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Top 3 Books on Wealth Management
Top 3 Books on Wealth Management

Wealth Management refers to a type of service offered by a number of finance firms in the industry. This is a high-level professional service, which primarily, is a combination of investment advice as well as financial advice, accounting, tax services, retirement planning, legal planning and so on. Various investment firms are known to offer these services, to a distinguished class of clients, who work with a single wealth manager, who then is responsible for coordinating input and advice, from both the clients as well as industry experts and supplying them with the same. Wealth Managers, those professionals who work in this field are also equipped with skills, that enable them to provide banking services as well as investment advice on various philanthropic activities. This field is known to encompass a certain individual’s whole financial life and getting all their financial needs taken care of, by one certain professional.

The field of wealth management has gone on to gain quite a lot of popularity because the clients here are mainly high net worth individuals. A number of finance aspirants, interested in the field of investment banking, choose to get trained and achieve the skills required to master this lucrative field. Institutes like Imarticus Learning are known to offer the best, industry endorsed professional courses in wealth management, among other branches of finance. While getting trained, in accordance with the industry standards is necessary, it is also important to refer to comprehensive books from time to time, which provide extensive knowledge on the subject of wealth management.

Here’s a list of the top 3 books on Wealth Management

Wealth Management: The Financial Advisor’s Guide to Investing and Managing Client’s AssetWealth Management: The Financial Advisor’s Guide to Investing and Managing Client’s Assets, by Harold Evensky

The process for developing an effective, optimal asset allocation policy designed to account for each client’s goals as well as constraints, is effectively explained in this book. This book outlines a wealth management program, which begins with client education, risk tolerance evaluation and continues with optimization and finally concludes with implementation, which is done by multiple money managers. The best attribute of this book is that the program outlined herein, is more focused on the client, as opposed to investment.

 

Wealth: Grow It, Protect It, Spend It and Share ItWealth: Grow It, Protect It, Spend It and Share It by Stuart E. Lucas

This book is cited as the most important read, by a number of experts in the wealth management industry. Essentially dealing with the management of assets, this book fits right in, with the modern times, where a lot of money is being generated by professionals, as compared to the earlier times; this is exactly why planning your retirement and allocation of your resources is extremely important and this book sheds light on exactly that.

 

 

The Wealth Management Index: The Financial Advisor’s System for Assessing & Managing Your Client’s Plans and GoalsThe Wealth Management Index: The Financial Advisor’s System for Assessing & Managing Your Client’s Plans and Goals by Ross Levin

This book being cited as a landmark literary work presents the Wealth Management Index, which is an innovative tool for financial advisors, in order to quantify their client’s success in financial planning. This book is known to offer financial advisors, the various guidelines, and strategies, in order to determine their clients’ needs and provide the best suitable advice.

 

 


 

 

Imarticus Learning offers various courses in Wealth Management, with placement opportunities in India’s leading Wealth Management banks.

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The Most Important Concepts to Keep In Mind When It Comes To Big Data in HR
The Most Important Concepts to Keep In Mind When It Comes To Big Data in HR

The phenomenon that is well known as Big Data Science has literally gone on to spread all over the globe in a similar fashion as that to a raging wildfire. The world of business and commerce has remained no stranger to this concept and field and in fact has embraced it more than any other. Big Data has been the catalyst in some of the most remarkable discoveries, especially in the field of HR. While the technical aspect dictates that the various valuable insights provided by big data have made for amazing growth and development of a number of firms, it has also helped a number of HR managers in targeted recruitment as well as employee enhancement. As a professional in the HR industry, regardless of the position, there are a certain number of things and concepts that one has to abide by. As surprising as it may sound, it has been proven recently that these few concepts still hold great value and importance, especially when it comes to big data in HR.

The first basic thing, that all HR professionals need to remember, is the massive difference that there is between “story telling” and “story selling”. This is basically only in the context of how a professional perceives a certain data set. It is important for these professionals to be able to distinguish between a very neutral interpretation of data and on the other hand, a data set that is used to derive a certain expected solution. This skill becomes very important in a market, where every vendor and seller is out there to promote their business solutions, entirely on the basis of data and numbers. When faced with numerous such vendors, it holds in positive stead for you to be a little skeptic.

