How To Become A Machine Learning Engineer

We will walk you through all the aspects of machine learning from simple linear regressions to the latest neural networks, and you will learn not only how to use them but also how to build them from scratch.

Big part of this path is oriented on Computer Vision(CV), because it’s the fastest way to get general knowledge, and the experience from CV can be simply transferred to any ML area.

We will use TensorFlow as a ML framework, as it is the most promising and production ready.

Learning will be better if you work on theoretical and practical materials at the same time to get practical experience on the learned material.

Also if you want to compete with other people solving real life problems I would recommend you to register on Kaggle, as it could be a good addition to your resume.

Requirement:
Python. You don’t have to be a guru, the basic knowledge will be just fine. For anything else there are manuals)

1. Courses:

1.1 Practical Machine Learning by Johns Hopkins University

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WordPress.com makes it easier for bloggers to accept PayPal payments

WordPress.com is making it easier for bloggers to accept online payments using PayPal.

While the web hosting service and publishing giant already supported PayPal payments, the process involved a rather long-winded, nine-step sequence, starting with having to find your PayPal button code.

Moving forward, things will be a lot quicker.

“We knew that we wanted to make an existing process simpler,” explained John Maeda, ‎global head of computational design and inclusion at parent company Automattic. “So we set a design goal of bringing a 15-minute-long process to under a minute — especially for a customer that has never used PayPal before.”

The result of the work is a simple button that can be inserted from a dropdown menu in any new post.

Above: Payment button

When you hit “Add Payment Button,” you’ll be prompted to include details of what it is you’re selling and add the email address of the associated PayPal account.

Above: New button form

And that’s it. You can then insert read more

This traditional Italian eatery is taking over New York

Bakeries wouldn’t seem the obvious place for one-percenters to spend their dough.

But Sant Ambroeus is not your average bake shop. Founded in Milan back in 1936, the traditional Italian eatery has spread across tonier tri-state ’hoods — Southampton, SoHo, Madison Ave. — to become the pastaria and pasticceria of choice for major fashion, media and money-makers.

Everyone from Valentino and Nick Jonas to Gigi Hadid and Taylor Swift have been spotted at its 2-year-old Lafayette Street outpost.

Gherardo Guarducci, co-founder and partner of SA Hospitality Group, which owns Sant Ambroeus, oversaw its most recent debut — on sleepy Third Avenue and 66th Street. It’s an interesting choice, but the area is now more desirable with the expansion of the Second Avenue Subway — and has already proven a hit for nearby fancy French boulangerie Maison Kayser owned by Eric Kayser (which boasts bakeries from Colombia to The Congo).

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3 Ways Artificial Intelligence Is Changing The Finance Industry

As artificial intelligence transforms an increasing number of domains, financial institutions and companies are moving fast to keep pace. This can affect the way you bank, invest, receive loans and prevent financial crimes.

At the heart of the AI revolution are machine learning algorithms, software that self-improves as it is fed more and more data, a trend that the financial industry can benefit from immensely. Here are some of the key trends that making inroads in the space.

Fraud detection

As e-commerce has risen in popularity, so has online fraud. Yet fighting online fraud is very challenging. Declining transactions too aggressively to prevent fraud can be a self-defeating goal. According to a 2015 study by research firm Javelin Strategy, false declines, legitimate transactions that are wrongly rejected, account for $118 bln in losses for retailers. A third of false decline cases result in lost customers, and in US alone they incur damage that is worth 13 times the value of actual fraud.

Artificial read more

The World’s Biggest Tech Companies Are No Longer Just American

“We’ve come to the point where China has finally caught up with the U.S. in the internet space,” said Hans Tung, a managing partner at venture capital firm GGV Capital.

Mr. Tung, who invests in many Chinese start-ups, said the main advantage for Alibaba and Tencent was that the United States still had efficient “offline” — or non-internet — options for shopping or entertainment. But in China, where there are fewer appealing options offline, Tencent and Alibaba play a central role in how people buy and pay for goods and services, communicate and entertain themselves.

The ascendance of Tencent and Alibaba is evident in their scale. Soon, Tencent will be the only company other than Facebook to have a social network with more than one billion users. (Facebook is still ahead with more than two billion members.) Tencent recently said its messaging app, WeChat — which includes payments and a social network — had 960 million monthly active users.

