Even as the government targets the social sciences, it is encouraging the growth of engineering colleges - despite the fact that engineering jobs (particularly in IT) are shrinking, in India and abroad.
Source: Hindustan Times
6078
The growth of AI and large data sets pose great risks to privacy. Two top experts explain the issues to help your company manage this crucial part of the technology landscape.
Source: ZDnet4377
Whether you're fresh out of engineering college or a few years into your career, all the bad news surrounding India's IT industry is understandably a cause for concern.
Source: QZ6078
Software engineer and tech lead Jen Bourey has a lifetime love of learning to credit for her career path. "I've always been into math and science," she says. "I was one of those kids who was happy when I found a dead bug; I'd run to my room and put it under my microscope."
Source: Google Career3795
AICTE official says this is the first time that such a perspective plan is being prepared for technical education to provide better placement opportunities to students
Source: Hindustan Times9900
Jobs involving artificial intelligence, machine learning, and big data have become mainstream of late.
Source: Scroll6693
The initiative is part of the Technical Education Quality Improvement Project (TEQIP-III) for improving the quality of engineering graduates at a cost of Rs 2,300 crore, to be implemented during the three-year period till 2020.
Source: News185139
"We need to look to the past in the face of modern innovations in machine learning, robotics, artificial intelligence, big data, and beyond," says the economist.
Source: MIT Edu4530
Samsung would enlist 1000 engineers from premium institutes in India for its three research and development facilities in India. The recruits will work on artificial intelligence, machine learning, 5G, and more new age domains.
Source: Business Today7467
The concept of artificial intelligence (AI), or the ability of machines to perform tasks that typically require human-like understanding, has been around for more than 60 years. But the buzz around AI now is louder and shriller than ever.
Source: Wharton6924
ASU experts debate the merits, dangers of artificial intelligence, which has increasingly become part of our everyday lives
Source: Asunow5568
Are you looking to get a real handle on the career paths available in "Data Science" and "Big Data?" Read this article for insight on where to look to sharpen the required entry-level skills.
Source: Kdnugget13404
Newer, advanced strategies for taming unstructured, textual data: In this article, we will be looking at more advanced feature engineering strategies which often leverage deep learning models.
Source: Kdnugget10830
I recently joined the Enterprise Insight Studio team at Accenture's global centre for innovation in Dublin as an Artificial Intelligence (AI) Software Engineering.
Source: TDS13521
This is a summary of 12 key lessons that machine learning researchers and practitioners have learned include pitfalls to avoid, important issues to focus on and answers to common questions.
Source: HOB13134
Artificial intelligence (AI) and machine learning are transforming the global economy, and companies that are quick to adopt these technologies will take $1.2 trillion from those who don't.
Source: HOB8850
Google have recently introduced ML Kit, a machine-learning module fully integrated in its Firebase mobile development platform that is available for both iOS and Android.
Source: HOB12111
If ever there was a gold rush for data scientist jobs, India would be ground zero - or almost.
Source: HOB6081
Automated feature engineering will save you time, build better predictive models, create meaningful features, and prevent data leakage.
Source: HOB6702
Automated feature engineering will save you time, build better predictive models, create meaningful features, and prevent data leakage.
Source: HOB3825
Embarking on a journey through the lands of machine learning? Here are few important lessons like Feature Engineering, Model tuning, Overfitting, Ensembling etc. which you should keep in mind along the way.
Source: HOB4110
There are several ways companies can alleviate the pain and accelerate the data science transition, particularly as it relates to the IT department.
Source: HOB8379
Over the past 8 months, I've been interviewing at various companies like Wadhwani Institute for Artificial Intelliegnce, Google's DeepMind, Microsoft, Ola, Fractal Analytics, and a few others primarily for the roles-Data Scientist, Software Engineer & Research Engineer.
Source: HOB8868
Without recognizing our weak points, we'll never be able to overcome them. If modern job interviews of Data Scientist have taught us anything, it's that the correct answer to the question. "What's your biggest weakness" is "I work too hard." If we never admit our deficiencies, then we can't take the steps to address them.
Source: HOB12312
I recently joined the Enterprise Insight Studio team at Accenture's global center for innovation in Dublin as an Artificial Intelligence (AI) Software Engineering.
Source: HOB5808
What if you want to implement an automated machine learning pipeline of your very own, or automate particular aspects of a machine learning pipeline? Rest assured that there is no need to reinvent any wheels.
Source: HOB9585
Testing is a vital process that guarantees customer satisfaction within an application and helps in safeguarding against potential failures that may prove to be detrimental down the line. It is a planned process where the application is assessed and analyzed under certain conditions to understand the overall threshold and risks involved in its implementation. Thus, it is quite evident that the key to streamlining software testing and making it more smarter or efficient is Artificial Intelligence.
Source: HOB1491
Testing is a vital process that guarantees customer satisfaction within an application and helps in safeguarding against potential failures that may prove to be detrimental down the line. It is a planned process where the application is assessed and analyzed under certain conditions to understand the overall threshold and risks involved in its implementation. Thus, it is quite evident that the key to streamlining software testing and making it more smarter or efficient is Artificial Intelligence.
Source: HOB8739
Testing is a vital process that guarantees customer satisfaction within an application and helps in safeguarding against potential failures that may prove to be detrimental down the line. It is a planned process where the application is assessed and analyzed under certain conditions to understand the overall threshold and risks involved in its implementation. Thus, it is quite evident that the key to streamlining software testing and making it more smarter or efficient is Artificial Intelligence.
