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Complete Python Developer in 2019: Zero to Mastery

#artificialintelligence

Udemy - Complete Python Developer in 2019: Zero to Mastery, How to become a Python 3 Developer and get hired! HOT & NEW, 4.8 (720 ratings), Created by Andrei Neagoie, English [Auto-generated] Join a live online community of over 100,000 developers and a course taught by an industry expert that has actually worked both in Silicon Valley and Toronto. This is a brand new Python course just launched September 2019! Graduates of Andrei's courses are now working at Google, Amazon, Apple, IBM, JP Morgan, Facebook, other top tech companies. Learn Python from scratch, get hired, and have fun along the way with the most modern, up-to-date Python course on Udemy.


Semantic Segmentation

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Deep learning is helping Facebook draw value from a larger portion of its unstructured datasets created by almost 2 billion people updating their statuses 293,000 times per minute. Most of its deep learning technology is built on the Torch framework that focuses on deep learning technologies and neural networks. One of the most useful tools used by Facebook is Deeptext Deep Text uses unsupervised machine learning to understand humans and interpret what they say. Deeptext, which decodes the meaning of the content posted to find the relative meaning. Facebook then helps brands to generate leads with this tool by directing people to advertisers based on the conversations they are having.


Facebook's AI team expands post-grad courses for Black and Latinx students

Engadget

Facebook says that it will expand an online course in deep learning to more students to help improve the diversity of its AI division. After a successful pilot program at Georgia Tech, the company will roll out this graduate-level course in deep learning to more colleges across 2021. The focus will be on offering the system to universities that serve large numbers of Black and Latinx students. It's hoped that, by improving the diversity of the people building these systems, some of the more odious biases will be weeded out. This is part of a broader program to encourage people to enter the computer science field even if their undergraduate training is in another area.


Facebook Is Giving Away This Speech Recognition Model For Free

#artificialintelligence

Researchers at Facebook AI recently introduced and open-sourced a new framework for self-supervised learning of representations from raw audio data known as wav2vec 2.0. The company claims that this framework can enable automatic speech recognition models with just 10 minutes of transcribed speech data. Neural network models have gained much traction over the last few years due to its applications across various sectors. The models work with the help of vast quantities of labelled training data. However, most of the time, it is challenging to gather labelled data than unlabelled data.


The Role of Data Science in Sentiment Analysis

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Understanding individuals' feelings are fundamental for organizations since clients can communicate their feelings and sentiments more transparently than ever before. By automatically analyzing customer feedback, from study reactions to social media discussions, brands can listen mindfully to their clients, and tailor products and services to address their issues. Sentiment analysis is a machine learning method that recognizes polarity (for example a positive or negative thought) within the text, whether a whole document, paragraph, sentence, or clause. Marketing is ending up being one of the artworks most disrupted by the digital revolution. A lot to the aversion of customary marketing proponents and maybe to the pleasure of technologists, it is presently a lot about codifying the whole knowledge chain – catching the abundance of digital data, sorting out it, applying algorithms to process it and taking care of back noteworthy decisions to different functions– all in real-time, with end to end automation, and at lightening quick speed.


Go Ahead, Try to Sneak Bad Words Past AI Filters--for Research

WIRED

Facebook's artificial intelligence researchers have a plan to make algorithms smarter by exposing them to human cunning. They want your help to supply the trickery. Thursday, Facebook's AI lab launched a project called Dynabench that creates a kind of gladiatorial arena in which humans try to trip up AI systems. Challenges include crafting sentences that cause a sentiment-scoring system to misfire, reading a comment as negative when it is actually positive, for example. Another involves tricking a hate speech filter--a potential draw for teens and trolls.


Complete Python Developer in 2020: Zero to Mastery

#artificialintelligence

Become a professional Python Developer and get hired Master modern Python 3 fundamentals as well as advanced topics Learn Object Oriented Programming Learn Function Programming Build 12 real world Python projects you can show off Learn how to use Python in Web Development Learn Machine Learning with Python Build a Machine Learning Model Learn Data Science - Analyze and Visualize Data Build a professional Portfolio Website Use Python to process: Images, CSVs, PDFs, and other Files Build a Web Scraper with Python and BeautifulSoup Use Python to send Emails and SMS Use Python to build a Twitter bot Learn to Test, Debug and Handle Errors in your Python programs Learn best practices to write clean, performant, and bug free code Learn to use Selenium and Python in Automation Set up a professional workspace with Jupyter Notebooks, PyCharm, VS Code more Become a complete Python developer! Join a live online community of over 150,000 developers and a course taught by an industry expert that has actually worked both in Silicon Valley and Toronto. This is a brand new Python course just launched September 2019! Graduates of Andrei's courses are now working at Google, Amazon, Apple, IBM, JP Morgan, Facebook, other top tech companies.Learn Python from scratch, get hired, and have fun along the way with the most modern, up-to-date Python course on Udemy (we use the latest version of Python). This course is focused on efficiency: never spend time on confusing, out of date, incomplete Python tutorials anymore.


AI and Mentoring: The Perfect Match

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If ever there was a time for mentorship, it's now. Even back in the days of'business as usual', employees valued having someone to lean on – an experienced colleague who could offer support and advice on tricky situations, business decisions and career progression. It was easier then; all you had to do was knock on their office door or drop them an email requesting a catch up over coffee. But since COVID-19 rocked up, two things have happened: traditional avenues for accessing mentors have all but vanished, and the trend of remote working has stripped employees of vital support networks and structure, making mentoring more important than ever. Some people roll their eyes at the very mention of mentorships; they write them off as a box-ticking exercise for interns or a pastime for chief executives with too much time on their hands (as if such a thing existed). For those people, let me set the record straight.


deeplearning_2020-09-02_09-04-01.xlsx

#artificialintelligence

The graph represents a network of 3,276 Twitter users whose tweets in the requested range contained "deeplearning", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Wednesday, 02 September 2020 at 16:20 UTC.


81 of The Best Places to Learn to Code For Free

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You can also download code cheat sheets, checklists, and worksheets to shorten the data science learning curve. Want to level up your spreadsheet skills from intermediate to advanced? This course by Ben Collins teaches you one new high-level spreadsheet formula or technique every day for 30 days, using Google Sheets. These bite-sized tutorials will get you comfortable with manipulating data in spreadsheets in more complex ways.