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  • Layoffs and shrinking job market: Is this the end of India's engineering dream?

    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
    11298
  • Artificial intelligence and privacy engineering: Why it matters NOW

    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: ZDnet
    9921
  • The things jobless engineers should do to get back into India's IT game

    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: QZ
    11319
  • When open source opens doors: Jen followed her curiosity to a career in software engineering

    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 Career
    8793
  • No jobs for engineers, MBAs: AICTE drawing up plans to solve problem

    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 Times
    14934
  • AI, data science and other fields Indian techies can skill themselves in to survive the IT bust

    Jobs involving artificial intelligence, machine learning, and big data have become mainstream of late.

    Source: Scroll
    11844
  • 1,200 IIT, NIT Graduates to Teach Engineering Students in Backward Areas: Prakash Javadekar

    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: News18
    10260
  • Daron Acemoglu on technology and the future of work

    "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 Edu
    9339
  • Samsung to hire 1000 engineers for research in AI, IoT, 5G in India

    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 Today
    12615
  • Why AI Needs a Broader, More Realistic Approach

    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: Wharton
    11754
  • The pros and cons of Artificial Intelligence

    ASU experts debate the merits, dangers of artificial intelligence, which has increasingly become part of our everyday lives

    Source: Asunow
    10620
  • 5 Career Paths in Big Data and Data Science, Explained

    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: Kdnugget
    23310
  • Understanding Feature Engineering: Deep Learning Methods for Text Data

    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: Kdnugget
    16413
  • What is the Role of an AI Software Engineer in a Data Science Team?

    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: TDS
    21102
  • 12 Useful Things to Know About Machine Learning

    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: HOB
    21330
  • The 10 Step Guide to Mastering Machine Learning

    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: HOB
    14109
  • Google Brings Machine Learning to Firebase with ML Kit

    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: HOB
    17814
  • India has the most number of data analytics jobs after the US

    If ever there was a gold rush for data scientist jobs, India would be ground zero - or almost.

    Source: HOB
    14685
  • Why Automated Feature Engineering Will Change the Way You Do Machine Learning

    Automated feature engineering will save you time, build better predictive models, create meaningful features, and prevent data leakage.

    Source: HOB
    16071
  • Why Automated Feature Engineering Will Change the Way You Do Machine Learning

    Automated feature engineering will save you time, build better predictive models, create meaningful features, and prevent data leakage.

    Source: HOB
    8886
  • Are you trying to acquire Machine Learning Skills? Let's Know How

    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: HOB
    9090
  • How can Companies Unshackle Data Science from IT?

    There are several ways companies can alleviate the pain and accelerate the data science transition, particularly as it relates to the IT department.

    Source: HOB
    14031
  • What I learned from My Artificial Intelligence Interview at AI & Start-Ups Companies

    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: HOB
    19116
  • Why Wait For Interviews To Know The Commonly Found Weakness In Data Scientist

    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: HOB
    17961
  • What's Role Defined an AI Software Engineer in a Data Science Team?

    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: HOB
    19416
  • How to Implement Automated Machine Learning Systems with Open Source Tools

    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: HOB
    18042
  • How Artificial Intelligence Powers Up The Testing Process?

    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: HOB
    7236
  • How Artificial Intelligence Powers Up The Testing Process?

    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: HOB
    16014
  • How Artificial Intelligence Powers Up The Testing Process?

    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: HOB
    5565
  • Are Programming Language Coders Themselves Out of a Job?

    When programming language coders automate their own duties, who should reap the benefits?

    Source: HOB
    61062
  • Know Which Tools Help Data Scientists To Improve Their Productivity?

    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: HOB
    19260
  • Kick Start Your Career In Data Science At Early Stages!!

    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: HOB
    17556
  • How DevOps Play Crucial Role For Data Science?

    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: HOB
    24432
  • Software Engineers Dominate The List Of Most In-Demand Tech Jobs In Silicon Valley

    Software, product, and QA engineers are among the 20 fastest-growing roles in the Bay Area, according to Indeed.

    Source: HOB
    10287
  • On Learning to Code & Programming Language (For 2019)

    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: HOB
    66582
  • Majority of women is less in science and tech! Why?

