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3 easy steps to become a Machine Learning Engineer

By CL -
0

Life can be rewarding if you make the most of it. The same goes for your career. You need to make the most out of your career to make it count for something. You need to work hard. Unfortunately, hard work alone is not enough to build a rewarding career. You need to be best prepared, have the best strategy, and pick the best opportunities available to be successful.

For those of you who want to start a career in Machine Learning but don’t know where to start, we have good news. In this blog post, we will explore the steps you should take to start a career in Machine Learning.

 

Pick a Certification that adds value to your career:

The first step you should follow to become a Machine Learning Engineer involves something as basic as picking the right certification for you. You need to pick a certification that is best suited to your needs, something that adds value to your career.

Instead of working on machine learning projects like “the titanic prediction model” that will not advance your career; look for Certifications in Machine Learning which give you relevant projects to work on. Working on such projects will acquaint you with real life office problems as you will solve actual problems that companies face using your machine learning skills. Such projects are highly significant because it stands as a hallmark of your machine learning capabilities and dramatically increases your chance of getting employed by top companies.

 

Get certified from a recognized institute:

When it comes to making decisions about the rest of your life, don’t compromise. You will find free courses on machine learning online, but at the end of the day, someone who is certified from a reputed institute is always chosen over someone who has picked up their skills over the internet. An online course may cost you nothing, but it will also add no value to your career prospects. Gambling with your career over a few thousand rupees is just not worth it. Get certified and do so from a recognized institute.

 

Start your job application:

You can’t become a Machine Learning Engineer if you don’t apply for jobs. Lucky for you, the job market is ripe for Machine Learning Professionals and finding a job in Machine Learning is as smooth as running hot knife through butter.

While finding a job as a Machine Learning Engineer has become effortlessly easy due to its soaring demand, it is smart to not just be certified, but to be certified and have internship experience. Having an  internship experience in machine learning would make your quest of becoming a Machine Learning Engineer ten times easier and sweeter.

 

So there you go. These are the 3 easy steps that you should take to start your career in Machine Learning. Take the first step by signing up for a Certification in Machine Learning today!

 

 

 

Gateway to International Career in Risk Management

By CL -
0

If you aspire to be part of one of the most lucrative careers in the world of finance, then getting certified in FRM (Financial Risk Management) is the best decision you can possibly take to elevate your professional career.

The FRM is a financial certification course offered by Global Association of Risk Professionals (GARP) that has been setting global standards at never-before levels for 20 years now. It has become just-the-thing for budding individuals who aspire to become a potential risk-management professional. The curriculum deals with quantifying all sorts of risks as it imparts knowledge involving risk-analysis, evaluation and mitigation and challenges candidates to apply a range of skills necessary to function effectively as a risk manager. Getting FRM certified will elevate your status to a designation that reflects an in-depth understanding of risk management which top organizations need to prosper in today’s dynamic financial landscape.

The scope of FRM in terms of knowledge and job prospects is immense in both India and abroad. The FRM is a qualification for risk management professionals, particularly those who are involved in controlling, analyzing, or evaluating potential credit risk, liquidity risk and market risk as well as non-market related financial risks.

With this certification, you will get the chance to work in some of the top firms in the world such as Goldman Sachs, UBS, Deutsche Bank, J.P. Morgan & Chase, Ernst & Young (EY), PricewaterhouseCoopers (PwC), KPMG, Credit Suisse, etc. Considering the level of fluctuation in the markets around the world, this is expected to be the most in-demand profession very soon.

