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Day: December 16, 2018

Why Knowing Python Is Essential For AI And Machine Learning?

Posted on by Imarticus

Getting started in a field like machine learning or artificial intelligence can be a challenge. Due to the numerous coding mechanism sand tools available to help you program your potential AI software, using an open-source tool like python is considered an essential skill. Python is one of the easiest coding languages around today and is also one of the most versatile and wide-spreading tools available.

To learn Machine Learning and AI you will need a specific language. There are several languages that one can learn including C++, Java, and R. However, most industry experts agree that Python is one of the best places to start. It has a well-stocked library and comes with an extensive and diverse toolkit.

Here is a closer look at how you can chart your learning of Python for Machine Learning and AI.

  1. Learn the Syntax

Python is all about the various syntax. The good news is that you do not have to learn all of it. However, there is no getting around learning the basic syntax of Python. With this step, it is recommended that you do not spend too much time on it. A few days, up to a week, is enough to learn the basic syntax of Python as you can always refer to it later.

There are many places on the web where you can familiarize yourself with artificial intelligence courses including on the main Python website.Other web pages include Imarticus Learning who teach Python with learning data science as the end game.

What Is The Scope Of Business Analysis?

Posted on by Imarticus

The scope of the business analysis is all-encompassing as it works across the broad aim of business improvement with technology or without it. The spectrum of activities that fall under this field is a bit of management, finance, strategy making,dealing with both external and internal customers, ensuring regulatory and compliance issues are dealt with, strategising for better efficiency, cost analysis and everything that falls in between.

What Is The Future Of Business Analysis?

Uninteresting example is the development of the iPod. It was known that Hitachi had developed a mini-storage of 1 GB data capacity and were unable to take it to the market. At the same time, Apple had developed a music app that could not be used independently of storage capacity.Steve Jobs put these two together to produce the hugely popular invention he called the iPod. He was a successful entrepreneur.

The above success story can not only be inspirational, but it can also clearly demonstrate how a smart business analyst can use ML, AI, data analytics and predictive technology to create innovative products and steer the enterprise to success and huge profits.

Across the board the last decade has seen technological advances and replacement of repetitive jobs by AI. The need for business analysis and profits for the enterprise will never end. Technological advancements will also continue happening. However, most importantly the need for smart analysts with domain-expertise has far exceeded the supply.

Why Do Business Analysis Courses?

With technology implementation, most roles across various departments are collaborative and involve other teams and specialists across the organisation. The scope for experienced and tech-savvy business analysts’ role is growing exponentially. The job role of the Business Analyst is lucrative and offers great payouts.

This role is one of the front line management roles responsible for a variety of management and strategy processes. The need of the hour is to have expertise in technology related to functioning. This would obviously mean acquiring a new skill set if you are employed or re-training those employees vital to the organisation.

Prerequisites:

A prerequisite to becoming a Business Analyst would be that you have a technological background (Ex: IT Graduates) or that you have relevant domain expertise (Ex: Commerce Graduates with knowledge of systems used). You will also need to have some relevant experience in the management of internal and external customers as well as in assessing and analysing requirements needs and issues for which you need to develop workable solutions.

Business analysis courses:

Retrain and re-skill at Imarticus Learning. They offer an IIBA-endorsed and recognized Business Analysis Certification Program. The topics covered here help you gain the much-required expertise and immersive exposure to Business Analysis, and the technology powering techniques and frameworks on BABOK 3.0 which has recently been prescribed as the norm.

The best feature here is that you learn in real time on relevant projects by working on case-studies, workshops,seminars and project work. You will thus have a well-rounded education and anew set of skills to handle multi-tasking with the best tools, techniques, and practices from industry-drawn certified trainers.

If you qualify then don’t wait any longer. Retrain and upgrade your skills today.

Also Read: Why Business Analysis is Important Part of Business

How Companies Use Machine Learning

Posted on by Imarticus

How Companies Use Machine Learning

Machine Learning and data processing has changed drastically the way things work inenterprises and even our daily lives. Digital technology has been able to enablemachines with ML software and algorithms to process intelligently and unsupervised the large volumes of data generated. The advent of the internet and such limitless uninterrupted data processing has generated many an error-free gainful insight.

Businesses can now transform to the high-efficiency mode where profits increase by creative use of employee time in using the insights and forecasts provided by machine learning, data analytics, big data processing, and accurate predictive analysis.

What are companies using ML in?

Learning and Scanning data images, text and voice: Repetitive tasks and tasks that are labour-intensive are now a one-step zero-error machine process. Digitizing data has scored in the following areas.

  • Data entry, documentation and report generation: The way data is processed, the volumes of data available, used and predictive analysis of data analytics have impacted lives and businesses to upgrade and upskill for better efficiency and profits.
  • Image Interpretations: Complex insights are possible with accurate predictive insights which have huge ramifications in the film, media, health, banking, insurance sectors and more.
  • Previewing videos: Data previewing in video form can help to process in speeds far higher than humans could ever think of. They can also match the videos to preferences of people, match advertisements to these, edit and curate video footage in fractions of a second! The advertising, marketing, media, film, and video industry has been transformed forever. The revenues generated with accompanied efficiency and speed has led to collaborations of machines and humans in a positive manner.

Uncovering and forecasting insights: ML has truly transformed the way we function with computers and ML replacing routine, repetitive tasks. Notably, the following sectors have improved tremendously.

Monitoring Markets: Mining of big data can result in time-saving and provides lead time in relevant and urgent monitoring of opportunities. News channels, competing in the business world, taking corrective actions and strategising have become a matter of nanoseconds with ML.

  • Root cause analysis: This technique used in production lines can predict and forecast failures of tasks, identify the root cause of the issues, suggest strategy changes required and generate alerts in these conditions.
  • Predictive maintenance: This tool is most effective in its forecasting abilities and ensures there will be no downtime in functioning.
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  • Predictive modelling: ML has enabled matching customer profiles and preferences to products available and browsing history-making auto-suggestions a routine affair. The huge potential of generating through advertisements matched to such preferences can generate more efficiency and high revenues.

With the advent and use of ML in everything you do, there is an urgent need for collaborators who can tweak software, create new applications, use the predictive and forecasting alerts and insights gainfully to improve profits, efficiency and save time, effort and costs. It is still early days and the right time to upgrade and re-skill with machine learning courses that will enable smart and creative use of machine learning benefits mentioned above.

Big data Hadoop training courses are also required to help ML understand and use the mind-boggling quantities of data that is now usable. Without the will to effectively use data and the training needed to adapt you will be left far behind. The situation today is adapt, or stay behind!