Best Online Courses for Learning Machine Learning

Machine learning is a branch of Artificial Intelligence (AI) that deals with the design and development of algorithms that can learn from data.

The demand for Machine Learning skills is growing rapidly. The global market for machine learning is expected to grow from $12 billion in 2017 to $47 billion by 2022, according to research by MarketsandMarkets.

Machine Learning is an extremely powerful tool that has been widely used in many industries. It has been applied to areas like healthcare, finance, law enforcement, and even education.

Here are some of the best courses to learn machine learning online.

Best Online Courses to Learn Machine Learning

The 10 best online courses for learning machine learning are:

  • Udacity’s Intro to Machine Learning course
  • Google’s Machine Learning Crash Course
  • Andrew Ng’s Machine Learning course on Coursera
  • Stanford University’s Machine Learning course on Coursera
  • Johns Hopkins University’s Introduction to Data Science Course on Coursera
  • MIT’s Introduction to Computer Science and Programming with Python Course on edX
  • UC Berkeley’s Big Data Analysis with Scala and Spark Course on edX
  • UC San Diego Extension’s Python for Data Science Course on edX

EdX vs. Coursera vs. Udacity: Which One is Best?

The three major players in the MOOC space are Coursera, edX, and Udacity. All three of these companies offer different courses and degrees in a variety of subjects. There is no clear winner among these three companies.

Coursera is a for-profit company that offers many of their courses for free but charges a fee to get a certificate at the end of the course. They also offer paid degrees in subjects like business administration, computer science, and social sciences. Coursera has over 20 million users around the world.

edX is a non-profit organisation that partners with universities like MIT and Harvard to offer online courses from those schools for free to anyone who wants to take them. edX has over 11 million users around the world and offers online degree programs in subjects like computer science, business management, and biochemistry.

Udacity is a non-profit organisation that offers online degrees in computer science and other technical fields. Udacity has over 2 million users around the world.

Often times people ask, which is better for career Udacity or Coursera? Udacity offers a more detailed curriculum and career opportunities that would be unavailable to most people at Coursera. Udacity is also able to offer a more customised online experience with face-to-face mentoring, which helps students better understand the material they are learning.

Conclusion

Machine Learning is an area of Artificial Intelligence that is growing in popularity. It’s a branch of AI that deals with algorithms that can learn from data and make predictions. or decisions on their own.

Machine learning algorithms rely on training data to figure out patterns and make predictions. Training means that the machine will learn by looking at examples and deciding what is relevant, what is not, etc.

There are two types of machine learning algorithms: supervised and unsupervised. For an example of a supervised machine learning algorithm, we can look at spam filtering. You can train a spam filter to detect spam emails by showing it different emails and giving it instructions such as, what are the key words that this email contains?

Unsupervised algorithms do not need training data. These algorithms find patterns in the data themselves in some way and then make predictions from those patterns. For an example of unsupervised machine learning algorithm, we can look at image recognition. It is able to pick out specific images based on its own set of rules.

The best place to start learning Machine Learning is in the comfort of your own home with a free online course. It’s an interactive way to learn the basics and it doesn’t have any cost.

Artificial Intelligence (AI): A Game Changer for Digital Marketing

Undeniably, Artificial Intelligence (AI) has changed the way brands communicate with people. Real-time responses have become a thing. Besides, AI has completely altered the way marketing campaigns are managed.

If you are new to the concept of using AI in the digital marketing domain, this post can help.

Artificial intelligence actively helps businesses in: 

  • Coming up with effective digital marketing strategies
  • Enhancing campaigns, and 
  • Tripling returns on investments 

If you observe, you’ll realise there are already many AI applications we use, such as: 

  • Self-driving automobiles
  • Smartphones 
  • Smart lifestyle devices

There are various ways through which AI applications can support digital marketing. We shall talk about some of them in detail below.

AI in Digital Marketing

Artificial intelligence in digital marketing indicates how we can use this technology to: 

  • Drive more online sales
  • Improve customer experience, and 
  • Speed up and optimise various digital marketing tasks.