The career prospects of an FRM Charter holder are quite next level. The top employers of risk managers are:

  • Investment Banks
  • Commercial Banks
  • Central Banks of Countries
  • Asset Management Companies
  • Insurance Companies
  • Credit Rating Companies
  • Government and Regulatory Agencies
  • Consulting Firms
  • Hedge Funds
  • Professional Service Firms

Jobs in the field of Risk Management: (source: indeed job portal)

  • 12000+ jobs in India
  • 148000+ jobs in USA

FRM charter holders enjoy the perks of high remuneration as well as financial incentives. Below are the average salaries of FRMs employed in India and USA:

Risk Manager’s Salary in India:

Firms Average Salary (INR)
American Express 23 lpa
ICICI 11.9 lpa
Wipro 28.4 lpa
JP Morgan 24.7 lpa
Citi Bank 10.6 lpa
Standard Chartered 12.6 lpa
Ernst & Young 16 lpa

**Source: Glassdoor**

Risk Manager’s Salary in USA:

Firms AverageAnnual Salary ($)
Bloomberg 168069
HSBC 136093
Selby 134045
Deloitte 131033
PwC 128674
Paypal 103061
JP Morgan 102134

**Source: Indeed**

To conclude, in this era of cut-throat competition and consistent value addition for corporate survival, an international certification like FRM® can help you beat the competition in style.

Join our online session to demystify the global career in Risk Management on Fri, 21 Dec 2018 @ 8 PM IST.

For more information on Career Launcher’s FRM preparation program, click here.

CBSE Class XII: Practical Examinations Schedule

By Team CL -
0
CBSE Class XII:Practical Examinations Schedule Released
CBSE Class XII:Practical Examinations Schedule Released
 

The Central Board of Secondary Education (CBSE) has released the schedule for Class XII Practical Exams. They are usually conducted between January 16 and February 15 every year. There remains no change this academic year, except for the schools in Prayagraj, where, due to Kumbh Mela, the Exams will commence from January 1.

In its circular, the CBSE has directed schools to finish the Practical Exams for skill-based subjects and other academic subjects, for which there are only a handful of students, before the first half of February. The reason being, the Board Exams for these subjects are scheduled for the latter half of the month.

The Practical Exams will be conducted daily in two sessions if the number of candidates is more than 20. The marks will be uploaded by the schools on the day of the examination itself. There will be an external examiner in each instance.

The schedule of the Board Exams is expected to be released shortly. It will be posted here as soon as it’s released. In the meanwhile, do read our articles on how to score 90+ in CBSE Boards Maths and English.

If you have any query, please write to us in the Comments section below; and we will get back to you shortly.

 

Written Ability Test (WAT) for IIMs

By CL -
0
 

 

WHAT IS WRITTEN ABILITY TEST (WAT)?

Written Ability Test (WAT) is conducted with the supreme mission of testing/analyzing the writing ability of a candidate in the grounds of expressionism, grammar, thought projections, efficiency of conclusions, and more. While normal essay writing gives you the leverage of adding foreign sentiments, WAT on the other hand, requires strict adherence to the topic given.

WHY WRITING ABILITY TEST (WAT)
  • Most IIMs have replaced Group Discussion with Written Ability Test (WAT) to enhance the space for laying down individual thoughts, and to help express it better.
  • The test goes on somewhere between fifteen-minutes to about half-an-hour.
PREPARING FOP WRITTEN ABILITY TEST (WAT)
  • Preparing for WAT has become crucial because of the fact that many other top management schools other than IIMs have begun to switch to WAT from Group Discussion (GD).
  • WAT topics varies, but some of the broad topics which can be expected are current happening topics such as: present Indian economy, business and commerce, social issues, national news, etc., (please refer to the section below for more)
  • Because of WAT time limit, practice/try to write a polished content of 300 to 400 words in 20 minutes or less.
  • Given the variability of topics, dress your preparation with all past topics/possible topics to have maximum leverage on your side.
  • Keep up with the news channel/newspapers/world news/media/online articles/etc., to stay aware and updated about all things current.
  • While practicing the art of weaving smart lines, avoid overly colorful words to keep it simple, and on track.
  • Practice the art of writing the negative points in a neutral tone to avoid coming out too aggressive.
  • Stay away from errors like wrong punctuation, unreadable handwriting, statement terms/derogatory terms, and alike.
  • Write a vibrant opening, crisp & informative middle, and a brilliant conclusion i.e., brilliant summarizing.
WRITING ABILITY TEST (WAT) TOPICS

Writing Ability Test (WAT) topics are versatile. It can be anywhere from social issues to current political picture to stocks and markets and more. The previous year’s WAT topics (2018 WAT) consisted of many traditional but vibrant topics such as Union Budget, demonetization, Make in India, GST, budgets of different ministries, and more.

