Predstan:


Did my Undergrad in Nigeria(electrical engineering).

Interesting, so how did you go about processing your Masters? Are you benefiting from any form of scholarship? My background is not in engineering or comp sci. Although, I took some comp science courses and calculus in my first three years. What are my chances of getting admission?

Predstan:
Ok so my Masters Thesis... “wireless Control using reinforcement learning”. I think reinforcement learning has not been deployed for teal world applications. This hopefully will be sponsored by Comcast(Internet provider in the US)

Nice exploration. Where did you do your undergraduate studies and which course? I'll like to pursue a master's degree in ML.

olamidedivotee:

I'm still a jambite seeking admission.
Is it okay to focus on IT and apply for Unilag distance learning?
or
Focus on university education for four years + 1 years of service before going into IT world.

please advice me.

I don't know much about the said program but if I were you, I would focus on getting admission (regular) and try to explore the world of IT while studying in school. It doesn't matter the course you choose to study but I'll strongly recommend computer science due to your interest in IT. I understand the flexible nature of DL programs as it affords you the time and space to do many other things while pursuing your degree. However, you might be depriving yourself of the necessary exposure and valuable experience that a regular program would offer.
Conclusively, you do not have to wait till you are done with your BSc and NYSC before you start learning. Now is the right time. Get the necessary resources and start your voyage right away (if you have not started before).

Redpanter11:

Redmi 9c

Thanks boss.

Meister:


I think only the Redmi 9c with 3/64 memory option at 54k is your best bet

Thanks.

Redpanter11:
Best price:

BRAND NEW AND SEALED

Nokia 5.3 6gb 64gb -
#64990

Pay on delivery
Fast Express delivery

Contact on WhatsApp or call 2348127838587 to order..

Boss could you suggest a good phone between 45-55k. Either Nokia or Xiaomi with 3gb RAM. Thanks.

zeemahn:


Great. Its good to have an extra skill so that one can apply for more than 1 type of job. Well done.

Well, people have different things in mind for going into a field. My ultimate goal is not to apply for more than a type of job per se, I plan to utilize my AI and analytics skills for research in my main field. Although, I still work on side gigs.

Between, I'll be glad if you can link me up for internship. Thanks doc.

zeemahn:


Which school? I completed my internship in April. Currently waiting for nysc. I've been learning Data science with my free time.

Good to know sir, I rep Unilorin.

milkytins:
Good day my people, pls I having error in using GRAD-CAM with a fine-tuned VGG16.

First code error:
ValueError: Input 0 of layer dense_1 is incompatible with the layer: expected axis -1 of input shape to have value 64 but received input with shape [None, 14, 14, 512]

Second code error:
ValueError: `decode_predictions` expects a batch of predictions (i.e. a 2D array of shape (samples, 1000)). Found array with shape: (1, 3)

I will appreciate your help and contribution.
Whatsapp contact if there is need for me to share my code: 08068998735

Thank you.

Providing more codes might help in getting to the root of these errors. Although I have not used Grad-cam before but the errors you are getting already point to where the problem is.

Firstly, the error says your input isn't compatible with the first dense layer of VGG16, so you should look at your preprocessing pipeline (if you have any in your code, perhaps the size). In other words, your input image is not compatible with the model.

Secondly, Grad-cam needs to decode the top three predictions from the output of the model but since the input image is not compatible, you are getting the second error. Intuitively, solving the first error should address the second one.

Enceladus:


Nah. I currently work as a software dev (for the money anyways).

Okay! Well done Baba.

Enceladus:


No I don't have a fiverr account. And minus that self I am currently tied to deliver a project at work, so I am not really available currently. Really sorry.

Alright. You work as a data scientist?

zeefa:
Hello is anyone out there who is good with python programming and has a laptop and stable internet connection please kindly contact me.
I have several works( assignments) from mostly students here in the U.S.

Drop your numbers I'll contact you via whatsapp .

We are not here for jokes please, if you are up to the task and you are sure of killing it, then drop your number.

regards

Pythonista here
Telegram handle is @ibromodzi
Not that active on WhatsApp.

Enceladus:


Very soon bro. I've been busy with work lately. But I can tell you I am currently working on the contra Nintendo emulator on my pc to work perfectly with reinforcement learning. Once I am done, training will begin and I will duly update the thread or make a new one.

Good morning bro. Do you have a fiverr account and can you handle an NLP project that requires web development experience. A potential client is currently discussing with me but my hands are tied to some other projects right now. Let me know if you are interested so that I can refer him to you before I decline the offer.

olamidedivotee:

what software should i download?

Download Anaconda package, it comes with an interactive IDE (Jupyter notebook) that makes learning easy. For learning materials, download "automate the boring stuff" online or you drop your email so that I can send it to you. Also watch YouTube videos (search for Bucky Roberts or Mosh Hamedani) and try to practice along as you watch.

Once you are done with the basics, get your hands dirty with codes and then proceed to the next stage in your learning path.

Try to ask for directions if anything is not clear. Happy learning!

Predstan:



American... 2x RTx 3090 GPU

Not surprised. We are not that committed to research in this part of the world.

Predstan:
So my professor just got this 12k$ PC for research in AI... 32 cores 3.7GHz

Nice one. He should get a GPU along with it.


Is he a Nigerian? I'll like to work with academics in the field of AI. I've got some papers I'm working on. My background is not in CS though.

olamidedivotee:
predstan
ibromodz

I just got a laptop, where do I Start from?