In the beginning, marketing professionals feared integrating AI in their digital marketing ventures. Soon, big names like Alibaba, Amazon, and eBay started using it. And they extracted incredible results.

AI Benefiting Different Businesses

Amazon was one of the first companies to have integrated AI into their digital domain. They designed a personalised recommendation system by using artificial intelligence.

This greatly improved the user experience. Their online customers started getting relevant recommendations based on their previous shopping preferences.

Similarly, AI has proved its importance for non-profit digital marketing as well. There are many ways non-profit online marketing campaigns can succeed with the help of AI.

For example, the AI-backed predictive analysis can help NGOs in:

  • Getting more positive responses to direct mails and emails
  • Boosting regular donation programs
  • Targeting donors with the right propensity 

By making AI an integral part of their non-profit digital marketing strategy, GreenPeace AU, Parkinson’s UK, and other NGOs have been able to:

  • Improve segmentation techniques to target potential donors.
  • Send the right message across to relevant segments.
  • Target more donors who are likely to respond to their fundraising campaigns.

Implementation of AI in Digital Marketing

Whether it is an NGO digital strategy or a normal one, AI can make a big impact. Here is how you can implement AI into digital marketing:

Chatbots

One of the best examples of AI in digital marketing is chatbots. Chatbots are computer programs. They use conversational AI to simulate conversation with a human user. It can be done via messenger applications, website chat boxes, and telephones.

Chatbots reduce the reliance on service agents with incredible cost-efficiency. Using rule-based language applications, they can engage customers. This, in turn, elevates the online shopping experience to a whole new level.

For example:

  • Quick Query Resolution: Chatbots can drive conversations with customers via live chat functions. Now, customers don’t have to wait for a service agent. They can get all their answers in real-time. 
  • Data Collection: Chatbots can collect more data from the users. In turn, they provide them with more relevant information.

It’s relatively common and a lot of brands have now used chatbots to up their marketing game. For instance, Sephora has launched a chatbot on its website that gives beauty tips.

Targeted Marketing

How do you get loads of suggestions based on previous searches? Well, that is also AI, using targeted marketing to upscale your search engine results.

It includes: 

  • Creating separate advertisements and marketing campaigns.
  • Targeting separate audiences based on their requirements.

For instance, you could have searched for “hockey sticks”. Later, you got tons of advertisements for hockey sticks from different brands.

So, if you’re wondering how to market non-profits, this technique can give you a good start. By using AI, you can:

  • Collect demographics of potential donors.
  • Send the right message across to a specific group.

Predictive Analysis

As they say, ‘data is the new oil’. It’s a precious asset that companies spend a considerable budget to acquire. They can come up with targeted marketing campaigns based on user data.

Now, think about adding AI to data analysis. What will it do?

  • It will take you beyond merely understanding customer behaviour. 
  • You can predict what the customer is likely to do in the future.

AI algorithms are extremely efficient and fast. So, you can throw in large data and its processed output will be available within seconds.

What’s so interesting about predictive analysis is:

  • They show customer behaviours.
  • Tell you the optimum product prices for better sales.

AI predictive tools will become an essential part of future marketing campaigns.

These tools can also improve a non-profit digital marketing strategy in the same manner. You can use them to know – for instance, how many donors can contribute to your upcoming event.

Content Generation

Can artificial intelligence produce content? Well, with some exceptions, it can!

News portals like Forbes, CNN, and AP are already using applications. For example, Wordsmith and Quill can generate content that increases their visitors.

Of course, AI can’t possibly come up with opinionated articles and columns. However, AI software can create reports and analyses. It can research tons of data to create informative content.

It can be time-saving and generate a lot of clicks on your website, driving way more traffic than before. But still, it’s too early to put all your eggs in the AI basket. It still lacks the element of creativity and human-friendliness of a professional copywriter.