Source: HOB1485
When programming language coders automate their own duties, who should reap the benefits?
Source: HOB53862
With the manifold of data science tools in the market, it is certainly a rising challenge for you as a data scientist or a blooming data scientist to sort out the best ones.
Source: HOB6240
To start your career in Data Science just after completing your higher studies, Finding companies that are willing to take a chance on a younger candidate will be an inevitable filter luckily, several great companies are willing to engage with undergraduates. I evaded this artificial barrier by interning as a data engineer, and working on infrastructure related to the data science team. This gave me valuable insights into the day-to-day efforts of a data scientist.
Source: HOB11748
DevOps involves infrastructure provisioning, configuration management, continuous integration and deployment, testing and monitoring. DevOps teams have been closely working with the development teams to manage the lifecycle of applications effectively.
Source: HOB12633
Software, product, and QA engineers are among the 20 fastest-growing roles in the Bay Area, according to Indeed.
Source: HOB3897
In the last 5 years, there has been a push for people to learn to code, Programming Language and pursue software engineering as a career. Taking a look at Google Trends, you can see the growth begin around 2012.
Source: HOB55539
When a women move to opt for engineering, the first question is Why? Is it the right path for your career? There are several questions which are asked by people. There are very fewer women in these fields. Only 20% of the women hold this job but why there is such a huge gap? Why does it matter that this career will only be held by men? We have few clarifications to these questions.
Source: HOB2565
Global Big Data and Data Engineering Services Market by Service Type (Data Modeling, Data Integration, Others), Business Function, Organization Size, Industry, Region, Global Industry Analysis, Market Size, Share, Growth, Trends, and Forecast 2018 to 2025.
Source: https://www.fiormarkets.com/report/global-big-data-and-data-engineering-services-market-362226.html855
The report includes production data, consumption data and revenue data across worldwide. The Market share and growth rate is also mentioned.
Source: Market Research Explore441
Get a complete insight into the worldwide automotive NVH Materials Market in our Global Automotive NVH Materials Market Report. Starting from Monetary Contribution, Impact on the Economy, Types of Product/service, Key players and many more.
Source: MARKET RESEARCH EXPLORE648
The report includes production data, consumption data and revenue data across worldwide. The Market share and growth rate is also mentioned.
Source: Market Research Explore774
Get a complete insight into the worldwide Scaffold-free Cell Culture Product Market in our Global Scaffold-free Cell Culture Product Market Report. Starting from Monetary Contribution, Impact on the Economy, Types of Product/service, Key players and many more.
Source: MARKET RESEARCH EXPLORE459
The end-to-end Software Developer is a Software Engineer who can take an idea and make a successful business out of it. From the definition, it is clear that it is not for everybody and many people will have some specializations and gaps in skills. And it is normal.
Source: HOB6291
It is common in the software domain to hear terms such as computer scientist, developer, programmer, software engineer, computer engineer and many more. From my experience, I have noticed there are two terms that people often confuse
Source: HOB22800
What's the difference between a good software developer interview and a great one? I am an ex-software developer, turned coach and entrepreneur. For the past 4 years, a substantial part of my role in the companies that I helped consisted of finding and hiring quality software developers to create great teams.
Source: HOB3156
Data science has revolutionized the technological world. We all are aware of the term data science that there is definitely something in data science that sets it apart and make being a data scientist one of the best jobs of the twenty-first century.
Source: HOB4224
If you really want to get insight into these latest technologies like artificial intelligence and machine learning than you must attend these following conferences.
Source: HOB3240
So today this video will give you a glimpse of the top three programming languages. Top to be the easiest programming languages to learn and the reason why?
Source: HOB1821
To allow AI to help experts make better decisions and answer critical questions about engineering specifications, the AI solution first needs to learn how to leverage the knowledge coming from the expert.
Source: HOB2148
Beware these engineering mistakes for your early stage software startup. Startup engineering is different from any other type of software engineering. It demands short- and medium-term productivity, relative to the "right way" of building systems.
Source: HOB1515
If you are willing to go to the enterprises mainstream, artificial intelligence is the one.
Source: HOB1281
In Part 1, I have already discussed some of the courses related to Programming, Engineering, Computer science, and social science and rest courses related to science, personal development and many more will be in Part 2.
Source: HOB1212
Harness, a B2B startup founded by Jyoti Bansal and Rishi Singh, has raised $60 million in Series B funding led by IVP, Google Ventures (GV), and ServiceNow Ventures.
Source: HOB1503
How do you study for a field that's changing all the time? Software engineering graduates from three years ago have to start from scratch when it comes to aspects of artificial intelligence, blockchain, machine learning, and robotics.
Source: HOB4305
To get a job is not tough; to get a good job is what one is always after. In such tech times, when the hiring at reputed organizations is at an all-time high, getting a good job is as difficult as it was a few years ago.
Source: HOB1266
Engineering and its career both are not so easy as it looks like. Choosing a course is also difficult given the number of programs and fields to explore in engineering.
Source: HOB831
Whether you just want to stay informed in the data craze or you're looking to kickstart your data science or data literacy journey, this article features a list of books.
Source: HOB1683
Here are some machine learning books which will give teach you an in-depth analysis of machine learning algorithms.
Source: HOB1743
Password reset link has been sent to your mail
Thank you for your registration has been Successfully done.
