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Find the best Artificial Intelligence online course (AI) to learn. Learning AI is very easy now. Know about Artificial intelligence course syllabus, formats and content.

artificial intelligence online course, online artificial intelligence course, artificial intelligence course, artificial intelligence online

In recent years AI Artificial Intelligence has made significant improvements in future technology. Artificial intelligence is playing a big role in making from smart Games to Self driving cars. We are already using the AI products in our daily life. AI has a lot of applications in Games, Healthcare, Finance, Internet, Robotics etc.

The major companies of the world such as Google, Facebook, IBM, and Microsoft are investing lot of money in the field of AI research. Google and Facebook have recently bought AI start-ups to make the research bigger and beneficial.

AI is getting tremendous improvements in the field of Robotics, Autonomous vehicles, Games, Internet, etc. From the investments of tech giants we can understand the importance of Artificial Intelligence in future technology. They are redesigning their products with the help of AI and the output of redesigned product is just unbelievable. It is changing the world of computer science. At present this is the main category in lot of IT development programs.

This is the correct time to get into the field of AI. This field will excites you. The salary is just awesome. To get into the field of Artificial Intelligence and to learn the techniques of AI-powered machines, here I provided the best online Artificial Intelligence course list. These online courses will helps you to know the introductions of AI. Who knows, in future you can build the most advanced AI system in the world.

So what are you waiting for? Let jump into the field of Artificial Intelligence. Start to learn and make your career better than others.

Online Artificial Intelligence Course:

1. Udacity:

Intro to Artificial Intelligence

In this course, the two famous professors will teach you about the artificial intelligence. One is Peter Navig who is a research director at Google and the former head of computational sciences division at NASA Ames research centre. Other one is Sebastian Thrun an Udacity founder and multi awarded robotics expert who led the development of Google’s self driving car. He is also listed by Fast Company among the world’s best creative professionals in business.

In this course, Artificial Intelligence is sub divided into ten major lessons. Once you enrolled into this course you’ll get an introduction of AI and walkthroughs of concepts such as Machine learning, Robotics, Game Theory, Computer vision and Natural Language Processing. To understand these topics completely you should have some ideas in Probability, Linear Algebra etc.,

Use course notes effectively and try to solve some external programming exercises. Both course notes and external programming exercises are offered by Udacity. While you are listening to the training videos you’ll get some quizzes every now and then. It makes sure that you understand the lessons very clearly. Try to use all the resources provided by Udacity.

2. edX:

Artificial Intelligence

In this course your instructors are Dan Klein who led the development of Overmind, a Starcraft AI and other one is Pieter Abbeel who received a several awards in the field of advanced robotics.

This course offers you to know the basic concepts of Artificial Intelligence. But before you start this course, you should have computer programming knowledge especially in python. Also you should have some maths background in topics like Probability, Combinations and permutations etc.

After enrolled into this course, you’ll learn about Introduction to Artificial Intelligence and Intelligent agents that’s programmed to make sound decisions in random and adversarial scenarios. You’ll also learn about Machine learning algorithms, Applications of AI in Natural Language Processing, Robotics, Computer vision etc,

3. MIT OpenCourseWare:

Artificial Intelligence

This course is developed by Meassachusetts Institute of Technology. This course introduces the basic knowledge representation, Problem solving and learning methods of Artificial Intelligence. As a part of this course you’ll be asked to build an AI system which reflects to solve real world problems using computation based solutions. At the same time you’ll learn the AI concepts such as knowledge representation, computer vision, Natural language processing and machine learning. This course offers video lectures, assignments and exams.

4. Saylor.org Academy

Artificial Intelligence

This course will teach you about the basics of Artificial Intelligence and its key elements. To offer best contents it uses some educational sources such as Open Courseware from MIT, Stanford, and UC-Irvine as well as relevant chapters from the book of Practical Artificial Intelligence programming in Java by Mark Watson. In this course you’ll learn more about Robotics, Machine Learning, Natural Language Processing, Frameworks and applications of AI.

5. Utubersity

NPTEL Artificial Intelligence:

India’s National Programme on Technology Enhanced Learning (NPTEL) is a Government funded educational initiative. It works with the help of seven public sector Engineering and Management institutes. This course involves web and video based learning contents of Artificial Intelligence

This course is made up of 36 videos with topics such as Neural Networks, Bayesian Networks, logic and deduction etc. This course is taught by IBM faculty Professor Pallab Dasgupta, of IIT kharagpur.

This course is channelled through Utubersity, which publishes educational videos from world’s top universities.

