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The Big Challenge in Machine Learning:

Machine Learning (ML) is one of the hottest buzz words these days and has some really fancy applications across industries. However, there is a significant impedance in the acceptance of ML models in regulated industries, mainly financial services and pharma. This is primarily driven by the lack of adequate explainability of ML models, both from the top leadership and the regulatory perspective.

BlackRock (the world’s largest asset manager with ~6.5 trillion dollars asset under management) spent multi-million dollars to develop really powerful neural-network-based liquidity models that significantly outperformed the traditional liquidity models. The firm, however, had to shelve those as the developers weren’t able to satisfactorily explain their working to the top leadership.

ML explainability is an area of research that is gaining a lot of traction. The key objective herein is to make the ML models more transparent, fair, ethical, and accountable, and thus more acceptable.

For those interested in exploring this high-demand area, I’ve attached a paper that I read a year back. Thought to share as it provides a nice overview of ML explainability and is good enough to give a jump-start on the topic. www.mlinstitute.org

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The next cohort is October 2019 and followed by April 2020.

Quantitative finance is moving into a new era. Traditional quant skills are no longer adequate to deal with the latest challenges in finance. The Machine Learning Institute Certificate offers candidates the chance to upgrade their skill set by combining academic rigour with practical industry insight.

The Machine Learning Institute Certificate in Finance (MLI) is a comprehensive six-month part-time course, with weekly live lectures in London or globally online. The MLI is comprised of 2 levels, 6 modules, 25 lecture weeks, lab assignments, a practical final project and a final sit down examination using our global network of examination centres. The updated MLI certificate now includes 25 lecture weeks, our new Partnership with NAG Numerical NAG (Numerical Algorithms Group), additional practical lab sessions, an extended module 1 on Supervised Learning, new topic updates on Cloud Computing, Natural Language Processing, Practicalities of Neural Networks: CNN, Advanced Practicalities of Neural Networks: Generative NN, and a new full module on Times Series by Microsoft.

This course has been designed to empower individuals who work in or are seeking a career in machine learning in finance. Throughout our unique MLI programme, candidates work with hands-on assignments designed to illustrate the algorithms studied and to experience first-hand the practical challenges involved in the design and successful implementation of machine learning models. The MLI is a career-enhancing professional qualification, that can be taken worldwide.

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Machine learning course

Under the domain of Artificial intelligence, Machine Learning Institute (MLI) is offering
high-edged Machine Learning Course. On a global deep learning provision, this course will
make the candidates capable of handling computers through the mode of self-learning. The
candidates will be able to handle highly complicated data analyses, without using explicit
programming. The idea is to remove any kind of chaotic assessments in the process of
analysing finance and data.

Machine Learning Course by MLI aims in generating technological intelligence in the
candidates, for managing quick and automatic calculations related to huge data content. At
MLI, the experts understand the significance of increasing availability of data from various
sources. It has been also realised that the huge data are directly connected to the higher level
difficulties in assessment. The Machine Learning Course at MLI is the solution to such
upgraded conditions of difficulties. This is the reason that MLI well-equips its students with
new models of predictive assessments and teaches them to use the same in the most accurate
way.

Accumulations and calculations of heterogeneous sets of data from banking and financial
institutions demand critical process of evaluations. The entire labyrinth of such data needs
professional expertise. At MLI, the Machine Learning Course has been customised as per the
demands of different banking and financial institutions. Candidates will gain knowledge in
these fields, and thereby will be capable to offer error-free and highly secured results to the
clients. Moreover, the candidates will get the opportunity to attain multifaceted skills to excel
in this domain of Artificial Intelligence.

Keyword: Machine learning course

Machine Learning in finance

The efforts at MLI remains focussed in resolving the limited ways of handling statistical
analyses under traditional statistics. The advanced Machine Learning in finance has been
designed to restrict any kind of inaccurate and unreliable results from the analytical
proceedings. With emphasis over the financial domain, MLI develops its candidates with the
capability to offer absolute information to the clients.