Impact of Big Data on Different Risk TypesAnother basic concept here is not confusing correlation to causation, which is the one of the primary attributes of statistical analysis. This simply put in layman terms, goes on to state that just because two things are related to each other, it does not mean that they are also the cause of each other. This is very important especially in the world of Human Resources, because HR services are most often related to positive business results. This would only be possible, when the professionals are able to realize the difference between certain variables, that can actually cause similar kind of impact, thus statistically stating the connection between the various HR activities and profitability. The most basic trick to know here, is when you would not require causation at all, when only correlation would be enough to provide the required results. While these days, the data is very much required by the HR professionals, in order to determine the correlation and causation, as well as, evaluation of results and making the decisions. It is also important to know when and how the sample size, taken into account is sufficient.

Thus we can infer that HR is soon becoming the latest avenue for all the data scientists out ther to test their abilities. There is no surprise hence, in the increasing popularity of various institutes. Imarticus Learning, provides excellent professional training in a number of data analytics tools like R, SAS, Hadoop and so on.

 


 

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3 Skills to Master Before You Turn 30
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Brief About Financial Modeling
Brief About Financial Modeling

Financial Modeling, as a career option has recently come in to the limelight, as a result of which there is a great increase in the number of finance aspirants, looking to make a career in this field. The skills of financial modeling have become somewhat indispensable, when it comes to making a career in the very competitive industry of Finance. Financial Modeling basically refers to drawing up of, a number of models, with the help of tools like MS excel and the likes, in order to project the financial statements of a particular company. In order to get an entry into this exciting field, a professional is required to have in depth knowledge about certain concepts such as, Financial Accounting, Equity Valuation and MS Excel. While belonging to a background related to Finance, may seem sufficient education qualification, in this highly competitive world, it does not cut it. This is mainly the reason why, a lot of professional education institutes are becoming popular by the day. Institutes like Imarticus Learning, which excel in offering tailor made, industry endorsed courses in various branches of Finance like, asset management, portfolio management, investment banking as well financial modeling; are soon becoming the go-to choices of a number of Finance aspirants.

Once you have the proper educational qualifications, with a certification in financial modeling, the options are limitless. The various opportunities that can come your way, include that of an Equity Research Analyst, these professionals work quite a lot with financial models before giving out recommendations to their clients. Financial models play a substantial role in Investment Banking as a number of Investment Bankers perform valuations of target companies, before they go on to pitch buyers and sellers. Other fields which have a number of opportunities for those with an expertise in financial modeling include, Credit Research, Project Finance, Portfolio Investments and so on.

Apart from the job opportunities, there is one more important thing that any Finance enthusiast must know. It is that, there are various different types of Financial Models and it is equally important to have an expertise in almost all of them. There is Equity Valuation model, which deals with the intrinsic value of the company, which is basically obtained by using a number of valuation methods like Trading comparable, Transaction comparable and so on. Then there is the Leveraged Buyout Model, which basically any substantial debt funding that is supported by a small portion of a company’s own equity. Project Finance Model, consists mainly of capital extensive projects, wherein professionals are expected to build models, which project estimate future revenues, costs, funding structures and so on. Credit Models are basically used in order to evaluate the credit risk, which arises from different business segments, this type of models are used mainly in financial institutions as well as, credit rating agencies. Apart from these said models, there are some other models, which include payroll, equity dilution, mergers and so on. While it is a fact that financial modeling can be easily mastered by someone, from the field of finance. It is also true that anyone who doesn’t belong to the field of finance, but has sufficient interest in the field can also think of making it into a career option.

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3 Skills to Master Before You Turn 30
3 Skills to Master Before You Turn 30

These days, there is a rising trend in the corporate world. This trend basically refers to the demand for professionals who are trained, not only academically, but also possess skills which are expected by the particular industries. There was recently a study conducted which concluded that about 35% of the HR Managers are still unable to find candidates suitable for a certain position, not because of their educational qualifications, but their inability to understand and relate to the soft skills that any industry would be in search of.