Summary:

Note: All this courses are Free

Artificial Intelligence Online course:

Course Providers
Course Name
Course format

1. UDACITY:

Intro to Artificial Intelligence

Video Training
Course Notes
Quizzes
Programming Exercises

2. edX:

Artificial Intelligence

Video Course
Final Exam

3. MIT OpenCourseWare:

Artificial Intelligence

Video Lessons
Assignments
Recitation Videos
Exams

4. Saylor.org Academy:

Artificial Intelligence

120 hours of course (9 units)
Presentations and Pdf’s
Final Exam

5. Utubersity:

NPTEL - Artificial Intelligence
36 video lectures

November 16, 2016 9 comments

Google brings Machine Learning to get smarter, easy to use and assistive Google Play Music app.

Google Play music, play music app, Machine Learning, Google Machine Learning

Google Play Music with Machine Learning

This week you are going to say like “today morning I opened the app of Google Play music in my android phone and I have seen lot of changes in service today. It’s not a normal difference but a huge one. The service, improved many aspects and I loved it. I think you also noticed the difference. The home screen looking nice and it recommends some music’s to you.”
Actually what happened to Google Play Music?

Google services made so many tools for us to make the world of information more accessible and useful. We are using Google as a search tool, remainder, Smart Reply, and many more. Now they developed a new updated Google play music using Machine Learning.

Google machine learning is comes into play! Yes Google brings Machine learning system to Play Music service to provide best music which is relevant to you. From now onwards, the service is going to be smarter, assistive and very easy to use. Machine learning predicts what music you like by considering the factors like your location, weather and activity along with hand-picked playlists to personalized music.

Google says in a blog post,

“when you opt in , we’ll deliver personalized music based on where you are and why you are listening – relaxing at home, powering through at work, commuting, flying, exploring new cities, heading out on the town, and everything in between. Your workout music is front and centre as you walk into the gym, a sunset soundtrack appears just as the sky goes pink, and tunes for focusing turn up at the library”

If you refresh the page the Home screen provides various playlists related to your past listening habits. Google also provides a useful feature that determines when you’re in without connectivity and provides an offline playlists based on what you’ve recently listened to.

Whether you are walking, driving, flying the situational music makes you happy and it makes your day better. Google Play music delivers high quality music for the things you do every day. Download Google Play Music and feel the change. Instead of finding the perfect music perfect music finding you...

November 14, 2016 No comments

Google Machine Learning TensorFlow and Drones are protects the life of sea cows from extinction.

Google Machine Learning

Can Google machine learning TensorFlow help sea mammals such as sea cows, whales, dolphins that are under the threat of extinction? Scientists believe it can.

Because of coastal developments sea cows are losing their lives. It’s happening around the world for other marine animals too. If we didn’t stop it leads to the extinction of sea cows.

We can reduce the damage by tracking their populations and places they live etc., but it is very tough. Tracking accurate data on population is very critical. So scientists are used small planes to calculate the populations of sea cows. This method of using planes was expensive and hazardous.

Dr. Amanda Hodgson of Murdoch University helped to take an aerial photography of the ocean using Drones. Now we can easily collect photos of ocean without causing any problems. Here the problem is started! How can they find sea cows in nearly 45000 photos?

See the image below. Did you find sea cows in that image? I think it’s very tough. Look at in the middle of the lower-left quarter. That little gray smaller-than-fingernail sized silver. You can’t find it without the circle.

google machine learning, drones, sea cows, machine learning

Check the image clearly with the sea cows circled.

Do you believe that we can manually identify sea cows for hundreds or thousands of photos? It’s impossible. Nott impossible but slows down your research.

So Dr. Amanda Hodgson and team decided to apply machine learning. She teamed up with Dr. Fredrick Maire, a computer scientist at Queensland university of Technology. They created a detector using Google’s TensorFlow platform that can automatically find sea cows in aerial photos of oceans taken from drones.

Google’s second generation machine learning system TensorFlow was launched last year. It is developed by the researchers at Google Brain team within Google’s machine intelligence research organisation. This is a free open source machine learning system. This technology is like the image recognition tool that lets you search Google photos for shots of particular dog specious etc.,

The detector helped to find 80% of the sea cows that they had found manually in photos. Now they are confident and expect to improve the performance of the detector. They are planning to use this technology to detect other sea mammals such as Humpback whales and certain types of Dolphins.

It’s very urgent to protect the lives of animals in danger. Google Machine Learning TensorFlow is helping in saving the lives of incredible animals on earth.

November 12, 2016 No comments

Learn the introduction to predictive modelling or predictive Analytics, Basics of predictive modelling.

Predictive modeling:

you can here this word when you begin your career in artificial intelligence. If you are a beginner this topic will confuse you. I try to explain in a simple way.

