About: Data-Driven Science (DDS) provides training for people building a career in Artificial Intelligence (AI). Follow us on Twitter.

Introduction

Today, most businesses generate a lot of data, and Machine Learning (ML) is the tool to make use of it and unlock significant value for the business.

However, every company and project is different, so people working on data science problems need to have a strong understanding of all important steps for successful Machine Learning. Only then, it is possible to identify and build end-to-end ML solutions that can actually make a business impact.

In this blog post, we walk through…


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About: Data-Driven Science (DDS) provides training for people building a career in Artificial Intelligence (AI). Follow us on Twitter.

In recent years, AI has been taking off and became a topic that is frequently making it into the news. But why is that actually?

AI research has started in the mid-twentieth century when mathematician Alan Turing asked the question “Can Machines Think?” in a famous paper in 1950. However, it’s been not until the 21st century that Artificial Intelligence has shaped real-world applications that are impacting billions of people and most industries across the globe.

Top 4 Most Popular Ai Articles:

1. AI for CFD: Intro…


About: Data-Driven Science (DDS) provides training for people building a career in Artificial Intelligence (AI). Follow us on Twitter.

Deep learning is a subset of Machine Learning in Artificial Intelligence (AI). When an AI imitates the human brain for processing data, creating patterns, and making decisions, it is Deep Learning. It uses multiple layers to progressively extract higher-level features from the raw input. The word ‘deep’ in ‘deep learning’ refers to the number of layers through which the data is transformed. Through this, it is possible to learn patterns from unstructured and unlabelled data. …


About: Data-Driven Science (DDS) provides training for people building a career in Artificial Intelligence (AI). Follow us on Twitter.

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Photo by Charlie Deets on Unsplash

Artificial Intelligence (AI) has many inspiring applications, however, self-driving cars or autonomous vehicles (AV) is probably the most exciting one. It will be a true game changer and affect almost every person on the planet.

Due to an exponential increase in processing power among other factors, the past decade has seen a huge increase in AI research & development. One of the recent technologies enabled by this AI bonanza is bots: they can now play video games better than humans. …


About: Data-Driven Science (DDS) provides training for people building a career in Artificial Intelligence (AI). Follow us on Twitter.

Data Science is a new and exciting field which has made the lives and careers of many people very fruitful. However, this growth was caused by the struggle and hard work of several people. In this article, we will talk about some of these individuals, along with how they’re contributing to our field.

Demis Hassabis

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Demis Hassabis. Photo: Souvid Datta/Backchannel

Demis is a British AI researcher and neuroscientist, most popular for being the founder and CEO of Deepmind, an Alphabet subsidiary which made headlines after beating the Go…


About: Data-Driven Science (DDS) provides training for people building a career in Artificial Intelligence (AI). Follow us on Twitter.

Introduction

Before writing about real-world applications, let’s get a better understanding of Machine Learning first.

Machine Learning (ML) is a field of Artificial Intelligence (AI). The idea is that a computer program can learn and adapt to new data without human interference. But what’s the difference between Machine Learning and Artificial Intelligence? Good question..

Artificial Intelligence refers to the broader concept of simulated intelligence in machines, where machines are programmed to think like a human and mimic the way a person acts…


About: Data-Driven Science (DDS) provides training for people building a career in Artificial Intelligence (AI). Follow us on Twitter.

Data Science is a huge field in which people are hyped to get a job in. However, if you have a look at the job postings, you’ll see a lot of varying terminologies like Data Scientist, Data Analyst, Data Engineer, and Machine Learning Engineer.

In this article, we’re going to explain these job roles in detail, going through the responsibilities, skill requirements, and average base pay for each role.

Data Analyst

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Photo by Lukas Blazek on Unsplash

Data Analysis involves acquiring data from sources like databases and data systems…


About: Data-Driven Science (DDS) provides training for people building a career in Artificial Intelligence (AI). Follow us on Twitter.

Introduction

First, what does Data Science actually mean? It is a field of Big Data and seeks to provide meaningful information and insights from large amounts of complex data. Data Science combines statistics and computation in order to interpret data for solving business problems and making better decisions. Companies in industries such as finance, healthcare, retail, or internet employ Data Scientists to use their data effectively.

Information & Data Explosion

Data is one of the most valuable assets today, and we live in a world that…


About: Data-Driven Science (DDS) provides training for people building a career in Artificial Intelligence (AI). Follow us on Twitter.

Introduction

AI was one of the most fast growing fields in the previous decade, and is sure to grow even further in the ’20s. Along with growth in the field, events focussed on the research & tech behind AI are also increasing.

In this article, we’ll list out some of the best AI & Data Science related events, conferences and meetups coming up this year.

Check them out and see if any interest you!

1. TensorFlow Dev Summit

First in the list is TensorFlow Dev Summit…


About: Data-Driven Science (DDS) provides training for people building a career in Artificial Intelligence (AI). Follow us on Twitter.

Introduction

Data Science is one of the most exciting fields of the 21st century. The power to understand human voices, recognize faces, understand text, and much more has vast applications across industries. In this article, we’re going to define some of the most important terms in more detail. This is Part I of a series explaining typical Data Science terms.

Data Science

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The Data Science Venn Diagram

Let’s start with the base of all terminologies: Data Science. Data Science is a multifocal field, consisting of an intersection of Mathematics…

Data-Driven Science

Artificial Intelligence (AI) Training | datadrivenscience.com

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