AI News, 2018 new year resolutions to thrive in an Algorithmic World – Part 1 of 3

2018 new year resolutions to thrive in an Algorithmic World – Part 1 of 3

We often think of Data science and machine learning as skills essential to a niche group of researchers, data scientists, and developers.

As data science and algorithms get integrated into all aspects of businesses across industries, data science like Microsoft Excel will become ubiquitous and will serve as a handy tool which makes you better at your job no matter what your job is.

If you are big on new year resolutions, make yourself a promise to carve your place in the algorithm-powered world by becoming data science savvy.

1st Resolution: Learn the building blocks of data science If you are interested in starting a career in data science or in one that involves data, here is a simple learning roadmap for you to develop your technical skills.

Learn Python or any another popular data friendly programming language you find interesting (Learning period: 1 week – 2 months) If you see yourself as a data scientist in the near future, knowing a programming language is one of the first things to check off your list.

Learn what machine learning algorithms do and which ones to learn (Learning period: 1 month – 3 months) Machine Learning is a powerful tool to make predictions based on huge amounts of data.

According to a recent study, in the next ten years, ML algorithms are expected to replace a quarter of the jobs across the world, in fields like transport, manufacturing, architecture, healthcare and many others.

Learn TensorFlow, Keras, or any other popular machine learning framework (Learning period: 1 month – 3 months) After you have familiarized yourself with some of the machine learning algorithms, it is time you put that learning to practice by building models based on those algorithms.

While there are many cloud-based machine learning options that have click-based model building features available, the best way to learn a skill is to get your hands dirty.

Machine Learning Tutorial | Machine Learning Algorithms | Data Science Training | Edureka

Python Certification Training for Data Science : ***** This Edureka video on "Machine Learning Tutorial" will help you get started ..

Python Machine Learning Tutorial | Machine Learning Algorithms | Python Training | Edureka

Python Training : ) This Edureka Python tutorial (Python Tutorial Blog: gives an introduction to Machine .

What is machine learning and how to learn it ?

Machine learning is just to give trained data to a program and get better result for complex problems. It is very close to data ..

Hello World - Machine Learning Recipes #1

Six lines of Python is all it takes to write your first machine learning program! In this episode, we'll briefly introduce what machine learning is and why it's ...

Learn Machine Learning in 3 Months (with curriculum)

How is a total beginner supposed to get started learning machine learning? I'm going to describe a 3 month curriculum to help you go from beginner to ...

Machine Learning Algorithms | Machine Learning Tutorial | Data Science Training | Edureka

Data Science Training - ) This Machine Learning Algorithms Tutorial shall teach you what machine learning is, and the ..

Introduction - Learn Python for Data Science #1

Welcome to the 1st Episode of Learn Python for Data Science! This series will teach you Python and Data Science at the same time! In this video we install ...

11. Introduction to Machine Learning

MIT 6.0002 Introduction to Computational Thinking and Data Science, Fall 2016 View the complete course: Instructor: Eric Grimson ..

How to get started in machine learning - best books and sites for machine learning

NEW COURSERA MACHINE LEARNING COURSE** This is a short video which gives advice on how to learn Machine Learning. Machine ..