Training is to find the parameters in the function with a large scale data and computing resources. Inference is to apply the function we have already made clear to simple environment and smaller platform.

DUDE...inference is the process of using an AI model to analyze new data and make predictions. You just going round and round get to the point.

But what is inference? Just using the ai?

Moving to DE from Sql dba thsnks

When I started programming around 12 years old I used BASIC and ASM. Python to me is like BASIC... I beginner language. As a software engineer I use many different languages. I avoid Python if I can but some things at work use it. My job is mainly C# and SQL. Love it. First job out of college I wrote regular C/C++ so the syntax is not much different same and Java and C#. C# just build to java and added a lot more features.

What degree is required for this field?

How is inference affected by location of GPU servers?

I found the video highly engaging, particularly its coverage of pertinent topics. As a Senior Data Engineer aspiring to advance to the role of Chief Data Officer (CDO), I grasp the conceptual shift required. A CDO, akin to an economist, maximizes the value of data as a strategic asset. My query is: What is the highest-level career trajectory a Data Engineer can aspire to?

10 minutes wasted successfully with no useful information.

Unwatchable with distracting, loud music

yeah this was useless

bad, those annoying cookie pop ups need to be deleted and taken off, just like the gdpr

I want to write an app using an image classifier NN. Because all runs local, size matters. On Apple devices i can use CoreML to run models. How can i get the smallest deployable version of a Pytorch/Tenserflow model evaluator (not training)? This shouldn't be more then a few MB of size (if not just a few hundert KB cause it's all just simple maths code). But libtorch is also giant. What am i not understanding here?

How would I export a list of shares. I am not seeing that option

I want to become data engineer but which language is more better java or python.

❤

AWS has plug and play modules for heat and vibration sensing now?

❤️❤️

I find the t-shirt size estimation method unpractical. It is subjective and does't provide a relation to time, which is the entire concept around scrum.

Java gets a lot of hate 💔 the reason behind the hate or dislike of java is weird..

Inspiring. Is there any book about The value of Data from an Economic perspective?

Good video bro !

Thank you for this. i needed an answer to this exact question.

Dear Sir, Please Provide OneFS 8.5 ISO link

Matlab works well for engineers and scientists. Without being disrespectful, I’m talking about “real” engineers. People who need to solve physical science problems. Matlab is structured and operates the way these people think. It allows complex problems and systems to be analysed in a sophisticated way with a very low burden on time and effort. It improves productivity massively and that my friends is why it’s expensive.

great video! what about rephrasing the question to GPU vs Hadoop. In the context of map-reduce for instance.

I was learning web development but seems Machine Learning or Robotics is the future.

May I know which library is used in the industry ?? Like Is it DL4j or TensorFlow and Keras??

I mean first get into the topic first or keep the introduction very, very short. Couse you have only 6 min. OUt of 6 min the ifirst 1.25 transmit no meaningful information.

Love you for uploading thid

Holy Cow, 6 minutes wasted. Lots of words, no real explanation. Training is the process of passing the training dataset forward & backward through the network structure adjusting the weights to reduce the losses X number of times. When the losses have been reduced to an acceptable level, the model's structure and the weights & biases are saved. Inference is the process of loading the previously saved model's structure and the weights & biases into memory and then running feature sets (X values) of new data through the model producing predictions (y values)... Training/learning is creating "intelligence". Inference can be thought of as "thinking" with the artificially intelligent "brain" that was created through training.

1:44 you're welcome

great, what if you don't have rights?

finished watching

how can I rank using dense rank?

Will they also provide certification after completing the course?

is their any tutorial of ML/DL with c++ implementation?

Just looking at search results on a job site isnt really that useful. One of many reasons for this is that there may be 7* more jobs for python, but if there are 7* more python users then it balances out. It pays to know a rarer language. But also python seems to be that language which everyone puts in job descriptions regardless of whether you'd use it. It's like a supplementary skill, much like horse riding.

Very informative.Thank you

the antics at the intro is purely unnecessary it's cringy and don't do that! just get straight to the fucking point and we'll get it.. most of your audience are obviously serious people ,you know that given the material you are presenting!

Only speak speak speak speak.. you are irritating youtubeer.

Love it! Simple but brilliant 👍

Should I learn Hadoop now or can directly go to spark?

Now can i still use hunk on splunk?

How can I do the following : Please help asap *1.* Make an Artificial Neural Network with dynamic input and binary out .... *2.* Make a Self Organizing Maps with dynamic input and binary out ....

Hey, Thanks Man for this video!

you know C# you know Python you know you know you know. Keep knowing more and more.

so no answer ok lmao

Thank you

Very interesting