To give a brief view as to what kind of topics should one expect, few past WAT topics asked by IIMs and other top B-schools are mentioned below in no particular order.

  • Railway Budget
  • How social are social networks?
  • How beneficial is Indo-US relation for India?
  • Digital India
  • Climate Change Summit Paris
  • Imagination is more important than knowledge.
  • Human Resource in India
  • Demonetization

 

If you have been wondering what is the next step after CAT exam, start with GDPI/WAT preparation.

For information on Career Launcher’s GDPI program, click here.

 

 

Disclaimer

Career Launcher (CL) bears no liability over the information provided in this article.

 

What after CAT?

By Nomi -
0

‘What in the world am I supposed to do now?’ I think this question runs like liquid post the almighty CAT exam. Well, good news is we’re all in the same boat. It’s normal to panic or experience likewise sentiments after the exam. And that is why we shall, together, go through some basic yet immediate post-CAT steps such as GDPI, professional mentoring, etc., for a clearer and calmer sense of direction.

START THE GD/PI/WAT PREPARATION ENGINE: 

The very concrete belief is that if someone scores a brilliant percentile of 99 and above, not even gods can halt your bus from entering the top B-schools. But there are always loop holes (in this case, the interview/WAT rounds) that needs to be taken care of and this is where you should think twice. In fact, one may even argue that preparing for the GD/WAT/PI round demands vehement dedication and twice the effort than the actual CAT exam preparation. So, that being said, start the GD/PI/WAT preparation engine because ‘time is of the essence’ has never sat truer for CAT candidates. Walk proud that you excellently cleared the CAT exam, please do, but to dodge being a fool’s gold, a solid marriage between ‘you’ and ‘full-on soft skill preparation’ must happen. You know what they say: today’s hard work determines tomorrow’s victory.

RIGHT MENTOR TO SHARPEN YOUR SOFT SKILLS:

Ever heard about legends making it to the top on their own? If you think that happened, you are in need of a deeper dig. Even legendary bands like “The Beatles” had their personal mentor and Guru, Guru Maharishi Mahesh Yogi to guide and hold their hands throughout their iconic journey. The importance of finding the right mentor to sharpen your soft skills as part of your post CAT preparation is as crucial as preventing the ice caps from melting due to global warming. You can always have a nice conversation with your reflection in the mirror, but when the stakes are really high, i.e. your entire career, professional aid must not and cannot be optional. Seek guidance, be it an institute, be it a friend, uncle, father, mother, brother, sister, doesn’t matter, if they are in the ground of the professionalism you seek, you must reach out and get the additional expert push that you need, to ace the WAT/GD/PI round.

STAY IMMUNE FROM BIASED CHOICES:

You’re not wrong for eyeing the shiniest apple on the tree. Hey, we all want the best in life, and it’s completely fine to have such feelings run beneath our skin. Now, what isn’t attractive is having yourself wedded to one corner, sitting resistant to a change of heart or mind because of your initial thoughts and genesis plans, after all, a healthy change of mind is but a sign of growth. The absolute perk of having a brilliant percentile score is getting calls from top b-schools like the IIMs, IIFT, XLRI, and more. Yes, there’s always that one school which continues to be the eye candy, but are you naive enough to limit your chances to just one? There’s no damage in going for different institutes’ interview. As a matter of fact, you’re only sharpening your intellectual blade. Keep wishing, on your knees praying, to get into your dream school but leave the optional gates open just enough for your plan-B to fall through, heaven forbid, should plan-A crumble.

 

Roots are the key to any mountainous achievement. Having your basics solid and knowing it like the back of your hand will mold the rest of the new adventures that awaits you. These points/tips are a starter pack for MBA aspirants who have already given their CAT exam and are waiting for the next season to air. Because limitations are part of being human, remember to hold your imperfections and weaknesses countable but not against, so you learn to turn them into your strengths.

 

For more information on Career Launcher’s GDPI program, click here.