    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: HOB
    7029
  • Global Big Data and Data Engineering Services Market 2018 Research Strategies and Forecasts, to 2025

    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.html
    6591
  • Global Carbon Reinforced Engineering Polymer Market 2019- Recent Trends, Product Development and Forecast 2024

    The report includes production data, consumption data and revenue data across worldwide. The Market share and growth rate is also mentioned.

    Source: Market Research Explore
    3531
  • Global Automotive NVH Materials Market 2019: Nihon Tokushu Toryo, 3M, Covestro, Megasorber, STP, Henkel

    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 EXPLORE
    4668
  • Global Computer-Aided Engineering Market 2019- Industry Survey, Latest Trends in market and Future Forecast 2024

    The report includes production data, consumption data and revenue data across worldwide. The Market share and growth rate is also mentioned.

    Source: Market Research Explore
    5478
  • Global Scaffold-free Cell Culture Product Market 2019: Thermo Fisher (US), Corning (US), Lonza (Switzerland), Merck (Germany)

    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 EXPLORE
    5823
  • Why All Software Developer Hungry To Become Better End To End Software Developer Manager: Here 88 Point To Become

    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: HOB
    12717
  • What Is the Difference Between Computer Science and Software Engineering?

    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: HOB
    37494
  • Top 5 Tips For Cracking Your Software Developer Job Interview At All Company

    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: HOB
    10440
  • Why Data Science And Data Analytics Are The Major Need For All The Industries?

    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: HOB
    15624
  • Must Attend These 3 Leading Conferences On Artificial Intelligence and Machine Learning

    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: HOB
    11814
  • Earn More With these 3 Highly Paid Programming Languages

    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: HOB
    8889
  • How Professionals Command Enables The Technology Artificial Intelligence?

    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: HOB
    10947
  • Four Common Startup Engineering Mistake To Avoid

    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: HOB
    9135
  • Job Opportunities in the period of Artificial Intelligence

    If you are willing to go to the enterprises mainstream, artificial intelligence is the one.

    Source: HOB
    5853
  • Courses which every tech person can ENROLL through Multiple Universities Part 2

    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: HOB
    6432
  • Machine Learning and Artificial Intelligence passed down by Harness for 60$ million for Automating the Deployment

    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: HOB
    10641
  • Online courses are offered in Blockchain, AI, ML by some leading Tech Companies

    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: HOB
    10335
  • How easily you can clear a Technical Interview?

    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: HOB
    11058
  • How to choose the in-demand and highest paid career after Engineering?

    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: HOB
    5361
  • Data Scientist must adore these Data Science Books

    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: HOB
    7797
  • Start a Career in Machine Learning with these Books

    Here are some machine learning books which will give teach you an in-depth analysis of machine learning algorithms.

    Source: HOB
    13617
  • Chatbots might save businesses about $8 billion annually by 2022

    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: HOB
    8391
  • Explore the vast pool of IT Hubs and Tech firms in Principal cities

    As per the report, the top cities in the Asia Pacific who set up offices by technology companies are Bengaluru and Gurugram.

    Source: HOB
    5493
  • Perks Of Becoming A Big Data Engineer Highlighted In A YouTube Video

    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: HOB
    12546
  • A key to own a successful career in Data Science

    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: HOB
    13188
  • A key to own a successful career in Data Science

    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: HOB
    7086
  • Best Resources to learn Programming Language

    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: HOB
    6936
  • Easily Grab Programming Language from some famous Books

    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: HOB
    6873
  • Big Data Courses with Its famous Frameworks: Apache, Hadoop, etc

    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: HOB
    7215
  • Java Technical Interview: Tip and Tricks

    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: HOB
    5808
  • How to take challenges in learning machine learning?

    Machine learning is one of the fastest-growing areas of computer science, with far-reaching applications.

    Source: HOB
    6330
  • How Data Science books can be a benefit for the future?

    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: HOB
    5829
  • Ways to you enhance your learning through some famous Artificial Intelligence Books

    The term Artificial Intelligence has been around since the 1950s, but a lot has changed since then.

    Source: HOB
    5058
  • Data Science: Banking career options

    Data science already has a market revenue of $2.71 billion and it is expected to touch $20 billion marks by 2025.

    Source: HOB
    6039
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