This is the reason why a number of fresh graduates have collectively taken to being groomed so as to ensure they have the skill set to enter the industry as well as the corporate world. Imarticus Learning is focused on providing candidates professional training, as well assisting them in achieving all the industry-endorsed skills which are expected out of them. Most of the candidates attending these courses are looking to have a career change. Individuals, who have freshly graduated, have a long way of learning to go through before they are able to master the corporate world.

 

Here’s three skills that these young graduates must master.

Honesty

Although the most beaten down of all the values that one is taught throughout their lives, honesty is one soft skill which will take you a long way, in the corporate world. Instead of thinking of making excuses either when a deadline isn’t met, or when you are late for presentation, follow the advice of the experts and be honest. While you wouldn’t be expected to tell all of the details of your misgivings, you certainly will gain much more credibility if you truthfully state down the reasons, for your incompetency, instead of threading a web of lies.

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Ability to Receive Criticism

This is one soft skill, which everyone needs to cultivate regardless of their age. It is always easy to turn your nose up, or be extremely resentful towards anyone, who is trying to find out the mistakes in your work. While no likes being shown that they are wrong, it is a necessary to cultivate certain amounts of empathy within oneself, only then would you be able to openly accept any kind of criticism that comes your way.

Communication

The ability to communicate with anyone and everyone is certainly something worth possessing. While some may be lucky enough to possess the gift of the gab, others are unfortunate enough, to be repetitive victims of the foot-in-mouth syndrome. Communication does not mean only verbal communication, it may also refer to writing a mail, being a participant in a meeting, or giving a presentation to a roomful of onlookers. For those who have the gift of the gab, consider tweaking yourself in order to sound more refined and come across as someone who can hold their own. While for those shy people, it becomes necessary to challenge yourself and try and find new ways to communicate more effectively.

 


 

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4 Most Exciting Data Based Start Ups In India Today!
4 Most Exciting Data Based Start Ups In India Today!

As the world rapidly becomes data driven today, the most exciting places which are rapidly developing as a result of this are all the startups out there. While data technologies have been around for quite a while now, various factors like the increasing speed of data generation, as well as the ability to store data, have resulted into the emergence of a number of advanced data run startups. Apart from being either involved with data analytics and being data driven, these startups are very unique in terms of their various founding members and the educational backgrounds they belong to, the industry that they work in and the opportunities available therein, the kind of investment and funds they receive or raise and so on. Apart from these deciding factors, there is also the growth factor, which makes for a great importance and good career in big data field in terms of how popular a startup goes on to be.

Here’s a list of four such amazing, Indian start-ups, which would be a dream for any Data Science aspirant, to work with.
bigdata-startups
Edge Networks

Taking the use of data science, to enhance the HR departments of every company out there, this startup was founded in the year 2002. With data science and artificial intelligence, as its core drivers, Edge Networks, in the bid to decrease the cumbersomeness, encountered by a number of job seekers out there, has come up with their product, HIREalchemy. Their solution basically deals with talent acquisition, internal workforce optimization and talent analytics.

Fluid AI

Gone are the days, when one would wish for a way to operate any and every electronic device, with the help of a touch screen. Now it is actually possible for anyone to control, any electronic device with a screen, just by their gestures. The best part? An Indian startup, Fluid AI is attempting to create a huge revolution, which would be really gainful for not only the government of India, but also for the Finance, Web and Marketing industries. Imagine how exciting it would be if any screen, could assist you with more efficiency than any human assistance would be able to provide.

Mad Street Den

While we all may joke around about how sometimes, online shopping can be entirely misleading. Especially when you want to buy the kind of dress that you’ve been dreaming of. You find the exact one and order it, but something entirely different is delivered to your place, which is absolutely not what you have been looking for. This is where this start-up’s flagship product, Vue.ai comes into the picture. It relies heavily on the concepts of Machine Learning and Artificial Intelligence and attempts to provide the customers, with exactly what they’ve been looking for by sending targeted emails and the likes.

SigTuple

India is a very large, populous nation and more often than not, a lot of doctors are faced with the herculean task of being able to provide diagnosis, as well as treatment very promptly. This is where this start up comes into the picture. It is being devised to assist various medical practitioners, in rapid diagnosis, with the help of Image Processing, Classification with AI and Machine Learning at its core.