Okay, let’s come to the reality, did you ever notice that when you entered into your online shopping account you will receive the list of products you’re interested in. You can notice that website’s advertisements are relevant to their contents only. An online job portal sends your job recommendations to your account accurately! Predictive modeling in health care is a new trend now.

Likes dislikes are not common to all the people. It differs from person to person. But how they are sending correct information to their customers as per their interest? Here Predictive Analytics comes to the party! This all works are done by using the technology of Predictive Analytics.

Many companies are using predictive analytics to improve their customer satisfaction. They are doing very good in their target. They are improving profit margins by showing relevant products to their customer’s interest.

So what is Predictive modeling?

Gartner says that

“Predictive modeling is a commonly used statistical technique to predict future behaviour. Predictive modeling solutions are a form of data-mining technology that works by analyzing historical and current data and generating a model to help predict future outcomes.”

Predictive analytics uses your past data and applies them to the future. For example, you’re purchasing a brand new smart phone from an ecommerce site. After your purchase, ecommerce site shows some product (Accessories) recommendations relating to your brand new phones. You will definitely purchase relevant accessories to your phone (99% of chances are there to buy new accessories) am I right?

Here you can see that predictive analytics uses your data and it will predict your future. In this example, it uses your smart phone purchase as your current data and it converts into the future. You can think like it’s so simple. But imagine you have to predict for millions of people with millions of product categories with multiple options. So here predictive analytics is most important.

How it Works:

Sample data:

First step in predictive model is to collect the data from various sources. In this case data is all about your product purchased in the past, pages you visited, name, age, address etc., sometimes data may be wrong. We have to clean the data as much as possible. If data cleaning is not done properly then prediction accuracy may be decrease.

Learn a model:

There must be sync between various business hypotheses. For example particular age or gender group may have higher likelihood to purchase certain products. Age and gender needs to be attributed at customer level. In this case output is category called as classification problem. The algorithm does the learning. It finds category relationships. Now the model is ready.

Make Prediction:

We can use our learned model on new data for which we don’t know the output.
I will explain about algorithms in future posts. Comment your opinions!!!

November 12, 2016 1 comments

Follow these most amazing and promising artificial intelligence startups. These companies are working with artificial intelligence and machine learning technology.

AI startup, Artificial Intelligence startups

It's official, 2016 has been the year of the AI startup acquisition. Tech giants Apple, Intel, Twitter and Microsoft have all spent large sums to bring artificial intelligence startups, and their expertise, inhouse.

Four of the biggest AI startup acquisitions of the last five years have come from the UK, starting with Google's purchase of Deep Mind in 2014 for a reported £400 million. Since then Apple has purchased Cambridge-based natural language processing specialists VocalIQ, Microsoft bought the machine learning powered keyboard SwiftKey in February and Twitter acquired Entrepreneur First alumni Magic Pony in June.

Here are some of the most interesting startups working in the area of artificial intelligence in the UK today, whether that is machine learning, deep learning, neural nets or computer vision. Could the next Deep Mind be lurking in there?

1. Darktrace

The established security startup from Cambridge, Darktrace, uses machine learning algorithms to spot patterns and catch cyber criminals before they can hit. Cyber threats are created at a rate too fast for security companies to keep up to date, so smart use of machine learning allows Darktrace to, in theory, stay ahead of the criminals.

Darktrace uses AI techniques to learn what is normal within a company's network so that it can quickly identify anomalies. According to its website: "This allows it to detect cyber attacks of a nature that may not have been observed before, the unknown unknowns."

Darktrace CEO Nicole Eagan told Techworld in 2014: “People are finally accepting that compromises are happening, regardless of how much perimeter security and malware detection software they’ve put in."

Darktrace raised a massive $65 million investment round led by investment firm KKR in July.

2. BenevolentAI

BenevolentAI is a UK startup focused on bringing the power of AI and machine learning to the genomics space.

The idea is to expedite the traditional research process by ingesting huge amounts of data and literature using proprietary algorithms and NVIDIA’s DGX-1 deep learning supercomputer. BenevolentAI then builds tools on top to match the workflow of drug discovery scientists so that they can easily mine and interrogate the data, ideally reducing the time to market for important drugs.

BenevolentAI is one of the best funded AI startups in the UK, bringing in a massive Series A round of £72 million in a single undisclosed round.

3. Onfido

London startup Onfido is doing similar work to Darktrace but with identity and background checks.

Founded by a trio of Oxford graduates, the platform plugs into various publicly available databases to give employers quick identity verification and background checks for things like driving and criminal records.