Machine Learning in finance at MLI aims to offer conceptual understanding about every
fundamental aspects of financial calculations. The candidates are trained in terms of handling
the daily challenges of the industry for financial services. MLI hence, lays importance to the
stability of practical implications of diversified advanced tools and upgraded applications. By
implementing technological support to the industry of finance, MLI’s course of Machine
Learning in finance equips the candidates in offering guidelines for business profitability.
The candidates also gain expertise in revealing the kind of competition that a business might
be facing. The candidates also get efficient in meeting the competitive edges of regulating
financial policies and norms as per respective demographic location of the firm or business.

Machine Learning in finance at MLI, makes the candidates capable of assessing relevant
price, credit quality, and contracts related to insurance. This learning provision is also
focused in making the candidate efficient enough to use automated interactive sessions with
the clients, especially for fast authentic solutions. Adaptation of the techniques of Machine
Learning in finance makes the candidate capable of assessing trading positions of the client,
and thereby follow right way for generating profits.

Keywords: Machine Learning finance

Machine Learning in quantitative finance

In order to gain greater assessment capability over classical kinds of statistical derivations,
the Machine Learning Institute (MLI) offers Machine Learning in quantitative finance.
Based on advanced technological applications and methodological tools, MLI brings in such
courses that will make the candidates capable of eradicating errors from the financial data
evaluating processes.

In the financial sector, the course on Machine Learning in quantitative finance is a boon for
resolving highly complicated quantitative finance assessments. MLI gives analytical training
and comprehensive deep-learning provisions to the candidates so that they gain the capability
to meet the international challenges, after the completion of the course.

The basic financial assessments are related to the basics of initiating quantitative mode of
business and trading. Through Machine Learning in quantitative finance, the candidates will
attain proficiencies in becoming acquainted with diversified kinds of financial investments.
Adequate professional knowledge will offer understandings of international executions of
trading and assessment amidst financial fluctuations. Expertise in handling trading issues by
assessing necessary algorithms and resolving complicated statistical portfolios, will be an
added advantage of Machine Learning in quantitative finance. Moreover, the candidates will
gain relevant hold over multi-asset trading and predictions related to upcoming financial
challenges.

Development of regulatory compliance and improvement of dealings in the insurance
contracts, are integral part of Machine Learning in quantitative finance, at MLI. Through
these provisions, MLI aims to create professional experts with innovative thinking and
solutions for international financial arena. Thus, with its Machine Learning in quantitative
finance, MLI is creating the platform for the faces of future financial advisors.

Keywords: Machine Learning quantitative finance

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Introducing The Machine Learning Institute Certificate in Finance (MLI) Welcome to The Machine Learning Institute Certificate in Finance (MLI). The MLI comprises of 2 levels, 6 modules, 25 lecture weeks, lab assignments, a practical final project and a final sit down 3 hour examination using our global network of examination centres.

Quantitative fnance is moving into
a new era. Traditional quant skills
are no longer adequate to deal with
the latest challenges in fnance.
The Machine Learning Institute
Certifcate offers candidates the
chance to upgrade their skill set
by combining academic rigour
with practical industry insight.

This course has been designed to empower individuals
who work in or are seeking a career in machine learning
in fnance. Throughout our unique MLI programme,
candidates work with hands-on assignments designed to
illustrate the algorithms studied and to experience frsthand the practical challenges involved in the design and
successful implementation of machine learning models.
The MLI is a career-enhancing professional qualifcation,
that can be taken worldwide.

Pl do visit our Facebook Page in Machine Learning : https://www.facebook.com/findtuto/?modal=admin_todo_tour

Pl do visit Our Linkedin Page : https://www.linkedin.com/in/mahesh-sarkar-mba-cqf-ca-cfa-usa-6919367b/

Keywords : Machine learning certificate
Machine learning training
Machine learning institute
Machine learning course
Machine learning in finance
Machine learning in quantitative finance

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World’s Largest Global Online Machine Learning Courses at www.findtutoronline.net

Mahesh Sarkar