Exploring the dynamic realm of Machine Learning! Ever curious about the algorithms that make your Netflix suggestions spot-on? That’s the magic of data analysis at its finest!
Ready to delve into the world of predictive analytics? Where numbers transform into powerful tools predicting trends and shaping the digital landscape!
But buckle up, because deep learning takes it to the next level. Picture teaching computers to be the James Bonds of technology – intelligent and sophisticated! From self-driving cars to virtual assistants, it’s a tech thriller unfolding in real-time!
Excited to ride the wave of innovation with me? Let’s decode the secrets, make predictions, and shape the future together! #MachineLearning#TechInnovation#DataScience#AI#DigitalTransformation#TechLeadership#FutureTech#InnovationHub#DataAnalytics#DeepLearning#TechForGood#DigitalInnovation#LeadershipInTech#TechRevolution#EmergingTech

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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
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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
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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
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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,
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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
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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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Highly focussed and professionally upgraded machine learning training from Machine
Learning Institute (MLI) has been structured with fundamentals of deep learning. The target
of MLI is to offer high notch machine learning training to the candidates so that they can
excel and add innovation to their professional careers.
Machine learning training at MLI is a unique opportunity to gain hold over key technical
challenges related to the module of neural network and time series data analyses. For neural
networks, MLI begins its module with perception model and gives professional trainings for
back propagation to support excellence in optimization routines in the candidate. With
provisions of gaining machine learning training for models of Neural Network, MLI is in
possession of many developed and technically impressive applications. The training sessions
are subject to make the candidate understand critical algorithms for implementing neural
networks in the domains of industrial management and financial analyses.
MLI is professionally organised to give skills in the process of analyzing data for time series
speculations. The machine learning training approach at MLI is strategically noted in terms of
meeting future challenges in the respective profession. The candidates are trained with
planning of various operations in different professional domains. They are further nurtured
for gaining the capability to manage strategic approaches in the fields of healthcare,
education and finance.
Since, MLI is more concerned about the meeting current challenges and possible hurdles in
different professional fields, the machine learning training is a boost to the upcoming
generation who believes in excellence and visionary innovation.

Keywords: Machine learning training

Keeping pace with advanced technological concepts, is the forte of Machine Learning
Institute (MLI). MLI gives more advanced training and learning provisions to the candidates.
It is offering Machine Learning Certification in the domains of Quantitative Finance, Model
validation, Insurance, Information and Technology, and Risk management.

The basics of Machine Learning Certification concentrate in empowering the candidates in
financial peripheries. In relation with this domain, the candidates gain added edges over all
the related fields of finance. MLI remains focussed in giving the utmost modern and strategic
way of resolving financial challenges that persist in both national and international business
spheres.

MLI Machine Learning Certification offers six month part time global online education
support from London. In the beginning the candidates receive intensive technological
knowledge. Then the course gets further elaborated by practical understandings related to
data science, advanced quantitative techniques, and even acquisition of functionalities of
Artificial Intelligence.

With higher rates of positive reviews and responses, the MLI Machine Learning Certification
has been recognised as the best platform for gaining professional excellence in finance. It
offers unique ways to comprehend and resolve complicated algorithm problems and offers
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Machine Learning Certification from MLI is meant for enhancing careers and attain scopes in
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worldwide basis. MLI is keen to give overall growth to the candidate to meet international
challenges and Machine Learning Certification from MLI is more appropriate way to handle
international financial demands.

Keywords: Machine Learning Certification

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Machine Learning Certificate

In the highly developed world of technology, the significance of Machine Learning Certificate offers authentication to the upgraded quantitative finance skill sets; in the candidate. In this arena, Machine Learning Institute (MLI) is very proud to offer world class certification to its students.

With MIL Machine Learning Certificate, the candidate attains the scope to upgrade his/her skills in both theoretical and practical fields of using machines for diversified financial domains. The course has been structured to meet the professional demands of the practitioners. It is absolutely connected to the practical field of implementing machine based analytical approaches, in quantitative finance.

The Machine Learning Certificate is a kind of qualification that aims to enhance both long and short-term career-oriented prospects of a candidate. It is extremely valuable in handling fields related to IT, Model validation, Quantitative Finance, Insurance, and Risk management. Candidates gain insights into critical way of resolving mathematical problems like, linear algebra, probability, statistics and optimization.

It is important for the candidates to understand that Machine Learning Certificate is an advanced edge over the traditional mode of handling quantitative skills. In order to offer absolute results and great precision to the financial solutions, the candidates must have the capability to handle text-processing and big data. For this purpose, excellence can be only obtained through the course under Machine Learning Certificate by MLI.

In a duration of six-month MLI Machine Learning Certificate offers a very comprehensive analytical course to the candidates. The aim is to meet international financial challenges and make the student capable of handling global financial market in the most competitive way.

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