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Showing posts with the label Machine Learning

What skills do I need to be a Python developer?

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  A Python developer? If you think Python is a  good programming language to learn  to get a job, you are correct. Python is one of the most popular and marketable programming languages in the world. There are many Python skills to learn to become a sought-after developer. Python is the preferred language for new technologies if you want a high paying job in  machine  learning and data science,  learn Python . Do you want to know what skills you need in order to become a  Python  developer? In this article, you will find the necessary skills to become a top Python developer. How much Python do I need to know to land a job? To land a Python  job , you have to be able to convince a company that you have the skills to do the job. You need a combination of Python technical skills such as a core understanding of the language and at least one development framework. You also need some valuable soft skills such as communication. If you are acting weird during the job interview, no amount of te

Taking on Python as your favorite programming llanguage

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A realistic roadmap to becoming a Python developer This is a highly opinionated, pseudo-motivational, unconventional and almost rant-like developer roadmap article. This article is more than a compilation of best books/videos/courses to learn Python and covers the bigger issues that a beginner/early-intermediate faces on their journey. These are the undocumented problems Stack Overflow does not solve. Why Python ? Why should you learn Python anyway? Why not one of the 20 other languages trending right now? As you’re beginning your journey, this questions crops up multiple times (a day). Picking your first programming language is a lot like picking a starter pokemon. The inherent capabilities of a language are less significant than the skill of the programmer in using said language and their grit to make it into the big league. If you want to start with a different language, do yourself a favor and stop reading this article. You’ll hav

Is Python enough to get you a job?

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No. Just Python will not be enough to land a job.  You need 5 more things. . 1. Companies don’t hire a Python dev. They hire a problem-solver. If you have learned X and can’t do Y with the concepts you learned from X, you will not get hired. It’s impossible to know what problems you have to solve when you get hired or what problem you will be solving 2/3 years from now. That’s why companies look for people who can take any problem and solve it by using coding techniques. For example, you have learned the dictionary data structure. Now, if I give you a new situation (car dealership, book club, grocery store, or bank software, etc.) and you don’t know how to use the dictionary data structure in that situation, you will not get hired. So, Don’t just learn coding. Pay attention to why you are doing certain things. What else you could do to solve the problem. Solve as many problems as possible. If you are beginners, check out  Programming Hero  to learn and master  100+ codi

The Future of Artificial Intelligence is beyond Human understanding

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Artificial Intelligence Is Now Far Too Big To Be Limited To Computer Science. While all systems reflect the intentions and biases of their human creators, artificial intelligence takes things in a new direction, connecting inferences in unexpected, and often, un-explainable ways.  That's why some leading voices in the academic and computer science community are calling for a new way of studying and understanding AI actions, which they call "machine behavior." In a  post ,   Joe McKendrick  explored current-day drivers of AI, which include gamers, hipsters and angels, who have applied the technology in highly unexpected ways. So, already, there are new forces at work bringing AI into the mainstream of business and society. In addition, C-level executives have  increasing responsibility for the actions and behaviors of their AI-driven systems. The academic community recognizes that AI has left the computer science building, metaphorically speaking. "Cu