• Prasoon Purwar
• Prof. Neha Bhardwaj

We are in digital era where data comes in abundance, using self-learning algorithms from machine learning, we can turn available big data into knowledge. Machine learning is important aspect of data science that allows the systems to solve problems without being explicitly programmed. This brief review of machine learning covers basic of this technology and the recent researches have been done. This paper also describes the challenges faced and the future opportunities of machine learning. Some technical challenges are like, creating algorithms that can computationally scale to large data sets, designing machine learning algorithm that can learned and gives better results without requiring large volume of labeled data and to improving the hardware to implement big machine learning systems.

"Machine Learning Recent Researches and its Challenges and Opportunities: A Review", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 5, page no.253-258, May-2019, Available :http://www.jetir.org/papers/JETIR1905M42.pdf

"Machine Learning Recent Researches and its Challenges and Opportunities: A Review", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 5, page no. pp253-258, May-2019, Available at : http://www.jetir.org/papers/JETIR1905M42.pdf