safari and causes authentication issues. To fix the error, use Safari Security Preferences to enable the pop-up window and disable the security warning.

If you see, even when you change the required browser settings, the black error will not disappear, you can consult a skilled professional and see all the AOL email customer support numbers.

Get Connect to Fix Blerk Error Even After Clearing Cache & Cookies?

Somehow you can contact AOL technical support directly and get immediate help if you still get the error. Call +1(888)857-5157 to receive assistance from the AOL technical support team.

Source: https://email-expert247.blogspot.com/2021/04/immediate-olution-to-fix-aol-blerk.html

#aol blerk error code 5 #aol blerk error 5 #aol mail blerk error code 5 #aol mail blerk error 5 #aol error code 5 #aol error 5

Michael Bryan

Michael Bryan

1565947618

5 TensorFlow and ML Courses for Programmers

TensorFlow is a Python-friendly open source library for numerical computation that makes machine learning faster and easier

Machine learning is a complex discipline. But implementing machine learning models is far less daunting and difficult than it used to be, thanks to machine learning frameworks—such as Google’s TensorFlow—that ease the process of acquiring data, training models, serving predictions, and refining future results.

Created by the Google Brain team, TensorFlow is an open source library for numerical computation and large-scale machine learning. TensorFlow bundles together a slew of machine learning and deep learning (aka neural networking) models and algorithms and makes them useful by way of a common metaphor. It uses Python to provide a convenient front-end API for building applications with the framework, while executing those applications in high-performance C++.

One of my goals in 2018 is to explore Machine Learning and Data Science and that’s why I am learning Python as well. You might have seen a couple of python posts like best courses to learn Python in this blog, which I have been using to learn Python this year.

Python has a lot of very useful and popular Machine Learning APIs, e.g. TensorFlow, NumPy, Pandas, Sci-Kit, etc., but I am mostly focusing on TensorFlow at this moment because of an obvious reason: it’s supported by Google.

In this article, I am going to share about some of the best online courses to learn TensorFlow and Machine Learning for programmers.

Top 5 TensorFlow and Machine Learning Courses

All these courses not only teach theoretical knowledge but also practical stuff which you need to gain some hands-on experience.

1. Complete Guide to TensorFlow for Deep Learning with Python

This is image title

This is probably the most popular TensorFlow course on Udemy, This course is taught by Jose Portilla with more than 71,252 students enrolled and thousands of 4.5 rating. It covers most of the things about TensorFlow and you can take it even if you are new to Machine Learning.

The first couple of chapters will explain Machine Learning and how TensorFlow can solve real-world problems through its neural networks.

In this course, you will learn about how Neural Networks work and how you can use TensorFlow for classification and regression tasks, e.g. image classification with Convolutional Neural Networks.

You will also learn about how to build your own Neural Network from scratch using Python and perform time series analysis with Recurrent Neural Networks. Overall, it is a great course to learn the basics of TensorFlow with Python.

2. Deep Learning with TensorFlow 2.0

This is image title

This is another great course to learn TensorFlow on Udemy. If you are a first-timer, this is probably the best course because it will generate your interest in the complex but exciting world of Data Science, Machine Learning, and Deep learning.

The course starts with basics but runs really deep. It’s great for Python developers as the course focuses on TenosorFlow with Python. It also teaches you NumPy, which is another popular Machine Learning API.

The best part of this course is that you will create your own Machine Learning algorithm after learning the basics of TensorFlow and Machine Learning.

It’s business-focused, which means you will learn Machine Learning with real-world scenarios, e.g. how to use Machine Learning to optimize business performance, retain customers, improve conversions, etc, all by leveraging the real data acquired by real companies.

3. TensorFlow: Getting Started

This is image title

This is another great course on Pluralsight . This course is taught by Jerry Kurata - This course shows you how to install and use TensorFlow, a leading machine learning library from Google. You’ll see how TensorFlow can create a range of machine learning models, from simple linear regression to complex deep neural networks.

4. Complete Tensorflow 2 and Keras Deep Learning Bootcamp

This is image title

This course will guide you through how to use Google’s latest TensorFlow 2 framework to create artificial neural networks for deep learning! This course aims to give you an easy to understand guide to the complexities of Google’s TensorFlow 2 framework in a way that is easy to understand.

This course will focus on understanding the latest updates to TensorFlow and leveraging the Keras API (TensorFlow 2.0’s official API) to quickly and easily build models. In this course we will build models to forecast future price homes, classify medical images, predict future sales data, generate complete new text artificially and much more!

5. A beginners guide for building neural networks in tensorflow

This is image title
This is a really short course that will teach you neural networks and TensorFlow in less than 3 hours. It’s kind of a crash course on TensorFlow and Neural networks.

You will start from scratch by learning the basic syntax of TensorFlow, Google’s Machine Learning framework, and later build a neural network in Python code.

The best part of this course is that it also explains how you can train and test your neural network, the most interesting part of doing any Deep Learning project.

Conclusion

That’s all about some of the best online courses to learn TensorFlow and Machine Learning using Python. TensorFlow is a very powerful Machine Learning API that has several real-world usages. For example, you can use it to detect images like you can take pictures of number plates and then guess the number and find car owner details from the registration database. Speed cameras in the highway can have this program installed to detect and send notice to speeding car owners before they reach home. If you need more general courses, you can also check out my earlier post about deep learning courses.

#tensorflow #machine-learning #deep-learning #python

Techtutorials | Online IT Courses, Training, Syllabus

Techtutorials tell you the best online IT courses/training, tutorials, certification courses, and syllabus from beginners to advanced level on the latest technologies recommended by Programming Community through video-based, book, free, paid, Real-time Experience, etc.

#techtutorials #online it courses #mobile app development courses #web development courses #online courses for beginners #advanced online courses