How to Score 90+ in CBSE Board English Exam

By Team CL -
0
Score 90+ in CBSE English
Follow these simple strategies and see your marks in English improve by leaps and bounds.
 

English, the only compulsory subject across the various streams and classes, is also a high-scoring one. Although CBSE Board English seems easy, it is important to understand that one cannot gain mastery over it in a few days (or weeks). It can only be done over a period of time!

The CBSE Board English paper for Class 10 is divided into four sections: Reading, Writing, Grammar, and Literature & Long Reading Texts. To get high marks in the paper, you will need to score well in each of these sections.

Now, let us take a look at an ideal study plan for these sections, individually:

Reading

The first section of the paper, it comprises unseen passages. The most common—and effective—way to improve reading-comprehension is by reading an unknown passage and summarizing it point-wise. Read everything you can find; and before long, you will find yourself gaining a stronghold over this section. While reading, keep a check on the time spent on a passage, and in solving all the questions associated with it. Ideally, not more than 10–12 minutes should be spent on a moderately difficult passage.

Note down the words whose meaning you are not aware of, and look them up in a dictionary. This will help improve your vocabulary.

Writing

In this section, questions based on letter writing, formal letters (complaints/inquiry/placing orders/letters to the editor), articles, applications, etc., are asked. To improve your skill, regularly practice writing compositions. This will help form a clear idea about what you are going to write; and how to structure the composition before you start writing it. Make sure you stay within the word limit.

Read up on the general topics covered in these types of questions (questions on article writing are usually based on prevalent social issues), so that you are fully prepared if these are asked in the exam.

Grammar

This section tests your knowledge—as well as your application—of tenses, modals, use of passive voice, subject-verb agreement, reporting (commands and requests, statements, questions), clauses, determiners, conjunctions, articles, and prepositions. The questions asked are mostly objective type, in the form of sentence correction, fill-in-the-blanks, or editing. So, when you revise the concepts of basic grammar, give special emphasis on their usage.

Literature & Long Reading Texts

Questions on long reading texts are usually in-depth and can be asked from any part of the chapter. Hence, it is important to be familiar with every nook and corner of the chapters. In the case of poems, for example, you should have complete clarity about the context and the deeper meaning. Character sketches are common questions; so, it would be wise to work on sketches for the main characters(at the very least) well in advance.

Ideally, on the day before the English exam, most of your preparation time should be devoted to the Literature section. Go over all the stories, poems, and plays once. The remaining time can be spent on the formats of the questions in the Writing section. As for the Grammar and Reading sections, there is little to be gained by studying these on the last day. Your preparation for these sections should be completed well in advance.

Follow these strategies, and boost your chances of scoring a 90+ in the CBSE Board English Exam! You may also be interested in reading about tips to score a 90+ in CBSE Board Maths.

Best of luck!

If you have any queries, write to us in the Comments section below; and we’ll get back to you shortly.

New India Assurance Company Ltd. (NIACL) Administrative Officers (AO) (Generalist and Specialist -Scale I) Notification 2018

By CL -
0
NIACL Notification 2018

 

The New India Assurance Company Ltd. (NIACL) Administrative Officers (AO) (Generalist and Specialist -Scale I) Notification 2018 has been released.

Number of Vacancies

The total number of vacancies released by NIACL are 312

Discipline
Total
SC
ST
OBC
UR
                   PwBD
HI VI OC ID/MUL
Company Secretary 2 0 0 0 2
Legal 30 4 3 7 16 1
Finance & Accounts 35 4 3 8 20 1 1
Generalists 245 29 20 59 137 3 2 2 4
Total 312 37 26 74 175 4 3 3 4

 

UR: Un-reserved; SC: Scheduled Caste; ST: Scheduled Tribe; OBC: Other
Backward Classes. PwBD: Persons with Benchmark Disabilities; HI: Hearing
Impaired; VI: Visually Impaired; OC: Orthopedically Challenged; ID: Intellectual
Disability Mul: Multiple Disabilities

Important Dates

On-line registration and payment of application fees 10th – 26th Dec 2018 (both dates inclusive)
Phase-I Online Examination (Objective) 30th Jan 2019
Phase-II Online Examination (Objective + Descriptive 2nd Mar 2019

 

Education Qualification (as on 1.12.2018)

Generalists: A candidate must possess the minimum qualification of a
graduate/post graduate in any discipline from a recognised University or any
equivalent qualification recognised as such by Central Government with at least
60% marks in either of the degree examination for General candidates and at
least 55% marks for SC/ST/PwBD candidates.

