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
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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: ZDnet9984
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: QZ11355
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 Career8829
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 Times15012
Jobs involving artificial intelligence, machine learning, and big data have become mainstream of late.
Source: Scroll11889
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: News1810341
"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 Edu9381
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 Today12651
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: Wharton11817
ASU experts debate the merits, dangers of artificial intelligence, which has increasingly become part of our everyday lives
Source: Asunow10653
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: Kdnugget23406
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: Kdnugget16464
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: TDS21174
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: HOB21432
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: HOB14190
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: HOB17871
If ever there was a gold rush for data scientist jobs, India would be ground zero - or almost.
Source: HOB14766
Automated feature engineering will save you time, build better predictive models, create meaningful features, and prevent data leakage.
Source: HOB16122
Automated feature engineering will save you time, build better predictive models, create meaningful features, and prevent data leakage.
Source: HOB8964
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: HOB9168
There are several ways companies can alleviate the pain and accelerate the data science transition, particularly as it relates to the IT department.
Source: HOB14097
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: HOB19257
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: HOB18021
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: HOB19548
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: HOB18105
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: HOB7284
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: HOB16071
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: HOB5616
When programming language coders automate their own duties, who should reap the benefits?
Source: HOB61134
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: HOB19347
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: HOB17610
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: HOB24543
Software, product, and QA engineers are among the 20 fastest-growing roles in the Bay Area, according to Indeed.
Source: HOB10374
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: HOB66699
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: HOB7071
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.html6645
The report includes production data, consumption data and revenue data across worldwide. The Market share and growth rate is also mentioned.
Source: Market Research Explore3573
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 EXPLORE4710
The report includes production data, consumption data and revenue data across worldwide. The Market share and growth rate is also mentioned.
Source: Market Research Explore5520
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 EXPLORE5898
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: HOB12771
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: HOB37608
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: HOB10521
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: HOB15738
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: HOB11922
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: HOB8952
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: HOB11010
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: HOB9204
If you are willing to go to the enterprises mainstream, artificial intelligence is the one.
Source: HOB5913
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: HOB6507
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: HOB10713
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: HOB10398
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: HOB11145
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: HOB5391
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: HOB7845
Here are some machine learning books which will give teach you an in-depth analysis of machine learning algorithms.
Source: HOB13674
As per the business intelligence, Chatbot will be used by the 80% businesses which are applications that engage in interactive conversation using natural voice or text by 2020.
Source: HOB8454
As per the report, the top cities in the Asia Pacific who set up offices by technology companies are Bengaluru and Gurugram.
Source: HOB5541
A world where 2.5 quintillion bytes of data is produced every day a professional who can take all these enormous resources and provide the frameworks for a business solution is indeed a hero. In this module, we are going to talk about how to become a big data engineer before we begin we talk about the role and description.
Source: HOB12621
Prepare for your Data Science Interview with this full guide on a career in Data Science including practice questions which will be of great benefit for your future.
Source: HOB13260
Prepare for your Data Science Interview with this full guide on a career in Data Science including practice questions which will be of great benefit for your future.
Source: HOB7131
Here are some of the best courses, books, and tutorials of Programming language which will help you to master programming languages with a certified place and help you to get in-depth knowledge.
Source: HOB6987
Just as natural pearls grow from grains of sand that irritate oysters, programming pearls have grown from real problems that have irritated real programmers. Some books to enhance your career in Programming.
Source: HOB6909
Interested in increasing your knowledge of the Big Data landscape? This course is for those new to data science and interested in understanding why the Big Data Era has come to be.
Source: HOB7260
A technical interview is the most crucial round out of the whole recruitment process. Although there are many other rounds before the interview like a written test and a group discussion in some cases, the interview is the most feared one.
Source: HOB5853
Machine learning is one of the fastest-growing areas of computer science, with far-reaching applications.
Source: HOB6369
Discover how data science can help you gain in-depth insight into your business the easy way. Jobs in data science abound, but few people have the data science skills needed to fill these increasingly important roles.
Source: HOB5880
The term Artificial Intelligence has been around since the 1950s, but a lot has changed since then.
Source: HOB5130
Data science already has a market revenue of $2.71 billion and it is expected to touch $20 billion marks by 2025.
Source: HOB6099
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