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Quiz on AI and DS - II was a blast!

🚀 Today’s Quiz Was a Blast! 🚀 We’re super excited that 119 students took part in the AI & Data Science II Quiz — a cool collab between the Department of INFT and the SFIT NDLI Club ! 🎉 And here’s the best part — everyone who participated will get certificates from IIT Kharagpur . That’s a great way to show off your skills on your resume or LinkedIn! But this isn’t just about certificates. These sessions actually give you stuff you can use: ✔️ Get hands-on with AI and Data Science topics that actually come up in real projects ✔️ Sharpen your problem-solving with quiz questions that challenge you — no boring textbook stuff here! ✔️ Meet and learn with people who are just as curious and passionate about tech as you are ✔️ Learn in a chill, fun environment — way better than just staring at slides or books At SFIT, our faculty are working hard to bring back the library culture — one step at a time . The library isn’t just shelves of books; it’s becoming the go-to place fo...

Thematic Books Display - Data Science and Artificial Intelligence - 4th July 2022

 

Books on Data Science in our Library

B27206  ANALYTICS IN A BIG DATA WORLD: THE ESSENTIAL GUIDE TO DATA SCIENCE AND ITS APPLICATIONS     By BAESENS, BART NEW DELHI/WILEY INDIA/2014 005.74 BAE   B26162  CORE PYTHON PROGRAMMING -2nd. ed.    By RAO, R. NAGESWARA NEW DELHI/DREAMTECH/2018 005.133 RAO     B24667  BIG DATA AND ANALYTICS     By ACHARYA, SEEMA/CHELLAPPAN, SUBHASHINI NEW DELHI/WILEY INDIA/2015 005.74 ACH/CHE     B23315  TOO BIG TO IGNORE: THE BUSINESS CASE FOR BIG DATA     By PHIL, SIMON NEW DELHI/WILEY INDIA/2013 005.74 PHI     B22963  HADOOP IN PRACTICE     By HOLMES, ALEX NEW DELHI/DREAMTECH/2013 004.36 HOL   MEB1175  HANDS ON DATA SCIENCE AND PYTHON MACHINE LEARNING: PERFORM DATA MINING AND MACHINE LEARNING EFFICIENTLY USING PYTHON AND SPARK     By KANE, FRANK MUMBAI/PACKT/2017 005.74 KAN     M EB1169  APPLIED PREDICTIVE AN...

Why demand for math skills is surging in the technology world

Till about a decade ago, if you specialised in mathematics, you would end up being a teacher or a researcher. That has changed dramatically. Specialists in the field in India are now among the most sought after in the financial and technology world. Many of today’s leading digital technologies – artificial intelligence, machine learning, data science, big data, cyber security – need strong foundational knowledge of mathematics. “Data science is based on three skill sets – a background in math or statistics, exposure in computer science, and business or domain knowledge,” says Ashok Kalidas, head of data science & innovation at research firm Kantar’s analytics practice. “Where a math graduate adds value is in the ability to understand the mathematics behind the models and innovate on top of that.” Kalidas says AI and deep learning solutions can be implemented using software, but you need mathematics to understand the inner workings of these solutions. “A mathematics graduate will be...

AI Boom In India: AICTE Will Launch B.Tech In AI; IBM Will Create AI Curriculum For Class 12th

As per the reports coming in, the All India Council for Technical Education (AICTE) has approved Bachelors of Technology(B. Tech) course in Artificial Intelligence (AI) and data science to fulfill the requirements coming for AI skills from different sectors,as informed by Anil Dattatraya Sahasrabudhe, AICTE chairman Chennai on Saturday. Another report is coming from Bengaluru wherein the Central Board of Secondary Education(CBSE) has also announced for the addition of AI as an elective subject for students of classes 9 -12. Why AI And Data Science? Recently a news came from Public Sector Banks like SBI, IDBI hiring for specialized skills . According to analysts, there is a constant requirement of skilled workforce across all sectors and some of these positions remain vacant because of a lack of skilled manpower to fill these positions. India stands among the top 5 countries in the world when it comes to AI-driven startups as the future prediction for 2025 , most products will use this...

A Review Of Google's Colab And CoCalc for Collaborative Data Science

As part of my on-going series on  learning data science  and reviewing the latest tools, I ended up needing to work on data analysis with people in different countries. While big companies have their own internal tools for sharing code among teams, there were less available for students and freelancers. Fortunately, two such tools,  Google Colab  and  CoCalc , are emerging to help data scientists collaborate online ( Disclosure, I am a contractor with the tech policy nonprofit, Tech4America ).  Google's Colaboratory (Colab, for short)  began  as a research project with makers of the popular online programming notebook, Jupyter. The  features  have recently ramped up, as machine learning and other data science needs have become more commonplace. Read the full article at: https://www.forbes.com/sites/gregoryferenstein/2019/08/18/a-review-of-googles-colab-and-cocalc-for-collaborative-data-science/#7c6878a46f02  (Accessed on Aug...

Five Factors Shaping Data Science

As data science evolves, key challenges are driving organizations to seek innovative solutions to compete in the new AI-driven economy. Five Factors: 1. Making data actionable for data science 2. Shortage of data science talent 3. Time-to-value must accelerate 4. Business users need transparency 5. Improving the operationalization process To read the full article, please visit: https://www.informationweek.com/big-data/five-factors-shaping-data-science/a/d-id/1335387  (Accessed on August 16, 2019)

What Skills Do Data Scientists Need

There is currently a huge demand for data scientists, which is a top-trending job with attractive salaries. But what are the skills and tools that employers are looking for. It's a few years since we asked  What is a Data Scientist and How Do I Become One?  The answer given back in 2015 is still valid as a starting point: Similar to a business/data analyst, data scientists combine knowledge of computer science and applications, modelling, statistics, analytics and math to uncover insights in data . But what does this mean in terms of the skillset a data scientist should acquire. The question  How to Become More Marketable as a Data Scientist  has been tackled by the research team at  CV Compiler , a company which provides guidance on creating a convincing resume to developers and others in the software industry. For an analysis of the   s kills required by data scientists the CV Compiler team looked at 300 Data Science vacancies from StackOve...

How data sciences enable life-long learning

Today, corporates often talk of  ' life-long learning'. Just the college degree isn't enough- the future of work is about up-skilling every few years. Over the last few years, companies helping people become life-long learners have started up. While some create the content themselves, others curate it. One company that has built a next-generation enterprise learning product is Degreed. The company connects employees in an enterprise to learning resources such as courses, videos, articles, books, and podcasts among others; it assesses the skills one has and those that would be required for a chosen domain. Business Today recently spoke to Chris McCarthy, Chief Executive Officer of Degreed, to understand how the company curates content and measures skills. Turns out, technology and data play a crucial role.     "We collate the history of what an employee did in the company or outside. We collect every data point we can find about an individual- it can be in the h...

Should Data Scientists Offer Their Skills For Free?

Data Science is one of those domains that is growing at a breakneck speed. However, the industry is in the need for more skilled professionals. Being a vast domain, the number of professionals is less compared to other technology domain. This also means that if you are you are a data scientist, you are in high demand and you are a part of a community of people who has the superpowers of extracting meaningful insights out of scattered data. However, there is a question that has emerged in the world of Data Science — while experts from other technological fields are offering their skills for free to the ones in need, should data scientists also do the same? The answer is something that cannot be flagged as a ‘no’ or a ‘yes’ as it completely depends on the person. So, there are a few points we would like to put out why and why not it is okay for data scientists to work for free. To read the full article, please visit:  https://www.analyticsindiamag.com/should-data-scientists-o...