These amazing startups make it seem like a dream, for any Data Scientist to work in the Indian Data Industry. With various institutes like Imarticus Learning, offering specialization courses in various data analytics tools like R, SAS and Hadoop, achieving the dream is very possible today.

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The Benefits of a CISI Certification with Imarticus Learning
The Benefits of a CISI Certification with Imarticus Learning

The Chartered Institute for Securities and Investments is considered to be the leading professional body, globally, for securities, investment, wealth and financial planning professionals. Founded in the year 1992 by the London Stock Exchange, today, it has taken up the role of a global community, spanning around 116 countries and boasting of about 40,000 members. It was conferred the title of ‘Chartered Institute of Securities and Investment’ in the year 2009 when it was granted a Royal Charter. Headquartered in London, this global professional body, has its offices spread over various countries, including Sri Lanka, India, Singapore, Dubai, and Dublin.

investment banking growthThis professional body is known to offer close to 40,000 CISI qualifications every year in around 70 countries, to qualify for which candidates have to take the Computer Based Test in the various centers worldwide. Apart from this, it is also the chief examining body in the industry and thereby, offers a number of industry memberships and training to the qualifying candidates. Apart from offering qualifications, the CISI is also known to offer, the CPD scheme, also known as, Continuing Professional Development scheme, which is basically rewarded to the members of, every level of seniority, geographical location, as well as industry specialization. The institute is known to have certain charitable objectives, which are as follows;

“To promote, for the public benefit, the advancement and dissemination of knowledge in the field of securities and investments to develop high ethical standards for practitioners in securities and investments and to promote such standards in the UK and overseas to act as an authoritative body for the purpose of consultation and research in matters of education or public interest concerning investment in securities.”

Being a member of this prestigious organization, sends out a message to all your clients and colleagues, including the wider public, that you as a professional, are committed to professionalism, integrity, and excellence. Becoming a CISI endorsed member is the most beneficial in terms of networking for a professional. One can easily access the international network of 40,000 financial practitioners.

Apart from this, the CISI body organizes a number of formal mixers, like forums, events, and other social media activities, which involve and encourage their members to build an array of networks and connections, with similar professionals from across the country. Any professional who is affiliated by the designations of CISI can meet up and keep abreast with the current happenings in the financial markets, while at the same time can also discuss them, with the top level delegates from across the world at any given point. The CISI body also offers a number of training courses apart from its social events and conferences. In order to get an entry into this elite bunch of people, one has to acquire the much coveted CISI certification.

International Certification & Placement You will receive the industry endorsed Certified Investment Banking Operations Professional (CIBOP) certification and the optional CISI certified IOC (Investment Operations Certificate). The Imarticus Learning Career Services and Placements team provides you guidance and assistance throughout the program, giving you the best career opportunities in leading international firms.

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2016 M&A Round Up – II
2016 M&A Round Up – II

Continuing Part I

Goldman Sachs remains top dog.

Despite missing out on the two largest deals of the year- the $108 billion AT&T deal for Time Warner and Bayer’s $66.3 billion deal for Monsanto, Goldman Sachs still managed to lead the global M&A Volume ranking in 2016 and worked on $919.7 billion of deal activity accounting for 25% market share. This means it was still part of six of the eight biggest deals.

Record five year high for India M&A
While Global performance was lack luster, Indian M&A rebounded with a bang and Mergers and acquisitions deals in the country hit a record 5-year high at $61.44 billion, around Rs 4 trillion, according to news reports. News CorpVCCEdge reports that volume remained high at 1,002 up from 995 deals in 2015. But the kicker was the value which was up 159 percent from$23.71 billion in 2015. Even more interesting was that Indian Domestic M&A contributed to more than half of the value and more than 67 percent of volume as 633 domestic M&A deals accounted for $32.77 billion. Once you drill down, however, you see that three deals accounted for this massive jump – Essar Oil Ltd, Max Life Insurance Co Ltd and Reliance Communications. Private equity investors exited a total of 239 investments and pocketed $6.79 billion, which is almost 17 per cent more in value terms year on year and also the highest in the last five years. And after what feels like an infinite rut for IPO’s, the Equity Capital Markets bounced back with a five year high and $4.12 billion was raised across 93 IPOs.