Specialists: A candidate must possess the minimum qualification as follows. The
qualification should be from a recognised University or any equivalent
qualification recognised as such by Central Government

Discipline Minimum Qualification
Company Secretary ACS/FCS from ICSI and Graduation/Post-graduation in any discipline with min 60%
Legal Graduate/Post-graduate in Law with min 60% (55% for SC/ST/PwBD)
Finance & Accounts Chartered Accountant (ICAI) and Graduation/Post-graduation in any discipline with min 60% (55% for SC/ST/PwBD)
Or
Cost and Management Accountant (The Institute of Cost Accountants of India, earlier known as ICWAI) and
Graduation/Post-graduation in any discipline with min 60% (55% for SC/ST/PwBD)
Or
MBA Finance/PGDM FINANCE* with min 60% (55% for SC/ST/PwBD)
Or
M.COM with min 60% (55% for SC/ST/PwBD)

 

Age (as on 01.12.2018)

Minimum Age: 21 years Maximum Age: 30 years, as on 01.12.2018
i.e. a candidate must have been born not earlier than 2nd Dec-1988 and not later than 1st Dec-1997 (both dates inclusive)

Link for the Notification:

https://www.newindia.co.in/cms/d0468c0e-105f-4b95-bf16-8663aa637630/Detailed%20Advertisement%20for%20the%20Recruitment%20of%20312%20Administrative%20Officers%20(Generalists%20and%20Specialists)%20(Scale%20I)%202018.pdf?guest=true,

 

“If you want to be redundant, ignore Machine Learning” says Satya Narayanan, Founder of Career Launcher.

By CL -
0

 

Exciting is the future that awaits us. The age of technology has reigned, and Career Launcher’s CEO, Mr Satya Narayanan, is optimistic about the future that Machine Learning will bring. We are already transitioning to a tech-driven future where machine learning is playing a vital role. That being said, getting skilled in machine learning may seem like a really good idea. In fact, Satya encourages everyone to get skilled in machine learning, after all Machine Learning is the future and you don’t want to get left behind.

 

“Machine Learning can be magical. It can enhance productivity and the reach of a company like Career Launcher”

 

A thriving businessman, Mr Satya Narayanan is the founder of one of the biggest education companies in the country, but this is not slowing him down anytime soon. What distinguishes him is his vision for the future, and his constant eagerness to learn. “I have already started learning python” He says, adding with a cautionary note that, companies who don’t adopt machine learning will die out, as they will most likely fail to compete in today’s market.

 

“Data is the new oil; machine learning is the new combustion engine. To win the race, you have to drive this new car that is machine learning”

 

Reminiscing the golden days, He says “I am inherently a strong believer in technology and the potential of technology. I bought a computer with all my savings back in the 90’s when computers were still in its very primitive stages. What I have built today would not be possible had I ignored the power of computers. What computers were to the 20th century is what machine learning is to the 21st century. It’s a revolution and we are all a part of this revolution”.

 

“Machine Learning is not just part of your survival kit. It is your winning kit.”

 

When asked if a CEO today should introduce machine learning in the workplace, Satya responds, “As a CEO, you have to have one leg in tech, and one in business. You can’t run one without the other. A successful business today is one which focuses on both aspects equally”. He goes on to say that a CEO has to take the initiative to bring about a culture change. An employee reports to the managers who then reports to the CEO and hence, it is simply a push from a CEO that can bring about this cultural change.

 

“As a CEO, you have to have one leg in tech, and one in business”

 

Satya says “As a CEO, founder, entrepreneur, I can say with confidence that the most paranoid guy today is the CEO. But if he wants to enhance his market success and shareholder wealth, He has to accept machine learning hands-on”. He further goes on to say that “machine learning is not just for the IT guys or the CTO. It’s for everyone. If we embrace machine learning into our everyday thinking, introduce it in managing, we can be a top class company”.