In their own words, Onfido's "intelligent software revolutionises the archaic background checking industry through automated data aggregation and verification". The company is hiring machine learning and computer vision engineers to build on the smart platform.

Onfido raised a strong Series B funding round of $25 million (£19 million) in April, led by Idinvest Partners.

4. Echobox

Echobox is building AI for the publishing industry, and claims to have developed "the world's first artificial intelligence that understands the meaning of content". Founder Antoine Amann is a Cambridge graduate who worked in publishing with theFinancial Times and developed Echobox while at Entrepreneur First in 2013.

Amman wrote in a blog post that Echobox has "developed an AI platform that takes a large quantity of variables into account and analyses them in real time to determine optimum post performance".

Echobox social is a predictive tool which optimises content for social media, which the startup claims to double referrals from Facebook and Twitter, without having to do your own analytics, A/B testing or content curation. Basically: RIP social media editors. It has worked with the likes of Vice and The Telegraph in the UK media.

Echobox raised $3.4 million Series A funding round in July led by Mangrove Capital Partners.

5. Ravelin

Ravelin is the brain child of former Hailo employees who saw that existing anti-fraud technology wasn't fit for the on-demand market. Its machine-learning algorithms are integrated with customer data to give a contextual basis for detecting potentially fraudulent transactions.

COO Nick Lally told Techworld that where rival payment gateways like Stripe analyse transactions, "we analyse customers". Lally says there is no cold start problem with its machine learning models, "when they integrate against our APIs we ask them to backfill data and chargebacks to inspect that and train a model on those. So from day one they get great results", he said.

Ravelin launched commercially nine months, with early customers including Deliveroo and EasyTaxi. It raised £3 million in October, led by Playfair Capital and included Amadeus Capital and Passion Capital.

6. Stepsize

Stepsize is a startup working on AI to help software developers.

Their first product, Stepsize Layer, is a desktop application for developers that automatically adds context to code bases, so developers have a better view of who wrote a piece of code, when, and why. They do this by pulling together commits, code reviews and user stories to create a timeline for that code. It integrates with Slack so developers can contact the author and ask questions about the code.

Three of the co-founders are UCL mathematics graduates, with Matthieu Louis and Nick Omeyer specialising in machine learning for their masters. The team are currently working on pooling data to build and train machine learning algorithms to help software developers.

Stepsize is part of the Virgin Media Accelerator Programme.

7. Phrasee

London-based startup Phrasee is aiming its artificial intelligence systems at the marketing sector, using natural language processing techniques to optimise digital marketing messages.

As its website states: "Out of trillions of ways to write something, what are the odds your gut instinct gets it right? The answer: next to none." Phrasee integrates with major email service providers and will optimises subject lines and copy to increase open rates. The startup also offers software which prompts marketers to make better calls to action based on the data.

The AI engine simulates millions of permutations of copy and makes a prediction based on historic results about what will perform best. This is then fed back into the engine so that it gets better the more you use it.

Phrasee raised £1 million in seed funding led by communications business Next 15, which owns a range of marketing agencies.

8. Grip

Grip is the London based startup that is using AI to make networking at events more productive. The startup, formerly known as Networkr, was rebranded in April because, as CEO Tim Groot told Techworld: "People don't like networking, so we wanted a name open to interpretation."

Grip collects data from social accounts (LinkedIn, Twitter) and registration data to act as a smart matchmaking service - using a swipe interface - for corporate event goers. Think 'Tinder for networking'. Grip will then deliver a report back to the event organiser to identify how successful the event has been for every user or social segment.

Groot told Techworld that the average Grip user made 300 swipes during the Cannes Lions advertising festival this year. When it comes to the AI, Groot says hiring talent to join their engineers in Copenhagen wasn't difficult and that "matching people in professional setting is an exciting problem to be thinking about" for their engineers.

Grip merged with fellow professional networking startup Intros.at in 2015 and is seeking a funding round later this year. Groot says the company is making revenue from events already, and is working with the likes of Reed Exhibitions and Cannes Lions.

9. Seldon

Seldon is an AI startup focusing on bringing machine learning capabilities into the enterprise. Seldon creates tools that help data scientists derive value from big data within an organisation quicker, namely processing data and creating algorithms and models.

The platform has two main functions: recommendations and predictions. For recommendations the open source platform captures and logs user actions via an API delivers recommendations based on your models. For predictions Seldon claims it can predict what products a customer is likely to buy so that sales teams can build supervised, learning-based predictive models and pipelines.

Seldon.io already works with YouGov, Lastminute.com and RatedPeople.com. and is based out of the Barclays incubator in London. It has raised two undisclosed funding rounds from Techstars.