Indian Private Equity- More bark than bite

PE deal volume fell by almost 25 percent to 1309 deals, with deal value crashing 44 percent to $12.38 billion. Start up funding contributed to 57 percent of total private equity investments and while bankers expect to see more seed money flowing into sectors like Fin Tec, Healthcare, Education and Travel, early stage investments showed a significant decline of 39 percent to 1.59 billion which shows that most reports were more hype than real action.


Investment banking fees hit record lows.

It looks like the good days of 2006 might never return for bankers even as M&A deal volumes and values seem to be making a comeback. Investment banking fees fell 7 percent worldwide in 2016, dragged down by a 23 percent fall in equity capital market fees. What’s even more surprising is that despite Indian M&A enjoying a record year in 2016, fees dropped 11 percent and banks earned a measly $440 million in revenue with most of that going to foreign banks.

2017 to be as good or bad as 2016

While capital is available and cheap, bankers fear the consequences of geopolitical events but state that CEO confidence is at a high. With regard to Indian M&A, everything depends on the budget in March, which might see more reforms. We will just have to wait and see. We will analyze forthcoming 2017 trends in the next few posts.

 


 

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The Emergence of Big Data In The Field of Agriculture
The Emergence of Big Data In The Field of Agriculture

The recent couple of years have been witness to this huge amount of buzz created all over the IT world by the concept of ‘big data’, with it more often than not being related to in the print and electronic media. One of the most phenomenal discoveries was that all the data that has been rapidly generated was stored in the entirety of the past decade. For instance, it was in the year 2000 when 25% of the world’s information was being stored in the virtual format. Cut to the current year, more than 98% of information is stored in the digital format in our daily lives. Believe it or not, today, the entire world is generated more than 30,000 gigabytes of data that is almost being generated every second of every day. When you sit to carefully think about this, the change seems to be of almost astronomical proportions. This as it would, in the progression of all things IT, has led to the creation of huge data sets and in a way there has also been the whole issue, about how and where and especially in what manner would the data be stored.

Analytics Big DataMore important than that is the question of what. The answer to what of this data, more specifically the answer to what exactly can be done about this data, lies within two words: Data Scientist. These are professionals who are basically given the responsibility of extracting value out of these huge data sets, thus in a way, assisting in making valuable decisions, for the growth and development of the companies. Today there is no field left that, has not been penetrated by the. The various fields that have been developed, in terms of their efficiency and their functioning, mostly due to the presence of big data are, health, IT, finance, oil and gas and many more.

The newest addition to this ever increasing list, is the field of agriculture. The National Research Council, is of the opinion that something known as, precision agriculture can come into existence due to the introduction of big data. It basically refers to a management strategy, which will be making use of information technologies to collect data, from multiple sources in order to facilitate various quality decisions, when it comes to anything and everything related to crop production. While so far the system of precision agriculture and big data are a little different from each other, in terms of the technical aspects, there are chances of inculcating these two concepts in the near future.

Precision agriculture is still involved, with graphical representations of the field maps, wherein the main purpose is to just identify the areas which would be less nutrient deficient in order to sow seeds. As this concept already has a lot of generation of data in place, it surely will help with the process of data analytics, thus these two fields being complementary. This promises a lot of development in terms of job opportunities for all those great Data Scientists out there.

If you are planning to earn career in data science, then Imarticus Learning offer various business and data analytics courses in both online and classroom mode.

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2016 M&A Round Up – I
2016 M&A Round Up – I

2016 was a good year, but the glory days are clearly behind us.

‘Remember 2016?’ is going to be a sentence uttered by many in years to come. It was a watershed year for many reasons. There was the UK’s Brexit vote which led to the pound falling significantly in early hours as well as large number of failed deals, and finally, of course, the rise and rise of Donald Trump who assumes the office of the President of the United States on the 20th of this month. It was however a record year for Indian M&A even if Investment Banking fees both globally, and here in India, has witnessed quite a dip.

