2018 was a great year for AI and data science in India. For us the year has been monumental in terms of audience growth and visibility. Our traffic increased four times from last year. And a lot of it has to do with the extra hours and efforts that the whole team put throughout the year in our various endeavors. Here are our stories that did well.
Our 10 Most Read Stories of 2018
- Cognizant’s Sudden Layoff Is A Lesson Why IT Professionals Should Future-proof Their Jobs ASAP
The news of 200 director-level executives being laid off this year by Cognizant gave many techies the chills. The extreme step was taken to align Cognizant’s talent pool to the newer digital requirements. The company let go of employees who reportedly “could not adjust” to the current technology environment and failed to add new skills in the rapidly growing new tech space such as analytics, artificial intelligence, machine learning, mobile computing, cybersecurity and others.
- 6 Types of Artificial Neural Networks Currently Being Used in Machine Learning
Artificial neural networks are computational models which work similar to the functioning of a human nervous system. There are several kinds of artificial neural networks. These type of networks are implemented based on the mathematical operations and a set of parameters required to determine the output. Let’s look at some of the neural networks:
- 7 Types of Classification Algorithms
The purpose of this research is to put together the 7 most commonly used classification algorithms along with the python code: Logistic Regression, Naïve Bayes, Stochastic Gradient Descent, K-Nearest Neighbours, Decision Tree, Random Forest, and Support Vector Machine
- 14 Most Popular Presentations On Artificial Intelligence And Machine Learning On SlideShare
The most popular presentations are the ones that have received the most number of likes and have been viewed more than the other presentations in a particular category. AIM brings you the 14 most popular presentations on Artificial Intelligence, Machine Learning. Deep Learning and everything else in between.
- 9 Internships You Should Apply For Right Now To Get A Jump Start In Your ML Career
Internships are a great place if one has to start in this glamorous field of machine learning, to know one’s capability, skills, interest, before getting into an organisation full time and dedicating your entire self for the work of machine learning. Here is a list of top current internships in organisations in the area of machine learning in India.
- 11 Popular Data Science Projects For Aspiring Data Scientists
For an aspiring data scientist, it is imperative that he/she does more than just acquiring a specialisation in data science. Creating projects and providing innovative solutions, arms an aspiring data scientist with the much needed edge to propel his/her career in data science.
- Top 10 Programming Languages For Data Scientists to Learn In 2018
With the ever increasing developments, it becomes essential for developers to constantly be learning new skills to stay relevant. But if you are a beginner looking to choose the best programming language to add to your skill sets, the task is the more difficult. Given the fact that every project may demand different set of tools and functionalities, it makes the road to picking right programming language to learn strenuous.
- 5 Machine Learning Job Opportunities At Google That You Can Apply For Right Away
The engineers at Google extensively use machine learning, which is evident from developments in Chrome, Android, YouTube, and more. Here we bring 5 such machine learning opportunities for varying work experience, from fresher to five years.
- Which Is The Best Laptop For Machine Learning and Artificial Intelligence?
To have a personal machine for the projects you have in mind, one needs to choose between mobility of their machine, that is, if they want to carry it around – a laptop. Or a machine for training the algorithms alone – a customized desktop at home or work.
- Here Are Free AI Learning Resources For Beginners
While YouTube videos remain the main learning source and a key starting point for beginners, there is a slew of resources, especially books that can help cement fundamental concepts.
Our Most Popular Research & Studies for 2018
Analytics India Magazine brings you the annual list of the top data scientists in India, for the fourth year in a row. We have been identifying the ingenious minds in the world of data science and analytics who are also driving the innovations across various industries in India. From building analytics team to bringing newer processes in the working, the data scientists listed here have been instrumental in changing the face of the organisation.
We bring to you the analytics and data science training institute ranking for the year 2018. As a part of the study we reached out to 20+ institutes that are offering training in the area of new tech. We sent out a Google form to the participants that were sorted for eligibility based on these two criteria: 1) They should have multiple programs in analytics and data science, 2) The flagship program not to be a long duration.