 

“In today’s world, if you want to enhance your company’s market success and shareholder wealth, you have to adopt machine learning hands-on.”

 

On being asked, if the advent of machine learning will potentially make certain jobs irrelevant, He says “Of course. If people don’t up-skill, they will become redundant. Why do you think CXOs are losing their jobs in 1000s today? It’s because they are not keeping up with the trending skills of the time. Why do you think most CTOs today are 23, 24 year olds? It’s because they have the skills that matter. In today’s world, if you don’t adopt machine learning, you will lose your job. You career is at stake”.

 

“If you don’t adopt machine learning, you will lose your job. Your career is at stake.”

 

He goes on to say that “Every decade, you will see an employment shift. Some jobs go obsolete and new jobs take its place. Every few years, you need to up-skill. For instance, back in the day, we had to wait in long queues at the bank, where the “teller” was employed by the bank to deal with a customer’s transactions. Today, we have internet banking, and the profession of a “teller” no longer exists. You can’t be a teller in the 21st century and demand to be paid for a job that has now become obsolete”.

 

“Every decade, you will see an employment shift. Some jobs go obsolete and new jobs take its place. Every few years, you need to up-skill”.

 

Wrapping up, Satya says “The ability to imagine how we can conjure and develop new technology and solutions makes human potential that much more magical. Machine Learning is the next big thing. The ideal goal is to use human ability to make machines work for us. The minimum goal today is to at-least be data smart, and to have the ability to answer questions using data. From sales professionals to managers to CXOs, everyone needs to get skilled in machine learning”.

 

“The minimum goal today is to at-least be data smart and to have the ability to answer questions using data”.

 

 

Machine Learning is for everyone say employees at Career Launcher

By CL -
0

Can Machine Learning be taught? Should Career Launcher start a program in machine learning? Is it too early to get into the business of teaching machine learning?  If not, what should be the right timing? Or the right approach? Will this be a fruitful venture? Will we get fruitful responses?

 

These are some questions that we have been grappling with for some time now. Our interest in launching Machine Learning Programs has been brewing for a while now, and we wanted to get to the bottom of our dilemma to find some answers. Should Career Launcher take on the challenge of launching Machine Learning Programs was a question that has plagued us and yet kept us inspired to keep on pushing. As an institution that thrives on a culture of risk taking and innovation, we knew that we had to come up with practical solutions.

 

The result? We developed an in-house machine learning workshop to gauge our success and failures and we have been working our way to perfecting our courses on Machine Learning ever since.

 

On a sunny day in the morning of November 16, 2018, Career Launcher held its one-of-a-kind machine learning workshop which lasted a whole day. A pool of employees with different backgrounds – both technical and non-technical was invited to join this workshop. At the end of the workshop, we brainstormed ideas, discussed what we learned, and then followed it up with a one-to-one interview with those who had attended the workshop. The response we received was overwhelming. Read on to know what our CL Family has to say about machine learning.

 

Arjun Wadhwa, CFO at Career Launcher, who has a working knowledge of coding had said:

“My knowledge/familiarity with ML was initiated by the video which was shared with us and accentuated by the tests we were asked to do. I got all of them right. So I had a sense of what to expect at the ML workshop and I believe that my expectations were met.”

 

On being asked what these expectations were, He said:

 “I came to learn at the ML workshop and I believe I have learned a lot”

 

Zainab Gauhar, Head of online business at Career Launcher, who, unlike our CFO, had zero working knowledge with coding was quite confident after the workshop ended. On being approached, she had very interesting things to say about the Machine Learning workshop. Zainab said:

 

“The Machine Learning workshop helped me overcome my fear. I was terrified when I came for this workshop, not knowing what to expect. Being from a non-tech, non-engineering background, I thought learning machine learning was not my cup of tea, but I don’t feel this way anymore. I think anyone and everyone can and needs to learn machine learning”

 

