CL is excited to announce that Intel is our hardware and software partner for all of our data science programs. We are also proud to announce that our programs are the only data science programs endorsed by AICTE.
I learnt new skills which I expect will allow me to apply to my business through outside agencies, it will help me ask the right questions to move from "brick and mortar" to "click and muster.
In India, it is a healthy time to absorb the Industry 4.0 phases like AI, ML, Block Chain, Data Science, IoT, etc. AICTE is now stressing upon to spread this information across the country. First, we need to develop the confidence among our teachers in these areas, and then only the knowledge can be transferred. Thus, we are partnering with CL Educate Ltd, who has really helped us train on these subjects.
It was a very nice session organized by AICTE and CL Educate Ltd. We learnt a lot. The way Sujit sir and his team described Alexa with a live practical session was awesome. Actual machine learning implementation was discussed in practical terms, which is rarely done in such workshops.
We can split AI and ML as a very important course in our curriculum; and this type of workshop is just a start. If we have this type enthusiastic workshop and create similar culture among our other faculties, students, etc., then India will become No.1 in AI & ML very soon.
Great workshop! A must for every business leader wanting to use ML-AI/Big data in their organization.
The workshop is one of the most effective ways of learning more about ML and the way Sujit and Mythreya covered it was exceptional. This was more a small preview into ML but turned out to be detailed as well. based on my experience I would recommend this to any decision maker in business.
Great learning experience. Never thought that I can also learn ML and use it.
I am happy to recommend Career Launcher ML Workshop to senior executives and operational leaders across a range of businesses. ML and AI will impact all in ways that were hitherto not possible. As the revolution takes place, their program provides the perfect blend of theory and practice.
This workshop has opened my sensibilities viz a vis the data amassed and the volume of data generated by my company; specifically how to use, analyse and interpret the same.
This is an excellent "Getting from Zero to One" in ML/AI for business leaders. There should be an advanced workshop as a follow up.
Excellent programme - gives one a glimpse of the potential of ML/AI
There are several Machine Learning Projects that can be attempted by Beginner to get a better feel of the subject.
These are some of the best Machine Learning Projects for Beginners as they give a good idea to the participants about what exactly their job as Machine Learning Engineers would be. It can act as the boost they require to dive deep into the topic and emerge into greener pastures.
Machine Learning is one of the fastest growing fields today and one of the better known applications of Machine Learning is Artificial Intelligence. The idea behind Machine Learning is that on providing data to a machine, it can learn and develop on its own without any manual programming- an unseen force bringing waves of changes; shaping the present, the future, and the job market. The applications of Machine Learning are extremely diverse and it has penetrated into our lives in many ways. Today, we’re aware and unaware of it at the same time because of its massive yet swift impact. There are some disruptive applications of Machine Learning which most people would be aware about but there are some more subtle applications of Machine Learning which people may not be aware about. Because of this rapid technological progress, the demand for Machine Learning Engineers is increasing rapidly. The content below discusses the various applications of Machine Learning that are transparently impacting our daily lives:
One of the best known and widespread applications of machine learning is the AI virtual personal assistants. The smart devices are now taking over the guidance and assistance of our actions replacing the traditional activities of an assistant. Some of the popular Machine Learning based personal assistants that are taking the world by storm are Alexa, Google Now, and Siri. These advanced technology-based assistants have almost seamlessly become a part of our lives and made it simpler.
Google Maps has emerged as one of the most widely used technology of today’s age. It is ‘the’ app that everyone uses to make travelling to unfamiliar places possible. This is one of the applications of Machine Learning where Google utilizes vast amounts of data from the GPS as well as data about factors like traffic, distance, time, direction, etc. to build an accurate model of route that one must take to travel between places in the minimum amount of time.
Social Media is also one of the applications of Machine Learning with immensely popular platforms like Facebook now using automatic face detection/ image recognition through their proprietary Machine Learning-based technology named DeepFace. The DeepFace project by Facebook is one of the most formidable examples of the applications of Machine Learning. The many other ways where ML is applied are the Automatic Friend Tagging Suggestions, Automatic Tags, Alternate Tags, and more.
The applications of Machine Learning in marketing and sales have revolutionized the marketing world. Machine Learning can analyze the customer’s purchase history and lists similar products which may interest the customer as is common practice in E-Commerce today. Machine Learning has made it easier to plan for promotions and manufacturing cycles through analysis of past data and recognition of trends which may not have been visible to the human eye.
Amongst the most advanced innovations of modern technology, the self-driving car is one of the most interesting and intriguing. The functioning of automated cars entirely depends on Machine Learning. The algorithms of machine learning algorithms are used to determine the self-driving car challenges/variables such as car directions, speech and gesture recognition, language detection, etc.
In an age where the world is becoming a marketplace, the need for determination of the right pricing is crucial. While there are many strategies for pricing, the key is to find the main objective. Hectic market competitions call for a dynamic pricing and the application of Machine Learning enables the designing of competitive pricings by analyzing the buying and selling activities in the market.