10. Tractable

Based in south London, Tractable is an enterprise deep learning consultancy focused on automating tasks that were previously considered too expert for an AI to perform.

The website reads: "Our AI technology combines image recognition and text understanding to interpret unstructured and specialist data, as domain experts do. If your business relies on expert visual analysis or language understanding, our AI can bring drastic performance gains."

Tractable offers bespoke deep learning solutions depending on its clients requirements, and has built an automated audit claims product for the insurance industry. The team is led by Alex Dalyac, a computer science postgraduate from Imperial College London and Razvan Ranca, a computer science postgrad from Cambridge University.

Tractable raised $1.9 million (£1.4 million) in June last year, led by Zetta Venture Partners.

11. re:infer

re:infer is currently in private beta, working with companies like ecommerce startup Farfetch. The technology uses deep neural networks in its AI bots that can process and respond to customer queries in natural language. The re:infer platform also pulls all forms of user feedback - email, surveys, social media - into one place and applies AI to make sense of the data. Re:infer is also looking into ways to allow customers to use these chatbots to do their shopping.

The founders met while studying in the AI research group at UCL, the same university that the Deep Mind founder Demis Hassabis got his PhD from.

re:infer received £65,000 in funding from the Seedcamp incubator it is currently based out of the Seedcamp incubator in London.

12. Cleo

The intelligent assistant Cleo's main function is to help you be smarter with your money. It has been developed by computer science graduates Barney Hussey-Yeo and Aleksandra Wozniak, who met as members of Entrepreneur First's fifth cohort.

Cleo works via a messaging platform which, once you give it permission to your account information, can answer questions about your finances. Using deep learning techniques allows Cleo to learn and adapt to your habits and preferences.

As the website states: "Imagine if you had your own team of McKinsey consultants, Goldman Sachs associates and hedge fund analysts whose sole job is to advise you on your money."

13. Brolly

This UK insurtech startup that is in the current Entrepreneur First cohort is building an AI enable insurance adviser. The app says it will be able to inform you if you are under or over insured, if you have duplicate or missing cover and can help you find better cover. You sign up once and then getting new cover only takes one tap.

Brolly also acts as a mobile wallet for all of your insurance products, including documents, to be managed in one place. Brolly is currently in beta and says it will launch on iOS and Android in 2016.

14. StatusToday

Another Entrepreneur First alumni, StatusToday collects the metadata created whenever someone within an organisation takes an action on their computer. It then applies machine learning to spot user behaviour patterns and flag anomalies, which could mean a breach has occurred.

StatusToday has raised two undisclosed funding rounds from Entrepreneur First and Force Over Mass Capital to date.

November 11, 2016 No comments

Find the best Artificial Intelligence online course (AI) to learn. Learning AI is very easy now. Know about Artificial intelligence course syllabus, formats and content.

Online Artificial Intelligence Course:

1. Udacity:

2. edX:

3. MIT OpenCourseWare:

4. Saylor.org Academy

5. Utubersity

Summary:

Artificial Intelligence Online course:

Google brings Machine Learning to get smarter, easy to use and assistive Google Play Music app.

Google Machine Learning TensorFlow and Drones are protects the life of sea cows from extinction.

Predictive modeling:

How it Works:

Sample data:

Learn a model:

Make Prediction:

1. Darktrace

2. BenevolentAI

3. Onfido

4. Echobox

5. Ravelin

6. Stepsize

7. Phrasee

8. Grip

9. Seldon

10. Tractable

11. re:infer

12. Cleo

13. Brolly

14. StatusToday

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It's A "Holly Jolly" Artificial Intelligence Enabled Special Christmas

Find the best Artificial Intelligence online course (AI) to learn. Learning AI is very easy now. Know about Artificial intelligence course syllabus, formats and content.

Online Artificial Intelligence Course:

1. Udacity:

2. edX:

3. MIT OpenCourseWare:

4. Saylor.org Academy

5. Utubersity

Summary:

Artificial Intelligence Online course:

Google brings Machine Learning to get smarter, easy to use and assistive Google Play Music app.

Google Machine Learning TensorFlow and Drones are protects the life of sea cows from extinction.

Predictive modeling:

How it Works:

Sample data:

Learn a model:

Make Prediction:

1. Darktrace

2. BenevolentAI

3. Onfido

4. Echobox

5. Ravelin

6. Stepsize

7. Phrasee

8. Grip

9. Seldon

10. Tractable

11. re:infer

12. Cleo

13. Brolly

14. StatusToday

About me

Follow Us

Labels

recent posts

Blog Archive

Follow Us

Report Abuse

About Me