On being asked the sensational question: “Can Machine Learning be learned by someone who is from a non-engineering or a non-IT background?”,  Zainab said:

 

“Yes, If I can, anybody can. Only a one day workshop was enough to convince me that to learn Machine Learning is within reach. It is easy to learn with practice. In fact it’s the need of the hour. Everyone should learn machine learning”

 

On being asked the possible use and application of machine learning, Zainab said:

“If I master the art of machine learning, I will use this skill to spot a pattern in the sales that the company makes and then use this data to map out a strategy as I will know what works and what doesn’t”

 

Shaambhavi Pathak, a content strategist with GK Publications, was elated after the machine learning workshop. She even looked for Machine learning courses online right after the workshop ended. Shaambhavi said that:

 

“I had no idea that machine learning could be so interesting. Before the workshop, I had a very rudimentary understanding of what ML is, and frankly, despite working with tools like python before, I did not think I could learn machine learning. This changed after the Machine Learning workshop.”

 

On being asked if machine learning is something that could be learned by someone from a non-technical background, Shaambhavi said:

 

“Yes, I think everyone can learn machine learning and this can be easily done in 3-4 months. A coder or an engineer might take less time. All you need to do is brush up on your maths and statistics and then build up on that knowledge which isn’t all that difficult if you really want to learn machine learning. If you have the interest, you are already halfway in”

 

It is feedback like these that have encouraged Career Launcher to passionately pursue our dream of launching programs in machine learning. The groundwork had been laid way before, and the feedback that followed our Machine Learning workshop reinforced the idea that Yes, it can be done. We are ready to teach Machine Learning.

 

We, at Career Launcher are confident that just like all our other ventures, our Machine Learning Programs will be a success. It is the good will of all our students and the 20 years we have enjoyed in the education industry that has made Career Launcher the brand that it is today. We want to do justice to our newly launched ML Programs and to all our future students who may have an interest in learning something new.

 

Will Machine Learning make current jobs obsolete?

By CL -
0

Of late, certain assumptions have been made regarding the threat that machine learning will potentially pose in the future. One such assumption is that Machine Learning will render most jobs obsolete. Is there a sound reason for such concerns? Or is this just our wild imagination getting the better of us? In short, is it fact or is it fiction?

 

Given the proven usefulness of Machine Learning in today’s world, it is tempting to assume that it can solve every problem and that it may someday replace human jobs altogether. “Will the growing relevance of AI and machine learning take away our jobs?” is a question that is provoking new-found insecurities in us that we never knew we had, up until now.

 

In the long run, the growth of technology at such unprecedented rates as is experienced today will certainly make some jobs less relevant, but it is also bound to create new jobs. Machine learning has already started creating new business opportunities, such as improving customer experience with predictive maintenance, and offering suggestions and support to business decision makers.

 

According to WEF’s “The Future of Jobs Report 2018”, by the year 2022, roles that are significantly based on and enhanced by the use of technology such as Data Analysts and Scientists, Software and Applications Developers, and E-commerce and Social Media Specialists, are among the range of established roles that will experience increasing demand.

 

According to the findings of the same report, there is extensive evidence of accelerating demand for a variety of wholly new specialist roles related to understanding and leveraging the latest emerging technologies such as AI and Machine Learning Specialists, Big Data Specialists, Process Automation Experts, Information Security Analysts, User Experience, Human-Machine Interaction Designers, Robotics Engineers, and Blockchain Specialists, etc.

 

This goes on to demonstrate that while we may not run out of jobs; we will most certainly need to up-skill. The need to up-skill will potentially create a skill gap, and companies are likely to either re-train their current employees to up-skill them, or hire new employees who already have the desired skills. Some might even turn to freelancers to meet this skill gap for a short period, but the bottom of the matter is, everyone will need to up-skill to keep up with the changing trends in the job market.

 

To conclude, the advent of Machine Learning may not make all current jobs obsolete right away, but it will certainly make some jobs more relevant and some jobs less relevant. The winds are shifting and it is in favor of a future that smiles on professions that have a more technology-driven focus. The need of the hour is to up-skill and to quickly keep up with a future that is yet to be.

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