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AI is targeting some of the world’s biggest problems: homelessness, terrorism, and extinction

Making AI models at the University of Southern California (USC) Center for AI in Society does not involve a clean, sorted dataset. Sometimes it means interviewing homeless youth in Los Angeles to map human social networks. Sometimes it involves going to Uganda for better conservation of endangered species.

“With AI, we are able to reach 70 percent of the youth population in the pilot, compared to about 25 percent in the standard techniques. So AI algorithms are able to reach far more youth in terms of spreading HIV information compared to traditional methods,” said Milind Tambe, a professor at the USC Viterbi School of Engineering and cofounder of the Center for AI in Society. “If I were doing AI normally I might get data from the outside and I would analyze the data, produce algorithms, and so forth, but I wouldn’t go to a homeless shelter.”

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Who needs friends when you have anonymous feedback apps?

If you think that sounds like a recipe for abuse, well, you’re not alone. With such rapid growth — it now has 300 million users — Sarahah has raised concerns among parents and educators that it’ll be a haven for online bullying, especially because it’s such a hit with teenagers and young adults. But perhaps a larger question is: Why these anonymous apps have such appeal in the first place, and what is it that apps like Sarahah can do to keep the trolls away?

Sarahah is the brainchild of Zain al-Abidin Tawfiq, a systems analyst who originally created it as a way for employees to give feedback to their employers without fear of retribution. Tawfiq, who’s from Saudi Arabia, says the name “Sarahah” is Arabic for “honesty.” “Having anonymous feedback would facilitate communications and help people develop, so that the company can improve,” he told Engadget.

It was released to the public in November 2016 as a simple website read more

Business Intelligence is Failing; Here is what is coming next

According to Gartner, the chance of a BI initiative not meeting enterprise objectives is a staggering 70 percent. That is because the answers to current business needs can not be answered by BI alone.

Even if you didn’t like calculus in High School, Maya Gal, founder of Okapi has a powerful equation which explains what organizations need to do in order to achieve operational excellence.

“Platforms using Artificial Intelligence, Machine Learning and Collective Intelligence should be the standard in supporting Operational Excellence. It’s my belief that organizations that do not make use of these technologies, will miss out on a great opportunity to catch this amazing wave.” says Maya. 

Historically, BI tools only answered the “what and why” questions, and we now understand this is not enough. BI is very expensive to implement, and eats up valuable resources to gain insights.

Next-generation BI platforms use Artificial Intelligence to automatically locate, visualize and read more

Bitcoin’s meteoric rise is costing some investors billions

Companies that make the semiconductors for cryptocurrency mining have been a hot-button topic in the investment world, with the fate of their stocks closely tied to the prices of bitcoin and ether Hedge fund Carlson Capital has a fund that’s lost 14.2% this year because of bad short wagers on Nvidia and Advanced Micro Devices

The meteoric rise of bitcoin is rippling through financial markets, and not everyone is enjoying the ride.

The scorching-hot cryptocurrency has tentacles that stretch into many different parts of the investment landscape, and some traders are finding out the hard way how much influence it can wield.

Just ask the unfortunate souls who have been trying to short chip makers and learning the hard way that their share prices are closely linked to interest in bitcoin. The stocks of companies like Nvidia and Advanced Micro Devices, which make chips used to mine, or produce, bitcoin – a process that involves heaps of computers solving complex equations – have surged alongside the cryptocurrency, destroying the short positions.

Short sellers betting against those two companies have lost a combined $1.8 billion this year as Nvidia has skyrocketed by 57% and AMD has climbed by 16%, according to data provided by the financial analytics firm S3 Partners.

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Automation, Artificial Intelligence to make many IT jobs obsolete over next 5 years, says survey

The Information Technology has never had it so bad as it has since a year ago when job cuts and summary dismissals have been the order of the day. No matter which blue chip IT firm an individual works for, the jobs they are hold at risk, irrespective of seniority.

Reuters

Reuters

A survey by Simplilearn, How Automation is Changing Work Choices: The Future of IT Jobs in India, says that the future of IT is in Cyber Security, Big Data and Data Science, Big Data Architect, Big Data Engineer, Artificial Intelligence and IoT (Internet of Things) Architect, and Cloud Architect .

Chart2

The jobs that will disappear will be anything in the next five are those that are repetitive and can be taken over by Artificial Intelligence (AI) such as manual testing, infrastructure management, BPO and system maintenance will massively decline over the next five years.

Chart1

Core development jobs will not feel the impact of job loss, said Kashyap Dalal, Chief Business Officer. “The IT industry is seeing the impact of read more