I am an Android Engineer, and this is my experience working on ML projects with our data scientist.
Source: HOB
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When I heard about Machine Learning I couldn't contain the amazement. I was not able to get my mind around the fact, that unlike normal software programs - which I was accustomed to - I wouldn't even have to teach a computer the "how" in detail about all the future scenarios up front.
Source: HOB4263
Python is a general-purpose interpreted programming language used for web development, machine learning, and complex data analysis. Python is a perfect language for beginners as it is easy to learn and understand.
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A survey of Rust users finds difficulty and frustration with the programming language's highly touted features for memory safety and correctness
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There are a ton of Resources & Tools out there that promise they can teach you "how to code" - but what does that mean exactly if you're a tech newbie, and what if you're not sure you're ready to invest in a formal course? I was in the same shoe.
Source: HOB94695
While the average salary for a Software Engineer is around $100,000 to $150,000, to make the big bucks you want to be an Artificial Intelligence or Machine Learning (Specialist/Scientist/Engineer.)
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This morning I found myself summarizing my favorite bits from a talk that I enjoyed at Google Cloud Next in San Francisco, What's New with TensorFlow?
Source: HOB7956
Hello guys, 2018 is coming to end and 2019 is approaching. This is the time, most of us start making our goals e.g. physical goals, educational goals, and financial goals. As a programmer, one of our goals is to learn new technologies and programming languages, but which languages should you learn? Since learning a programming language requires both time and patience, you should learn a language which is worth the effort i.e. it can reward you a better job and career growth. In this article, I am going to share with you the top 10 programming languages for 2019 as per StackOverflow's 2018 survey.
Source: HOB35142
Speech recognition is the task of detecting spoken words. There are many techniques to do Speech Recognition. In this post, we will go through some background required for Speech Recognition and use a basic technique to build a speech recognition model. The code is available on GitHub. For the techniques mentioned in this post, check this Jupyter Notebook.
Source: HOB7095
Since its inception, the programming language R has been one of the leading preferences for Data scientists & researchers and statisticians. R is a GNU package which was appeared in late 1993; it is a free software environment for statistical computing. In recent years R's popularity has increased exponentially due to advancements in Data analytics field.
Source: HOB4086
Deep learning is an exciting subfield at the cutting edge of machine learning and artificial intelligence. Deep learning has led to major breakthroughs in exciting subjects just such computer vision, audio processing, and even self-driving cars. In this guide, we'll be reviewing the essential stack of Python deep learning libraries.
Source: HOB9564
If you are a programmer then you must be good at using algorithms and logic. That's what makes a programmer an ideal candidate for machine learning engineer. First, you need to adjust your mindset that it's not hard to learn. Imagine the day when you were first introduced to programming, It must've looked so hard but as you worked on it, it became easier. The same goes for machine learning.
Source: HOB9672
Start the design of your chatbot with a framework or suffer the consequences.
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Python is a general-purpose language - sometimes referred to as utilitarian - which is designed to be simple to read and write. The point that it's not a complex language is important.
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Machine Learning and Artificial intelligence (AI) is now considered to be one of the biggest innovations since the microchip. AI used to be a fanciful concept from science fiction, but now it's becoming a daily reality. Neural networks (imitating the process of real neurons in the brain) are paving the way toward breakthroughs in machine learning, called "deep learning."
Source: HOB17739
Increasingly, colleges and universities, as well as governments, are using data science to improve the ways educational institutions do everything from recruiting to engaging with students to budgeting.
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With the world accepting the fact that every company now is a tech company, no matter what its size or what product or service it offers, hiring the best programming language developers is crucial to survival.
Source: HOB6591
Considering the extensive number of the modern programming languages, deciding which one to take by its horns and master can be a strenuous task.
Source: HOB18057
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