Congratulations! You can follow this learning path

1. Learn the basics of Python (the lingua franca of AI).
2. Basics of inferential and descriptive statistics.
3. Exploratory analysis /data preparation
4. Introduction to Machine learning (use Andrew Ng's videos if you really want to go deep)
5. Advanced machine learning (deep learning).
6. Natural Language Processing & Computer Vision.
7. Practice......................... Use Kaggle and Zindi and don't forget to share what you know with people.

Abcruz:


I beg to differ. People acquire knowledge in different ways either in books, video tutorials or both. It's all about identifying the best method that suits you. I learnt the basics of Python from YouTube and not from books.

A good practically oriented video tutorial is more than enough to get one started in building projects. If you intend knowing all and all about data science by reading books upon books, 10 years from now you'll be amazed to see how much you still need to know cos it's an endless journey.

Quote me anywhere there's no professional programmer that has all it takes and codes without looking up solutions to errors.

The most important thing about data science and programming in general is your projects and portfolios not how much you know cos even those at google knows they're still learning.

He's actually saying nothing but the truth. Plain truth. Videos only give a false sense of understanding and you think you are making progress. Following video tutorials to replicate what the tutor is doing is not the same as building solid projects. If you really want to master a concept in data science (or any field), read books, docs, research paper and combine them with videos, people's codes, medium articles etc.

Well, as someone rightly pointed out, we are into DA for different reasons. Some need job, some just do it for fun while some people are using it for research. Whatever method you use to study, as long as it works for you then you are good to go. However, no one can go deep in any concept by just watching videos.

As far as I'm concerned, I study using multiple sources and resources and that works well for me.

olamidedivotee:

Thank you but what is your telegram id

@Ibromodzi

Najdorf:

ML is a branch of AI.

Can you back it up with facts?

Enceladus:

Okay cool...



Once you are sure you've avoided the occurrence of runtime errors with proper code, most of the time the remaining errors will be out of your control, and one they show you'll have to continue from the last saved checkpoint.

Nice. I'll like to check the VM out one of these days.

Semtu:


Yeah, i get your point of view. But to the layman, there should be no harm in referring to it as a branch of AI

I agree with you.

Semtu:


I looked through some of your posts on nairaland, your journey to NLP has been really amazing.

Thanks bro.

Enceladus:


The vm is paid, but I used a bit of an hack to minimize the price to something around N600 for the whole 26 hours. And no my PC was mostly off during the training but I occasionally login to the vm to check training progress.

So what happens if my code throws errors?

Enceladus:


I mostly read through their readme file and documentation on github. Here is also a good article. Arabic text really? How do you deal with it's Semitic nature?

Very easy to work with once you understand the language. The major work lies in the text preprocessing.

shuddyy:
Massive interesting stuffs I have read here. It has further motivated to learn more on ML and AI.
I'm an enthusiast just getting to learn the basics. My interest encouraged me to take a research project on NLP. I hope to learn in the process and build my knowledge of AI and ML therefrom.

Please if you are available to handle this project for a fee i will be glad you contact me.
Its a project on NLP.

Development of a Machine Learning Model for Multi-labeled Toxic Comment Classification.

I'm expected to develop a Machine Learning model based on LSTM.

The model would be used to classify the kaggle Toxic Comment dataset and compare the result of the classification with the results in some literature that would have reviewed in chapter two.


Cmparison will be based on some selected performance metrics eg

Accuracy
Sensitivity or recall
Specificity
F-Measure

My email: aashuddyy@gmail.com
07032320992

Hi! Let's work on this together. Just sent you a mail.

olamidedivotee:


I'm very interested in AI. I'm through with Python basic. I want to choose AI.
I need someone like mentor.

Here is a comprehensive learning path for you. If you there's anything you are not clear about, you can chat me up via Telegram.

Semtu:


If you are well grounded in python and want to go into AI, I suggest you start off from Machine Learning. To me, it's the easiest branch of AI to work with. Help yourself to Jose Portilla Udemy Couse on "Python for Machine Learning"

ML ain't a branch of ML though. It is just a way to realize AI.

Abcruz:
Concerning General Intelligent AI, a prototype called "Baby X" has already been developed by soulmachine. So far, it can learn from it's environment with the aid of the camera and can respond to simple questions just like a normal human baby. The baby moves his body autonomously. This is only the beginning.

Interesting!
I'm reading about Baby X for the first time here. I'll surely read more about it. However, as a quibble, the fact that it learns from its environment suggests it uses some sort of reinforcement learning (RL)principles and RL is not new in the realm of AI.

Nevertheless, it is good to see that the AI community is still enthusiastic about the development of AGI, given the huge amount of resources being dedicated to the endeavor.

Abcruz:



You're totally correct about the skepticism regarding the adoption of AI in medicine. Some doctors are strongly against it because of the threat of losing their professional relevance through automation. On the other hand, people are scared of entrusting their health challenges in the hands of a machine who has no empathy or emotion and probably designed and deployed by someone who isn't medically grounded to recognize misdiagnosis of the system.

Nonetheless, medicine is a very complicated field of endeavor that cannot be practiced without the human touch. It will be in the best interest of both doctors and patients if AI is designed to automate routine clinical practices while the doctors focus more on care based medicine.

Well said. Handling of routine clinical practices by intelligent machines will greatly reduce heavy reliance of many patients on a single doctor (talk of patient doctor ratio) most especially in countries like Nigeria.