A primary survey was conducted in August through September 2018, where 961 current and past students from 18 cities in India gave opinions on data science courses they attended. Out of these entries, few dozens in-depth interviews were done to understand the reasons for the submissions. This exercise helped in validating the data and providing a rationale for the rankings, wherever required.
Here is the fresh list of 10 startups in artificial intelligence and machine learning that are leading the race in the year 2018. These startups come from different backgrounds, such as providing AI services to healthcare, banking, fintech, diagnostics and HR, among others.
Listing 10 such emerging analytics startups in India, we bring a comprehensive list of startups that are offering exceptional solutions to the data driven organisations. It presents a detailed picture of the startups in terms of its founding team, solutions they offer, growth story, employee strength, funding and others.
Analytics India Magazine has compiled a list of 20 most prominent academicians in the industry who have contributed immensely in the analytics, artificial intelligence and data science education sector.
We recently conducted a survey on what do students look in a data science course, and we got some interesting results. The result suggested that from programme construct, brand value to cost, there are a lot of factors that students have in mind before picking the analytics and data science course.
As part of the annual ranking process, Analytics India Magazine brings you this year’s Top 10 AI Courses in India, which would help freshers, analytics professionals and data scientists choose the best programme to upskill themselves in the industry. This is the second year of successfully conducting and presenting the study to the AI community.
Analytics India Magazine recognises 10 influential leaders that are constantly bringing newer paradigms in the areas of analytics, artificial intelligence, machine learning, big data, across varied domains.
Analytics India Annual Salary Study aims to understand a wide range of current and emerging compensation trends in Analytics & Data science organisations across India. The idea is to provide a reference point on key aspects around analytics salaries in India and potential future HR trends.
Editors Pick – 10 Favorite Stories
Here, we will go through the specifications required for building a small scale system for deep learning applications at your place. We will also look at why a high-end CPU cannot be compared to a low-end GPU when it comes to computing data parallely.
In a move that signals the death of Hadoop and that the open-sourced software is no longer a key part of big data vendor’s strategy, two rival companies Cloudera and Hortonworks jointly announced a merger. They also announced a definitive agreement under which the companies will combine in an all-stock merger of equals.
Andrew Ng is a hero and a role model for everyone who is starting the machine learning journey. One of his earliest Machine Learning courses saw lakhs of students enrolling and getting a huge boost to their careers. He is now back with a course in Deep Learning specialisation supported by his company Deeplearning.ai.
There are several success stories in the Indian analytics sector. But only seldom has one come across as unique one as that of Ankush Bhandari from IMS Proschool. He began his career as a provider of tiffin services in Pune and changed his career 360-degrees to that of a noted data scientist in the community.
From startups to established players, Python remains one of the most sought after skills that these companies are looking in data science and analytics professionals. Despite being one of the oldest programming languages in the slot, it remains one of the most relevant, apart from being the most interactive, dynamic and versatile languages of all.
Although, the number of patents in ML are observing a rise among technology companies, the challenges in filing patents cannot be overlooked. This calls for ML patents to be a topic of debate with critics arguing and providing varied reasons on both the good as well as bad sides of it.
It occupied more than 1,900 sq ft, needed about 18,000 vacuum tubes to work and the total weight of the machine was almost 50 tons. This is the description of the world’s first digital computer.
If you have been following the recent high-profile appointments in the artificial intelligence and machine learning industry, you would have noticed a distinct uptick in theoretical physicists snagging top positions in companies like Samsung AI R&D and Fetch AI. In fact, the trend of moving from a background in theoretical physics and maths to machine learning is gaining ground with PostDoc researchers, since there is a crossover of functions.
Artificial Intelligence has taken much inspiration from biology and nature. Geoffrey Hinton, the British cognitive psychologist and computer scientist, also cited the human brain as the primary motivator for his work in neural networks and the backpropagation of error algorithm.
Though we have made a modest beginning and have allocated $480 million to promote artificial intelligence, machine learning and IoT this year, but when it comes to research, have you ever wondered where does India stand? And can it actually counter China?