Global Performance dips after three consecutive year-on-year increases

mergers-and-acquisitions2016 saw a fall in Global M&A total deal value to $3.84 trillion, a significant drop from the 2015 annual record high of $4.66 trillion. AT&T’s $107.9bn bid for Time Warner – announced in October 2016, was the largest deal of the year, which of course led to October becoming the biggest month on record in terms of value for global M&A with $600.8bn. Volume also fell in tandem with an 18% year-on-year decline. Cross-border M&A was also down 3% globally year-on-year, but China outbound volume hit a record high at $225.4bn, as did US inbound M&A at $486.3 billion. But another standout feature of 2016 was how many deals failed- almost 570 billion, the largest number since the 2008 crisis. This was primarily driven by a increasingly strict regulatory environment, which lead to the breaking down of the $160 billion Pfizer –Allergan deal. Winners curse and buyer-seller disconnect were other reasons cited for M&A failures, showing that companies are rethinking how much they are willing to pay for assets.

Technology led the way for the second year in a row.

Clocking in $612.9bn in deal value, 2016 was hot on the heels of previous year but didn’t quite manage to catch up to the 2015 record of $691.6bn. The $ 47billion Qualcomm –NXP Semi conductor deal was not only among the largest deals of the year, but the largest ever deal in the chip industry. At a decent second came Softbank’s acquisition of ARM holdings at $31.6 billion followed by Microsoft acquisition of Linked In at $26.2 billion, which came in third and was the largest acquisition in social media platform. An interesting outcome of the top eleven deals of the year showed that while the two largest, in terms of value, belonged to actual hardware technology, seven out of the eleven were software services including Quintiles Transactions buying IMS Health and Oracle buying Netsuite. Bankers expect this trend of convergence to continue in 2017 as large firms hanker after AI, Security, Big Data and Cloud technologies to expand their reach.

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What’s Machine Learning All About?
What’s Machine Learning All About?

All you data enthusiasts out there, you surely must have heard of this term ‘machine learning’ in the past few years. While not many know what exactly this term refers to, which has been leading to quite some amount of befuddlement. Let’s start small firstly by decoding what is exactly meant by Machine Learning. It refers to a method of data analysis which automates analytical model building. In other words, the process of machine learning assists computers in unearthing hidden insights without the need of having to train or program them to accomplish the same. What this concept means today and what it meant in the past, are entirely different things, courtesy the rapid developments in computing technologies.

 

#ImarticusLive Webinar on Understanding Machine Learning – For Beginners – on Jan 13th – REGISTER NOW!

 

Machine Learning emerged from pattern recognition, with generous helpings of a certain theory, which firmly believed that computers were capable of learning to perform certain tasks, without being programmed. Those experts, who were either working with or were highly intrigued by the concept of Artificial Intelligence, believed this to be the next step in the existence of smart machines. There were various efforts takes, albeit with numerous trials and errors, in order to check whether any computer, could independently learn from data. While the earlier, pre-formed concepts and untested theories, existed for quite some time; but machine learning as we know it today has been quite a recent development. Whether you belong to the IT field or not, you surely have experienced the marvel, that machine learning is, in your daily life. Don’t think that is possible? Well, machine learning the way it exists today is not really a very complex concept, nor is it made up of the most complicated algorithms. For instance, the new and polished, Google car that is capable of driving itself, online recommendations from your favorite websites, the feedback mechanisms, which almost all businesses depend on nowadays, are all examples of the working of machine learning.

Most industries have already come to the conclusion that Machine Learning is essential for their growth and development. This is the reason why many industries, which work with a large amount of data are looking ways and means to inculcate machine learning. This would majorly benefit the industries because of the fact that, data can be gleaned most efficiently, without any human intervention. Financial Services which include banks and other related business have begun to use machine learning, in order to accomplish two primary purposes, namely the identification of important insights as well as detecting frauds, if any. Government agencies have also begun to make use of this concept, in order to minimize identity theft, as well as to increase the efficiency of their daily work and saving money. Machine learning is sought after as a growing trend, especially in the healthcare industry, which is a result of the popular usage of wearable devices and sensors. Other fields which are increasingly making use of Machine Learning are Marketing and Sales, Oil and Gas. This is an even more reason for the increasing demand of Data Scientists well versed in machine learning.

 

machine-learning webinarImarticus Learning is hosting a webinar where our industry expert Dr. Nisha Arora will discuss Machine Learning: What it is and why it matters. “Machine Learning” is a term trending not only within the IT industry but also in industries such as healthcare, marketing, finance, human resource and education.

 

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