Thanks to the media, most of us are aware of the promise and the potential of AI. We even have a somewhat good idea of what it is being used for today. But as the development of artificial intelligence progresses, AI is no longer something that we can just appreciate from afar. While AI is expected to one day be able to replace all of our jobs, the more immediate impact is in its ability to analyse and bring meaningful insights and predictions from the vast stockpiles of data available to companies today. The sub domain of artificial intelligence that deals with this field is machine learning. The biggest differentiator going forward for businesses will be in their mastery of the possibilities and limitations of machine learning.
We are currently offering the following programs in CL DataSchool:
This is a course is for students who have some machine learning fundamentals in place to become an expert in machine learning and neural networks and ready for a promising career in machine learning and artificial intelligence.
6 Weeks Starts Feb 2019
Optional Internship Interview preparation
The machine learning retreat is a place for top executives (CXOs, VPs, directors, business owners, etc.) from a diverse set of companies to get a practical introduction to machine learning.
Luxury beachside hotel, Goa
The machine learning programs by CL ensure the you are industry ready and confident for the rapidly changing industry landscape of today and prepared for the future. In addition to machine learning expertise, CL offers placement support and interview preparation along with an internship guarantee for the three month programs in Data Analytics and Machine learning. We believe the hands on learning in the course along with the industry relavant experience gained in the intership give the best exposure to students and ensure preparedness for jobs in the future.
In addition to machine learning, students who are not from a programming background will get a fast track course to learn the fundamentals of programming as required by machine learning and data science professionals.
CL has a 20 year history of making career dreams come true. Our focus is on the enabling and building career prospects. Unlike the other available online machine learning courses, our courses are classroom oriented and hands on. We offer placement assistance and internships along with the three month courses to ensure that students are exposed to industry relavant problems and ready for a career in machine learning or data analytics.
Thanks to the media, most of us are aware of the promise and the potential of AI. We even have a somewhat good idea of what it is being used for today. But as the development of artificial intelligence progresses it is no longer something that we can just appreciate from afar. While AI is expected to one day be able to replace all of our jobs, the more immediate impact is in its ability to analyse and bring meaningful insights and predictions from the vast stockpiles of data available to companies today. The sub domain of artificial intelligence that deals with this field is machine learning. The biggest differentiator going forward for businesses will be in their mastery of the possibilities and limitations of machine learning.
Unlike other innovations in the past, being on top of the machine learning revolution is not as straightforward as having machine learning specialists in every company. Everyone will need to be well versed in the application of machine learning. Just as one cannot in this day and age function without being able to read and write, in tomorrow’s world machine learning will become the new literacy. According to the World Economic Forum1, over half of the jobs in the world will be impacted by artificial intelligence in the next five years and many of those people will need to be reskilled.
Along with the great advances of machine learning came the democratization of machine learning. A vast array of powerful tools are available for everyone and they are free to use free to take apart, learn from and improve upon. It is now easier than ever before to get your toes wet in machine learning. No longer is it solely the domain of the upper echelons of mathematicians and computer scientists. Not only can anyone learn machine learning, everyone should learn it.
The bar of entry to become proficient in machine learning is surprisingly low. You can start today with a knowledge of grade school mathematics, a computer and a willingness to learn.
Should I learn Online ? While online learning is the dominant platform to learn machine learning today, it’s not for everyone. While many, including our in house data science team have learnt from online courses, we feel it is inferior to the experience of classroom coaching. One needs a very strong drive to complete an online course as evidenced by the very high dropout rates among the viewers of Andrew Ng’s videos. There is also little to no recourse for doubt clarification if you are stuck with something.
There are many applications of machine learning to sales roles. For example machine learning can be used to interpret and gain meaningful insights from customer data. Having a data driven understanding of your customer base is gives your company an edge in making marketing decisions as you can know what your customers want with data rather than intuition. Forecasting is another sales task that is falls squarely in the domain of things machine learning excels at. Given enough data, machine learning models can make very accurate sales forecasts with little human intervention or effort. Sales communication is another forte of machine learning as many simple to moderately complex enquiries about sales or promotions can be handled by AI chatbots or machine learning enabled email reply bots leaving the humans to handle the more creative and complex tasks. Machine learning can also be employed to track the discussions and opinions of your brand on social media and even make intelligent responses to maintain a positive atmosphere around the brand.
There are a number of HR functions that can either be enhanced or done entirely by AI. Attrition detection is one of the most important functions of HR, understanding why employees stay at or leave a job is a good job for machine learning. Given the data, machine learning algorithms may find patterns and insights into employees decisions that HR professionals may overlook. This data can then be used to make corrections in HR policies. Processing prospective employees is another major task. It requires HR professionals to dig through a vast number of CVs to find the right candidate. Often times the best candidates get offers elsewhere before you can get a chance to see his or her resume, so speedy turnaround times are also necessary. Machine learning algorithms make combing through large number of resumes an easy task so you can get the perfect candidate before everyone else.
Definitely! While a background in mathematics or programming will no doubt be an invaluable asset to a data scientist, one does not need it to apply machine learning to their businesses. The most essential ingredients in becoming a good data scientist are creativity and a mastery of the data.