Instead, hiring a professional content marketing service would be better. A professional service knows: 

  • When to leverage AI tools, and 
  • What tools can help you come up with the best content 

For example, tools like Grammarly, Hemingway Editor, and others can reduce content-generation time. These AI-supported tools can help you edit and improve an article written by a human.

Personalised Product Recommendations

Have you ever visited websites that asked for your specific information? Most of you did.

That is the AI talking, and trying to collect your relevant data. This is how it can provide you with personalised product recommendations.

Now think about the experience the first-time visitor will have when they get what they need. This way, the chances of them turning into regular customers are much higher.

AI-backed digital marketing helps you know a lot about your visitors:

  • Personal preferences
  • Likes and dislikes
  • Interests

Based on that, you can recommend products they will surely purchase.

Conclusion

As you have read, AI can play an integral part in the future of digital marketing.

  • It can go through millions of data units that a human can’t.
  • It offers various applications in the digital marketing domain.
  • These applications have been evolving with time.

So, we can expect more targeted results from AI-backed digital marketing.

The Rise of AI: Which Professions Are Going Extinct?

The rise of AI is inevitable. With each year that passes, it becomes more and more apparent that artificial intelligence will have a significant impact on our lives. It’s already begun to dominate numerous fields, and it’ll only get bigger from here.

So, which professions will be rendered obsolete by the advent of AI? There are many exciting opportunities with brands such as Woo Casino.

Data Entry

One of the most commonly cited examples of a profession that will be made extinct by AI is data entry. After all, if a machine can be taught to input data with 100% accuracy, why would we need humans to do it? Data entry is often seen as a low-skill, low-wage job – precisely the kind of job that is most vulnerable to automation.

Teachers

Teachers will not be replaced by AI, but their professions will undoubtedly change. With the introduction of educational technology, learning has changed in ways that were previously unimaginable. Students are increasingly learning through digital platforms rather than face-to-face from a teacher.

While this does not imply that teachers will cease to exist, it does indicate that their function will alter – likely becoming more focused on guiding pupils and less on teaching them.

Farmers

Another type of work that has been revolutionised by technology over the years is farming. While farmers will not be entirely replaced by robots anytime soon, precision agriculture, a form of farming that relies heavily on data and technology, is gaining in popularity.

This pattern is only expected to grow stronger as people demand more food and farmers search for methods to increase productivity.

Call Centre Operators

Customer care operators are frequently the first point of contact for a business and its consumers. The advent of AI is likely to have a significant impact on this field. Machines are already capable of taking customer service calls, and it’ll only be a matter of time before they can do so more effectively than people.

This would free up call centre workers to handle more complex responsibilities or risk being obsolete altogether. There are already existing chat bots  that can handle customer service questions faster than a human.

Surgeons

Surgeons will not be replaced by AI anytime soon. However, there are already   number of areas in which AI is being used to assist surgeons. For example, robots are frequently used to make incisions with greater precision than human hands. In addition, AI can be used to create three-dimensional models of patients that allow surgeons to plan surgeries more effectively. As technology advances, it’s likely that we’ll see even more ways in which AI can help surgeons do their job better.

Da Vinci Surgical System is an example of a robot that assists in surgery. The Da Vinci surgical system is a robotic-assisted surgery platform that enables physicians to perform minimally invasive operations. The system includes four robotic arms, a high-definition camera, and a console from which the surgeon may operate them. The purpose of the Da Vinci surgical system was to assist surgeons in completing sophisticated operations with increased accuracy and less invasiveness compared to a human-surgeon.

Salespeople

While it’s true that AI has already begun to replace salespeople in some industries, this is not likely to be a widespread trend. After all, sales is still very much a human-driven profession – it requires emotional intelligence and the ability to build relationships. However, it is possible that AI will increasingly be used for tasks such as generating leads and conducting market research.

These are just a few examples of professions that will be changed – or even made extinct – by AI. It’s important to stay ahead of the curve and keep up with the latest advancements in technology, as they’re sure to have a profound impact on our lives.